Abstract: An apparatus for measuring advertising effect includes a content providing unit configured to provide content including one or more advertisements according to a request of one or more fixed terminals, and an effect measuring unit configured to receive an advertisement reproduction/view log from the fixed terminal receiving the content from the content providing unit, and measure the advertising effect in cooperation with another system which provides advertisement-related information or sells an advertised product or service.

Abstract: In accordance with the embodiments of the present invention, a method and engine for assigning semantic tags to segments within media. The invention receives media and extracts textual information related to the media's content. It processes the textual information and creates a list of topics related to the content. The invention segments the media and intelligently assigns topical tags to the segments. The semantically segmented media data is outputted for storage or analysis.

Abstract: Techniques for facilitating targeted discounts are described. A request to distribute a promotional offer is received from a merchant. The promotional offer may be at least partially preconfigured, is maintained at the deal service, and may indicate an item (e.g., a product and/or service) offered by the merchant. The promotional offer is distributed immediately after the request is received. The user set to receive the promotional offer is determined. The promotional offer is provided to at least one user in the user set. The promotional offer is confirmed with the users that accepted the promotional offer.

Abstract: An example system includes a headset to gather first data comprising first neuro-response data and second neuro-response data from a user while the user is exposed to stimulus material. In the example system, the headset comprises a first sensor to gather the first neuro-response data, the first neuro-response data comprising at least one of electroencephalographic data or magnetoencephalographic data, and a second sensor to gather the second neuro-response data, the second neuro-response data comprising facial emotion encoding data. The headset also comprises a processor to synchronize the first neuro-response data, the second neuro-response data and the stimulus material to generate synchronized data and determine an effectiveness of a portion of the stimulus material based on the synchronized data.

Abstract: A system and method for implementing electronic advertising which provides content to users based on observing behavior of certain trendsetters within a member population. The trendsetters are determined by studying historical adoption behavior of individuals within the member population, or by reference to known indicia.

Abstract: Presented are embodiments of methods and systems that provide for Internet advertisement pricing and placement to be variably based on the advertisement's performance within a given category of Internet media, while at the same time achieving predictable delivery and pricing for both advertisers and publishers. Techniques are presented where an advertiser's online campaign will be pre-empted only for underperformance on its own merits, and not for its relative performance or price versus other advertisers. Further, techniques are presented for allowing publishers of advertisements to realize increased revenue from their high value media while using tag passbacks to secure a minimum reserve pricing of their choice.

Abstract: A process tracks user advertisement exposure. To enroll a user as a panelist, the process generates a panelist ID and sends it to the user's home router. The process receives a message from the router that includes the panelist ID and a cookie ID associated with a web application. The cookie ID identifies the application and a personal device. The process stores the correlation between the panelist ID and the cookie ID in a database. The process receives an advertisement request from the personal device that includes the cookie ID. The process selects an advertisement and sends it to the personal device. The process also stores information corresponding to the advertisement request in an advertisement log, including the cookie ID and an advertisement identifier. The programs correlate the advertisement request with the panelist ID using the cookie ID. The process generates a report of the user's online advertisement exposure.

Abstract: This specification describes methods, systems, and apparatus, including computer programs encoded on a computer-readable storage device, for determining expansion rates for events related to expandable content items.

Abstract: Performance data for online advertisement creatives may be received. A hierarchical model of the online advertisement creatives may be generated based on correlations among the online advertisement creatives. The hierarchical model may be used to estimate a respective performance value for each of at least some of the plurality of online advertisement creatives based on the received performance data. A creative quality score may be determined, for those online advertising creatives whose performance values were estimated, based on the estimated performance values.

Abstract: A method and computer program product for managing information about transactions occurring in a physical establishment includes gathering information about multiple transactions at a physical establishment, and storing the information as metadata. A byte stream corresponding to the metadata is generated. Several elements of the metadata are associated with a particular session based on predefined criteria.

