Entries |
Document | Title | Date |
20110106587 | DISTRIBUTED AUDIENCE MEASUREMENT SYSTEMS AND METHODS - Systems and methods are disclosed for customizing, distributing and processing audio fingerprint data. One or more items of audio content are processed to generate pre-recorded audio fingerprints After identifying one or more specific devices in accordance to panelist and/or household data from a central site, an activation message is communicated to the identified devices, together with the pre-recorded audio fingerprint in accordance with a predetermined schedule. After receiving the activation message, the portable device records the audio content, forms an audio fingerprint, and performs local matching to determine if a match exists. The matching result is then communicated back to the central site for further processing and analysis. | 05-05-2011 |
20110112890 | SENSOR-INTEGRATED MIRROR FOR DETERMINING CONSUMER SHOPPING BEHAVIOR - A mirror system includes an image sensor coupled to a mirror, and gathers consumer shopping preferences for merchandise items. During operation, the system gathers one or more sequential images, from the image sensor, of a consumer wearing a first wearable merchandise item in front of the image sensor. Next, the system identifies in the one or more sequential images a first merchandise item being worn by the consumer. Then, the system determines a demographic group associated with the consumer, and detects behavior patterns for the consumer, wherein the behavior pattern indicates an interest level of the consumer for the identified merchandise item. The system then determines a mapping between the identified consumer demographic group and an interest level for the identified merchandise item, and produces a model which encodes the mapping. | 05-12-2011 |
20110119111 | Measuring Effectiveness of Advertisements and Linking Certain Consumer Activities Including Purchases to Other Activities of the Consumer - A method for linking online computer activity with non-online consumer activity by creating a unique identifier for each consumer; storing online and non-online consumer activity in a database indexed by the unique identifier; and modifying online or non-online consumer offerings based on processing the stored online and non-online consumer activity. | 05-19-2011 |
20110145040 | CONTENT RECOMMENDATION - Content recommendation techniques are described. In an implementation, content preferences for a group are determined by identifying an intersection of content preferences for individual users in the group. Content that is currently available for presentation is recommended based on the intersection by comparing the content preferences for the group with metadata for the content that is available for presentation. | 06-16-2011 |
20110153391 | PEER-TO-PEER PRIVACY PANEL FOR AUDIENCE MEASUREMENT - Systems and methods for operating an anonymous peer-to-peer (“P2P”) privacy panel for audience measurement is disclosed. A plurality of portable devices are configured to record and process research data pursuant to a research operation. Each of the panelists associated with each portable devices provide panelist data to a central site, where the panelist data includes demographic information, previous media exposure data, and other data. In accordance with panelist data, a customized P2P network is created where media exposure data is obfuscated and communicate among portable devices in the network. By utilizing a P2P network together with obfuscation techniques, panelist privacy is greatly increased. | 06-23-2011 |
20110166911 | Leveraging Customer Information to Create and Utilize Financial Networks - Aspects of this disclosure relate to a financial relationship and social relationship identifying computer which may include a processor and a memory storing computer executable instructions that, when executed, cause the computer to perform a method for identifying financial relationships and social relationships between customers of a business. The method for identifying financial relationship and social relationships between customers of a business may include determining one or more people with whom a first customer has conducted at least one financial transaction, electronically receiving customer data providing identities of customers of the business determining which of the one or more people are also customers of the business by comparing the one or more people with the customer data and compiling a subset of the one or more people including customers of the business with whom the first customer has conducted at least one financial transaction. The method may also include determining one or more people with whom a first customer has a social relationship. | 07-07-2011 |
20110173046 | SOCIAL NETWORK MARKETING PLAN COMPARISON METHOD AND SYSTEM - A comparison method and system including retrieving by a computer, first data associated with first interactions between users associated with social networks. The computing system generates a first graph illustrating the first interactions. The computing system identifies targeted users associated with a marketing plan for the users. The computing system enables the marketing plan and retrieves second data associated with second interactions between the users. The computing system generates a second graph illustrating the second interactions, compares the second graph to the first graph, and generates a third graph illustrating first order differences between the first interactions and the second interactions. | 07-14-2011 |
20110173047 | Systems, Computer-Readable Media, and Methods for Activation-Based Marketing - A system, computer program product, and method for activation-based marketing are presented. In one embodiment, the system includes one or more data storage devices configured to store demographic data, healthcare utilization data, and response data associated with a target individual. The system may include a server coupled to the one or more data storage devices. The server may be suitably programmed to determine a life stage associated with a target individual, determine an attitudinal segment associated with the target individual, and determine a response model associated with the target individual. The server may assign the target individual to at least one of a predetermined set of segmentation groups in response to the life stage, the attitudinal segment, and the response model associated with the individual. The system may generate a personalized communication modality tailored to the target individual in response to the segmentation group assigned to the target individual. | 07-14-2011 |
20110173048 | METHOD FOR COMPUTING REACH OF AN ARBITRARY RADIO ADVERTISING SCHEDULE - A radio station market analysis program extends Cume values for individual stations to multiple stations (for a particular geographic market, a particular demographic, and a particular daypart) according to the formula C=[1−Π | 07-14-2011 |
20110191142 | USING NETWORKING SITE INTERACTIONS TO GENERATE A TARGET LIST OF POTENTIAL CONSUMERS - Embodiments of the present invention relate to systems, methods, and computer-storage media for providing a method of presenting advertisements to a target group of potential consumers generated from a group of seed consumers. In one embodiment, a target list request is received from an advertiser. A set of seed consumers associated with the advertiser is then determined. A set of potential consumers is then determined based on the set of seed consumers. Further, a subset of the set of potential consumers is determined, each potential consumer of the subset having a common characteristic. A target list of potential consumers is then generated comprising at least a portion of the subset of potential consumers. The target list of potential consumers is then provided to the advertiser. | 08-04-2011 |
20110208562 | BUSINESS INTELLIGENCE DASHBOARDS FOR PERFORMANCE ANALYSIS - Novel tools and techniques for providing decision support to enterprises. Certain of these tools analyze and/or display information, including, in a particular aspect, revenue and/or other financial information, in novel ways. These features can provide users with enhanced insight into the performance of various product lines and/or into opportunities to enhance such performance, including (but not limited to) insight into the performance of two or more product lines in conjunction with one another. In another aspect, certain tools provide heretofore unavailable facilities for evaluating the success of an acquisition, for example, by providing insight into the market compatibility of an acquired product line with an existing product line. | 08-25-2011 |
20110231227 | METHOD AND SYSTEM FOR PURCHASE-BASED SEGMENTATION - A method and system for purchased-based segmentation of potential customers employs the use of actual, observed purchases instead of presumptions and correlations to improve the accuracy of segmentation and involves collecting empirical data for a client on actual purchasing behavior of a group of customers and applying statistical modeling techniques to the empirical purchasing behavior data to identify segments or clusters of the customers that exhibit similar purchasing propensity characteristics. Thereafter, the segments or clusters are further differentiated from one another according to other factors having a tendency to directly affect actual purchasing behavior of the customers within the segments or clusters, and potential customers are then identified according to a correlation with the segments or clusters for customized marketing. | 09-22-2011 |
20110258018 | SYSTEM AND METHOD FOR SCHEDULING DEMAND RESPONSE EVENTS IN A NETWORK - A system and method for receiving demand response data and for grouping customers into customer groups based on the demand response data. One or more of the customer groups is scheduled for a demand response event based on the demand response data and forecast data. The selected customer groups are notified and the demand response is implemented for the selected customer groups. | 10-20-2011 |
20110258019 | Methods and Systems for Interactive Data Finder - The systems and methods disclosed herein include an interactive data finder that allows an advertisement purchaser to associate media programs with demographics and subscriber information. The data finder comprise a search module for processing input data to determine data representative of media buying opportunities as a function of search options, where the search options are representative of media buying criteria. The data finder also comprises a category module for refining the data representative of the media buying opportunities as a function of filter options, where the filter options are representative of media buying criteria related to the media buying opportunities. The refined data provides the advertisement purchaser with the information that associates the media-buying opportunities with at least one of the demographics and the subscriber information. | 10-20-2011 |
20110307297 | METHODS FOR CREATING A GROUP PRACTICE - A system and method of creating a financial instrument from at least one of a good, service and combination thereof based on quasi-fungibility thereof comprising specifying at least one of a reference good, service and combination thereof; specifying at least one of a reference use, specification and combination thereof of said at least one of a reference good, service and combination thereof; identifying at least one of an alternative good, service and combination thereof analogous to said at least one of a reference good, service and combination thereof and having at least one of a use, specification and combination thereof quasi-fungible to said at least one of a use, specification and combination thereof of said at least one of a reference good, service and combination thereof; assessing the degree of quasi-fungibility of said at least one of an alternative good, service and combination thereof by comparison of said at least one of an alternative good, service and combination thereof to said at least one of a reference good, service and combination thereof and by comparison of said at least one of a use, specification and combination thereof of said at least one of an alternative good, service and combination thereof to said at least one of a use, specification and combination thereof of said at least one of a reference good, service and combination thereof; determining if said degree of quasi-fungibility at least meets a predetermined level of quasi-fungibility; and creating a financial instrument based on said at least one of an alternative good, service and combination thereof if said degree of quasi-fungibility at least meets said predetermined level of quasi-fungibility. | 12-15-2011 |
20110307298 | EVALUATING FINANCIAL RETURNS ON SYNDICATION INVESTMENTS - Systems, methods, and associated software for evaluating financial performance of syndication investments (or other advertising or marketing investments) are provided. A financial performance evaluating system, according to one implementation, includes a first analyzing module configured to determine an organization's donor income from donors within a designated market area. The financial performance evaluating system also includes a second analyzing module configured to determine the programming cost to air programs in the designated market area. From these, a processing module is configured to calculate one or more financial metrics based at least on the donor income and programming cost. | 12-15-2011 |
20110307299 | MARKET SEGMENTATION ANALYSES IN VIRTUAL UNIVERSES - A method for market segmentation analysis includes a computer collecting virtual universe data associated with interactions between avatars, entities, and objects in a virtual universe. The computer collecting the virtual universe data includes the computer recording portions of the virtual universe data as the interactions occur. The method includes the computer determining criteria with which to perform a market segmentation analysis on the virtual universe data. The method further includes the computer performing the market segmentation analysis on the virtual universe data, which includes the computer analyzing a plurality of groups of the virtual universe data. The groups are formed based on whether an avatar activity includes social activity and business activity in the virtual universe relative to a time of day. The method further includes the computer generating a report indicating results of the market segmentation analysis. | 12-15-2011 |
20110313815 | Systems and Methods Enabling Marketing and Distribution of Products and Services by Product and Service Providers - Systems and methods are provided for distributing a product or service for a provider using a platform for distributing products or services by a plurality of providers. A platform is provided by which a plurality of providers market and provide products or services to users. Information about first activity is obtained in relation to the particular product or service or other products or services of the first provider. Information about second activity is obtained in relation to other products or services of other providers that share at least one attribute with the product or service. Data is provided to the first provider where the data includes the information about the first activity in relation to products or services of the first provider and the information about the second activity in relation to other products or services of other providers based on the at least one shared attribute. | 12-22-2011 |
20120035983 | Method and system to compare business metrics - A method and system provide information by which an audience made of one or more prospects or customers of payroll and benefits processing may compare its human capital metrics with human capital metrics of other customers. A customer database is maintained for each customer that includes demographic data, employee data and financial data for that customer. Each customer database is updated based on periodically processing payroll and benefits transactions for that customer. A benchmark database is created by aggregating selected fields of data from databases of customers of interest so that the benchmark database represents a sample of customers of interest. An audience database is created for the one or more prospects or customers forming the audience by retrieving the selected fields of data from the customer databases for the one or more customers forming the audience. The audience database is compared to the benchmark database, and results of the comparison are reported to the audience. | 02-09-2012 |
20120046995 | ANONYMOUS CROWD COMPARISON - Systems and methods are disclosed for anonymously comparing user groups, such as but not limited to crowds, to determine a degree of user overlap. In general, a hash value is obtained for a first user group, where the hash value includes a hash value component for a number of two-user permutations within the first user group. Similarly, a hash value is obtained for a second user group, where the hash value includes a hash value component for a number of two-user permutations within the second user group. Thereafter, a degree of user overlap between the first and second user groups is determined based on a comparison of the hash value for the first user group and the hash value for the second user group. | 02-23-2012 |
20120046996 | UNIFIED DATA MANAGEMENT PLATFORM - A unified data management platform creates audience segments by combining proprietary and third party data, assists in determining what data to buy and how to manage all aspects of third party purchased data, controls data permissions by client, tracks data utilization, and attributes and reports data cost. The platform provides solutions that address how to leverage custom audience segments across multiple demand side platforms (DSPs) and multiple media channels, such as display, video, mobile, digital TV, and digital-out-of-home, and provides approaches that allow management of all aspects of Internet advertising from a custom domain. | 02-23-2012 |
20120046997 | BUSINESS PERFORMANCE SEGMENTATION MODEL - A customer trending analysis and reporting system that enables business users to augment their internally focused accounting measurement systems with an outward, customer-focused measurement so as to simply define and quantify historic performance implications of customer satisfaction and retention, while concurrently clarifying forward opportunity ongoing, around which the organization at large will naturally align to purposefully and more efficiently improve the business's growth performance. | 02-23-2012 |
