Abstract: Advertisements are selected for presentation on search result pages and web pages based on phrases generated from lateral concepts and topics identified for the search result pages and web pages. A search query or an indication of a web page is received for which advertisements are to be provided. Lateral concepts and topics are identified based on the search query or content of the web page. The lateral concepts and topics are used as phrases for selecting advertisements from an advertisement inventory. Selected advertisements are provided for presentation on a search results page in response to a search query or on a web page initially identified.

Abstract: A method for determining advertising effectiveness of cross-media campaigns provided. The effectiveness of the combined campaign is plotted, and the effects of different media are isolated. Examining complementary effects and synergies are examined, and a dollar-for-dollar comparison for each of the media is performed. This dollar-for-dollar comparison may include a return on marketing objective calculation. If applicable, budget re-allocations are recommended. Optionally, post effectiveness, efficiency, and allocation analysis are performed. Such analysis may include providing descriptive advertising and media suggestions on each media independently.

Abstract: A system and method provide advertisement campaign information about an advertisement campaign to an advertiser. The system includes means for organizing advertisement campaign information into one or more ad groups and a web interface to receive advertiser inputs and provide a visual report including the advertisement campaign information to the advertiser. The system further includes a campaign data store configured to store advertisement campaign account data and a reporting system to produce the visual report about performance of the advertisement campaign. The visual report is based on the organization of the advertisement campaign information into the one or more ad groups.

Abstract: A system and method provide advertisement campaign information about an advertisement campaign to an advertiser. The system includes means for organizing advertisement campaign information into one or more ad groups and a web interface to receive advertiser inputs and provide system alerts about the advertisement campaign information to the advertiser. The system further includes a campaign data store configured to store advertisement campaign account data and an alerting system to produce the system alerts about performance of the advertisement campaign.

Abstract: The present invention provides techniques that include providing a unified metric for use in advertising campaign performance measurement and evaluation. An advertising campaign may include many aspects, such as portions associated with particular channels and service-providers. Different metrics may be used in measuring performance for particular channels, such as impressions, conversions, etc. Techniques are provided that translate performance of an overall campaign, as well as performance of particular aspects, into terms using a single unified metric measure. Unified metric measures can be used to easily compare campaigns and channels, whether of the same advertiser or against competitors campaigns.

Abstract: A computer implemented method for producing a promotion list for a promotion management campaign is described. The method includes assigning one or more promotion instances to the promotions list, and storing the promotion list in an electronic medium.

Abstract: A technique is taught that improves how an organization engages with customers. In an embodiment, keywords are discovered to optimize for, and to integrate with, advertising systems to advertise a company website. A set of advertisements is created that improve the click-through rate from users. A optimized landing page experience is created to provide a best user experience to drive issue resolution and sales.

Abstract: In relation to an entity such as a business having customers, a determination is made of at least one incremental satisfaction improvement value associated with increasing customer satisfaction of at least one customer by a fixed increment relative to a satisfaction scale. Based on the at least one incremental satisfaction improvement value, decision support data corresponding to a plurality of customer satisfaction improvement techniques is then determined, which decision support data may be presented in any desirable manner such as on a display device.

Abstract: A process identifies multiple campaign activation points associated with a voice-based menu hierarchy such that the voice-based menu hierarchy is accessed by multiple callers. The process continues by identifying a campaign associated with the voice-based menu hierarchy and determining a campaign value associated with the campaign. Additionally, the process determines an opt-in rate associated with the campaign and determines a likelihood that callers will reach each campaign activation point. A score associated with the campaign is then calculated for each campaign activation point.

Abstract: A method, apparatus, and computer-readable medium estimate media performance on advertising space inventory. The method selects at least one media cell that shares one or more common attributes with a target media cell. The method subsequently estimates mean revenue per impression (RPI) of the selected media cell, and then defines an initial estimate of a RPI of the target media cell based on the estimated RPI of the selected cell. The method computes the RPI of the target media cell by combining the initial RPI estimate for the target media cell with performance data associated with the target media cell.

Abstract: Techniques are provided for integrated and comprehensive advertising campaign management and optimization. Techniques are provided in which advertisers, including large-budget advertisers such as Chief Marketing Officers, can easily, efficiently and optimally define, manage and implement advertising budgets and campaigns, from high to granular levels, across a variety of online and offline channels. Techniques are provided, for example, in which a visualization tool is provided to advertisers, through which visualization displays can be caused to be generated, which displays provide visual analytics that can be used in assessing aspects of performance of an advertising campaign.

