Abstract: An advertisement impression distribution system is programmed to generate an allocation plan for serving a number of advertisement impressions changeable as a result of one or more events, the allocation plan to allocate a first portion of advertisement impressions to satisfy guaranteed demand and a second portion of advertisement impressions to satisfy non-guaranteed demand.

Abstract: The present disclosure includes a system, method, and article of manufacture for targeting ad impressions. A list of customer records may be transmitted to a service provider system that identifies a matched customer and installs a cookie on a web client associated with the matched customer. The system may further receive a campaign request from a merchant and transmit the campaign request to the service provider system which may add a flag to the cookie based on the campaign request as well as instruct a media buyer system to bid on an ad impression for the matched customer based on the flag. The system may further receive an expenditure associated with the matched customer who received the ad impression and compare the expenditure to an expenditure associated with a customer who did not receive targeted ad impression but fits parameters associated with the campaign request.

Abstract: Systems and methods for creating product advertising campaigns in accordance with embodiments of the invention are disclosed. In one embodiment, a product target generation server system includes a processor, product data including a plurality of attribute-value pairs describing a set of products, semantic models including data describing relationships between product targets, concepts described using categories and attribute-value pairs, and target grouping data constituting a set of groupings of product targets, global performance data including performance data, wherein the processor is configured to identify at least one category in a portion of the product data, determine a product advertising structure based on the product data and the identified at least one category, match a portion of the groupings of product data with the product targets within the global performance data, identify performance data, and generate at least one product target using the identified performance data and the product data.

Abstract: Methods and apparatus for implementing forward looking optimizing promotions by administering, in large numbers and iteratively, test promotions formulated using highly granular test variables on purposefully segmented subpopulations. The responses from individuals in the subpopulations are received and analyzed. The analysis result is employed to subsequently formulate a general public promotion. The test promotions may be repeated continually and iteratively with different test promotions and/or different subpopulations to continue to uncover advantageous correlations between segmentation criteria, test promotion variables, and consumer response and/or to keep up with consumer changing taste.

Abstract: A dynamic, interactive digital advertising system and method may include an advertising component for generating qualified leads in response to a lead request using interactive advertising units for engaging with responders to an advertising message. The advertising system may provide “real-time” matching of leads, which may be validated based on a criteria defined by the lead requestor, to the services or products offered by the lead requestor. The advertising component may aggregate the feedback generated from multiple interactive advertising units, including feedback received from other advertising sources, and apply various learning algorithms to optimize current and future advertising units. The advertising units may be modified in real time based on the observed aggregated performance of other advertising units across multiple advertisers.

Abstract: Methods and systems for providing an automated virtualized signal marketplace or exchange for signals from distributed data sources for use in advertising. Systems and methods to automatically discover and recommend which of the signals controlled by multiple entities may be most effective toward a given objective associated with advertising campaigns. Signals are indicators of data that are derived from data sources and abstracted to protect the underlying data. Each entity that sells data in the virtual marketplace first converts data into a “signal” or indicator that represents the data without disclosing it or providing it. Signal sellers determine if they want share signals based upon buyer, price, and other rules, including limitations on signal use; signal buyers determine signal value based upon their objectives.

Abstract: Disclosed are various embodiments of a system and a method for conducting cloud-based commerce. In accordance with one aspect of the approach, a method of cloud-based commerce, the method may include the steps of receiving a plurality of campaign instructions from a plurality of campaign controllers, configuring the campaign instructions and creating a unique brand identifier, campaign data, and a distribution trigger, the campaign data including a brand communication message and a redemption offer, distributing the campaign data to a plurality of mobile computer devices, causing the display of the brand communication message upon a first of the mobile computer devices, authorizing redistribution of the campaign data to a second of the mobile communication devices, acknowledging the acceptance of the redemption offer, creating analytics data based upon the campaign data, distribution data, and redemption data.