20120066028 | METHODS AND SYSTEMS FOR ACTIVITY-BASED RECOMMENDATIONS - Embodiments of computer-implemented methods and systems for activity-based recommendations are described. One example embodiment includes receiving data indicating historical activities of a user community, the historical activities including historical activities of the target user, selecting a reference group of users from the user community based on analysis of the historical activities of the target user, receiving generally current time activities of the reference group of users, the generally current time activities including those activities that have occurred within a defined time window, and recommending items to the target user based on the generally current time activities of the reference group of users. | 03-15-2012 |
20120072265 | Method of Managing Prospective Business - The present invention reveals the next generation in customer acquisition procedures. LeadMaker™ (“LM” is a relationship-based system for handling business customers and prospective customers during the period between initial response and follow up by sales. LM is designed to fill the gap between Marketing acquiring responses and Sales establishing primary contact responsibility. | 03-22-2012 |
20120109715 | VISUALIZING VISITATION PATTERNS AT SITES OF A COMMERCIAL FACILITY - Sensor data characterizing detected physical presence characteristics of customers visiting respective sites distributed about a commercial facility is obtained. Visitation patterns of different demographic groups of the customers to the sites are determined. A graphic visualization of one or more of the visitation patterns is generated. | 05-03-2012 |
20120150586 | APPARATUS AND METHOD TO RECORD CUSTOMER DEMOGRAPHICS IN A VENUE OR SIMILAR FACILITY USING CAMERAS - A venue monitoring and reporting system including a venue, a first camera located with respect to the venue so as to capture a customer entering the venue, a second camera located with respect to the venue so as to identify at least one demographic characteristic of the customer entering the venue, and a computer operating with the first and second cameras, wherein the computer and the first camera update a count of customers entering the venue, and wherein the computer and the second camera update the at least one demographic characteristic of customers entering the venue. | 06-14-2012 |
20120203595 | Computer Readable Medium, File Server System, and Method for Market Segment Analysis, Selection, and Investment - In an embodiment, computer readable medium, file server system, and method include a marketing tool suite with a competitive advantage tool, a target tool, and an opportunity calculator tool. The marketing tool suites includes a plurality of instructions that, when executed by a processor, cause the processor to provide a graphical user interface including text, a plurality of user-selectable options, and text input fields to prompt a user through the plurality of marketing tools and receive user input based on a selected case to generate a marketing report. | 08-09-2012 |
20120215588 | System And Method For Automated Contact Qualification - Contact lead quality is determined and presented to guide selection of contact leads for a predetermined activity, such as sales of a product, service or solution. A lead generation engine interfaces with a lead qualification module, an enterprise historical database and a lead confirmation tool to selectively analyze the lead information and qualification information to develop an ordered contact list for multiple contact leads, the ordered list ranking contact lead quality in multiple quality categories. A contact lead qualification graphical user interface presents multiple lead quality category ratings and values for a contact lead with each lead quality category indicative of a contact lead characteristic. These leads are then deemed relevant to sales and can be input in an organization's customer relationship management tool. | 08-23-2012 |
20120232956 | CUSTOMER INSIGHT SYSTEMS AND METHODS - Example systems and methods of identifying customer insights are described. In one implementation, a method generates seed data associated with a likely advertisement audience, and generates sets of interests and demographic clusters based on the seed data. An advertisement campaign is launched based on the sets of interests and the demographic clusters. The demographic clusters are divided into smaller clusters based on advertisement campaign results. The method then identifies interests associated with individuals engaging with specific advertisements. | 09-13-2012 |
20120232957 | DYNAMIC MARKETING SYSTEM AND METHOD - Provided herein are systems and methods for providing access to marketing data via a reduced-complexity marketer GUI for dynamically defining market segments for use in marketing campaigns. | 09-13-2012 |
20120239458 | Measuring Effectiveness of Advertisements and Linking Certain Consumer Activities Including Purchases to Other Activities of the Consumer - A method for linking online computer activity with non-online consumer activity by creating a unique identifier for each consumer; storing online and non-online consumer activity in a database indexed by the unique identifier; and modifying online or non-online consumer offerings based on processing the stored online and non-online consumer activity. | 09-20-2012 |
20120271681 | APPARATUS AND METHOD FOR PRODUCT OPTIMIZATION ON THE BASIS OF NATIONAL AND INTERNATIONAL SERIAL MEASUREMENT DATA - The invention relates to an apparatus and a method for product optimization taking into consideration national and/or international anthropometric or socio-demographic population characteristics, wherein the country specific data ( | 10-25-2012 |
20120296701 | SYSTEM AND METHOD FOR GENERATING RECOMMENDATIONS - A system and method generates recommendations of products or services to individuals. Product rankings by a large number of individuals are translated into approach and avoid response data for various categories of the products or services. The translated data is utilized to compute approach entropy values, avoid entropy values, mean approach intensity values, and mean avoid intensity values. One or more of a trade-off plot, a value function plot, and a saturation plot may be generated from the values. The plots may be analyzed to derive preference feature values. Clusters may be formed of individuals with the same preference feature values. Products or services that are highly ranked by members of a cluster may be recommended to other members of the cluster that have yet to purchase or consume the highly ranked products or services. | 11-22-2012 |
20120310708 | Method and System for Selecting Similar Consumers - Illustrative embodiments of the present invention are directed to methods and computer systems for reporting a consumer's usage of a resource. A computer system retrieves consumer characteristic data and resource usage data for the first consumer and a set of second consumers including characteristic data related to each consumer. The computer system selects at least one consumer that is similar to the first consumer from the set of second consumers based upon a plurality of common criteria between the first consumer's characteristic data and a second consumer's characteristic data. The computer processes may be performing iteratively until the total number of similar consumers is equal to or greater than the predetermined number of consumers. Once a desired number of similar consumers is found, the computer system generates a report that displays the first consumer's resource usage data and the at least one similar consumers' resource usage data. | 12-06-2012 |
20120316922 | METHOD AND SYSTEM FOR CREATING SIMILARITY-BASED OVERLAY NETWORK OF MICRO-MARKETS - A method and system for creating a similarity-based overlay network of micro-markets. One or more distributed micro-markets can be operatively connected via a self-organizing overlay network to exchange data between distributed micro-markets in the network. A market similarity function can be computed by applying a filtering function with respect to a network protocol that is defined over particular attributes in order to enable decentralized clustering of similar markets. The data can be further advertised with respect to a set of neighbor markets in order to avoid selfish and rational behaviors between the markets. Such an approach dynamically evolves a structure of the micro-markets over time in order to optimize a desired market interaction in the network. | 12-13-2012 |
20130006711 | SYSTEM AND METHOD FOR ENHANCING PRODUCTIVITY OF SALES AND MARKETING OPERATIONS OF PHARMACEUTICAL COMPANIES - A system and method for enhancing productivity of sales and marketing operations of pharmaceutical companies is provided. The method includes collecting information pertaining to pharmaceutical sales and marketing operations from all available sources. The method further includes processing the collected information to identify a plurality of market segments, to determine performance of sales representatives, and to determine impact of sales and marketing efforts. Further, the method includes generating marketing content based on the processed information. Marketing content is generated based on feedback on previous sales and marketing materials, specific questions asked during sales interactions and new research on pharmaceutical medicines. Ultimately, pharmaceutical sales and marketing campaigns are generated based on the generated marketing content. | 01-03-2013 |
20130013374 | RELATIONSHIP PRICING MEASUREMENT FRAMEWORK - Apparatus for providing hypotheses prioritization and analysis are provided. The apparatus may include an electronic processor module. The electronic processor module may be configured to calculate enterprise-wide exposure to a plurality of entities. The plurality of entities may include countries, other enterprises, interest rates and/or other financial statistics. The electronic processor modulo may be further configured to determine, with respect to a single one or more of the plurality of entities, at least one of a market risk metric, a value at risk metric, an issuer risk metric, a counterparty risk metric and a financial risk metric. The apparatus may further include an output device configured to output a risk value reflective of the at least one of a market risk metric, a value at risk metric, an issuer risk metric, a counterparty risk metric and a financial risk metric. | 01-10-2013 |
20130013375 | MARKET SEGMENTATION ANALYSES IN VIRTUAL UNIVERSES - A computer system for market segmentation analysis includes program instructions to be executed. The program instructions are configured to collect virtual universe data about avatars, entities, and objects in a virtual universe. The program instructions are configured to perform a market segmentation analysis on the virtual universe data, wherein the market segmentation analysis comprises a first segmentation across multiple segments of the avatars that is based on an amount of time and an amount of money spent in the virtual universe. The market segmentation analysis further comprises a second segmentation across multiple segments of the avatars that is based on whether activity of the avatars includes social activity and business activity in the virtual universe relative to a time of day. The program instructions are configured to receive, from users, consent allowing collection of the virtual universe data and to present a reward to the users for giving the consent. | 01-10-2013 |
20130024242 | PROTECTING PRIVACY IN AUDIENCE CREATION - A method for generating microsegments includes retrieving a first set of information including activities attributable to a first plurality of entities and first entity identifiers; retrieving a second set of information including characteristics attributable to the first plurality of entities and second entity identifiers; combining the first and second sets of information using the first and second entity identifiers to obtain a combined set of information, the combined set of information not including personally identifiable information; generating a plurality of microsegments based on selected activities and/or characteristics criteria from the combined set of information; receiving a third set of information including characteristics attributable to a second plurality of entities; and matching characteristics in respective microsegments to characteristics of entities in the second plurality of entities to identify an audience of entities that have a propensity to carry out certain activities based on the selected activities and/or characteristics. | 01-24-2013 |
20130030868 | Scheduled Split Testing - A set of enrollment buckets are allocated to a business unit and are subdivided such that a portion of the enrollment buckets are allocated to at least one test. A user ID can be hashed using a first hash function to map the user to one of the enrollment buckets. A set of test buckets are also subdivided such that a portion of the buckets are allocated to one or more test groups and a portion of the test buckets are allocated to the control group. If the user was mapped to a bucket that is allocated to test in the set of enrollment buckets, the user ID will again be hashed using a second hash function to map the user to one of the test buckets. | 01-31-2013 |
20130035989 | CONDUCTING MARKET RESEARCH USING SOCIAL GAMES - Techniques are described for conducting market research via interactive game play mechanics. A game platform may allow a market research sponsor to create and publish online games which can identify latent consumer sentiment (and other market research data), while simultaneously providing an entertaining and engaging experience for the game participants. The games may be tailored such that elements of game play elicit responses from participants that reveal the desired market research data, e.g., consumer product awareness, consumer sentiment, brand preferences, loyalty, trends in awareness and sentiment, etc. Providing an engaging online experience provides an element of situational distraction, leading to more authentic responses from the participants as well as greater participation rates. | 02-07-2013 |
20130060606 | EFFICIENT CONTRACTING WITH ASYMMETRIC INFORMATION - Techniques include accessing predetermined utility of customers based on customer types and qualities. The qualities are based at least on previously identified non-functional characteristics of services that influence decisions of the customers in buying the services from a service provider. Based at least on the accessed predetermining utility, quality-price pairs are determined to create a predetermined amount of profit for the service provider assuming the service provider offers the services to a customer having the customer type at a level of quality corresponding to an associated one of the qualities in a pair and for the corresponding price in the pair. Each quality in the pairs corresponds to one of the customer types. Determining the price-quality pairs further includes mapping one or more of the service-related characteristics to one or more information technology resources in response to the service-related characteristic being dependent on one or more other service-related characteristics. | 03-07-2013 |
20130060607 | System and Method for Strategizing Interactions With a Client Base - The present disclosure describes novel systems and methods that can be utilized to evaluate and/or direct an interaction with a consumer database and/or evaluate a consumer database, where the consumer database contains information about consumers and particular products and/or services held or used by the consumers. The interactions may be, for example, determining a strategy for sales, marketing, cross-selling, and/or retaining one or more of the consumers. The evaluations may include, for example, hierarchically ranking the consumers and/or determining a clustering of the consumers. | 03-07-2013 |
20130073340 | SYSTEMS AND METHODS FOR GENERATING BUSINESS INSIGHTS - A system for generating business insights is disclosed. The method may comprise analyzing internal data based upon a merchant request, generating a business insight based upon the analysis of the internal data and the merchant request, wherein the business insight is in a category of at least one of: customer intelligence, competitive intelligence, and market intelligence, and transmitting the business insight to a merchant associated with the merchant request. Customer intelligence may comprise information about a customer's spending behavior, demographics, and lifestyle characteristics. Likewise, competitive intelligence may comprise information about the competitive performance of the merchant, customer loyalty trends associated with the merchant, and market share of the merchant, and market intelligence may comprise market demographics, growth drivers, and industry-wide trends. Internal data may comprise data a credit issuer possesses pertaining to a particular consumer. | 03-21-2013 |
20130080210 | ENERGY BENCHMARKING ANALYTICS - A benchmarking computing application is configured to create a benchmark run for a segment of customer profiles. Customer profiles from the segment include a parameter, termed an adjustment parameter, that may affect energy consumption by the associated customer. The results of the benchmark run include energy consumption values for individual customer profiles in the segment, an average energy consumption value for the entire segment of customer profiles, and also adjustment energy consumption value. The adjustment energy consumption value reflects the portion of energy consumption by a particular customer attributed to the difference between the average value of the adjustment parameter for the segment and the value of the adjustment parameter for the particular customer profile. | 03-28-2013 |
20130117072 | SYSTEM AND METHOD FOR MEASURING AND DISPLAYING RESIDENTIAL REAL ESTATE AND PROPERTY VALUES - A system and a method for displaying real estate information include a display illustrating a heat map generated from at least one database. The at least one database includes objective data about plurality of real estate properties. The heat map providing a comparative market analysis for a desired location selected by an end user. | 05-09-2013 |
20130132158 | COMPUTING EARLY ADOPTERS AND POTENTIAL INFLUENCERS USING TRANSACTIONAL DATA AND NETWORK ANALYSIS - The early adopters and potential influencers (EAPI) system, method and computer-readable medium provide a way to identify early adopters and potential influencers. The EAPI system obtains a list of purchases for customers of merchants and/or subscriptions from a transaction tracking system. The EAPI system creates a time-based transaction network, and using a scoring function, the EAPI system determines an early adopter and/or potential influencer ranking among customers in the network. The EAPI system may use one or more customer attributes to determine a customer's influence with respect to different dimensions. | 05-23-2013 |
