Abstract: Analysis of mental states is performed in order to project sales. Projections may be based on effectiveness of an advertisement, a product, or a service. Effectiveness may be based on various objectives including entertainment, education, awareness, persuasion, startling, and drive to action. Data, including facial information and physiological information, is captured for an individual viewer or group of viewers. In some embodiments, demographics information is also collected and used as a criterion for rendering the mental states of the viewers in a graphical format. In some embodiments, data captured from an individual viewer or group of viewers is used to optimize sales projections.

Abstract: A method for playing web-based media content from a media content proprietor (40) on a media player (12, 14), free of charge, the method comprising the steps of downloading media content and advertising content from a content provider (19) to the media player (12, 14); attempting to play on the media player (12, 14) the advertising content a predetermined number of times; counting a number of times the media content is played; transmitting the counted number to the content provider (19); calculating by the content provider (19) a royalty payment for the media content proprietor (40) based on the counted number, and carrying out payment; and the content provider (19) receiving an advertising revenue (44) associated with the actual number of times the advertising content is played; wherein downloading of the advertising content is optionally done together with playing the media content.

Abstract: Disclosed are systems, apparatuses, circuits, methods and computer executable code sets for assessing the relevance and impact of a secondary content, such as an advertisement, presented within primary content. A first assessment module is used for assessing a taste profile based relevance and/or impact of the primary content, and/or the secondary content, on the target viewer. A second assessment module is used for assessing a correlation level between the primary content and/or segments thereof, and the secondary content and/or segments thereof.

Abstract: A method of providing web site verification information to a user can include receiving a DNS query including a host name and a seal verification site name, parsing the DNS query, and extracting the host name from the DNS query. The method also can include accessing a DNS zone file including a list of Trust Services customers and determining if the host name is associated with a Trust Services customer in the list of Trust Services customers. The method further can include transmitting a positive identifier to the requester if the host name is associated with a Trust Services customer and transmitting a negative identifier to the requester if the host name is not associated with a Trust Services customer. In a specific embodiment, the Trust Services include issuance of digital certificates.

Abstract: The present invention is directed towards systems and methods for generating weights with which one or more advertisements comprising an advertisement group are selected for distribution. The method of the present invention comprises retrieving analytics data for the one or more advertisements comprising the advertisement group, and retrieving advertiser specified configuration data associated with the one or more advertisements comprising the advertisement group. A score is calculated for the one or more advertisements comprising the advertisement group, and weights are assigned to the one or more advertisements comprising the advertisement group based upon the scores and analytics data associated with the one or more advertisements.

Abstract: The present invention is directed to selecting an advertisement to be presented in an ad space of a webpage. A criterion (e.g., keyword, image, audio element, etc.) is selected to evoke the advertisement. In an embodiment, the criterion is selected based on a relevance of the criteria to a user, and not necessarily based solely on a relevance to the webpage. Whether a criterion should be used to evoke the advertisement might be based on various factors, such as the likelihood that the user will select a criterion-evoked advertisement, regardless of whether the criterion appears in among content of the webpage, and an expected gain of presenting the criterion-evoked advertisement.

Abstract: A “Quality-Based Ad Pricer” prices ads as a function of how users respond to a particular page and/or domain to which they are sent by an online advertisement. User experience is improved by ensuring that advertisements that are more relevant to a user are priced less than an ads which are less relevant to the user. In particular, a quality factor for each ad is determined as a property of the advertiser's site based on measured user behaviors with respect to that site. This quality factor is then used in ranking, selecting, and pricing ads in an automated online auction. Further, while ad aggregators are not excluded from the ad market by the pricing rules of the Quality-Based Ad Pricer, these rules ensure that there is a “level playing field” such that ads of merchants are not excluded by the ads of ad aggregators.