Abstract: An improved method for managing advertising campaigns is provided. The method includes defining an advertising campaign, uploading a multi-media file of each member of the campaign; linking each of the multi-media files of the advertisements and associating the media files with a data capture template based on the media type; configuring the scheduling and promotion details for display of the media ad; associating survey questions with respondent incentives; calculating the present cost of the campaign; capturing consumer responses to individual members of the campaign; aggregating and analyzing the cumulative responses; making program adjustments to the type, location, and schedule for the campaign members based on these real-time results; and transmitting the revised campaign management instructions and adjusted media files to remote systems at the media channels thereby optimizing in real-time the overall ad campaign.

Abstract: A system and method for performing demographic verification of an advertising campaign are provided. The method comprises generating a demographic profile for each user in a group of users; analyzing demographic profiles of viewers of the advertising campaign to determine at least a campaign reach of the advertising campaign, wherein the viewers of the advertising campaign are a subset of the users in the group of users; comparing the determined demographic campaign reach to at least one target audience attribute defined in a media plan of the advertising campaign; and verifying at least a demographic campaign reach based on the comparison.

Abstract: A method and system for providing advertising effectiveness searching capabilities, predictive modeling capabilities and usage mining in a location-based services system is disclosed. During operation of the location-based services system, usage information for advertising campaigns placed on the location-based services system is stored. Advertisers are provided with the ability to enter a search request form on a remote terminal to mine the usage information. The search request is then transmitted to an application that searches usage information to generate a response to said search request.

Abstract: The invention provides a method, system, and program product for increasing the effectiveness of a customer contact strategy. In one embodiment, the method includes assigning a value to each of a plurality of customer events; assigning each of the plurality of promotion events to a “bucket” having a predefined range of values, based on a value of each promotion event; and selecting a customer event from the bucket having the highest range of values.

Abstract: A system and method are provided for dynamically adjusting advertisement (“ad”) time for a multicast channel. In one embodiment, a variable ad insertion function operates to receive one or more multicasts of media content from a core distribution network, insert ad timeslots into the media content, and optionally perform late-binding of ads to the ad timeslots. The media content including the inserted ad timeslots and late-binded ads, if any, is then multicast to associated client devices over a feeder network using corresponding multicast channels. For each multicast channel, insertion of ad timeslots into the associated media content is dynamically controlled based on the number of users currently consuming or predicted to consume the multicast channel, the number of client devices receiving or predicted to receive the multicast channel, or both.

Abstract: A computer implemented method comprises analyzing a plurality of attributes of a sample of online documents using a boosted decision tree and generating a model from it. The model is used to predict a click through rate (CTR) of an additional online document based on the analyzing. The predicted CTR is output to a display device, storage medium or network.

Abstract: A social networking system presents content items to users, who then provide feedback regarding pairs of content items. The feedback includes a selection of a content item of the pair of content items that was preferred by the user over the other content item. The social networking system uses this information to train a predictive model that scores content items based on quality. The content items may be advertisements. The social networking system uses the pair-wise comparisons of the advertisements to determine feedback coefficients in an advertising quality score prediction model using regression analysis of the pair-wise comparisons for each predictive factor in the model. In this way, the pair-wise comparisons are used to train the prediction model to understand which advertisements are more enjoyable than others. A feedback coefficient for each predictive factor may be computed based on the preferences received from the group of users.

Abstract: Consumer behavior may be modeled to measure the effectiveness of consumer marketing campaigns and to calculate the effect of other factors driving consumer behavior in the same markets. A dependent variable, such as product sales, product uses, or customer indications of interest in a product or business, may be associated with a marketing campaign potentially affecting the dependent variable. Data corresponding to the dependent variable for a plurality of markets over a period of time prior to a marketing campaign may be received and analyzed. A market matching process may be performed using the dependent variable data before the start of the marketing campaign, and a difference may be calculated between sets of matching markets for the dependent variable during the marketing campaign. An econometric modeling process may be performed on the calculated difference between the sets of matching markets, to measure the effectiveness of the marketing campaign and calculate the effect of other driving factors.