20130138478 | Pharmaceutical/Life Science Technology Evaluation and Scoring - A method for evaluating and/or scoring pharmaceutical/life science technology is provided. The method includes importing data of a publication; transforming the data into a structured schema; ingesting the structured schema to determine a context of the data and draw associations between the data and a plurality of profiles; and generating a score based on the associations between the raw data and the profiles. The method may also include generating meta-data based on the determined context of the data and/or one or more quantitative metrics having a temporal component based on the ingested data. Related apparatus, systems, techniques and articles are also described. | 05-30-2013 |
20130138479 | CLASSIFICATION OF NETWORK USERS BASED ON CORRESPONDING SOCIAL NETWORK BEHAVIOR - Exemplary embodiments described herein permit classification of a new mobile user in a communication network based on demographics associated with the new mobile user. The demographics may include all or any of age, income, occupation, frequency of mobile usage, time of mobile usage, and type of mobile usage associated with the mobile users. In an exemplary implementations described herein, the method of classification may include representing, for a sample set of mobile users, each mobile user by a node and mobile usage between two nodes by an edge connecting the two nodes. The method may further include forming one or more communities of nodes based on increasing modularity. Modularity is a measure of how closely two nodes or communities are connected. The method also includes identifying a plurality of subunits by splitting each of the one or more communities based on articulation point determination. Subsequently, the method includes determining one or more structural properties associated with each of the plurality of subunits. Next, the one or more structural properties are mapped to the demographics of the plurality of subunits. Finally, the method includes classifying the new mobile user based on the determined structural properties. | 05-30-2013 |
20130166352 | MOBILE CATEGORIZATION - Method and system for assigning a category to a user comprising the steps of: obtaining network usage records from a mobile network. Extracting cell information from the network usage records. Determining location information from the extracted cell information. Generating one or more user behaviour attributes from the determined location information. Assigning a user category to the user based on the determined one or more user behaviour attributes. | 06-27-2013 |
20130173345 | SYSTEM AND METHOD OF DETERMINING USER DEMOGRAPHIC PROFILES - A method determines a user demographic profile of a user that visits one or more websites of a predetermined group of websites. The method includes generating a first record of visits by the user to the websites of the predetermined group of websites. The method further includes providing one or more website profiles comprising demographic characteristics of each website visited by the user of the predetermined group of websites. The method further includes calculating an estimated user demographic profile of the user by using the first record of visits by the user and the one or more website profiles. | 07-04-2013 |
20130179223 | METHOD AND ARRANGEMENT FOR SEGMENTATION OF TELECOMMUNICATION CUSTOMERS - A method and arrangement in a segmentation manager ( | 07-11-2013 |
20130197974 | SYSTEMS AND METHODS FOR BEVERAGE SALES AND MANAGEMENT - In one embodiment, a system is provided that includes a storage component configured to store first information pertaining to a plurality of beverages, the first information including, for each beverage, information assets associated with the beverage, and second information pertaining to a plurality of restaurants, the second information including, for each restaurant, a list of beverages from the plurality of beverages that are offered for sale by the restaurant. The system further includes a processor configured to transmit at least a portion of the first information and the second information to a plurality of handheld electronic devices used by customers at the plurality of restaurants, the transmitted portions enabling a customer dining at a restaurant to view, via the customer's handheld electronic device, the list of beverages offered for sale by the restaurant and the information assets associated with each beverage. | 08-01-2013 |
20130197975 | HOUSEHOLD LEVEL SEGMENTATION METHOD AND SYSTEM - Methods and apparatus for household level segmentation are disclosed. An example method to classify consumers in clusters includes receiving population data indicative of a population of consumers and receiving a plurality of profiles, at least one profile to evaluate partitioning of the population of consumers. The example method also includes selecting at least one of the plurality of profiles based on a count limit value in accordance with a classification tree dimension split. | 08-01-2013 |
20130218640 | SYSTEM AND METHOD FOR MANAGING ADVERTISING INTELLIGENCE AND CUSTOMER RELATIONS MANAGEMENT DATA - Provided are systems and methods for managing an entity's social graph including integration between advertising network management, social customer relationship management (CRM), and social media management. The system can include a social engagement engine for analyzing data from both CRM systems and advertising monitoring and management systems. The social engagement engine can be configured to segment the received data and discover insights into the social graph describing the entity's contacts. Insights developed from advertising, CRM data, and third party data can then be used to optimize advertising strategies. In some examples, the insights into an entity's connections can be used to optimize CRM strategies. CRM strategies can be employed to strengthen ties to existing customers, identify valuable customers, and recapture lost customers by delivering offers and/or opportunities to customers. | 08-22-2013 |
20130218641 | Financial Account Segmentation System - Disclosed is a method and system for optimizing an existing customer financial product account database for a financial institution. A customized product segmentation strategy based at least on the financial product account database identifies opportunities to cross-sell new credit and debit products, and increase the usage of credit and debit products among existing customers. | 08-22-2013 |
20130238397 | Data Processing Based on Online Transaction Platform - An online transaction platform implements searching for product information from a database according to category information. The products are categorized based on product attributes and sale attributes to obtain multiple product categories. The products under the same product category have same or substantially similar product attributes and sale attributes. One or more calculation algorithms may be applied to the products under each category respectively to calculate price information that corresponds to each product category. The price information refers to price information of the products under their corresponding sale attributes. The price information of the corresponding product category is displayed when a product keyword corresponding to the product category is received. The method and device described herein may improve the operation speed and performance of servers for the online transaction platform. | 09-12-2013 |
20130246124 | Systems and Methods for an Analysis Cycle to Determine Interest Merchants - The method of processing an analysis cycle to determine interest merchants may include selecting a seed merchant relevant to a topic interest, identifying consumers that have completed a transaction with the seed merchant to generate a list of identified consumers, determining merchants visited by the identified consumers, scoring all the merchants based on network connectivity, activity, and merchant over-index, updating the seed merchant in response to the list of scored merchants relative to a scoring threshold, and scoring the list of identified consumers based on the number of distinct merchants in transaction and over-indexing. Additionally, the method may further comprise producing a list of updated interest merchants and a list of updated identified consumers, where the updated interest merchants and the updated identified consumers are relevant to the topic interest. | 09-19-2013 |
20130246125 | Service Provider Analytics - A system, apparatus, computer readable media, and method are disclosed for generating analytics on customers of service provider merchants. In an example, a transaction record associated with an account identifier of a customer that purchased a first service from a first merchant may be processed and a service date for the first service may be determined. Other transaction records comprising the account identifier and that satisfy a temporal filter may be identified. Each of the other transaction records may include transaction data associated with at least one of: (1) purchase of another service to be provided within a first predetermined amount of time of the service date, and (2) purchase of a product within a second predetermined amount of time of the service date. A spending profile including information on the first service, the service date, and the transaction data for each of the other transaction records may be generated. | 09-19-2013 |
20130253985 | Real-Time Subjective/Objective Venue Evaluation Method - Disclosed is a method for providing a real-time evaluation of venues such as clubs, bars and restaurants. The real-time evaluation provides a user member with an instantaneous snapshot of a venue's happenings. The method evaluates a venue based upon both subjective and demographic criteria. Subjective criteria provide an understanding of the feeling or mood associated with a venue. Demographic criteria provide information on who is attending a venue. The method provides a real-time impression or view of the ever-changing happenings in a venue. | 09-26-2013 |
20130268322 | TARGET MARKETING - A marketing method and system. The method includes receiving by a computing system total population data. A peer group is selected from the total population data. The peer group is associated with a first marketing action. A list of attributes characterizing the peer group is generated. The attributes are associated with the marketing action, demographic data, and additional purchasing habits of the peer group. A target group of individuals of the total population data is selected. The attributes are associated with the individuals of the target group. Scores associated with the individuals of the target group are generated. The individuals of the target group are ranked based on said scores. A ranking list based is generated. The ranking list includes the individuals of the target group in a ranked order. The ranking list is stored. | 10-10-2013 |
20130275182 | SOCIAL AUDIENCE ANALYSIS - Example systems and methods of analyzing a social audience are described. In one implementation, a method receives social audience data associated with multiple users. The method identifies multiple preferences associated with the users based on the social audience data. The method further identifies demographic information associated with at least a portion of the users. At least one characteristic of the users is determined based on the multiple preferences and the demographic information. | 10-17-2013 |
20130282439 | System and Method for Strategizing Interactions with a Client Base - The present disclosure describes novel systems and methods that can be utilized to evaluate and/or direct an interaction with a consumer database and/or evaluate a consumer database, where the consumer database contains information about consumers and particular products and/or services held or used by the consumers. The interactions may be, for example, determining a strategy for sales, marketing, cross-selling, and/or retaining one or more of the consumers. The evaluations may include, for example, hierarchically ranking the consumers and/or determining a clustering of the consumers. | 10-24-2013 |
20130290070 | ATTRIBUTION OF DEMOGRAPHICS TO CENSUS DATA - In general, systems, components, methods, and techniques for gathering, recording, and development of accurate user demographics attributed to accesses by client systems of webpage, web content, or other online resources is provided. For a given a subset of unique users having known demographics for a segment of traffic or general population, a demographic profile may be created for all users of the segment or population within a tolerable margin of error. Demographic data for unique machine identifications (IDs) may be assigned, aggregated, and derived from a single source, or multiple sources, such as panel data, beacon level surveys, cookie exchanges, and the overlay of profile cookies from other publishers. | 10-31-2013 |
20130339093 | System, Method, Software and Data Structure for Independent Prediction of Attitudinal and Message Responsiveness, and Preferences For Communication Media, Channel, Timing, Frequency, and Sequences of Communications, Using an Integrated Data Repository - The present invention provides a system, method, software and data structure for independently predicting attitudinal and message responsiveness, using a plurality of attitudinal or other identification classifications and a plurality of message content or version classifications, for a selected population of a plurality of entities, such as individuals or households, represented in a data repository. The plurality of predictive attitudinal (or identification) classifications and plurality of predictive message content (ore version) classifications have been determined using a plurality of predictive models developed from a sample population and applied to a reference population represented in the data repository, such as attitudinal, behavioral, or demographic models. For each predictive attitudinal (or identification) classification, at least one predominant predictive message content or version classification is independently determined. The exemplary embodiments also provide, for each predictive attitudinal classification, corresponding information concerning predominant communication media (or channel) types, predominant communication timing, predominant communication frequency, and predominant communication sequencing. | 12-19-2013 |
20130346156 | System and method for targeted advertising on parcel packages - A method for displaying messages that are placed on packages being shipped to consumers in the form of labels that are targeted to specific consumers based on publicly available data or shopping behavior data. The method includes receiving information regarding one or more packages to be delivered to one or more recipients. The method also includes retrieving promotion data regarding one or more promotions targeted to the one or more recipients. One or more personalized promotion labels are generated from the promotion data. | 12-26-2013 |
20140006106 | ADAPTIVE IN-MEMORY CUSTOMER AND CUSTOMER ACCOUNT CLASSIFICATION | 01-02-2014 |
20140025430 | System And Method For Graphically Displaying Marketing Data - A system and method for graphically depicting an entire cloud economy by use of a graphical display allows at-a-glance understanding of the effects of pricing and effects of upgrades. The graphical display also shows the economic footprint of certain (Kernel) algorithms, and shows the rate of relative economic change between those algorithms. | 01-23-2014 |
20140025431 | System and Methods for Comparing Segments - The present invention relates to systems and methods for comparing segments. In these systems and methods, an output from a segmentation process is received. This output is reduced to a pruned set of segments. Next, separate graphs of connected segments are generated. The graphs provide a first order classification of the segments into non-overlapping spaces. The process of generating separate graphs utilizes graph theory in which each segment is a node. A central node within each of the separate graphs is identified. Lastly, the most profitable segments connected to the identified central node for each graph are analyzed for. | 01-23-2014 |
20140067475 | SYSTEM AND METHOD FOR COMPUTERIZED MARKET RESEARCH ANALYSIS - A market research computer implemented method for evaluating correlation between an entity and concepts associated with the entity. First, the method includes sending from a database, to many users data indicative of the entity and the concepts. Next, repeatedly performing for each user: collection of data indicative of sub-group of color selections, from a predefined group of colors, for both the entity and the concepts. Next, creating a data structure representing Color Association (CA) profiles respectively for each concept of the specified concepts by aggregating of sub-groups of colors selections by the users in respect of the concepts. Next, creating a data structure representing a Color Association (CA) profile for the entity by aggregating sub-groups of color selections by the users in respect of the entity. Next, calculating correlation between a CA profile of the concepts and the CA profile of the entity and reporting on the correlation results. | 03-06-2014 |
20140067476 | MARKETING DEVICE, MARKETING METHOD, PROGRAM AND RECORDING MEDIUM - A customer information collection means collects sales information from POS data of a customer, and creates customer count data associating the collected sales information with personal information of the customer. A segmentation analysis means clusters the customer into a segment per lifestyle of the customer via k-means and Ward on the basis of the customer count data. A classification rule creation means creates a rule for uniquely deciding a segment from customer information via a decision tree analysis on the basis of a segment calculation result. A factor analysis means makes a factor analysis of a sales rate of segment-based customer count data, and extracts a characteristic factor indicating a characteristic of a product as a product characteristic/customer characteristic per product group. | 03-06-2014 |
20140129291 | IDENTIFYING AN EVENT ASSOCIATED WITH CONSUMPTION OF A UTILITY - A method of identifying an event associated with consumption of a utility comprises steps of generating a utility consumption profile from utility consumption data, the utility consumption data comprising a plurality of utility consumption values measured at a corresponding plurality of measurement points, detecting an event within the utility consumption profile, comparing the detected event to a stored profile of an event, and identifying the detected event within the utility consumption profile when the detected event matches the stored profile of an event, wherein the detected event is compared to a stored profile of an event which stored profile is a probability density map. | 05-08-2014 |