Abstract: Technologies are described herein for sharing advertisement revenue. An advertiser-generated avatar is provided to a first participant. The advertiser-generated avatar may be associated with an advertisement. Further, the first participant may be associated with a current avatar. The current avatar is replaced with the advertiser-generated avatar. While the first participant is associated with the advertiser-generated avatar, a level of interaction between the first participant and other participants is monitored. An amount of compensation to provide the first participant is determined based on the level of interaction between the first participant and the other participants. The compensation is provided to the first participant.

Abstract: An integrated system, network, and method for providing audio/video broadcasting of programming and advertising content. The system provides sales, traffic, playback automation, and accounting services to a media outlet. The network links multiple integrated systems together between multiple media outlets and advertising clients. The network also provides distribution of programming and advertising content to multiple media outlets simultaneously.

Abstract: Blog advertisement selection and placement is driven by the analysis of different facets, which are defined as why-facet, how-facet, who-facet and what-facet. The objective of defining such facets and their labels is to be able to better classify and distinguish information from blogs with the goal to use these different facets to better target advertisements on blogs. A model of features is built and maintained that classifies information from blogs along the defined facets. The features, including non-keywords and keywords, are extracted from a set of blogs of at least one blogosphere. Non-keywords are related to the blog information and keywords, and assist the keywords in the classification of the different facets/labels. An advertising campaign is defined in terms of the defined facets. The model and the defined advertising campaign will then be able to determine and/or predict placement of an advertisement in a blog or blog page.

Abstract: The present invention is directed towards systems and method for generating a bid amount for one or more keywords for a display of an advertisement associated with a given keyword. The method comprises calculating estimates of one or more advertising metrics for one or more keywords associated with one or more advertisements displayed at one or more positions. Target positions are identified for the one or more keywords at which a return on investment earned by the display of one or more advertisements in response to a query that matches a given keyword exceeds a threshold by a given probability on the basis of the estimates to select a given target position that provides a greatest estimated profit. Bid amounts are generated for the one or more keywords in order to obtain the display of associated advertisements at the given target position.

Abstract: An application on a user device sends a request for promotional material to a server while the application is active on a user device. The application receives the promotional material from the server and stores the promotional material in a data store on the user device. A management client on the user device receives a user interaction with the promotional material and sends data representing the user interaction to the server independent of web-browser technology.

Abstract: A system and method searches, identifies, tests and/or evaluates websites and content related ads for suitability. The results can be used to target ads more effectively to users and identify and promote services to prospective advertising affiliates as part of an advertising campaign.

Abstract: Analysis of the mental states of voters is provided to gauge the effectiveness of political messages. Political advertisements are evaluated as they impact various groups of people. Data is captured for an individual voter or group of voters where the data includes facial information and physiological information. Demographics information can be collected and used as a criterion for rendering the mental states of the voters in a graphical format and is synchronized to the political advertisement. Based on mental state data political advertisements can be optimized and targeted based on political affiliation or political leaning.

Abstract: A social networking system captures performance metrics of an offer by selecting a whisper code to include in an offer when presenting the offer to users of the social networking system. The social networking system receives information for providing its users with an offer for redemption at a merchant establishment. The social networking system also receives a set of rules for selecting a whisper code to go with the offer. The rules may be based on any context for which the advertiser or merchant may want to track performance of the offer. When presenting the offer, the social networking system selects a whisper code using those rules. This tracking using different whisper codes enables the merchant to understand the performance of the offer campaign based on the context in which the social networking system presents the offers to its users.

Abstract: A consumer system receives capabilities metadata from a producer system that includes resource class metrics for a resource class included in the producer system. Next, the consumer system creates a rule that corresponds to one of the consumer system's managed entities. The rule includes one or more prescriptions that reference the resource class metrics and specify a periodicity, which informs the producer system as to a time interval for which to send prescription results that includes metric information pertaining to the resource class metrics. The consumer system sends the rule to the producer system and, in turn, the consumer system receives the prescription results from the producer system at the specified periodicity and applies the metric information to the managed entity.