Abstract: Techniques are provided for integrated and comprehensive advertising campaign management and optimization. Techniques are provided in which advertisers, including large-budget advertisers such as Chief Marketing Officers, can easily, efficiently and optimally define, manage and implement advertising budgets and campaigns, from high to granular levels, across a variety of online and offline channels. Techniques are provided, for example, in which advertisers, with a single selection, can select, for implementation, all of or a portion of an advertising campaign.

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: A system uses neuro-response information to evaluate content within a cluster, such as commercials in a pod, advertisements in a frame, or products on a shelf, to determine priming characteristics associated with each pieces of content within the cluster. The priming characteristics and other data are combined to obtain blended attributes. The blended attributes are correlated with each piece of intracluster content to allow intelligent management including selection, arrangement, ordering, presentation, and/or scheduling of intracluster content. Intracluster content may also use priming characteristics associated with extracluster content to further improve management.

Abstract: For use in a wireless communication network, a method and system for targeting advertising for a mobile device is provided. The method includes receiving a plurality of advertisements from an advertising distributor. The method also includes filtering the advertisements based on meta data for each advertisement. The method further includes receiving ratings of the advertisements from a plurality of mobile devices. The method also includes further filtering the advertisements based on an end user profile and the ratings from the plurality of mobile devices. The method still further includes transmitting a selected advertisement to the first mobile device.

Abstract: Some embodiments of the present invention provide a system that facilitates interaction with a user of a computing device. During operation, the system obtains user input from the user through a user interface of the computing device. Next, the system updates, based on the user input, a dynamic cursor area proximate to a cursor in the user interface to provide functionality-based feedback to the user at a location where the user is likely to be looking.

Abstract: Methods and apparatuses to provide user interfaces dynamically customized according to partners through which the user interfaces are accessed in a customer acquisition process. One embodiment includes providing to a plurality of entities a platform, configured to assign references for embedding in listings for presentation and configured to connect people for real time communications according to the references embedded in the listings, the references to be used to request the platform to provide the connections; responsive to a request received via a first entity of the plurality of entities, presenting a user interface of the platform in a first format to identify the first entity; and responsive to a request received via a second entity of the plurality of entities, presenting the user interface of the platform in a second format to identify the second entity.

Abstract: A method analyzes preferences of one or more participants. Each of the participants may be presented with a plurality of evaluation items that illustrate various marketing options. Response data from the participants that indicates at least an approach, if any, toward the evaluation items is obtained. An approach entropy value may be generated for the marketing options based on the response data for each participant. A relative preference order for each participant for the marketing options may be determined from the generated approach entropy values.

Abstract: A method and apparatus for spawning and management of online surveys is provided. An administration and redirector subsystem (ARS) is used manage ongoing surveys for a plurality of sites. Surveys can be added to or removed from individual sites using the ARS. The ARS also tracks statistics for individual surveys. Redirector tags invite users to participate in surveys and track user survey participation through cookies. The system can be used to conduct advertisement effectiveness studies. Tracker tags and corresponding cookies are used to track users who have viewed content containing the tag. Each study is issued a unique content tag, but uses the same redirector tag.

Abstract: A machine-controlled method can include estimating expected conversion rates for ads by applying an estimated conversion rate statistical model to each ad, estimating an expected AOV for each ad by applying an estimated AOV statistical model to each ad, applying an inference algorithm, and determining auction bids based on the estimated expected conversion rate and the estimated expected AOV for the ads.

Abstract: A system, computer program product and method described herein may be used to determine an effective medium by which to deliver promotions. For example, the method may include delivering a promotion to a customer, and determining a status of the delivered promotion. The promotion may be delivered through an electronic or hard delivery medium, and the status of the delivered promotion may be determined based on electronic feedback from the customer or based on predetermined status criteria assigned to the promotion. An effective medium by which to deliver subsequent promotions may be determined based on the status of the delivered promotion. Subsequent promotions may be delivered using the determined effective delivery medium.

Abstract: Systems and methods are described that select advertisements for placement on a series of consecutively-accessed web pages, such as consecutively-accessed web search results pages generated in response to a particular search. The systems and methods perform a separate advertisement ranking process to select advertisements for placement on each web page in the series of consecutively-accessed web pages at the time the web page is accessed. For web pages that follow the first web page in the series, the systems and methods utilize an advertisement ranking technique that calculates a probability that a user will select an advertisement based on certain user selection feedback features. The user selection feedback features for an advertisement are determined by comparing attributes of the advertisement to attributes of user-selectable items that were presented on one or more of the previously-accessed web pages in the series that are known to have been selected or not selected by the user.