20140136285 | SYSTEM AND METHOD FOR CLASSIFYING RELEVANT COMPETITORS - Competitors are classified in terms of products the competitors offer. A product set is generated from product information received from a user. Also, a competitor set is generated, where the competitor set comprises at least one competitor determined to be relevant to one or more products in the product set. A target price rule is generated that is operative to change a price offered by the user for the at least one product. A competitors relevancy can be determined by considering factors such as: (1) unique visitors to the competitor's website, (2) reviews on the competitor's website (3), ratings on the competitor's website, (4) absolute number of products common to the user's website and the competitor's website, (5) percentage number of products common to the user's website and the competitor's website, and (6) number of products offered by the competitor that comprise the product set. | 05-15-2014 |
20140143019 | MANAGING MODELED AUDIENCE EXTENSION INFORMATION - A method, system, and medium for managing modeled audience extension information that includes receiving tag information, the tag information comprising a user identifier corresponding to a user, a tag identifier, and one or more data values; adding the tag identifier and the one or more data values to a user object, wherein the user object is identified by the user identifier; assigning the user object to a segment based on the user object and a model, wherein the segment is identified by a segment identifier; and distributing the segment identifier and the user identifier to a market information buyer. | 05-22-2014 |
20140143020 | METHOD FOR GENERATING USER FLAVOR PREFERENCE PROFILES - A method and apparatus for generating a flavor preference profile for a user including the steps of obtaining user food preference information for a user regarding a plurality of food elements, the user food preference information being provided by the user, obtaining correlation information regarding the plurality of food elements and a plurality of flavor categories, the correlation information providing a correlation between user preference for each food element and user preference for each of the plurality of flavor categories, determining, by a microprocessor and based on the user food preference information and the correlation information, the relative user preference for each of the plurality of flavor categories, and generating preference output data for the user based on the result of the determining. | 05-22-2014 |
20140164062 | SYSTEMS AND METHODS FOR PERFORMING SOCIO-GRAPHIC CONSUMER SEGMENTATION FOR TARGETED ADVERTISING - Systems and methods are disclosed for determining the financial characteristics of socio-graphic segments of social media users. A financial service system links a customer's social network profile to a financial service account associated with the customer. The financial service system may receive information relating to the social network profile, and identify one or more characteristics of the customer based on the information. The financial service system may proceed to associate the customer with one or more socio-graphic groups, or “clusters,” comprising customers sharing the same characteristic. The financial service system may then generate a spending model associated with the clusters, and provide it to advertisers for purposes of generating more useful, targeted advertising and incentives to the customers. | 06-12-2014 |
20140172506 | CUSTOMER SEGMENTATION - Systems, methods, and products are provided for customer segmentation. Embodiments include offline storage of predetermined segmentation values for customers. Such offline storage typically provides upon request to event processing servers a predetermined segmentation value for a customer. In typical example embodiments, the event processing servers are operatively coupled to the offline storage, and the event processing servers generate, in real time based upon a customer action stream and the predetermined segmentation value, a current segmentation value for the customer. Example embodiments also include online storage operatively coupled to the event processing servers, the online storage receiving from the event processing servers current segmentation values, storing the current segmentation values, and exposing the current segmentation values through an interface for use in servicing customer requests. | 06-19-2014 |
20140172507 | MERCHANT ATTRITION PREDICTIVE MODEL - A method for predictive modeling of merchant attrition in a payment network. The method includes registering a plurality of merchants in the payment network, each merchant associated with at least one merchant acquirer; standardizing merchant registration information for the plurality of merchants to identify duplicate entries; assigning a unique merchant identification to each merchant; receiving transactional data from at least one merchant, the transactional data including at least a transaction amount and a transaction date; building a time series data set for the merchant from the transactional data; determining a merchant category for the merchant based on the primary industry group in which the merchant operates; and calculating a probability for the merchant to switch to a different acquirer based on one of a plurality of attrition models. | 06-19-2014 |
20140172508 | System and Method For Generating Student Mirror Maps In A University - An educational institution (also referred as a university) is structurally modeled using a university model graph. A key benefit of modeling of the educational institution is to help in an introspective analysis by the educational institute. The analysis of the various activities performed on the university campus by the various entities (such as students) of the university leads to the generation of student specific activity maps. These maps play a role in counseling students in organizing and planning of their activities in the context of the university. A system and method for automated generation of mirror maps involves the combined analysis of a set of activity maps of a set of students to measure their similarities. Such similarities help, for example, in the process of formation of teams, and identification of meeting times and venues. | 06-19-2014 |
20140188563 | CUSTOMER DEMOGRAPHIC DATA CHANGE DETECTION BASED ON MONITORED UTILITY CONSUMPTION - In general, the present disclosure describes techniques for detecting changes in demographic data of a customer based on energy consumption data of the customer. For example, a customer data management system receives energy consumption data of a customer and detects, based at least in part on the received energy consumption data of the customer, a change in demographic data associated with the customer. The customer data management system then outputs, based at least in part on the detecting, at least one demographic change report associated with the demographic data. | 07-03-2014 |
20140188564 | SYSTEMS AND METHODS FOR SEGMENTING BUSINESS CUSTOMERS - Systems and methods for providing market segmentation using a unique two-stage clustering system are provided. The system may also employ regional interpolation and estimation methods that account for local business environment. In certain additional configurations, a generic geo-firmographic model is enhanced with seller data such as data specific to a particular vertical market and/or data specific to a particular seller's business customers. | 07-03-2014 |
20140188565 | CUSTOMER DEMOGRAPHIC DATA CHANGE DETECTION BASED ON MONITORED UTILITY CONSUMPTION - In general, the present disclosure describes techniques for detecting changes in demographic data of a customer based on energy consumption data of the customer. For example, a customer data management system receives energy consumption data of a customer and detects, based at least in part on the received energy consumption data of the customer, a change in demographic data associated with the customer. The customer data management system then outputs, based at least in part on the detecting, at least one demographic change report associated with the demographic data. | 07-03-2014 |
20140195302 | GUIDED WALKTHROUGH PROVIDER - A system for providing a guided walkthrough of a retail store to a user. The system receives at least one criteria. The at least one criteria defines a customer segment. The customer segment corresponds to a set of customers of the store. The system also determines a representative path. The representative path is determined based upon paths previously taken through the store by the set of customers. The system also transmits instructions to guide the user along the representative path. | 07-10-2014 |
20140195303 | METHOD OF AUTOMATED GROUP IDENTIFICATION BASED ON SOCIAL AND BEHAVIORAL INFORMATION - A computerized system and method of providing targeting metrics is provided in which a computer performs the steps of: providing a plurality of assigned groups; receiving information sufficient to categorize a plurality of individuals into the plurality of assigned groups; and receiving demographic, social, interest and behavioral information regarding the plurality of individuals. The computer analyzes the demographic, social, interest and behavioral information about the individuals in each of the plurality of assigned groups, and for each assigned group, extracts from the demographic, social, interest, and behavioral information common traits and behaviors of the individuals in said each assigned group. For each group, the computer determines targeting metrics based on the common traits and behaviors identified for said each assigned group. | 07-10-2014 |
20140200960 | SYSTEM AND METHODS FOR OPTIMIZING RECRUITMENT - One embodiment of the present invention provides a system for recruiting individuals with a desired socio-demographic distribution. During operation, the system receives the desired socio-demographic distribution, obtains a seed sample comprising a plurality of participants, calculates a socio-demographic distribution associated with the seed sample, calculates an incentive provided to a user for recruiting an individual with a desired socio-demographic attribute, and presents the incentive to the user, thereby motivating the user to recruit the individual with the desired socio-demographic attribute. | 07-17-2014 |
20140207523 | SYSTEM, COMPUTER-IMPLEMENTED METHOD, AND NON-TRANSITORY, COMPUTER-READABLE MEDIUM TO DETERMINE RELATIVE MARKET VALUE OF A SALE GROUP OF LIVESTOCK BASED ON GENETIC MERIT AND OTHER NON-GENETIC FACTORS - Systems, computer-readable medium having computer program, and related computer implemented methods are provided to determine the relative market value of a sale group and to generate a genetic merit scorecard. Such systems, computer-readable medium having computer program, and related computer implemented methods utilize the genetic merit estimates of relatives of a sale group, along with associated economic weighting factors to determine the relative market value of the sale group. The genetic merit scorecard reflects the relative market value and ranking of the genetic merits of the sale group, as compared to the industry. | 07-24-2014 |
20140244359 | USING MEDIA INFORMATION FOR IMPROVING DIRECT MARKETING RESPONSE RATE - Embodiments of the invention relate to improving direct marketing response rate through use of media information. One embodiment includes extracting samples of language usage in one or more social media activities. Language usage features comprising relationships to products are derived by analyzing the extracted samples for relevant language terms. The language usage features are mapped to one or more of personality traits, emotional state and personal features. The mapped language usage features and personal features are stored in a repository. Customers are segmented for direct marketing using the mapped language usage features and the personal features. | 08-28-2014 |
20140244360 | CUSTOMER UNIVERSE EXPLORATION - The present disclosure extends to methods, systems, and computer program products for identifying attributes associated with potential customers. Attribute data contained in a potential customer database are transformed into bit sets or binary fingerprints. These bits sets or binary fingerprints are then clustered into clusters based on similarities between the bits sets, which correspond to similarities of the attributes. These clusters are represented graphically in a two- or three-dimensional map. The two- or three-dimensional map is analyzed to identify attributes associated with the potential customers. | 08-28-2014 |
20140244361 | SYSTEM AND METHOD OF PREDICTING PURCHASE BEHAVIORS FROM SOCIAL MEDIA - In an example embodiment, a first social media profile is retrieved. Express interests in the first social media profile are extracted, and social media categories corresponding to the express interests are identified. Demographic information is also extracted from the first social media profile. Then, the identified social media categories and demographic information are correlated with ecommerce categories of purchases. Using results from the correlating, a machine learning process is configured, the machine learning process accepting a second social media profile as input and returning a prediction of an ecommerce category as output. | 08-28-2014 |
20140278795 | SYSTEMS AND METHODS TO PREDICT PURCHASING BEHAVIOR - Example methods, systems, and computer readable storage media to predict purchasing behavior are disclosed. A disclosed example method includes creating a model based on first purchase data and demographic information. The first purchase data and demographic information is associated with panelists. The first purchase data is collected via both a home scanning system and via a frequent shopper system. The example method includes applying the model to consumer data to predict second purchase data. The consumer data corresponds to consumers participating in the frequent shopper system who are not panelists of the home scanning system. The example method includes creating a report based on the second purchase data. | 09-18-2014 |
20140278796 | Identifying Target Audience for a Product or Service - A method for selecting potential customers for a product/service using a computer server is provided. The computer server collects information consumption activity data, conversion data, and demographic data from panelists that have agreed to share their data with the computer server. For each panelist, the computer server identifies a set of product/service keywords from the information consumption activity data associated with the panelist. For each keyword, the computer server aggregates the demographic data of the panelists associated with the keyword using their conversion data and generates a set of demographic attributes in order to characterize potential customers of the product/service. Subsequently, in response to a request from a client device for characterizing potential customers of a product/service, the computer server identifies product/service keywords and then generates a demographic characterization for the product/service by aggregating the demographic attributes associated with the keywords. | 09-18-2014 |
20140278797 | ATTRIBUTE-BASED-CATEGORICAL-POPULARITY-ASSIGNMENT APPARATUS AND METHOD - A system is disclosed for determining the popularity of elements within categorized data according to a category to which they pertain based on the popularity of element attributes. The categorized data may be a list of products, where the elements may be products classified by product categories and the attributes may be brand names. Key words may be associated with such brands and/or their products. The key words may be words used when referring to the brands and/or their products with respect to their product category. These key words may be applied to additional data from an external source providing an on-line service, where service user-text is recorded in the additional data. Popularity scores may then be assigned to the products based on indications of references to the brands and/or their products, with respect to their product category, derived from the application of the key words to the additional data. | 09-18-2014 |
20140278798 | SYSTEM AND METHOD FOR ESTIMATING CUSTOMER LIFETIME VALUE WITH LIMITED HISTORICAL DATA AND RESOURCES - The present invention generally relates to estimating a customer's lifetime value to a company. The customer's lifetime value to the company can be based on remaining value of existing products and one or both of new purchase value and historic profitability. The remaining value and new purchase value for the customer may be estimated based on the customer's current customer segment and the customer's predicted future migration to a different customer segment. In addition, the remaining value may be estimated based on expected customer attrition, and the new purchase value may be estimated based on expected individual customer purchases. | 09-18-2014 |
20140278799 | AUTOMATED IDENTIFICATION OF MARKETING OPPORTUNITIES BASED ON STORED MARKETING DATA - A computer system for identifying one or more marketing opportunities for a target product, based on stored marketing data, comprises a processing unit programmed for defining a target product having one or more characteristics, defining at least one existing comparable product that matches one or more characteristics of the target product, reading social media data and sales data for the target and comparable products, calculating one or more marketing opportunities for the target product based on the data that was read, ranking the one or more marketing opportunities for the target product based on the stored marketing data, which comprises consumer behavior data, such that a ranking score is generated for each marketing opportunity, and displaying the one or more marketing opportunities and the corresponding rankings scores for each marketing opportunity. | 09-18-2014 |
20140289017 | Methods for Viewer Modeling and Bidding in an Online Advertising Campaign - Systems and methods are disclosed for employing supervised machine learning methods with activities and attributes of viewers with truth as input, to produce models that are utilized in determining probabilities that an unknown viewer belongs to one or more demographic segment categories. Using these models for processing viewer behavior, over a period of time a database of known categorized viewers is established, each categorized viewer having a probability of belonging to one or more segment categories. These probabilities are then used in bidding for online advertisements in response to impression opportunities offered in online media auctions. The probabilities are also used in predicting on-target impressions and GRPs (Gross Rating Points) in advance of online advertising media campaigns, and pricing those campaigns to advertiser/clients. Strategies are also disclosed for fulfilling a campaign when an available inventory of known categorized viewers is not adequate to fulfill a campaign in a required runtime. | 09-25-2014 |