Abstract: Television advertisements and associated advertisement parameters are received from advertisers. The television advertisements are automatically selected for airing during an advertisement availability based on the associated advertisement parameters. Data related to the selected television advertisements are provided to a television provider to facilitate airing of the selected television advertisements during the advertisement availability. Reporting data related to television advertisement airings and impressions are received from the television provider.

Abstract: The present invention provides techniques for use in measuring effects of social sharing, and social sharing user characteristics, on advertisement effectiveness. Measurement information can be used in many ways, such as in optimizing advertisement campaigns and advertisement targeting. Techniques are provided in which bucket testing experiments are utilized. Advertisement performance may be tracked, including downstream advertisement performance, which may follow social sharing, in measuring differences in advertisement performance between content sharing users and content non-sharing users. Techniques are provided in which user social graph information may be used in determining downstream advertisement performance, even without information regarding specific sharing instances.

Abstract: An audience browser GUI that displays characteristics of an advertising audience selected by specifying targeting constraints is disclosed. The audience browser GUI allows a user to express constraints to define audiences. The audience browser displays characteristics of audiences defined by the constraints. A user can adjust constraints, observe characteristics of the resulting audience, and repeat to develop a desirable audience. In addition, the audience browser may recommend initial constraints and adjustments to constraints, based on advertiser goals and data.

Abstract: The probability that a user clicks on an online advertisement may be dependent on an attractiveness of the online advertisement. In determining such click probability, an advertisement attractiveness model for estimating an attractiveness of an online advertisement to users may be developed. A click behavior model is then created by combining the advertisement attractiveness model with a relevance model. The relevance model may be used for estimating relevance between the online advertisement and a search query. The click behavior model may be applied to features extracted from the online advertisement to calculate a click probability for the online advertisement.

Abstract: Methods, systems, and apparatuses, including computer programs encoded on a computer storage medium, for providing data related to conversion paths. In one aspect, a plurality of conversion paths are received. Each conversion path includes one or more user interactions that include a plurality of dimensional data. A priority sorted list of dimensions is received and dimensional data is selected from each user interaction based on the sort list of dimensions. Each conversion path is converted into a dimensional path, and each dimensional path includes dimensional elements that corresponds to user interactions of the conversion path. Each dimensional element comprises the selected dimensional data from the corresponding user interaction. The plurality of dimensional paths are aggregated together based upon the number of dimensional elements within each dimensional path and the dimensional data of the dimensional elements. Reports can be generated using the aggregated dimensional data.

Abstract: A system and method for initiating communications between a first wireless device and a second wireless device. The method includes the steps of detecting the status of the first wireless device, notifying the second wireless device via a scrolling ticker message based on the detecting step and establishing a communication session between the first and second wireless devices. The detecting step includes generating an alert based on a predefined event. The system for establishing a communication path between a first mobile device and a second mobile device includes an IMS core, a presence server communicatively coupled to the IMS core and in communication with the first mobile device, a scrolling ticker server in communication with the presence server and with the second mobile device, wherein the presence server communicates availability of the first mobile device and the scrolling ticker notifies the second mobile device of the availability of the first mobile device.

Abstract: A method for delivering a context-based study to a panel in order to measure the effectiveness of advertisements is provided. One disclosed method may include receiving a study definition from a study generation device, the study definition including panel criteria and a target context, and selecting a panel of panelist candidates by matching the panel criteria with panelist candidate demographic information. The method may include monitoring browser events via a study client browser extension of a panelist computing device in order to determine when a target context has been met. The method may further include sending a report indicating that the target context has been met.

Abstract: A computer-implemented method is provided for managing online user profiles. The method includes receiving information about online activity of a user, the information including at least a unique user ID and a URL requested by the user; fetching textual content associated with the URL requested by the user; generating one or more keywords based on the textual content; and generating or updating a user profile of the user to include the one or more keywords. A system for managing online user profiles is also provided.