Abstract: In accordance with the teachings described herein, systems and methods are provided for optimizing distribution of advertisement information. In one example, call tracking data may be generated from a plurality of telephone calls made to a business entity, where the call tracking data includes geographical information to identify locations from which the plurality of telephone calls originated. A call distribution may be determined from the call tracking data, where the call distribution groups the call tracking data based at least in part on distances between the business entity and the locations from which the plurality of telephone calls originated.

Abstract: A playlist and a digital advertisement are received. The digital advertisement is output to a screen on the basis of information in the playlist. A code is generated based on the information in the playlist and the generated code is output to the screen. The generated code is output to the screen by flashing the generated code on the screen at a predetermined flash frequency and for a predetermined flash time so that the generated code is visually imperceptible or barely detectable to a human viewer. A suitable equipped electronic device may detect the code and utilize information encoded in the code in various ways.

Abstract: A system and method for providing online commerce that includes at an online commerce platform, configuring a product profile for selling; providing a URI link of the online commerce platform that is unique to the product profile; at the online commerce platform, receiving an request to the link; identifying a referral channel of the request; conditionally selecting a product purchase interface mode from a set of interface modes at least in part based on the referral channel; transmitting a response of the selected product purchase interface mode in reply to the request; and at the purchase interface, completing a purchase from the product purchase interface.

Abstract: Systems and methods presented herein provide for the directed insertion of assets in Content On Demand content across a plurality of computing devices. One system includes a database operable to maintain campaign data of the assets and an asset insertion decision system operable to instantiate on a plurality of computing devices and to periodically access the database to provide the campaign data to the instantiations of the asset insertion decision system on the computing devices. For example, the asset insertion decision system may establish a recording period in which each instantiation of the asset insertion decision system is operable to direct insertion of a portion of the assets in Content On Demand content selections upon request and to record the asset insertions between accesses to the database. The asset insertion decision system is also operable to process the asset insertions recorded by the instantiations to synchronize the campaign database.

Abstract: Methods, systems, and apparatus, including computer program products, that generate a display including one or more user-adjustable advertising mechanisms and receive a user selection of at least one of the one or more user-adjustable advertising mechanisms. Optionally, a user-adjustable tool can be displayed. The user-adjustable tool is configurable by the user to adjust the at least one user-adjustable advertising mechanism. A graphic is generated that represents at least one other user-adjustable advertising mechanism, where the graphic is generated based at least in part on the adjustment of the at least one user-adjustable advertising mechanism using the user-adjustable tool.

Abstract: Methods and systems for generating and applying quality ratings to data records, such as for use with mailing lists and similar applications, are provided. Information such as use information may be obtained for a plurality of data records, each of which is associated with a potential recipient of a mailpiece. A quality rating may be assigned to each data record, which indicates an assigned likelihood that a solicitation mailpiece is expected to receive a favorable response from the potential recipient. These quality ratings may be stored and an indication of the quality rating for each data record may be provided to a mailer. The quality ratings may be generated or updated based upon how the associated data records are used by the mailer and/or subsequent mailers.

Abstract: A system and methods are provided for serving content in response to content queries or requests. When a request is received, for content to be presented to a specified user, candidate content items are identified, possibly based on matches between attributes of the user and attributes of the items' target audiences. For each item, a history indicating the frequency (e.g., total number) and/or recency with which impressions of the candidate item were previously presented to the user is retrieved and used to determine a modifier value, which is applied to a calculated or generated probable click-through-rate (pCTR) to produce a modified probability that the user would act on the item if it is served to him or her. Each item's estimated value is computed by multiplying a bid associated with the item and the modified probability; the results are ranked and the top-ranked item(s) are served.

Abstract: A system includes a processor configured to initiate a new user-model for advertising evaluation based on a user request. The processor is also configured to add basic user demographic information to the model. The processor is further configured to update the model based on user responses to advertisements presented during a drive in which the model is in use and utilize the model to filter or select advertisements in drives having some correspondence to identifying traits associated with the model.