Abstract: An apparatus and method that give users the opportunity to identify which ad content is interesting and report information about these interested users to advertisers. The apparatus delivers digital visual advertising on the user's mobile device as part of an App's function. When the advertising message window appears, the user can dismiss the advertising message by touching the ad with a finger and swiping it left or right, depending on whether the user finds the ad content interesting or not. If interested, the user swipes the ad message to the right, and if not interested, swiping to the left; both action dismisses the ad and the user can resume activity prior to the ad message. The apparatus records the user's interest when the ad is swiped to the right and communicates this interest to the advertiser for future retargeted ads of similar content to the user.

Abstract: An example method includes receiving, from a computing device, a request for a sponsored content item. The method also includes providing the sponsored content item and associated interstitial content for presentation on a user interface. The interstitial content is for presentation after user selection of the sponsored content item. The method includes receiving first interaction data indicative of user selection of the sponsored content item and second interaction data indicative of a navigation input during presentation of the interstitial content. The method also includes, based on the second interaction data, categorizing the user selection indicated by the first interaction data as either an accidental selection or an intentional selection; and taking an action based on the categorizing.

Abstract: A method of advertising tailored based on usage patterns of a portable electronic device includes determining if a portable electronic device has entered an area associated with a local area network (LAN). A link is established between the portable electronic device and the LAN if it is determined that the portable electronic device has entered the area associated with the LAN. User services are established between the portable electronic device and a remote server using the established link based on a user profile associated with the portable electronic device. Devices associated with the remote server communicatively coupled to the LAN are controlled using the portable electronic device. Actions and/or behaviors of a user are tracked based on use of the portable electronic device. Advertisements are displayed and/or played on at least one of the controlled devices based on the tracked user actions and/or behaviors.

Abstract: Activity monitoring and replay techniques monitor and replay user consumption of content. To perform one of the techniques, event data from users that reflects the consumption of content is collected. The collected event data is used to infer one or more features in the content that are consumed by the user. The consumption of the one or more features by the user is replayed.

Abstract: A search engine, system and method for locating and rating a plurality of electronic mentions of respective ones of a plurality of brands.

Abstract: Methods, systems, and computer-readable storage media for predicting advertiser keyword performance indicator values based on proximity of advertisers to one another are provided. A keyword is received from a first advertiser that has not previously bid on the keyword. Another advertiser that is similar to the first advertiser and has previously bid on the keyword is identified, and a predicted performance indicator value for the keyword is calculated for the first advertiser based upon an established performance indicator value of the keyword for the other advertiser. In this way, performance predictions for an advertiser desiring to bid on a keyword that is new to that advertiser may be calculated more accurately than traditional methods that do not take into account advertiser similarity.

Abstract: A computerized system, method, and non-transitory computer-readable medium for simulating an electronic message campaign is disclosed including establishing one or more simulated subscribers and storing an information associated with each of the one or more simulated subscribers in a database, wherein the information comprises a profile information for each of the one or more simulated subscribers, receiving one or more communications addressed to the one or more simulated subscribers, processing the one or more communications based upon the profile information for each of the one or more simulated subscribers to generate a campaign activity, and processing the campaign activity.

Abstract: An application is enabled to influence product demand by amplifying demand signal. Product and customer information is analyzed for patterns within external resources. The patterns are combined to produce demand signal. The demand signal is matched to a target audience to amplify the demand. The product is presented to an audience to influence demand for the product through customer channels including advertising, pricing policies, and offers.

Abstract: Systems and methods for improving a content provider's bid efficiency in an auction are disclosed. A bid efficiency improvement module of a data processing system identifies a keyword on which a third-party content provider has placed a bid to serve at least one third-party content item. The module retrieves third-party content performance data for the identified keyword. The module determines that the third-party content performance data is sufficient to calculate one or more bid multipliers for the identified keyword. The bid multipliers are calculated based on the retrieved third-party content performance data. The bid multipliers are based on one of a geographic region in which the third-party content item is to be served, a time-of-day at which the third-party content item is to be served, or a type-of-device on which the third-party content item is to be served. The calculated bid multipliers are stored in a memory.