20140289018 | SYSTEM AND METHOD OF DETERMINING USER DEMOGRAPHIC PROFILES - A method determines a user demographic profile of a user that visits one or more websites of a predetermined group of websites. The method includes generating a first record of visits by the user to the websites of the predetermined group of websites. The method further includes providing one or more website profiles comprising demographic characteristics of each website visited by the user of the predetermined group of websites. The method further includes calculating an estimated user demographic profile of the user by using the first record of visits by the user and the one or more website profiles. | 09-25-2014 |
20140297367 | SMART DESIGN SYSTEM PROVIDING MOBILE APPLICATION DESIGN AND SIMULATION FUNCTION, BUSINESS MODEL HAVING THE SAME, AND OPERATING METHOD OF SMART DESIGN SYSTEM - A smart design system provides a mobile application design and a simulation function, a business model including the smart design system, and a method of operating the smart design system. A method of operating a smart design system includes selecting at least one product of a plurality of products by searching a database storing information related to the plurality of products. The method includes designing an application that includes the selected at least one product. The designing may be used to produce the application. The method includes providing at least one recommended product of the plurality of products. The recommended product is applicable to the application. The method includes providing a market trend analysis. The market trend analysis is generated by searching for information related to a market trend of at least one of the plurality of products applicable to the application. | 10-02-2014 |
20140304037 | METHODS AND SYSTEMS FOR COLLECTING SEGMENTATION DATA - A system, method, and computer readable medium are provided to collect and process signal data used to segment a user population. For example, a segmentation client operating on a client machine may be initialized to collect signal data in a signal file maintained by a central repository of a segmentation server. The initialization of the segmentation client may be performed by sending an initialization file to the segmentation client. The initialization file may specify a signal data type of the signal data that is to be collected. Then, an update to the signal file may be received from the segmentation client. The update may include signal data matching the signal data type specified by the initialization file. The user is then grouped in a user segment based on the signal data. Content is then published to the user segment. | 10-09-2014 |
20140324543 | SYSTEMS AND METHODS FOR PROVIDING AN ONLINE VOTING SYSTEM - A system and method for gathering user vote opinion. The method according to one embodiment presents a form representing a vote to a user, the form comprising a topic and a plurality of choices. The method then receives a selection of one of the choices from the user and identifies a plurality of demographic details associated with the user in connection with the selection of one of the choices. The method further associates the selection and demographic details with the vote and stores the selection and demographic details within a selection database. Finally, the method updates aggregate selection data associated with the vote. | 10-30-2014 |
20140324544 | METHODS AND APPARATUS TO DETERMINE DEMOGRAPHIC DISTRIBUTIONS OF ONLINE USERS - Example methods and apparatus to determine demographic distributions of online users is disclosed. An example method includes obtaining first demographic information of first visitors to a first web site, obtaining second demographic information of second visitors to a second web site, the first and second visitors both comprising a same user, and determining a demographic distribution of the user based on the first and second demographic information. | 10-30-2014 |
20140324545 | METHODS AND APPARATUS TO DETERMINE RATINGS INFORMATION FOR ONLINE MEDIA PRESENTATIONS - Methods and apparatus to determine ratings information for online media presentations are disclosed. An example method includes receiving pingback messages corresponding to presentation of media at a client device, determining a portion of the media that was presented at the client device based on the pingback messages, obtaining demographic information associated with the client device, and determining a demographic characteristic associated with the presentation of the portion of the media based on the pingback messages and the demographic information. | 10-30-2014 |
20140337103 | DEMOGRAPHIC INFORMATION COLLECTION AND CONTENT DISPLAY BASED ON DEMOGRAPHIC INFORMATION - One aspect of the disclosure relates to a digital signage display system. In one embodiment, the digital signage display system includes: a camera configured to capture an image frame; a service processor in communication to the camera; and a digital signage display. The service processor includes a processor and a non-volatile memory storing a firmware. The firmware is configured, when executed at the processor, to process the captured image frame, detect persons in the image frame, generate a demographic-map data structure, and send the demographic-map data structure to a server system. The demographic-map data structure contains demographic information of the persons detected in the image frame. The digital signage display is configured to receive a display content provided by the server system in response to the demographic-map data structure. | 11-13-2014 |
20140337104 | METHODS AND APPARATUS TO DETERMINE IMPRESSIONS USING DISTRIBUTED DEMOGRAPHIC INFORMATION - Methods and apparatus to determine impressions using distributed demographic information are disclosed. An example method includes obtaining media impression information from a client device for a media impression, obtaining demographic information corresponding to the client device from at least three database proprietors, and determining a demographic characteristic associated with the media impression based on the demographic information obtained from the at least three database proprietors. | 11-13-2014 |
20140351018 | SYSTEM AND METHOD FOR BENCHMARKING ENERGY USAGE - A system and method is disclosed for benchmarking and comparing energy consumption of a particular consumer to a relevant set of comparison consumers using a system that maintains a database of payment information. Using the payment information and publicly available information, the system identifies comparison consumers, dwelling addresses, calculates energy consumption and generates consumer profiles containing dwelling, location and demographic characteristics. The system also compares profiles to identify “look-a-like” consumers and analyzes energy consumption to determine a benchmark and compares a particular consumer's consumption to the benchmark. The system also generates reports detailing the comparison and provides the report to consumers. The system thereby accurately measures on a national scale whether a particular consumer's monthly energy consumption and payments are above/below/on-target with very specific look-a-like consumers and provides a solution for consumers/business to understand the accuracy of their invoice and if their structure has outsized consumption. | 11-27-2014 |
20140358638 | DYNAMIC INTELLIGENT LEAD IDENTIFIER - Data in one or more data repositories managed by a business software framework used by a sales organization can be used in creating a set of profiles corresponding to customers of the sales organization. The profiles can reflect a set of customer characteristic parameters extracted from the data relevant to the customer. The customers can be grouped into families based on common values of the customer characteristic parameters in the customer profiles. Sales interaction data relating to a sales interaction of a customer and the customer profile of the first customer can be applied against the families of profiles to identify one or more commonalities between the sales interaction data, the customer profile, and the customer profiles of one or more other customers. A new lead can be generated for a second customer based on the one or more commonalities. | 12-04-2014 |
20140358639 | CUSTOMER CATEGORY ANALYSIS DEVICE, CUSTOMER CATEGORY ANALYSIS SYSTEM AND CUSTOMER CATEGORY ANALYSIS METHOD - A customer category analysis device includes: a customer category identification unit that identifies a customer category of each person appearing in an imaging region defined such that an image of each customer moving from a waiting area of the commercial establishment toward a seating area is captured from a front of the customer and obtains customer category information indicating a result of customer category identification; and a filtering unit that, based on a mode of behavior of each person appearing in the imaging region, determines whether the person is to be included in the analysis according to a predetermined criteria for limiting persons to be included in the analysis to customers who exhibit a behavior of moving toward the seating area, and excludes the person from the analysis if the person is determined not to be included in the analysis. | 12-04-2014 |
20140372178 | CORRELATING PRODUCT SALES TO STORE SEGMENTATION - Past sales data for a product sold at stores in a chain of retail stores is received by a computing device. For each segment, the stores in the chain are grouped into one or more clusters. The average sales of the product in each cluster and the average sales of the product in all of the stores are calculated based on the past sales data. A cluster variation and a total variation may be determined for each of the stores based on the past sales data. A correlation indicative of an effectiveness of the segmentation strategy to reduce sales variation between stores in each of the plurality of clusters may also be determined based on the at least cluster variation. | 12-18-2014 |
20140372179 | REAL-TIME SOCIAL ANALYSIS FOR MULTIMEDIA CONTENT SERVICE - The disclosure is related to a real-time analysis of social network service (SNS) data associated with a multimedia content service. Particularly, SNS users may be classified into active SNS users and non-active SNS users, based on an SNS activity amount. SNS data collection/analysis periods may be differently determined according to SNS user types. Furthermore, a statistical analysis result of the SNS data may be directly or indirectly provided to one or more user equipment such that the SNS data analysis result can be displayed along with a corresponding multimedia content. | 12-18-2014 |
20140379429 | DYNAMIC SEGMENTATION OF WEBSITE VISITS - Dynamic segmentation of website visits. In one example embodiment, a method of dynamic segmentation of website visits includes tracking real-time behavior of a visitor on a website during a visit to the website, assigning the visit to one of multiple segments based on the tracked real-time behavior, and personalizing the website during the visit based on the assigned segment. | 12-25-2014 |
20150012336 | ASSESSING IMPACT OF COMMUNICATIONS BETWEEN SOCIAL NETWORKING SYSTEM USERS ON A BRAND - A social networking system identifies communications about an object associated with a brand owner. For each communication, the social networking system identifies users who were generated the communication, users who were exposed to the communication, and users who were not exposed to the communication. The social networking system measures the impact of the communications on the behavior and/or sentiment of the users towards the brand owner. For example, the social networking system presents users with surveys after presentation of a communication about an object associated with a brand owner and determines the impact of the communication from the responses to the survey. The impact of the communications may then be reported to the brand owner. | 01-08-2015 |
20150039394 | GOLF SCORING, MARKETING, AND REPORTING SYSTEM AND METHOD OF OPERATION - A system and method automatically report electronically recorded golf scores and other information to a golfer during or upon completion of a round of golf. A golfer operates a mobile terminal during play of a round of golf. The mobile terminal displays at least an electronic score card on its display. The mobile terminal may optionally display other information, such as advertisements, that may be of interest to the golfer. During play, the mobile terminal receives inputs from the golfer to record the golfer's scores. Other inputs may include selection of a displayed advertisement or purchase of a displayed product or service. Once the scores have been entered, the mobile terminal wirelessly transmits the scores and/or other information to a central server via a wireless subsystem. The scores and/or other information are then automatically communicated from the server to an email account and/or personal web portal account of the golfer. | 02-05-2015 |
20150058086 | DETERMINING COST TO SERVE FOR A CONSUMER PACKAGED GOODS COMPANY - The present subject matter discloses system(s) and computer-implemented method(s) for determining total cost to serve (CTS) a product to a customer of a consumer packaged goods (CPG) company. The computer-implemented method includes identifying a total cost associated with the product and incurred by the CPG company in each of a plurality of organizational functions of the CPG company; allocating cost attributable to the customer for the one or more activities under each of the plurality of organizational functions; computing a CTS value for each of the plurality of organizational functions based on the allocated cost attributable to the customer; and determining the total CTS of the product served to the customer. The total cost is retrieved from a database. The allocation is based on predefined allocation criteria and the determination includes summing up the CTS values for each of the plurality of organizational functions. | 02-26-2015 |
20150073871 | PROVIDING TREND DATA FOR PRODUCT CONTENT - Systems and methods for providing display data indicative of trend data include providing, at a server, a set of queries for product content, wherein the product content comprises attributes of a product; receiving, at the server, a request to sort results from the set of queries based on the attribute and on a time period; generating a value based on the sorted query results and the time period; aggregating each value for each time period with values from other results from other queries within the time period; storing the aggregated value in a database; retrieving the stored value to determine trend data relating to the product content; and providing display data indicative of the trend data. | 03-12-2015 |
20150081387 | METHOD AND SYSTEM FOR IDENTIFYING INFLUENCERS FROM PAYMENT DATA - A method for identifying a trendsetting consumer includes: storing transaction entries, each entry including a consumer identifier, transaction date, and transaction characteristics each having a characteristic value; receiving two trend identifiers, each trend identifier including a trend date and transaction characteristic value and is associated with a specific trend; identifying a trending consumer where a first transaction entry includes a transaction date corresponding to the trend date and a transaction characteristics having a characteristic value corresponding to the transaction characteristic value of one of the two identified trends, a second transaction entry includes a transaction date corresponding to the trend date and a transaction characteristics having a characteristic value corresponding to the transaction characteristic value of another one of the two identified trends, and the first and second transaction entries include a common consumer identifier associated with the trending consumer; and associating the trending consumer with the specific trends. | 03-19-2015 |
20150081388 | CUSTOMER SELECTION FOR SERVICE OFFERINGS - An aspect of customer selection processes includes classifying, by a computer processor, customers of an entity into groups based on commonly shared, predefined characteristics among the customers. For each of the groups: services rendered for corresponding customers are identified; for each of the services rendered, a risk relationship and a reward relationship between each of the corresponding customers and the service is determined; and for each of the services rendered, a score that defines a combination of the risk relationship and the reward relationship is calculated. For each of the services rendered by the entity, the corresponding score is applied to a candidate customer having a set of characteristics matching the characteristics of one of the groups, and the service is offered to the candidate customer as a function of the score. | 03-19-2015 |
20150081389 | METHOD AND SYSTEM THAT IDENTIFY MARKET SEGMENTS AND THAT FACILITATE TARGETED INFORMATION DISTRIBUTION - The current document is directed to automated market-segment-discovery methods and systems that may be incorporated within, or used in combination with, various types of analysis and optimization automated systems for automated discovery of market segments for subsequent use in targeted marketing and information distribution. In one implementation, a log of visitor records collected by an analysis and/or optimization system is processed to generate a segment-discovery tree. Construction of the segment-discovery tree produces a set of candidate market-segment-defining rules. Various different techniques and metrics can be applied to produce a set of market-segment-defining rules from these candidate rules. The market-segment-defining rules can then be exported to marketing systems or subsystems to facilitate targeted marketing and information distribution. | 03-19-2015 |
20150120391 | ENHANCED WEIGHING AND ATTRIBUTES FOR MARKETING REPORTS - A computing device may generate target area breakdowns of demographic information for a plurality of geographic areas based on identified key demographic variables of subscribers of a subscriber network, determine subscriber demographic breakdowns for each of the target area breakdowns based at least in part on subscriber base information descriptive of subscribers of the subscriber network, and perform rim weighting of the subscriber demographic breakdowns to generate rim weights for each subscriber according to the respective target area breakdowns. The device may further generate index scores according to weighted subscriber information indicative of relative likelihood of a subscriber being associated with an attribute as compared to the population of the associated geographic area, identify business rules including criteria for association of a subscriber with an advanced attribute, the criteria including a minimum index score for an attribute; and assign the advanced attribute to the subscriber based on subscriber index score. | 04-30-2015 |
20150134416 | INITIAL MARKETING CAMPAIGN TARGETS - A method and system for determining marketing targets is provided. The method includes a customer list comprising a population of potential customers for a product or service. The potential customers are divided into groups of social communities and specified effort criteria associated with the groups of social communities with respect to the product or service are determined. Each specified effort criteria is associated with an associated group of the groups of social communities with respect to the product or service. Specified customers from each group are selected based on each specified effort criteria. | 05-14-2015 |