Abstract: A system and method for rule-based or algorithm-based automated response optimization in a marketing environment is provided. The system and method increases email or website open, click through, and fulfillment rates for advertisers, including newsletter advertisers, national retailers, manufacturers, non-profits and the like (“Customers”). Individuals who receive emails from any of the Customers or access websites with Customer's advertisements will become a Member through a simple enrollment process. The system and method rewards Members for opening, clicking through and/or fulfilling advertisements disseminated through emails or websites with a proprietary currency and trading floor. The rewards may be exchanges on the trading floor for coupons, goods, services and actual cash.

Abstract: The claimed subject matter provides a system and/or a method that facilitates establishing a true market value for an online advertisement. An interface component can receive data related to at least one of a spot market or a future market. A dynamic pricing component can dynamically establish an ad price for an ad unit based on the spot market and the future market, the ad price reflects a market value of the ad unit in accordance with the spot market and the future market.

Abstract: Embodiments employ knowledge from network searches to enrich features useable to describe an advertisement. Advertisement content may be segmented to generate key phrases that are rank ordered based on a phrase's pointwise mutual information value with Ad keywords and term frequency-inverse document frequency (TF-IDF) scores. These key phrases are employed to generate a plurality of query searches that are performed to generate a plurality of search result snippets. The snippets are then analyzed and ranked to identify query expansion features having a TF-IDF value over a given threshold. A subset of these ranked phrases are combined with the Ad keywords to be used to rebuild an Ad index for the given advertisement. When content is to be delivered to a client device, content keywords are compared to the Ad index to select an advertisement to be provided with the content to the client device.

Abstract: In one aspect, a computing apparatus is configured to profile the spending distribution of users who have made purchases from a merchant and who have paid for the purchases via a transaction handler (e.g., using credit cards, debit cards, prepaid cards). The spending distribution is determined based on transaction data of the users, where the transaction data records the transactions of the users for purchases from various merchants. The spending distribution is profiled to indicate the preference of the customers of the merchant as a whole and thus can be used to customize the ratio of media content provided to the customers of the merchant, such as the presentation ratio of advertisements from different merchants, or from merchants of different categories.

Abstract: In an embodiment, a data processing method comprises receiving, from a first computer, and storing at a service provider computer, a copy of a non-natively-executable computer program; generating and distributing a download link that is configured, when activated, to cause downloading of a dynamically generated natively executable installer program from the service provider computer; receiving a request based upon the download link, and in response, the service provider computer generating a natively executable installer program that comprises the non-natively-executable computer program file and, optionally a player or other support software and/or one or more bundled external software offers, and providing the installer program to the end user computer; receiving, from the installer program, a request for the non-natively-executable computer program; providing the non-natively-executable computer program from the service provider computer to the end user computer; and the method is performed by one or more

Abstract: In one aspect, a computing apparatus is configured to profile the spending distribution of users who have made purchases from a merchant and who have paid for the purchases via a transaction handler (e.g., using credit cards, debit cards, prepaid cards). The spending distribution is determined based on transaction data of the users, where the transaction data records the transactions of the users for purchases from various merchants. The spending distribution is profiled to indicate the preference of the customers of the merchant as a whole and thus can be used to customize the ratio of media content provided to the customers of the merchant, such as the presentation ratio of advertisements from different merchants, or from merchants of different categories.

Abstract: A system and method are disclosed for analyzing return on investment (ROI) for social commerce interactions. User data associated with a target group of social media users is collected and processed to generate a first set of social commerce metrics. The user data comprises a first set of social media interaction data corresponding to a first set of social commerce interactions with the target group of social media users. The user data is further processed to generate a second set of social commerce interactions, which are then performed. The performance of the second set of social commerce interactions generates a second set of social commerce interaction data, which in turn is processed to generate a second set of social commerce metrics. The first and second sets of social commerce metrics are then processed to generate social commerce ROI metrics.