Abstract: Technologies are described herein for cross promoting real objects in a real world and virtual objects in a virtual world. A redemption code is received from a first participant in the virtual world. A virtual object corresponding to the redemption code is provided to the first participant. A request for information regarding the real object is received from a second participant of the virtual world and via the virtual object. Upon receiving the request via the virtual object, information regarding the real object is provided to the second participant and via the virtual object.

Abstract: A method of analyzing customer relationships in response to promotional efforts is disclosed. The method includes: enabling gaming activity by patrons; providing a server that includes an interaction database that stores interaction data, wherein the interaction data includes gaming activity and patron information; accessing data from the server, using a data retrieval system, based on patron information; defining a promotional group of the patrons; defining a control group of the patrons, wherein the patrons in the promotional group and the patrons in the control group have all engaged in gaming activity; initiating promotional efforts only to the promotional group of the patrons; and enabling retrieval and analysis of data from the interaction database, using a promotional analyzer, related to interactions involving patrons in the promotional group after the promotional efforts.

Abstract: Methods and apparatus to determine media impressions using distributed demographic information are disclosed. An example method to monitor media exposure involves receiving, at a first internet domain, a first request from a client computer, the first request indicative of access to the media at the client computer, sending, from the first internet domain, a response to the client computer, the response to instruct the client computer to send a second request to an intermediary associated with a sub-domain of a second internet domain, the second request to be indicative of the access to the media at the client computer, the intermediary to transmit an indication of the second request to an entity of the second internet domain, and logging an impression of the media.

Abstract: A method and system for using individualized customer models when operating a retail establishment is provided. The individualized customer models may be generated using statistical analysis of transaction data for the customer, thereby generating sub-models and attributes tailored to customer. The individualized customer models may be used in any aspect of a retail establishment's operations, ranging from supply chain management issues, inventory control, promotion planning (such as selecting parameters for a promotion or simulating results of a promotion), to customer interaction (such as providing a shopping list or providing individualized promotions).

Abstract: The purpose of this invention is to increase the effectiveness of advertisements. To realize this, advertisements are made more trustworthy through certification. People today are bombarded with ever increasing advertisements on all kinds of media such as, but not limited to, internet; mobile; print; television; movies; games; radio; billboards; it is becoming increasingly difficult for people to decide which advertisement to believe more than the other. Certified advertisements will indicate certain level of truthfulness in advertisements, helping people to decide which advertisements to believe and eventually respond to. Certification of advertisement will be based on, but not limited to, the extent to which content of the advertisement can be reviewed and validated. Review of the advertisement content will include, but not limited to, verifying offers; claims; fine prints; missing prints; history of advertiser on delivering on promises; current and previous complaints against advertiser.

Abstract: In one embodiment, a method includes detecting by a computer system of an entity a client system identifier. The detection is accomplished using a first wireless communication method. The method further includes sending by the computer system the client system identifier to a social-networking system. The social-networking system includes multiple user profiles arranged in at least one social graph that stores relationships between the user profiles. The method also includes receiving at the computer system from the social-networking system user profile information from a user profile of the user profiles, the user profile identified by the social-networking system as being associated with the client system identifier. The method further includes sending information associated with the entity to the client system in response to receiving the user profile information.

Abstract: A device that analyzes advertising effectiveness can include an asset repository that stores a plurality of smart objects, an entertainment interface that accepts one or more smart objects from the plurality of smart objects, an event stream processor that receives information from the one or more smart objects and provides metrics based on the information from the one or more smart objects, and a BIND engine that receives information from the one or more smart objects and one or more databases and provides decisions and metrics based on the information from the one or more smart objects and one or more databases.

Abstract: The method, apparatus and computer program product described herein is configured to train and deploy a predictive model that is configured to generate a predicted ROI value for a provider with respect to a current promotion or a future promotion. An example embodiment may comprise receiving input indicative of one or more attributes of a provider or a promotion. The example embodiment may further comprise generating at least one of a predicted return on investment (ROI) value or a predicted ROI component value based at least in part on the one or more attributes of the provider or the promotion and a ROI prediction model. The method may further still comprise generating a merchant impact report including the at least one of the predicted ROI value or the predicted ROI component value for the promotion.