20150134417 | METHODS, SYSTEMS, AND APPARATUS FOR DYNAMIC CONSUMER SEGMENTATION - Methods, systems, and apparatus for segmenting consumers into groups are described. Tracking information on a selected consumer and a rule comprising criteria for each of one or more groups of consumers may be obtained. The selected consumer may be assigned to each of the one or more groups based on the tracking information satisfying the corresponding rule criteria. | 05-14-2015 |
20150142521 | CUSTOMER CLUSTERING USING INTEGER PROGRAMMING - Methods and apparatus are disclosed regarding an e-commerce system that clusters customers based on demographic data and purchase history data for the customers. In some embodiments, the e-commerce system solves an Integer Program that accounts for the demographic data and purchase history data in order to identify a hyperplane that splits a selected cluster of customers. | 05-21-2015 |
20150142522 | GAMING INFORMATION PROVIDING DEVICE, GAMING INFORMATION PROVIDING SYSTEM, GAMING INFORMATION PROVIDING METHOD, PROGRAM, AND RECORDING MEDIUM - A gaming information providing device has an information acquisition unit that acquires gaming machine information, customer identification information, and preference information from a plurality of gaining machines, a storage device, and a provided information producing unit. In each of the game machines, a game medium is paid in or paid out from in a game, wherein the gaming machine information includes paying-out information indicating a paying-out status of the game medium in each of the gaming machines. The customer identification information identifies a plurality of customers who play the game with the plurality of gaming machines. The preference information indicates a preference for the game of the gaming machine in each customer. | 05-21-2015 |
20150149251 | METHOD AND SYSTEM FOR INTEGRATING PHONE NUMBERS WITH TRANSACTION DATA - A method for linking phone data to transaction history includes: storing, in a database, a plurality of consumer profiles, wherein each consumer profile includes data related to a consumer including at least a plurality of consumer characteristics and plurality of transaction data entries, each transaction data entry corresponding to a payment transaction involving the related consumer; receiving, by a receiving device, a phone profile, wherein the phone profile includes at least a phone number associated with a specific consumer and a plurality of demographic characteristics associated with the specific consumer; identifying, by a processing device, at least one consumer profile of the plurality of consumer profiles where at least a predefined number of the included plurality of consumer characteristics correspond to the plurality of demographic characteristics; and associating, in the database, each of the identified at least one consumer profile with the phone number included in the received phone profile. | 05-28-2015 |
20150149252 | Psychographic Analysis and Classification System - A method for psychographically classifying a respondent based upon the respondents' health values. The method includes receiving a respondent's answers to a series of queries relating to health and analyzing the answers to determine a psychographic characteristic of the respondent. The method further includes providing information to the respondent based upon the results of the analyzing step. | 05-28-2015 |
20150149253 | METHOD AND SYSTEM FOR INTEGRATING DEVICE DATA WITH TRANSACTION DATA - A method for linking device data to transaction history includes: storing a plurality of consumer profiles, wherein each consumer profile includes data related to a consumer including at least a plurality of consumer characteristics and a plurality of transaction data entries, each transaction data entry corresponding to a payment transaction involving the related consumer; receiving, by a receiving device, a device profile, wherein the device profile includes device data corresponding to a consumer device and a plurality of demographic characteristics associated with a consumer associated with the corresponding consumer device; identifying, by a processing device, at least one consumer profile of the plurality of consumer profiles where at least a predefined number of the included plurality of consumer characteristics correspond to the plurality of demographic characteristics; and associating each of the identified at least one consumer profile with the device data included in the received device profile. | 05-28-2015 |
20150302437 | System and Method for Strategizing Interactions With A Client Base - The present disclosure describes novel systems and methods that can be utilized to evaluate and/or direct an interaction with a consumer database and/or evaluate a consumer database, where the consumer database contains information about consumers and particular products and/or services held or used by the consumers. The interactions may be, for example, determining a strategy for sales, marketing, cross-selling, and/or retaining one or more of the consumers. The evaluations may include, for example, hierarchically ranking the consumers and/or determining a clustering of the consumers. | 10-22-2015 |
20150310463 | SOLAR CUSTOMER ACQUISITION AND SOLAR LEAD QUALIFICATION - According to various aspects of the subject technology, systems and methods for qualifying solar leads are described. In certain implementations, data about utility customers and/or other information are used to identify high-quality solar leads, thus reducing the amount of extraneous work for installers and resulting in an overall reduction of the total cost of solar implementations. | 10-29-2015 |
20150310464 | Generating and Displaying Customer Commitment Framework Data - Systems and methods for generating and displaying customer commitment framework data. Exemplary methods for determining the shareability of online content may include obtaining, via a digital intelligence system, customer experience data regarding any of a product, a brand, and customer responses for a first entity, as well as periodically calculating, via the digital intelligence system, customer commitment framework data from the customer experience data, and generating a customer commitment dashboard that comprises a graphical representation of the customer commitment framework data. | 10-29-2015 |
20150317651 | PLATFORM FOR CONTEXTUAL MARKETING BASED ON TRANSACTIONAL BEHAVIORAL DATA - Subject innovations are directed towards a platform architecture, system, and special purpose software and hardware that employs a machine learning approach using transactional behavioral events and data about customers to allow a telecommunications marketer to express a set of configurable business rules and constraints, and within a dynamic optimization approach, derive solutions or marketing approaches to optimize delayed key performance indicators. In one embodiment, this is obtained using marketing experiments that seek to learn and influence long term behaviors of customers. | 11-05-2015 |
20150317652 | Sales Management System - A method includes receiving a set of customer records and identifying any duplicate customers within the set of customer records. The method includes consolidating customer records of any duplicate customers, and identifying whether any customers represented within the received set of customer records have an existing customer record in data store hardware. The method includes receiving a segmentation criteria defined as an active customer, an inactive customer, or a prospective customer, and segmenting the customers in the data store hardware based on the segmentation criteria. The method includes assigning an active status to active customers. The active status being active defecting (customer having no associated purchase history) or active declining (customer having a threshold decrease in sales over a third period of time). The method also includes associating customer metrics with the customers, and generating a report illustrating the customer segmentation and customer metrics. | 11-05-2015 |
20150324819 | METHOD FOR PROVIDING PERSONALIZED ENERGY USE INFORMATION - Techniques for providing personalized energy use information are described herein. An energy information system can obtain one or more of demographic, psychographic, behavioral, or consumption data for each of a plurality of utility customers, and segment the plurality of utility customers into a plurality of categories based on the demographic, psychographic, behavioral, or consumption data. The energy information system can select a target category from the plurality of categories based on a predetermined achievement goal and generate communications content based on historic energy consumption data for the target category. The energy information system can select an outbound communication channel for communicating with the target category. The energy information system can deliver one or more communications to the target category through the outbound communication channel at a specified time, where the one or more communications include at least a portion of the communications content. | 11-12-2015 |
20150324820 | INFERRING USER DEMOGRAPHIC INFORMATION FROM RATINGS - Existing recommendation systems leverage user social and demographic information, e.g., age, gender and political affiliation, to personalize content and make recommendations. However, users do not volunteer this information due to privacy concerns or to the lack of initiative in filling out their profile information. The current methods and apparatus provide principles in which the system may learn the private attribute for those users who do not voluntarily disclose them. In an exemplary embodiment, the system receives ratings for items, such as movies, for example, that may be used by a recommendation system. The inventive arrangements are based on novel usage of Bayesian matrix factorization in an active learning setting. Such a system can be carried out using significantly fewer rated items than previously proposed static inference methods. The system functions effectively without sacrificing the quality of the regular recommendations made to the user. | 11-12-2015 |
20150324821 | Multicultural Survey Response System - The present invention includes a system and method for generating survey results, comprising: designing a survey in one or more languages that is offered to one or more survey participants in a format selected from at least one of hard copy, verbal, or online in the language of the survey participant; receiving, by a computer, a survey content from each of the survey participant, wherein each survey participant has a unique identification code for each survey; determining, by the computer, whether the survey content obtained from the survey participant regardless of the format in which the survey content is received, has already been obtained and if the survey content has been obtained rejecting the later entry as a duplicate; and generating, by the computer, a summary of the survey results obtained from the survey content. | 11-12-2015 |
20150332296 | PREDICTING CUSTOMER VALUE - In one example, a method includes determining, based on historical purchase data for a customer, an expectancy value that indicates when the customer is expected to make a purchase from a business, determining, based on the historical purchase data for the customer, a frequency value that indicates at what frequency the customer is expected to make purchases from the business during a future time period, and determining, based on the historical purchase data for the customer, a monetary value that indicates how much the customer is expected to spend during the future time period. In this example, the method includes determining, based on the expectancy value, the frequency value, and the monetary value, a future customer value score that indicates how valuable the customer is likely to be in the future time period. | 11-19-2015 |
20150332297 | METHODS AND APPARATUS TO ANALYZE AND ADJUST DEMOGRAPHIC INFORMATION - An example method to adjust demographic data involves generating a first model based on reference demographic data corresponding to panelists and based on first self-reported demographic data and behavioral data from a database proprietor. The first self-reported demographic data and the behavioral data correspond to ones of the panelists having user accounts with the database proprietor. The first self-reported demographic data is provided to the database proprietor by the ones of the panelists having the user accounts with the database proprietor. The first model is used to partition the first self-reported demographic data into nodes, each node representing a respective subset of the first self-reported demographic data. At least some of the first self-reported demographic data is redistributed between at least some of the nodes to generate a second model that is to facilitate correcting at least one of inaccuracies or misrepresentations in the second self-reported demographic data. | 11-19-2015 |
20150339687 | PROPOSING OBJECTS TO A USER TO EFFICIENTLY DISCOVER DEMOGRAPHICS FROM ITEM RATINGS - The current methods and apparatus provide a system that learns a private attribute, such as gender, based on at least one iteration of presenting an item to a user and receiving ratings from the user for this item. In an exemplary embodiment, the system may solicit ratings for strategically selected items, such as movies for example, and then infers the user's gender. Based on the assessed confidence in the demographic selected, the system may repeat the selection, presentation and ratings of another item. The proposed system can strategically select the sequence of items that are presented to the user for a rating. By selecting the next item to be rated based on a maximum posterior probability confidence, a demographic with a certain threshold of confidence can be inferred. The inventive arrangements are based on novel usage of Bayesian matrix factorization in an active learning setting. Such a system is shown to be feasible and can be carried out using significantly fewer rated items than previously proposed static inference methods. | 11-26-2015 |
20150339688 | SELECTIVE VIRAL DISPLAY SOCIAL MARKETING AND SALES SYSTEM - The electronic sales and marketing system of the preferred embodiments includes an algorithm stored on computer-readable medium and carried out by one or more networked computer devices, wherein the algorithm includes showing a post containing one or more of A) one or more products for sale, B) one or more services for sale, and C) one or more items for sale to a user; accessing information stored in computer-readable medium related to one or more additional user, if the first user one or more of: | 11-26-2015 |
20150348072 | METHOD AND SYSTEM FOR SELECTING A TARGET AUDIENCE - A method and a system are provided for selecting an audience of potential acceptors for receiving a targeted communication and for making a targeted communication to an audience of potential acceptors. The method involves retrieving, from one or more databases, a first set of information including checking account activities and characteristics attributable to an audience of checking account customers. At least a portion of the audience of checking account customers are identifiably associated with an audience of payment card holders. The method also involves retrieving, from one or more databases, a second set of information including payment card activities and characteristics attributable to the audience of payment card holders. Payment card holders meeting selection criteria are identified based on the first set of information and the second set of information. Payment card holders meeting the selection criteria are selected for receiving a targeted communication (e.g., a payment card upgrade). | 12-03-2015 |
20150348073 | Predictive Tool for Defining Target Group - Embodiments relate to methods and apparatuses creating and analyzing target groups, for example as relied upon in conducting marketing campaigns. Certain embodiments allow predictive definition of a target group based upon an underlying complex mathematical model, which may reference large data volumes regarding individual targets in an underlying database. An interface affords simplified visualizations of the target group, for example circles of varying diameter representing target group size. Adjustable graphic elements (e.g., sliders) in dashboard views may allow predictive definition of the target group based upon inputs such as marketing cost, target group size, and/or expected revenue, etc. Once defined and stored, target groups may be explored in an interactive manner through application of filter criteria, thereby promoting familiarity with target group characteristics. Embodiments allow users who are not modeling experts, to nevertheless interact efficiently with large data volumes in order to intuitively define and/or explore a target group. | 12-03-2015 |
20150348074 | METHOD FOR PERFORMING REVERSE MAPPING POSITIONING ANALYSIS - A method for performing a reverse mapping analysis is provided. The method includes storing at least one of perceptual data and preference data. The method includes generating a visual representation of at least one of a perceptual map and a preference map. The method includes receiving, from a user, at least one of a relocated first position of one of the plurality of targets on the visual representation, a second position of a new target on the visual representation, and a change of a set of attribute levels of one of the plurality of targets. The method includes calculating and providing, corresponding to the receiving step, at least one of a first set of attribute levels for the first position, a second set of attribute levels for the second position, and a third position on the visual representation for the change of set of attribute levels. | 12-03-2015 |
20150356581 | SYSTEM AND METHOD FOR DEMOGRAPHIC PROFILING OF MOBILE TERMINAL USERS BASED ON NETWORK-CENTRIC ESTIMATION OF INSTALLED MOBILE APPLICATIONS AND THEIR USAGE PATTERNS - Methods and systems for creating demographic profiles of mobile communication network users. A demographic classification system analyzes network traffic, so as to estimate the specific combination of application classes installed on a given terminal, and usage patterns of the applications over time. This combination of application classes and their respective usage patterns are a highly personalized choice made by the user, and is therefore used by the system to deduce the user's demographic profile. The demographic classification system operates on monitored network traffic, as opposed to obtaining explicit and accurate information regarding the installed applications from the terminal. The system then deduces the demographic profile of the user from the list of estimated application classes. | 12-10-2015 |