Abstract: System and methods are presented for selecting advertising slots in an advertising campaign with an audience management system. In some embodiments, a user selects a budget value, which is partitioned into a first and second partition value. The audience management module stores a plurality of data structures in a memory, and defines a plurality of groups such that each of the plurality of data structures is associated with one of the plurality of groups. A portion of the first partition value is allocated to each of the plurality of groups, and the audience management module flags, for each group, at least one data structure based on the portion of the first partition value allocated to the group. The audience management module identifies a subset of unflagged data structures, and flags at least one data structure based on the second partition value.

Abstract: A method and system for dynamically responding to advertisement reactions of a user in social network that includes serving an initial advertisement to a user of a social network; gathering a response action of the user associated with the initial advertisement; categorizing a quality of the response action of the user; creating an advertiser response based on the quality of the response action; and sending the response to the user.

Abstract: The invention is a digital information display system (10), comprised of an electronically controlled display (20), usually used to display advertising, A video camera (30) is used to detect one or more viewers in the audience who are paying attention (100) to the display (20), and if so which part of the display (30). Based on which part of the display has the viewers attention, the advertising displayed is adjusted in real-time and based on the viewer analysis to promote continued attention from the viewer. It is an advantage of the invention that the display is able to continuously present relevant advertising content, and with reduced delay, to an audience by using its passive observation and analysis capabilities.

Abstract: Systems and methods are disclosed for providing a financial account with incentives. In one implementation, a method is provided that includes receiving a selection of at least one identified merchant from a customer, the customer being associated with the financial account. The method also includes providing a first incentive to the financial account for one or more purchases made with the financial account at a merchant other than the identified merchant. Further, the method may include providing a second incentive to the financial account for one or more purchases made at the identified merchant with the financial account, wherein the first incentive is different than the second incentive.

Abstract: A system and method for providing rules-based or algorithm-based automated response optimization in the email-marketing environment is provided. The system and method increases email open, click through, and fulfillment rates for its newsletter advertisers, national retailers, manufacturers, non-profits and the like (“Customers”). Individuals who receive emails from any of the Customers will become a Member through a simple enrollment process. The system and method rewards Members for opening, clicking through and/or fulfilling emails with a proprietary currency and trading floor. The rewards may be exchanges on the trading floor for coupons, goods, services and actual cash.

Abstract: An apparatus for advertising includes a photograph identification module, a photograph analysis module, a correspondence module, and an advertisement module. The photograph identification module identifies one or more photographs corresponding to a user of a social networking website. The photographs are stored by the social networking website and may include photographs uploaded by the user, photographs depicting the user, and/or photographs in which the user has been tagged. The photograph analysis module electronically analyzes the photographs to determine at least one characteristic of a person, object, and/or location depicted in the photographs. The correspondence module identifies a product and/or service corresponding to the characteristic, and the advertisement module sends an advertisement for the product or service to the user.

Abstract: The system provides an automatically targeted network for text and graphical advertising based on cost-per-action bidded pricing, wherein actions comprise any of acquisitions, purchases, downloads, registrations, donations, clicks, and impressions. Contextual, search and behavioral relevance features are integrated to optimize ad selection for advertisers, who enter action objectives, associated bids, and creatives or catalog assets. The assets are automatically analyzed and stored, and ads are automatically constructed for catalog assets. When an ad request is received from a user terminal in regard to a publisher asset, e.g. a web page, the ad request is matched to a stored contextual analysis of at least a portion the publisher asset if available, and preferably to a profile associated with the user of the user terminal. The best advertisements are determined, based upon a predicted response, and are then served, i.e. displayed, at the user terminal, based upon available ad space.

Abstract: The present application is directed to mobile commerce systems and methods for allowing users to interact with and share merchant content, such as coupons or advertisements, and for creating a customer index based on tracked consumer activity with the merchant content. In particular, the application is directed to allowing users to interact with and share merchant content through a mobile wallet or mobile application, and to creating a customer index that allows merchants to identify and access those customers that actively engage with merchant content and that can influence the sale of a merchant's products or services.