Abstract: Methods, systems, and apparatus for analyzing aggregate ratio metric changes are provided. The method includes storing a plurality of metrics in a memory device, identifying a first measurement of a ratio metric for a first time period and a second measurement of the ratio metric for a second time period from the plurality of metrics stored in the memory device, wherein a change has occurred in the ratio metric between the first time period and the second time period, identifying at least one component associated with the change, determining, using a computer device, at least one component vector corresponding to the at least one component, using the computer device to convert each of the at least one component vectors into a scalar, and identifying a percentage of change for each of the scalars.

Abstract: A method for tracking user actions associated with an advertisement includes receiving conversion information. The method also includes determining whether the conversion information represents a valid conversion corresponding to a user action.

Abstract: One methodology in accordance with the disclosure is a computer-implementable methodology for quantitatively assessing the impact of paid search advertising on the total visits (paid and organic search-based visits) from search engines and utilizing this assessment to improve search engine marketing performance. The methodology relies on the computation of a synergy score for each search engine keyword of interest or coefficients in a synergy equation. Once computed, the score can be used to repeatedly compute the total return on advertising spend (ROAS) and other performance metrics on a go-forward basis without the time lag inherent in computing the synergy score itself. The methodology includes specific computer-implementable methods for improving search engine marketing performance based on the total (paid plus organic) performance metrics.

Abstract: External-signal influence on content item performance is determined. Content item performance data is received that reflects historic performance of a content item for multiple presentations of the content item. Signal data is received that corresponds to at least one signal that is temporally correlated with the content item performance data and that is external to each user, publisher and content provider involved in any of the presentations. Using the content item performance data and the signal data, an influence value for the signal with regard to the content item is determined. A content item prediction model is modified based on the influence value.

Abstract: The invention provides the ability to evaluate transaction activity of customers following the redemption of a promotion, such as the redemption of a prepaid instrument, coupon, or the like. For example, the subsequent activity could be where customers shopped after redeeming a coupon. Examples of such reports that could be generated include the percentage of redeemers who returned to the same merchant or who went elsewhere. In some cases, customers could do both, or neither and the reports could indicate such activity. Further reports could show the amount spent for each return visit (both for those who return and go elsewhere), as well as the percentage who shop only with the merchant, and nowhere else.

Abstract: A method of quantifying the effectiveness of delivery of digital media content comprises identifying a group of instances of delivery of digital media content, calculating a plurality of metrics for the group, each metric indicative of a different aspect of effective delivery of the digital media content, and combining the calculated metrics into a single indicator of the effectiveness of the delivery of digital media content for the group. The group of instances can represent the delivery of digital media content by a particular supplier or a particular service of a particular supplier of digital media distribution services over a period of time. The metrics can be indicative of the proportion of the instances that were visible or audible to a viewer of the digital media content.

Abstract: A system and method for determining the effectiveness of an advertisement on a website or a mobile device is provided. The advertisement is provided for presentation on the website or the mobile device, and a presentation time is identified at which the advertisement was presented. The presentation of the advertisement is associated with a user profile. At least one of a location associated with the advertisement or a product associated with the advertisement is identified, and an acknowledgment of the advertisement associated with the user profile is identified based on the identified presentation time and the identified at least one of the location or the product, after the advertisement is first presented. An effectiveness of the advertisement based on the identified acknowledgment of the advertisement is determined.

Abstract: Activity monitoring techniques monitor user consumption of content. To perform one of the techniques, event data from users that reflects the consumption of content is collected. The collected event data is analyzed to infer a feature within the content that the users are presumed to have consumed. Based on the analysis, an estimated actual impression measurement that reflects aggregate consumption of the feature within the content by the users is determined.