20150363803 | BUSINESS INTRODUCTION INTERFACE - Methods for searching within one's social network for business leads and the presentation and facilitation of introduction requests associated therewith are provided. In particular, a user may log into a website to search their social network based on introduction parameters. In response, a set of introducers who can connect the user to individuals matching the introduction parameters are provided and stored. Subsequently, an indication is presented to each introducer such that each introducer is made aware that the user is requesting an introduction to someone within the respective introducer's network. Upon viewing the indication, the introducer may select an individual matching the introduction parameters and transmit to that individual an introduction request. | 12-17-2015 |
20150371240 | COMMERCIAL CARD PORTFOLIO OPTIMIZATION - A method of targeting commercial entities for transaction-card usage revenue enhancement. The method includes functionally combining electronically searchable data sources concerning actual or potential commercial transaction-card using entities. The electronically searchable data sources include data concerning the commercial transaction card-using entities, relating to its relationship with a transaction-card issuer, firmographic data, and transaction record data concerning transaction card usage by commercial transaction card-using entities. The first plurality of electronically searchable data sources is electronically searched to identify one or more model-performance actual or potential commercial transaction-card using entities. A set of key metric categories is identified among the electronically searchable data sources, in which the model-performance card-using entities exceed their peers. A list derived from the actual or potential commercial transaction-card using entities is prepared, including of those actual or potential commercial transaction-card using entities whose measurements in one or more key metric categories exceed their peers. Also disclosed are a system for carrying out such a method, and a medium storing a program of instructions for carrying out such a method. | 12-24-2015 |
20150379534 | Contact Engagement Analysis for Target Group Definition - Processing power of a database may be leveraged to perform contact engagement analysis efficiently defining target groups. A person-centric data model allows rapid segmentation based upon details of individual contacts, and the nature of their interactions. The data model may recognize multiple facets of a single individual, for example different identifiers for various personal networks (e.g., social media networks, enterprise directories, etc.). Contact engagement analysis may use techniques such as contact classification, filtering, date period selection, and/or tag cloud based topic classification visualization, in order to achieve target group definition. A data model and UI may provide selection tools filtering data of mixed quality, allowing fast overview, and providing selection possibilities of contact groups having different data quality classifications. A tag cloud (e.g., including a time slider) shows topics of interest derived from contact interactions, thus providing visual indications. Thus, multiple contacts sharing common characteristics may be identified. | 12-31-2015 |
20150379535 | DETERMINING A FUNCTION OF AN ENTITY - Methods, systems and computer program products for identifying a work function of a company at a location and for identifying a work function of a group of workers are described. Members having member profiles that indicate employment at a company and at a location are segmented into one or more groups based on one or more job skills. One or more of the groups are analyzed to determine a work function of the location. The location of the company is identified based on the determined work function. | 12-31-2015 |
20160005059 | COMPARABLE MARKET-SEGMENT VALUATION SYSTEM - Systems, apparatus, and computer program products are provided for dynamically accessing performance metrics associated with an identified market or market-segment. In addition, embodiments of the invention provide for presentation of the performance metrics in a readily comprehendible graphical format that facilitates understanding by the user and provides a useful starting point for investment discussion between collaborating entities. The aspects of the invention rely on the most current data in assessing current performance of the market-segment participants, as well, as historical data so that market trend analysis can easily presented to the user. | 01-07-2016 |
20160013991 | ANALYTICS-DRIVEN POLICY CONTROL IN COMPUTER NETWORKS | 01-14-2016 |
20160042372 | DATA CLUSTERING AND USER MODELING FOR NEXT-BEST-ACTION DECISIONS - Embodiments herein provide data clustering and user modeling for next-best-action decisions. Specifically, a modeling tool is configured to: receive indicators within unstructured social data from a plurality of users; analyze the unstructured social data of each of the plurality of users to assign a set of feature vectors to each of the plurality of users, each feature vector corresponding to one or more personality characteristics of each of the plurality of users; and analyze the feature vectors to identify two or more users from the plurality of users sharing a set of similar feature vectors. The modeling tool is further configured to: group the two or more users from the plurality of users sharing the set of similar feature vectors to form a cluster; identify attributes of the cluster; and input the attributes of the cluster into a predictive model to determine an offer corresponding to the cluster. | 02-11-2016 |
20160042373 | SYSTEMS AND METHODS FOR IDENTIFYING AND ANALYZING INTERNET USERS - This disclosure describes systems, methods, and apparatus for generating reports enhancing an understanding of Internet users based on their generated content and actions taken by others in response to the generated content. | 02-11-2016 |
20160048848 | MOBILE APPLICATION ANALYTICS FRAMEWORK - Approaches are provided for collecting and distributing topical data. An approach includes collecting topical data from one or more mobile applications on a mobile device. The topical data describes areas of interest of a user based on a way in which the one or more mobile applications are used by the user. The approach further includes normalizing the collected topical data into a list of topics of interest for the user. The approach further includes tagging each topic of interest with a non-hierarchical keyword or term. The approach further includes sending the list of tagged topics of interest to one or more remote servers. | 02-18-2016 |
20160048856 | DIGITAL RECEIPTS ECONOMY - Techniques to extract data from computer-readable purchase records of a user, cluster the items of interest based on descriptions of the items, and associate descriptive keywords to the clusters, where the keywords represent interests of the user. One or more processes and/or functions may be performed on extracted data, including cluster-specific processes and/or function, including user-based, user interest-based, and/or crowd-based processes and/or function, which may include shopping pattern extraction, item or types of items availability based on time, location and other contextual metric, pricing data of items and expected pricing changes over time and seasonal variations, identification of user preferences, and/or shopping recommendations. | 02-18-2016 |
20160048900 | SYSTEMS AND METHODS FOR FACILITATING DISCOVERY AND MANAGEMENT OF BUSINESS INFORMATION - Systems, methods, and computer-readable media are provided to assist a user to identify one or more businesses of interest. Individual selections of businesses by end users to retain information corresponding to the businesses may be facilitated. Collections of business information may be retained in a repository. Each end user may be classified into a set of categories based on attributes. A first end user may be matched to a first category. A first set of collection information associated with a first set of end users that correspond to the first category and the first location may be identified. A recommendation for the first end user may be determined based on the first set of collection information, the first category, and the first location. | 02-18-2016 |
20160055499 | SYSTEM ARCHITECTURE FOR CUSTOMER GENOME CONSTRUCTION AND ANALYSIS - A computer system constructs a robust recipient profile. The system receives data associated with recipient digital interactions from, e.g., streaming and/or batch sources. The recipient data may include digital transactional data, social media data, or other recipient-specific information. The system may employ heuristic data ingestion processing to derive further data based on the data inputs and attributization, and thereby may develop a robust recipient profile by aggregating the processed and derived data. The system may implement production rules to determine recipient-specific custom metadata based on the robust recipient profile to transmit to the recipient. | 02-25-2016 |
20160055500 | SYSTEMS AND METHODS FOR DIGITAL SPEND BASED TARGETING AND MEASUREMENT - The present disclosure includes a system, method, and article of manufacture for spend based targeting. In various embodiments, the system may transmit, to a third party system, a spend data file associating a first party cookie ID with spend data, as well as a first party cookie ID and/or a third party cookie ID to a web client. The web client may transmit the first party cookie ID and/or the third party cookie ID to the third party system, and the third party system may generate a look alike model for targeting advertisements to the web client based on the spend data file and clickstream data associated with the web client. In various embodiments, the third party system may match the third party cookie ID with the first party cookie ID in the spend data file, which may associate a customer with a segment. | 02-25-2016 |
20160071133 | AUTOMATIC DETERMINATION OF ACCOUNT OWNERS TO BE ENCOURAGED TO UTILIZE POINT OF SALE TRANSACTIONS - According to some embodiments, account owner information associated with account owners of payment accounts (e.g., credit card accounts) may be retrieved from an account owner database. The retrieved account owner information may be analyzed to automatically identify a set of account owners primarily associated with automated teller machine device transactions in connection with the payment accounts. From the set of account owners primarily associated with automated teller machine device transactions, a sub-set of account owners to be encouraged to utilize point of sale transactions in connection with the payment accounts may be automatically created. Moreover, a potential transaction spend value associated with the sub-set of account owners may be calculated and output. | 03-10-2016 |
20160071134 | SYSTEM AND METHOD FOR FULL FUNNEL MODELING FOR SALES LEAD PRIORITIZATION - A system and method for full funnel modeling for sales lead prioritization are disclosed. A particular embodiment includes two models, DQM (direct qualification model) and FFM (full funnel model), which can be used to rank sales leads based on probability of conversion to a sales opportunity, probability of successful sale, or expected revenue. These models can replace traditional, manually created lead scoring systems, which use hand-tuned scores and are therefore error-prone and non-probabilistic. The disclosed methods achieve high AUC (Area Under Curve) scores in our experiments, and we show that they can result in a substantial increase in conversion rate, a substantial increase in successful sale rate, as well as dramatic increases in total revenue. Unlike traditional lead-scoring, our methods provide an intuitive probabilistic score, and focus more on features that measure customer fit than customer behavior, meaning quality leads can be found earlier on in the sales process. | 03-10-2016 |
20160078459 | METHODS AND APPARATUS TO MONITOR MEDIA PRESENTATIONS - Methods, apparatus, systems and articles of manufacture to monitor media presentations are disclosed. An example method includes collecting demographic information from a user, transmitting the demographic information to a central facility, generating a panelist identifier identifying the user, and hosting a web server to serve the panelist identifier to media that is instrumented with monitoring instructions executing on the media device, the monitoring instructions, when executed, to collect monitoring information and transmit the monitoring information along with the panelist identifier to the central facility. | 03-17-2016 |
20160078460 | METHOD AND APPARATUS FOR TARGETING BEST CUSTOMERS BASED ON SPEND CAPACITY - Share of Wallet (“SOW”) is a modeling approach that utilizes various data sources to provide outputs that describe a consumers spending capability, tradeline history including balance transfers, and balance information. These outputs can be appended to data profiles of customers and prospects and can be utilized to support decisions involving prospecting, new applicant evaluation, and customer management across the lifecycle. A SOW score focusing on a consumer's spending capability can be used in the same manner as a credit bureau score. | 03-17-2016 |
20160086207 | INFORMATION PROCESSING APPARATUS, TERMINAL DEVICE, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY COMPUTER READABLE STORAGE MEDIUM - An information processing apparatus according to an embodiment includes an acquiring unit, a determining unit, and a distribution unit. The acquiring unit acquires information on applications installed in a terminal device. The determining unit determines a user class of a user who owns the terminal device based on the information on the applications acquired by the acquiring unit and based on a user class stored in a storage unit in association with a predetermined application combination. The distribution unit distributes an advertising content to the terminal device in accordance with the determined user class of the user who owns the terminal device. | 03-24-2016 |
20160086208 | SYSTEMS, METHODS, AND ARTICLES OF MANUFACTURE TO MEASURE ONLINE AUDIENCES - Methods and apparatus to monitor media content at a content display site are described. An example method includes assigning a first set of weights to each of a plurality of panelists based on a set of collected characteristics for each person of a subset of unmeasured persons at unmeasured locations, the subset of unmeasured persons being the unmeasured person for which the collected characteristics are known, selecting a subset of the panelists based on the first set of weights, each panelist of the subset of panelists selected to be representative of an unmeasured person of the unmeasured persons, re-weighting the subset of the panelists based on estimated characteristics of the unmeasured persons at the unmeasured locations to generate a second set of weights, generating a virtual panel including measurement data collected for the subset of the panelists as virtual panelists, the measurement data of the virtual panel representing the media consumption activity of the unmeasured persons at the unmeasured locations, and scaling the measurement data of the virtual panel collected from the subset of the panelists to estimate media consumption at the unmeasured locations. | 03-24-2016 |
20160092895 | METHOD AND SYSTEM FOR IDENTIFYING MERCHANT MARKET SHARES BASED ON PURCHASE DATA - A method for identifying consumer segment market shares for a merchant includes: storing a plurality of consumer profiles, each profile including data related to a consumer including a measurement key and plurality of transaction data entries associated with a transaction involving the consumer, each including a merchant identifier for a merchant involved in the transaction; receiving a specific merchant identifier and consumer segments, each segment including a plurality of measurement keys each associated with a consumer; identifying, for each segment, consumer profiles in the database that include a measurement key corresponding to one of the associated keys; calculating, for each segment, a market share based on data included in transaction data entries in each associated consumer profile that includes the specific merchant identifier and transaction data entries in each associated consumer profile that does not include the specific merchant identifier; and transmitting the calculated market share for each segment. | 03-31-2016 |
20160104181 | SYSTEM AND METHOD OF IDENTIFYING AND SEGMENTING ONLINE USERS - A processor implemented method for identifying and segmenting a plurality of online users based on a level of engagement with respect to at least one user group is provided. The method includes obtaining, information associated with one or more user from one or more user groups, computing, one or more parameter of one or more user based on the information associated with the one more user, dynamically obtaining, a score for the one or more user based on one or more parameter, and segmenting, the plurality of online users from the one or more user groups based on the score for the one or more user to obtain a subset of the plurality of online users from the one or more user group including (a) a highest first level of engagement, (b) a second highest level of engagement, and (c) a third highest level of engagement. | 04-14-2016 |
20160117702 | TREND-BASED CLUSTERS OF TIME-DEPENDENT DATA - Systems and methods for clustering or classification of time-dependent data are described herein. The systems and methods, which are computer-implemented, involve trend-based time series analysis for clustering or classification of time-dependent data. In the context of time-dependent consumer transaction data in retail or other commercial markets, the systems and methods are configured to cluster or group consumers by common characteristics or features to enable targeted consumer engagement or incentives. | 04-28-2016 |
20160117703 | Large-Scale Customer-Product Relationship Mapping and Contact Scheduling - In an example embodiment, a method retrieves a customer product-class mapping that maps a customer identifier of each of a multiplicity of customers to 1) a customer tier, 2) a product class associated with an online, retail, and/or phone sales channel, and 3) a plurality of variables characterizing an interaction of the customer with the product class via the online, retail, and/or phone sales channel. The method generates a predictive score for each unique combination of the customer identifier, the customer tier, and the product class using predetermined online sales channel rules, predetermined retail sales channel rules, and/or predetermined phone sales channel rules, respectively, and the plurality of variables. The method selects a first set of customers from the multiplicity of the customers based on the predictive score and a revenue generated from the each unique combination and generates a schedule for contacting the first set of customers. | 04-28-2016 |