Abstract: Embodiments of the invention relate to generating an online marketing campaign that comprises a list of keywords to be purchased from a search engine. Keywords for a business' marketing campaign may be selected from a pre-defined template of keywords for the business service category into which the business falls. In addition, the business may add keywords not found in the template into its marketing campaign. The performance of the non-template keywords added by the business may be evaluated and, if they are determined to have been performed well, may be added into the template so that they may be used in the marketing campaigns of other businesses in the business service category.

Abstract: A data processing system for managing electronic offers, the system comprising: a first logic module adapted to receive a set of recommendation reference data comprising a plurality of items, the plurality of items including at least one product or service, and at least one offer; a second logic module adapted to determine a set of association scores for the plurality of items based on the recommendation reference data; and a third logic module adapted to select a recommended offer based on at least one association score. In an embodiment, the recommended offer is distributed in response to a request for a receipt. In an embodiment, the recommended offer is included in a transaction receipt transmitted to a customer data processing system. In an embodiment, at least one weight is modified based on feedback from an offer redemption, an offer activation, or a purchase.

Abstract: Advertisement vendors can be dynamically selected in response to a request from a wireless communication device. A mediation router can receive an ad request from a portal interfaced with a wireless device. Specifically, the mediation router analyzes the request and dynamically selects an ad vendor to service the request, based in part on the analysis. The selected ad vendor supplies the ad and the mediation router ensures that the portal receives the ad. The mediation router selects an ad vendor in a variety of ways including, but not limited to, business decision rules or artificial intelligence and/or a combination thereof. The mediation router further employs customer profiles that help vendors target advertisements to specific consumers and wireless devices.

Abstract: The present invention is directed to a method for optimizing the delivery of marketing offers. In an exemplary embodiment, an initial consumer offer is delivered to a consumer via an email service provider (ESP), that consumer's subsequent response to the initial offer, response information provided by the consumer, and response and tracking data are used to optimize and target additional offers to that same, and other, consumers.

Abstract: A social networking system generates metrics for one or more advertisements based on client device ownership. Social networking system users are identified as owners of client devices. For example, a social networking system user is identified as owning a client device if the user's user account was accessed using a native software application or a web browsing application associated with the client device. Exposures to one or more advertisements by the identified owners are determined and used to generate advertising metrics with respect to the client devices owned by the owners. The metrics may be segmented or organized based on various client device types.

Abstract: A method for selecting an advertisement (ad) to display in an ad spot, comprising: accessing a database documenting categories, each including at least one event item having geographical coordinates, an event occurrence time parameter and at least one descriptive parameter; receiving at least one theme definition selected for an advertising campaign; matching between the theme definition and at least one relevant category from the categories; assigning an ad from the advertising campaign to the relevant category according to the matching; receiving a message indicative of a location of a user at a specific time from a client terminal associated with the user; finding an event item corresponding to the location and time; selecting an ad from the relevant category which includes the corresponding event item; and sending the client terminal a response to the message, comprising instructions to present the ad on a display of the client terminal.

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: Systems and methods are disclosed for providing content in accordance with informational campaigns or advertisements administered by one or more distribution partners. the distribution partners typically revenue share with the system administrator (system owner), who coordinates the informational campaigns and sends electronic mails (e-mails) associated therewith. By applying a distribution optimization formula to various informational or advertising campaigns of the distribution partners, e-mails with links to these distribution partners will be sent to users, and each user who opens the e-mail and clicks on a portion of the e-mail over an underlying link, will be directed to the requisite distribution partner, typically the server associated therewith.

Abstract: A method and system for providing an advertisement customized to displayed content. The method comprises receiving a request to display at least one advertisement to be displayed along with a web object embedded in a webpage; searching a creative database for a data entry matching the web object designated in the request; selecting, using ad-selection rules, at least one advertisement associated with the matching web object, wherein each of the at least one selected advertisement satisfies at least one of the ad-selection rules; determining a timing, a location, an appearance animation associated with each of the at least one selected advertisement, the timing and the location respectively define when and where each of the at least one selected advertisement is displayed with respect to the web object; and generating a response encapsulating each of at least one selected advertisement and the respective timing, location, and the appearance animation associated therewith.