Abstract: System and methods are provided for analyzing and displaying digital content and advertisements over electronic networks. In accordance with one implementation, a method is provided that calculates, using at least one processor, an engagement metric (including, for example, click probability) for a specific combination of time, promotion slot, and user segment, for an individual promotion of a set of promotions, and calculates a value of a landing page associated with the promotion. The method then can multiply the engagement metric and the value to determine the valuation of the promotion. The method can operate recursively by using previous calculations in later runs of the same method.

Abstract: In a system that supports paid advertisements, as advertisements are awarded ad spots based on contextual relevance to search queries, periodic performance indicators are recorded. The periodic performance indicators represent ad performance during a specific time period. Over time, the periodic performance indicators are aggregated to form historical behavior indicators. A graphical model of advertiser behavior is formulated based on the periodic performance indicators and the historical behavior indicators. The graphical model may then be used to forecast future bid values based on previous advertiser behavior.

Abstract: An online advertising system receives ads and ad exposure goals, such as a desired number of impressions or amount of presentation time, from advertisers. The online advertising system may also receive a time-based advertising purchase. A request for an ad is received for a client, and an amount of exposure is determined for each received ad across a plurality of ad mediums. The ad mediums may include both controlled ad mediums and external ad mediums. The advertising system selects an ad for presentation among the received ads based on the received ad exposure goals associated with the ads and the determined amount of exposure for each ad. The advertising system may select an ad by determining bids for each ad and conducting an auction among the ads. In such an embodiment, the advertising system may determine the bids for ads that have met their ad exposure goals to be zero.

Abstract: A method and system for analyzing marketing campaigns for increasing visitors' interactions with a webpage is disclosed. A plurality of landing pages are created, each being associated with a different marketing campaign. Visitors that access the web site are assigned to a progression level (e.g., “Anonymous”; “Converted”; “Qualified”) based on their interactions with the web site. Specific marketing campaigns are credited with progression-level increases, based on which landing page a visitor accessed prior to a progression-level increase. Values of statistics are generated for multiple marketing campaigns based on the credits. The values of the statistics can be simultaneously presented to a user, such that the user may compare the efficacy of multiple campaigns.

Abstract: A system and method of providing a linking module to link an identifier to media content in order to create embedded advertising content. A system enabler receives a registration of the identifier and further provides embedded advertising content to be transmitted to a client. The system enabler further provides an extraction module to extract the identifier from the embedded advertising content to allow a client interaction with an advertising experience. The client interactions with an advertising experience are tracked by the system enabler to result in tracked client interactions. After receiving the tracked client interactions, the system enabler compares the tracked client interactions to compensable action items to update an account.

Abstract: Embodiments of the present invention provide methods, systems, and machine-readable media for identifying and sharing common trends represented in a corpus of private information without revealing the private information. Identifying and sharing common trends can comprise reading a first set of private information and a second set of private information. The first set of private information can be compared to the second set of private information and common information between the first set of private information and the second set of private information can be identified. Once identified, a determination can be made as to whether the identified common information represents an emerging trend, i.e., the common information re-occurs or develops over time. In response to determining the identified common information represents an emerging trend, the emerging trend can be reported without revealing the first set of private information or the second set of private information.

Abstract: A method, an apparatus and/or a system of amplification of a social object through automatic republishing of the social object on curated content pages based on relevancy is disclosed. A curated content system involves associating a social media account of a user of a third-party service to the curated content system based on an authentication of the social media account through the curated content system. The curated content system may also involve determining that a social object placed in the third-party service is associated with a page in the curated content system based on a relevancy match between an identification data associated with the social object with at least a portion of a content of the page. Further, the curated content system involves automatically republishing the social object adjacent to at least the portion of the content of the page using a processor to amplify an influence of the social object.

Abstract: Example methods, apparatus, systems and machine readable media are disclosed herein for analyzing response data from subjects exposed to media. An example method includes obtaining first response data from a first data collection modality and second response data from a second data collection modality from a subject exposed to an advertisement or entertainment. The example method also includes generating a coupling index based on first data from a first frequency band of the first response data and second data from a second frequency band of the first response data, the first frequency band and the second frequency band being different. In addition, the example methods includes generating validation data based on the second response data and one or more of the first response data or the coupling index and determining an effectiveness of the advertisement or entertainment based on one or more of the coupling index or the validation data.