20160117704 | System and method for storing and retrieving objects of interest relevant to different audience profiles. - A computerized system and method for storing and retrieving objects of interest relevant to different audience profiles is described. An embodiment of the method includes publishing objects of interest relevant to certain audience (e.g., Web page, Blog post, Social networking group, Business networking group, TV/Radio program, News article, Event, Product/Service information, Store location, Store section etc.) by their providers (e.g., Web publisher, Social network, Business network, TV channel, Publication, Event organizer, Business marketer, Signage network etc.) or another system acting on behalf of such providers, wherein such objects include one or more attributes about their audience (e.g., geographical region or location, age group, gender, interests etc.), indexing and storing the objects in a database based on published audience attributes, receiving search request from an user or another system acting on behalf of an user for searching objects that matches an audience-based search criteria, performing a search in the database for objects that meets the search criteria, and presenting the list of matching objects to the search requestor. | 04-28-2016 |
20160125439 | METHODS AND APPARATUS TO CORRECT SEGMENTATION ERRORS - Methods, apparatus, systems and articles of manufacture are disclosed to correct segmentation errors. An example disclosed method includes identifying, with a processor, a segment group comprising observation data associated with two or more segments, respective ones of the two or more segments having a similar first characteristic and a dissimilar second characteristic, identifying first portions of the observation data having errors, generating a first matrix of binary indicators associated with the observation data, the binary indicators associating the first portions of the observation data with a first correction factor, and generating a value for the first correction factor by minimizing a residual sum of squares of the segment group observation data associated with the first matrix of binary indicators. | 05-05-2016 |
20160132913 | Multivariate Canonical Data Model for Tagging Customer Base of Energy Utility Enterprise - A system and method contact a customer of an energy utility to solicit participation in an energy efficiency, sustainability, or reliability program. The system receives data pertaining to each customer, the data for each customer having a plurality of attributes pertaining to a customer descriptive characteristic, communications history, energy usage, or attitude. The data are normalized to a canonical form, and populated in a multivariate data model. Data in the model is clustered using a multivariate algorithm. Each cluster is assigned a utility customer segment, such as “Concerned Green” or “DIY”, that reflects the prevalent attributes. For each segment, the system determines a prospect subset of the customers most likely to participate in an offering pertaining to that segment according to a likelihood threshold. Finally, a prospect customer is contacted with an offering that may be customized according to the assigned customer segment. | 05-12-2016 |
20160140580 | CUSTOMER DEMOGRAPHIC INFORMATION SYSTEM AND METHOD - The present disclosure relates generally to customer demographic information (e.g., monetizing customer demographic information). In various examples, obtaining, aggregating and/or providing customer demographic information may be implemented in the form of systems, methods and/or algorithms. | 05-19-2016 |
20160140587 | SYSTEMS AND METHODS FOR DETERMINING SEGMENTS OF ONLINE USERS FROM CORRELATED DATASETS - Systems and methods are disclosed for determining segments of online users from a correlated dataset. One method includes receiving, over a network, a plurality of datasets including user-related data of a plurality of users, each dataset being transmitted from a data owner; correlating, by at least one processor, the plurality of datasets into a correlated dataset; receiving a segmentation request for determining a plurality of users that qualify for a segment, the segmentation request including a set of segment rules to apply to the correlated dataset; determining, by accessing the correlated dataset, whether each user of the plurality of users qualifies for the segment based on the segment rule; and storing an indication of the segment in the correlated dataset for each user determined to qualify for the segment. | 05-19-2016 |
20160140588 | PERCEPTION ANALYSIS - Computer-implemented consumer analytics logic accesses, in computer memory, data comprising user-authored text and includes sentic computing logic to identify, in the data, one or more lexical items in the text and determine a meaning for at least a subset of the one or more lexical items, where corresponding lexical units define the meaning determined for each of the subsets of lexical items. A determination is made by the consumer analytics logic as to whether each lexical unit maps to one or more factors in a set of factors of a model, the set of factors defined to include an attitudinal factor, a sociocultural factor, a personal factor, and a behavioral factor. A consumer sentiment is determined to be expressed in the text based on the model and the analysis. | 05-19-2016 |
20160142917 | CUSTOMER DEMOGRAPHIC INFORMATION SYSTEM AND METHOD - The present disclosure relates generally to customer demographic information (e.g., monetizing customer demographic information). In various examples, obtaining, aggregating and/or providing customer demographic information may be implemented in the form of systems, methods and/or algorithms. | 05-19-2016 |
20160148232 | USING HASHED MEDIA IDENTIFIERS TO DETERMINE AUDIENCE MEASUREMENT DATA INCLUDING DEMOGRAPHIC DATA FROM THIRD PARTY PROVIDERS - Example methods to perform audience measurement disclosed herein include performing a hashing operation on a first media identifier and a plurality of data values to determine a plurality of hashed media identifiers to identify first media, a first one of the hashed media identifiers being different from a second one of the hashed media identifiers. Disclosed example methods also include sending the first one of the hashed media identifiers to a media provider to identify the first media during a first monitoring interval. Disclosed example methods further include determining audience measurement data associated with the first media and the first monitoring interval based on reporting data received from a service provider different from the media provider, the reporting data including the first one of the hashed media identifiers and demographic data corresponding to a subscriber associated with a media device that received the first media from the media provider. | 05-26-2016 |
20160162917 | SYSTEM AND METHOD FOR EVALUATING AND INCREASING CUSTOMER ENGAGEMENT - A method and system for determining and improving the engagement between a customer and a company offering products and/or services is disclosed. As part of the process, a customer engagement score (“CES”) is calculated. The CES is a composite number that is used to measure how engaged and loyal a company's customers are. Each customer has their unique CES based on activity, relationship, usage of company product and services, rewards and their emotional and rational engagement with the company. Based on the CES, at least one recommended action to improve customer engagement is provided. | 06-09-2016 |
20160180362 | MEDIA CONSUMER VIEWING AND LISTENING BEHAVIOR | 06-23-2016 |
20160189181 | METHODS AND APPARATUS TO ESTIMATE DEMOGRAPHICS OF AN AUDIENCE OF A MEDIA EVENT USING SOCIAL MEDIA MESSAGE SENTIMENT - Methods, apparatus, systems and articles of manufacture to estimate demographics of an audience of a media event using social media message sentiment are disclosed. An example method includes calculating a sentiment score for a media-exposure social media message received from a social media server. The media-exposure social media message is identified based on a media keyword. Demographic information associated with users who viewed the media-exposure social media message is retrieved. An estimated impact on a size of a demographic segment of viewers is calculated using the sentiment score and the demographic information. | 06-30-2016 |
20160189182 | METHODS AND APPARATUS TO CORRECT AGE MISATTRIBUTION IN MEDIA IMPRESSIONS - This disclosure relates generally to audience measurement, and, more particularly, to correcting age misattribution in media impressions. An example method involves predicting a first age probability density function for an audience member at a first time, the first age probability density function indicative of a first probability that the audience member is in a first age range at the first time. The example method also involves, in response to receiving media monitoring data associated with the subscriber at a second time after the first time, determining a second age probability density function by applying a first aging factor to the first age probability density function for the audience member, the second age probability density function indicative of a second probability that the audience member is in the first age range at the second time, and associating the media monitoring data with the second age probability density function. | 06-30-2016 |
20160189183 | System and method for automatic discovery, annotation and visualization of customer segments and migration characteristics - System and method for automatic discovery, annotation and visualization of customer segments and migration characteristics. Embodiments herein relate to customer management, and more particularly to segmenting customers based on value and analyzing segment migration of customers. Embodiments herein disclose segmentation of customers performed using value and behavioral attributes with the analyst/marketer providing the bin definitions for each feature or the bin ranges being automatically discovered. Embodiments herein also disclose automatic discovery of the number of segments using frequent pattern mining. Embodiments herein also disclose automatic annotation and visualization of segments that helps in interpreting the segments better. Embodiments herein enable designing of marketing campaigns considering the customer value as well as his behavioral attributes. Embodiments herein analyze segment migration and measure the value impact of migration trends. | 06-30-2016 |
20160196567 | CLICKSTREAM ANALYSIS METHODS AND SYSTEMS RELATED TO IMPROVEMENTS IN ONLINE STORES AND MEDIA CONTENT | 07-07-2016 |
20160203501 | SYSTEMS AND METHODS FOR MERCHANT BUSINESS INTELLIGENCE TOOLS | 07-14-2016 |
20160379231 | DETERMINING RATINGS DATA FROM POPULATION SAMPLE DATA HAVING UNRELIABLE DEMOGRAPHIC CLASSIFICATIONS - Example methods disclosed herein to determine ratings data for media exposure include accessing sets of classification probabilities for respective individuals in a sample population exposed to media. In some examples, a first one of the sets of classification probabilities represents likelihoods that a first one of the individuals belongs to respective ones of a set of possible demographic classification. Disclosed example methods also include estimating, based on the sets of classification probabilities, parameters characterizing population attributes associated with the set of possible demographic classifications. Disclosed example methods further include determining the ratings data based on the estimated parameters. | 12-29-2016 |
20160379232 | Social Sketches - Systems and methods for generating a social sketch from social communications are provided. Unlike a typical summary of a subject (or of multiple subjects), a social sketch represents a “snapshot” summary of the social communications of people during a given period of time. The social sketch is generated by obtaining a corpus of social communications and filtering the social communications according to time. The filtered results are clustered according to the subject matter/topics of the social communications. Selected clusters are identified and the topic, representative high-quality social communications from non-experts and experts are extracted from each of the selected clusters and saved as a social sketch corresponding to the time period. | 12-29-2016 |
20160379233 | METHODS AND APPARATUS TO DETERMINE THE PROBABILITY OF PRESENCE - Methods, apparatus, systems and articles of manufacture are disclosed for determining a probability of presence for a user of a first device at a second media presentation with a second device. The probability of presence is determined by accessing a demographic impression from a database proprietor for the first device for a first media presentation, where the first device is registered with the database proprietor. Accessing a non-demographic impression from a second device, not registered with the database proprietor, for the second media presentation, where the non-demographic impression has one shared data item with the demographic impression. And determining the probability of presence for the user of the first device to be exposed to the non-demographic impression from the second device, based on the demographic impression, the non-demographic impression and the shared data item. | 12-29-2016 |
20160379234 | METHODS AND APPARATUS TO CORRECT ATTRIBUTION ERRORS AND COVERAGE BIAS FOR DIGITAL AUDIO RATINGS - Methods, apparatus, systems and articles of manufacture to correct attribution errors and coverage bias for digital audio ratings are disclosed. An example method includes applying, by executing an instruction with a processor, a duration-based count matrix to first demographic data associated with collected impressions of digital audio to determine second demographic data, the duration-based count matrix being based on a misattribution adjustment matrix, applying, by executing an instruction with the processor, a coverage adjustment vector to the second demographic data to determine third demographic data, applying, by executing an instruction with the processor, a scaling factor to the third demographic data to determine fourth demographic data, and generating, by executing an instruction with the processor, ratings data at a daypart-level using the fourth demographic data, the ratings data associated with the digital audio. | 12-29-2016 |
20160379235 | METHODS AND APPARATUS TO ENABLE DUPLICATION CORRECTION FOR BROADCAST STATION AUDIENCE MEASUREMENT DATA - Methods, apparatus, systems and articles of manufacture to enable duplication correction for broadcast station audience measurement data are disclosed. An example method includes mapping, by executing an instruction with a processor, listening data to a daypart and a demographic group, the listening data generated based on collected audience measurement data, calculating, by executing an instruction with the processor, a first audience measurement and a second audience measurement from the listening data for a plurality of daypart-demographic group pairings, determining, by executing an instruction with the processor, an unduplication factor for a first daypart-demographic group pairing based on the first audience measurement and the second audience measurement, and applying, by executing an instruction with the processor, the unduplication factor to an audience count associated with a streaming station to determine a cumulative audience measurement for the first daypart-demographic group pairing. | 12-29-2016 |
20170236135 | METHODS AND APPARATUS TO IMPROVE MARKETING STRATEGY WITH PURCHASE DRIVEN PLANNING | 08-17-2017 |
20190147467 | ROBUST MULTICHANNEL TARGETING | 05-16-2019 |
20220138660 | MACHINE LEARNING SYSTEMS AND METHODS FOR SELECTION, FILTERING OR PRESENTATION OF AVAILABLE SALES OUTLETS IN A DISTRIBUTED NETWORKED COMPUTING ENVIRONMENT - Lead to recognition time delay data, leads and sales data, and lead distance data for leads arriving at a system within a time range can be used to determine a time variable close rate and a distance adjustment thereof which, in turn, can be used to generate a predicted close rate for each lead. Using the predicted close rate for each lead, an address drive distance for each lead, and dealer-level discount information, a logistic regression model can be trained to generate a score for each combination of a dealer, make, and zip code. Each score indicates a probability of closing a sale between a lead in the zip code and the dealer in the combination. Scores thus generated can be used by a computing facility in recommending dealers to a consumer in the zip code who has expressed an interest in purchasing a vehicle of the same make. | 05-05-2022 |
20220138772 | Platform-Based Cross-Retail Product Categorization - A culture is defined that spans multiple retailers. Transaction data from the multiple retailers are processed to map barcoded item codes to a culture item vector space. Any non-barcoded item for a given retailer associated with the culture is linked to a most similar barcoded item of that retailer based on a retailer-specific item vector space. The distances between the mapped barcoded item codes of the culture item vector space are processed to cluster the barcoded item codes into classifications within the culture vector space. Each retailers non-barcoded items are associated to the classifications of the culture item vector space based on their linkages to the retailers' specific barcoded items, which are already mapped within the culture item vector space. Each item code of a given retailer's item catalogue is linked to its corresponding classification. | 05-05-2022 |
20220138831 | Method of Providing Fashion Item Recommendation Service Using User's Body Type and Purchase History - The present invention relates to a method of providing a fashion item recommendation service to a user using a service server. Specifically, the method of providing a fashion item recommendation service to a user using a service server includes: collecting histories of purchases through an online-shop and generating a user preference database by clustering user body type information and online-shop information from the purchase histories; when receiving a request for a recommendation service from a specific user, checking online-shop information corresponding to the recommendation service based on a style label expressing a human feeling as computer-recognizable data; performing collaborative filtering in the user preference database based on a fashion item size range determined based on the checked online-shop information and the user body type information to select at least one candidate item; and setting a priority for the at least one selected candidate item based on purchase patterns of users having a body type similar to a body type of the specific user among users that have used the checked online-shop, and providing a recommended product according to the set priority. | 05-05-2022 |