Abstract: An advertiser may be provided with fast and accurate estimates of the future performance of at least one of their advertisements. These estimates may be broken down by keyword, thereby providing, up-front, useful information to the advertiser about how different keywords will affect the performance and cost of their ad campaign. Estimates and/or suggestions for a set of keywords, given additional campaign parameters, may be generated by using historical search traffic (or some other ad serving trigger) data to predict future inventory and to find useful keyword (or some other serving constraint) variations. Current data on competing ads may be used to simulate the competitions (e.g., real-time auctions) that the given ads will participate in.

Abstract: Methods of detecting, and providing a notification of, the existence of misinformation using usage patterns of a network service enable an organization to respond to the misinformation. The method includes establishing common usage patterns of the network service, identifying an irregular usage pattern, determining that the irregular usage pattern was caused by misinformation, and responding to the misinformation.

Abstract: A system uses neuro-response information to evaluate content within a cluster, such as commercials in a pod, advertisements in a frame, or products on a shelf, to determine priming characteristics associated with each pieces of content within the cluster. The priming characteristics and other data are combined to obtain blended attributes. The blended attributes are correlated with each piece of intracluster content to allow intelligent management including selection, arrangement, ordering, presentation, and/or scheduling of intracluster content. Intracluster content may also use priming characteristics associated with extracluster content to further improve management.

Abstract: Techniques are provided for integrated and comprehensive advertising campaign management and optimization. Techniques are provided in which advertisers, including large-budget advertisers such as Chief Marketing Officers, can easily, efficiently and optimally define, manage and implement advertising budgets and campaigns, from high to granular levels, across a variety of online and offline channels. Techniques are provided in which advertiser target customer profile templates, publisher audience segment templates, and matching templates are generated, modified, stored, selected and utilized to efficiently optimize advertising campaigns, including inventory matching, leading to increasing campaign effectiveness, reduced and more effectively spent campaign management time, and increased ROI.

Abstract: Techniques are provided for integrated and comprehensive advertising campaign management and optimization. Techniques are provided in which advertisers, including large-budget advertisers such as Chief Marketing Officers, can easily, efficiently and optimally define, manage and implement advertising budgets and campaigns, from high to granular levels, across a variety of online and offline channels. Such channels can include Web, mobile, social networking, etc., as well as traditional advertising channels such as TV, radio, etc. Techniques are provided, for example, in which advertisers, with a single click or selection, can cause implementation of a customized, optimized and comprehensive online and offline advertising campaign.

Abstract: Counterfactual analysis can be performed “offline”, or “after the fact”, based on data collected during a trial in which random variations are applied to the output of the system whose parameters are to be the subject of the counterfactual analysis. A weighting factor can be derived and applied to data collected during the trial to emphasize that data obtained when the random variations most closely resembled the output that would be expected if counterfactual parameters were utilized to generate the output. If the counterfactual parameters being considered differ too much from the parameters under which the trial was conducted, the offline counterfactual analysis can estimate a direction and magnitude of the change of the system performance, as opposed to deriving a specific expected system performance value. In economic transactions, the random variations can be considered variations in the price paid by another party, thereby enabling derivation of their marginal cost.

Abstract: A software-implemented method for delivering advertising presentations in a wide area network (WAN) based on Voice Recognition analysis is described. Data captured through Voice Recognition and other analysis is used to determine which calls contain “success events.” These “success events” are typically sales or other forms of revenue-generating end-user actions. Calls which include “success events,” are grouped into a database, and data in that database is used to determine optimal placement of forthcoming advertising presentations, to maximize the yield of “success events” per every 1,000 advertising presentations shown to end-users. The result is a continuously optimizing method for advertising display across a portfolio of available advertising choices, tied to “success events” identified in the calls themselves.

Abstract: Techniques are provided for integrated and comprehensive advertising campaign management and optimization. Techniques are provided in which advertisers, including large-budget advertisers such as Chief Marketing Officers, can easily, efficiently and optimally define, manage and implement advertising budgets and campaigns, from high to granular levels, across a variety of online and offline channels. Techniques are provided that include allowing advertisers or publishers to simulate implementation of an advertising campaign, which can include selecting and utilizing target customer, audience segment, and matching profiles. Tools are provided for viewing outcomes and results, which can aid and inform advertising campaign planning and purchasing.