Abstract: Example methods, systems and machine readable instructions are disclosed for analyzing neuro-response data and virtual reality environments. An example method includes analyzing neuro-response data gathered from an individual exposed to a virtual reality comprising a virtual reality setting and a marketing material. The example method also includes determining an effectiveness of one or more of the virtual reality setting or the marketing material based on the neuro-response data. In addition, the example method includes modifying one or more of the virtual reality setting or the marketing material based on the effectiveness.

Abstract: Example methods, apparatus, systems and machine readable media are disclosed herein for analyzing response data from subjects exposed to media. An example method includes collecting electroencephalography data from a brain of a subject exposed to an advertisement. The example method also includes determining neuro-response data from the electroencephalography data, the neuro-response data representative of interaction between a first frequency band and a second frequency band of the electroencephalography data, the second frequency band being different than the first frequency band. In addition, the example method includes determining resonance to the advertisement based on the neuro-response data and identifying one or more priming levels for one or more locations in a source material based on an attribute of the source material. The example method also includes selecting a first one of the one or more locations for inclusion of the advertisement based on the resonance and the priming levels.

Abstract: Example methods, apparatus, systems and machine readable media are disclosed herein for selecting advertisement or entertainment location based on neuro-response data. An example method includes analyzing first neuro-response data from a first subject exposed to source material. The example method also includes identifying a candidate location in the source material for introduction of an advertisement or entertainment based on the first neuro-response data. In addition, the example method includes analyzing second neuro-response data from at least one of the first subject and a second subject exposed to a combination of the source material and the advertisement or entertainment inserted in the candidate location. The example also includes determining an effectiveness of the advertisement or entertainment based on the second neuro-response data.

Abstract: A system, method, and computer program product are provided for sending information in response to a receipt of an alphanumeric code presented with an advertisement. In operation, an advertisement is presented with at least one alphanumeric code in an offline media. Additionally, the alphanumeric code is received by an advertiser from a device of a user. Further, additional information is sent in response to the receipt of the alphanumeric code.

Abstract: A method for managing an interactive video display system. A plurality of video spots are displayed on the interactive video display system. Data based on interaction with the interactive video display system corresponding to video spots of the plurality of video spots is gathered. The data is stored, wherein the data is for use in managing presentation of the video spots. By analyzing data relating to different video spots, popularity and other metrics may be determined for the video spots, providing useful information for managing the presentation of the video spots.

Abstract: A deal manager associates a unique vehicle-offer code or identifier to each vehicle and/or advertisement to be displayed on a vehicle. The unique vehicle-offer code or identifier corresponds to an advertisement on one vehicle such that the vehicle can be uniquely identified. A brief description of the promotional offer and/or the vehicle-offer code may be displayed on the associated vehicle. A consumer may request additional information about the promotion offer through the use of the vehicle-offer code or other identifier. When the consumer receives the additional information, the consumer may have an opportunity to purchase the promotional offer, thereby creating a “conversion.” The identity of the vehicle displaying the brief description of the promotional offer and/or its location may then be determined through the use of the unique vehicle-offer code. The location of the consumer at the time of interest and at the time of conversion may also be determined.

Abstract: A computer-implemented method for monitoring the effectiveness of advertisements broadcast is described. The method includes detecting that an advertisement has been aired by a broadcast station, monitoring a network for a duration subsequent to the airing of the advertisement for activity attributable to the airing of the advertisement, and developing a quantitative relationship between the activity and a number of listeners of the advertisement.

Abstract: The efficient allocation of advertisements, also known as creatives, on one or more web sites is provided for while ensuring that guarantees to advertisers are honored. In one embodiment, a linear program solver allocates creatives to advertising slots according to an optimizing function designed to maximize revenue for the site. The linear program solver takes as input a set of creatives, creative performance data, constraints, and slot identifiers. The output of the linear program solver is an optimized schedule not violative of any of the input constraints.