Abstract: A computerized recommender system and an associated computer-implemented method, which accumulate and analyze the information about various marketing actions for promoting brands as well as information about the subsequent brand performance within media channels. The channels include, but are not limited to web, blogs, social networks, search engines, contextual ad networks, email campaigns, and other promotional activities. Additional media channels can be added into the recommender system. The described recommender system enables the marketers to obtain custom advice for a given brand as to what should be the next most effective marketing actions to promote the brand.

Abstract: A digital brand asset system is provided enabling a brand owner to create, distribute, maintain, manage, merchandise and analyze smart brand assets. The system enables distribution and sharing of smart brand assets across the websites. The websites can host webpages containing codes representing the smart brand assets. When a user device retrieves a webpage from one of the websites and renders the webpage, it executes the codes and requests the content of the smart brand assets from a brand asset server. Through the brand asset server, a brand owner can control the content and the presentation of the smart brand asset hosted by the websites, based on various factors such as previous click through rates, aggregated shopper behaviors, geographical locations of the websites or website visitors, categorized types of websites, blacklist of websites.

Abstract: Media and methods are provided for creating and operating a keyword expression language. Syntax is generated as an abbreviation to represent a list of keywords. The syntax is executed as part of the keyword expression language to provide keywords. The syntax includes tokens that substitute for groups of information. Advertisers generate syntax which is subsequently used by a third-party to match to search queries and ads. The third-party may also generate keywords to match to the search queries and ads. The keywords are used to trigger advertising over the Internet.

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: In accordance with the teachings described herein, systems and methods are provided for optimizing distribution of advertisement information. In one example, call tracking data may be generated from a plurality of telephone calls made to a business entity, where the call tracking data includes geographical information to identify locations from which the plurality of telephone calls originated. A call distribution may be determined from the call tracking data, where the call distribution groups the call tracking data based at least in part on distances between the business entity and the locations from which the plurality of telephone calls originated.

Abstract: In a method for analyzing play results of advertisements in client computers using a server, the method receives play results of played advertisements in the client devices, collects total play results of the played advertisements in the client devices after a preset interval, and determines whether an unqualified advertisement whose play results do not match preset requirements is found in the server. The method further determines an updated advertisement played in the client devices when the unqualified advertisement has been found, and sends the updated advertisement to each of the client devices.

Abstract: Methods, systems, and apparatus for creating and managing user device interest lists for online content are provided. The method is implemented by a processor executing the instructions. The method includes providing a dynamic advertisement including a plurality of elements for display on a user device wherein each element of the dynamic advertisement is configured to receive a device interaction from the user device, receiving data representative of a device interaction with at least one of the plurality of elements, identifying an item based on the data received, and determining a marketing response based on the identified item.

Abstract: In online advertising, ad delivery optimization is derived from ad-words searches. A user performs a keyword search for a product or service. User interactions across multiple channels, e.g. phone, text, email, and so on, and multiple browsers that are used while conducting a search are analyzed to predict user intent. Based on the intent prediction, advertisements that are determined to be the most relevant are displayed along with the search results. The user then clicks through the ads to the websites that are most relevant to his search, for example to make purchases of goods and services.

Abstract: Apparatus and method for providing a marketing service are described. In one embodiment, a computer-readable storage medium includes: (1) a preferences module that is configured to collect a set of preferences of a user; (2) a monitoring module that is configured to monitor a web site based on the set of preferences so as to identify relevant content; and (3) a notification module that is configured to generate a message alerting the user of the relevant content.

Abstract: A censored observation for an online advertising campaign may be received for a first given time period. It may be determined that an amount spent on the online advertising campaign met a budget constraint such that the online advertising campaign was interrupted during the first given time period. Based on the received censored observation and one or more campaign parameters for the first given time period, a predictive model for predicting the result of a new online advertising campaign may be generated.

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.