Abstract: The present invention relates to methods, systems, and computer readable media comprising instructions for generating a media plan for the distribution of one or more advertisements comprising a campaign. The method of the present invention comprises retrieving one or more advertiser specified advertising metric target values and analytics data associated with the campaign. The actual performance of the campaign with respect to one or more advertising metrics associated with the one or more advertiser specified advertising metric target values is determined. A modification is performed of one or more advertiser specified values based upon a comparison of the actual performance of the campaign and the one or more advertiser specified advertising metric target values. A media plan is thereafter generated for the campaign through use of the one or more modified advertiser specified values.

Abstract: An advertisement campaign optimization system, method, and a computer product for determining real time bidding data corresponding to one or more advertisement campaigns targeting one or more users are disclosed. In an embodiment, the method comprises receiving a bid request for the one or more advertisement campaigns. User interest data corresponding to the one or more users is determined. One or more bidding rules based on a first data set and a second data set are also determined. The first data set comprises data corresponding to the one or more users and the second data set comprises data corresponding to the one or more advertisement campaigns. The method determines real time bidding data based on the user interest data and the one or more bidding rules.

Abstract: Methods and systems for an interactive media guidance application to prevent a user from experiencing an episodic advertisement out of order. Each episodic advertisement includes a plurality of advertisements intended to be viewed in an ordered sequence, and each advertisement of the sequence is part of a story that the episodic advertisement tells. The interactive media guidance application determines whether the user's viewing activity may cause the user to experience a particular advertisement of an episodic advertisement out of order, identifies an alternative advertisement of the episodic advertisement to present in place of the particular advertisement, and presents the alternative advertisement so as to prevent the user from experiencing the particular advertisement out of the ordered sequence of advertisements.

Abstract: A method for automatically performing marketing actions. The method includes receiving consumer input relating to a product and/or service (“Product/Service”) from a service information display, receiving contextual input associated with the consumer input, placing the received consumer and contextual input into one or more segmented data groups, wherein each segmented group includes consumers data and associated contextual data having similar characteristics, and wherein each segmented group has sufficient consumers data and associated contextual data to enable statistical analysis.

Abstract: Disclosed are a method, a device and a system of social connection broadcast data publication through a social-networkable apparel server using a radial algorithm to automatically distribute the social connection broadcast data on a set of user profiles having associated verified addresses in a threshold radial distance from a set of geospatial coordinates associated with a tagging of a taggable apparel generated through a computing device. In one embodiment, the social connection broadcast data is radially distributed as a broadcast data to (1) a set of recipients through an internet protocol (IP) based network (2) a set of merchants through the IP based network and/or (3) a set of user profiles in a circular geo-fenced area defined by the threshold radial distance from the set of geospatial coordinates associated with the tagging of the taggable apparel generated through the computing device through the radial algorithm of a neighborhood broadcasting system.

Abstract: Each of the calling and the receiving side mobile terminals repeats transmitting its identification information to the base station and receiving notice information from the base station at certain time intervals. When a telephone call is made, the calling side mobile terminal transmits telephone number information to the base station, upon receiving the telephone number information, the base station transmits the identification information of the calling side mobile terminal to the receiving side mobile terminal which corresponds to the received telephone number information, and upon receiving the identification information, the receiving side mobile terminal displays, from among a predetermined number of moving image contents stored in advance, a moving image content corresponding to notice information most recently received from the base station on its display section for a predetermined period of time.

Abstract: A call tracking system and method that estimates a number of calls associated with a publication channel. The system uses a sampling algorithm to perform the estimation. The sampling algorithm selects a group of advertisements to serve as a sample group, and determines a distribution of calls for each of the publication channels associated with the sample group. The distribution of calls from the publication channels is assumed to be the same for all advertisements, and the data from the sample group is used to model the performance across all advertisements. The selected advertisements may be associated with one or more advertisers. Pooled or dynamic signal processing methods may also be used to estimate a number of calls associated with a publication channel. The number of calls associated with a publication channel may be utilized to determine the efficiency of, or calculate the revenue share associated with, an advertising campaign.