Abstract: A system and method for recommending targeting attributes for advertising campaigns are provided. The system and method comprise receiving at least one advertizing campaign, receiving historical targeting data and historical click-through data, selecting a machine learning model, and determining recommended targeting attributes for the advertising campaign using the machine learning model and the received data. The machine learning model may be a collaborative filtering model or a performance oriented model. The collaborative filtering model may rely on matrix factorization or Boltzmann Machines. The performance-oriented model may rely on a local regression.

Abstract: A search request is received from a user and the user's context is determined. A publisher is determined for the search request. Candidate advertisements are retrieved from at least one advertisement database to create an advertisement candidate pool, the retrieving based on the user context and the search request. A set of advertisements are selected from the advertisement candidate pool. A georelevance is determined for each of the set of advertisements. The set of advertisements is sorted, wherein the advertisements are sorted based on, at least in part, the georelevance of each of the set of advertisements. The sorted set of advertisements is then transmitted to the user.

Abstract: Systems and methods for placing ads in a block on a webpage are disclosed. Generally, two ranking models are trained using a first and second ads data set. The first model predicts a first click probability for each ad in the first ads data and rank the ads based on the eCPM. The second model is trained using the second ads data set comprising a subset of the first ads data set and interaction features related to ad position in the block. The second model predicts a second click probability for each ad in the second ads data set. An overall expected revenue for each arrangement of ads in the second ads data set is then calculated. The computer system selects the arrangement with maximum computed overall expected revenue and places the ads in the block on the webpage according to the selected arrangement.

Abstract: Systems and methods are provided for dynamically ordering advertisements received from at least one advertisement supplier. In one embodiment, a method includes sending a request to at least a first advertisement supplier; receiving one or more advertisements from the at least first advertisement supplier; identifying a prioritizing parameter associated with each of the one or more advertisements; and dynamically ordering the one or more advertisements from the at least first advertisement supplier into two or more positions of a response based on the prioritizing parameter.

Abstract: The disclosed computer system provides a selectively programmed Web architecture that implements a procedure and method for selectively serving to a Web page one or more electronic ads wherein the selection process is governed in part by application of a statistical algorithm. In a preferred embodiment of the inventive technology, the system manages and serves electronic ads for affiliated Web page publishers and advertisers. A computer-implemented method in accordance with the disclosed technology receives a request for an electronic advertisement for a Web page, wherein the Web page is associated with a Web page publisher, one or more electronic ads are selected using a statistics based approach, and the one or more electronic ads are communicated to the Web page for display.

Abstract: Provided is a system and method for adjusting a number of advertisement inventories based on a competition factor. An advertisement inventory adjusting system includes a competition determining unit to determine a competition factor for a keyword, an advertisement inventory adjusting unit to dynamically adjust the number of advertisement inventories based on the determined competition factor, and a data storage medium to store advertisement inventories. A method that uses a processor to adjust a number of advertisement inventories includes determining a competition factor for a keyword advertisement with respect to a keyword, and dynamically adjusting, using the processor, the number of advertisement inventories based on the determined competition factor, in which the advertisement inventories refer to available areas to display the keyword advertisement.

Abstract: Computer-readable media and a computer system for correcting bid estimates that are calculated from stored data encompassing an incumbent customer's participation in a keyword auction are provided. Initially, input criteria is received, which includes customer-history data and a candidate position, within a ranking of incumbent customers competing to display an advertisement, that is attractive to the incumbent customer. A corrected rank model of the competing incumbent customers' ranking is generated, which effectively discounts the stored data related to the incumbent content provider. The corrected rank model is utilized to predict an adjusted average position of the incumbent content provider, within the ranking of the competing incumbent customers, without physically extracting stored data associated therewith. A corrected price model that ignores the influence of the incumbent customer's participation in the advertising auction is then constructed.

Abstract: A method for managing online advertising placements includes associating a plurality of textual metadata tags with at least one advertising placement, and generating a bid recommendation for the at least one advertising placement associated with the plurality of textual metadata tags.

Abstract: A system comprised of a Tool Bar equipped with the ability to: a) encrypt emails that are sent to computer users who must download and maintain a copy of the Tool Bar to receive the encryption keys needed to decrypt emails; b) display Advertisements in an area of the Tool Bar designed to support text, graphics and video advertisements; c) display various multi-media sessions that allow the user to watch Internet videos, listen to Internet music, read RSS content and engage in other Internet media applications; d) carry out a process by which the computer user can install the Tool Bar in a number of computer applications. e) carry out a process by which the video, radio and RSS functions of the Tool Bar can be continuously viewed as the user moves between software applications.