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: In general, a method includes enabling a user to specify a rule that causes a message to be formed, the rule being based on a reputation of a product and the reputation being based on information, from an online source, that is indicative of the reputation of the product.

Abstract: Metrics for online ads are captured by parsing web pages to identify ad beacons containing information identifying whether the online ads are for a particular client. These metrics are used to determine key performance indicators for auditing and competitor analysis for an online ad campaign.

Abstract: A system and method are directed towards identifying advertisement keywords within a variety of content types, identifying similarity rankings of advertisements based on the keywords, and to the guiding of keyword purchases. In one embodiment, a search is performed based in part on defined selection criteria, and/or scheduling rules. Content that may include advertisements is processed to identify advertisement keywords. A similarity ranking of different advertisements based on keywords therein may be determined. The similarity rankings may be used, with keyword pricing data, to identify instances of keyword arbitrage, guide purchase of keywords, and to control traffic flow to and from advertisements to obtain a benefit from price differentials between what one keyword seller charges for a keyword and what a click buyer will, pay for traffic directed to advertisements with the same or related keyword.

Abstract: A computer implemented method for producing a contact history for a marketing campaign is described. The method includes producing a promotion version history table for the marketing campaign, with the promotion version history table recording promotion attribute values for each promotion version at runtime, producing a treatment history table for the marketing campaign, with the treatment history table representing promotion instances given to a group, producing a contact history table for the marketing campaign, the contact history table recording which contact entities were in which groups at runtime, linking the promotion version history table, the treatment history table, and the contact history table, wherein the linking preserves referential integrity between the promotion version history table, the treatment history table, and the contact history table, and producing the contact history from the promotion version history table, the treatment history table, and the contact history table.

Abstract: A computer implemented method for response tracking is described. The method includes obtaining one or more responses to one or more promotions, attributing the one or more responses to one or more treatment instances, with the one or more treatment instances correspond to a promotion version assigned to a group of contact entities at an execution of a computer implemented marketing campaign, and generating a response table, the response table including one or more entries, the entries in the response table being in accordance with attribution of the one or more responses to one or more treatment instances.

Abstract: Methods, processes, apparatuses and computer programs are described herein whereby the owner of a website has the website hosted by a hoster as host who provides the owner with product bearing the hosted website address. Public distribution of the product per a hoster allocation formula design prompts a product acquired by a recipient to access the hosted website in which products, services and agendas as content are displayed for consideration. Activities including ordering, manufacturing, allocating, accessing and others provide data that is recorded and analyzed by the hoster. Centralizing data collection by the host provides evaluation means and metrics to improve the time, nature and place to allocate product, the initial selection of product type itself, and even improve website content based on such empirical evidence of website success.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for characterizing effectiveness of online advertisements inserted into media streams based at least in part on monitoring events indicative of an audience skipping ad streams inserted into the media streams. The methods and systems described in this specification enable tracking the number of impressions prior to detecting events indicative of interest or disinterest for ad streams inserted into a media stream.

Abstract: A system and method for adaptive learning of at least one advertisement behavior. The method comprises receiving electronically at least one advertisement and associated metadata from a client node over a network; continuously monitoring the behavior of the at least one advertisement; analyzing the performance of the at least one advertisement; and determining the future performance of the at least an advertisement respective of the analysis.

Abstract: Analysis of mental states is provided in order to enable data analysis pertaining to affect-based evaluation of advertisement effectiveness. Advertisements can have various objectives, including entertainment, education, awareness, persuasion, startling, or a drive to action. Data, including facial information, is captured for an individual viewer or group of viewers. Physiological information may also be gathered for the viewer or group of viewers. In some embodiments, demographics information is collected and used as a criterion for rendering the mental states of the viewers in a graphical format. In some embodiments data captured from an individual viewer or group of viewers is used to optimize an advertisement.