Abstract: In one implementation, a campaign manager sends content including advertising related to an advertising campaign to two or more media formats or media types. A consumer engagement score is derived from the user engagement scores associated with the media formats or media types. The consumer engagement score is compared with a target engagement score to determine whether and how to continue the advertising campaign with the particular consumer or set of consumers. Tracking of the advertising campaign extends across media types such as digital television, mobile devices, and personal computers, and extends across formats such as live content, recorded content, interactive content, text messaging, and others.

Abstract: This paper presents a practical method for measuring the impact of multiple marketing events on sales, including marketing events that are not traditionally trackable. The technique infers which of several competing media events are likely to have caused a given conversion. The method is tested using hold-out sets, and also a live media experiment for determining whether the method can accurately predict television-generated web conversions.

Abstract: Methods, apparatuses and systems for providing one or more advertisements on a printout of a print job are provided. The advertisements are selected based on dynamic selection criteria.

Abstract: Systems and methods are provided for dynamically ordering advertisements received from at least one advertisement supplier. In one embodiment, a method includes sending a request to at least a first advertisement supplier; receiving one or more advertisements from the at least first advertisement supplier; identifying a prioritizing parameter associated with each of the one or more advertisements; and dynamically ordering the one or more advertisements from the at least first advertisement supplier into two or more positions of a response based on the prioritizing parameter.

Abstract: A system tracks the effectiveness of advertising across both on-line and off-line media. Users define advertisements that are part of an advertising campaign and include in the definition tracking identifiers such as telephone numbers and URL's. The system tracks inputs that are subsequently received in response to and generated by the various advertisements. The inputs contain tracking identifier information. The system correlates the tracking identifier information from the received user inputs with tracking identifier information entered upon definition of advertisements in the system. Thereafter, the system generates reports that illustrate the relative effectiveness of the advertisements in driving inputs.

Abstract: An ad placement system provides functionality for users to rate advertisers associated with particular ads they view, and/or to rate particular ads. The ratings supplied by individual users in association with a given advertiser are used by the system to generate an average or other aggregate rating for the advertiser. This aggregate rating is exposed to users in association with the advertiser's ad or ads, allowing users to efficiently take the advertiser's reputation into consideration in deciding whether to click through or otherwise select such ads to access the advertiser's web page or site. For example, in one embodiment, each ad is displayed with a corresponding visual indication of the aggregate rating of the advertiser.

Abstract: Techniques are provided in which information is obtained regarding a set of one or more online advertisements. Information is also obtained relating to performance of advertisements of the set, including information regarding locations of user recipients of the advertisements and information regarding times of serving or receipt of the advertisements. Using the obtained information, an advertisement profile is built, relating to the set of advertisements, providing an indication of varying advertisement performance in connection with differing times of serving or receipt, and differing locations of user recipients. The advertisement profile may be used in selection or ranking of advertisements.

Abstract: Systems and methods for planning and booking advertising campaigns are provided. In operation, a booking engine generates a collection of proposed campaigns in response to a campaign request, where the each of the proposed campaigns corresponds to a scenario of atom availability. Such scenarios can account for possible or anticipated changes in the number and cost of atoms or any other changes of interest to the advertiser. The availability for the atoms in the campaign request can be projected using the past history and the known future unavailability of the atoms and is further modified to account for the variation in atom availability associated with each scenario. Thereafter, the booking engine can present the results for each scenario to the advertiser and allow him to select a campaign.

Abstract: A digital creative interaction system receives a request for creative briefs for the target consumer group from a client and determines parameters of the request for creative briefs. The digital creative interaction system issues the request for creative briefs to a plurality of sources. The digital creative interaction system, in response to issuing a request for creative briefs, receives creative briefs and corresponding bids. The digital creative interaction system deploys each of the creative briefs to the target consumer group and captures user behavior data responsive to the deployed creative briefs.

Abstract: Novel tools and techniques to optimize, from a merchant's perspective, the outcomes of interactions between the merchant and its customers (whether existing, new, or potential customers). In an aspect, certain embodiments allow for multiple variations of options (multivariate or A/B testing) and outcomes which can be statistically applied and then measured and analyzed for best economic impact or preferred outcome.

Abstract: Competitive content item serving is provided. Competitive content item serving can include the ability to receive a request for a content item and to compare an expected return for a first network content item to an expected return for a second network content item. Based upon the comparison, it can be determined whether to provide the first network content item to the publisher.