1932 results about "Ad serving" patented technology

A system, method, and computer program product for online advertising, including computing and dynamically updating a cost-per-click (CPC) value of an advertisement for an advertisement traffic source based on a variable; and automatically uploading and distributing the advertisement to the traffic source. The variable includes price, advertisement traffic source, and / or advertiser variableS. Further embodiments include dynamically updating an advertisement listing that has a cost-per-acquisition (CPA)-based value with associated CPC or cost-per-1000 (CPM) values; and distributing the advertisement listing to an advertisement distribution network that serves the listing based on the CPC or CPM values. The distribution network includes CPC-based, CPA-based, and / or CPM-based distribution networks. Further embodiments include determining a CPC value for a CPA-based advertisement; and placing the advertisement on an advertising network at the determined CPC based on a ratio of an expected number of conversions at a CPA value divided by a number of clicks at the CPC.

A personalized marketing architecture use real-time data and explicit customer input to augment marketing segmentation, analysis and video advertisement delivery. Customer behavior, preferences, and intentions are monitored and identified to present real-time video messages. Real-time data may be collected based on the customer's data access permission profile to provide messages on an in-home personal portal or on out-of-home display devices to provide personalized messages in public spaces.

Disclosed are methods for valuing and placing advertising segments on the basis of competitive bidding. Publishers having available ad space make that space (segments) available to an intermediary. The intermediary accepts bids from potential advertisers, ranks the bids and awards advertising segments to the bidders according to the rankings. Payments for the placement of advertising may be made on a per-display basis, or on a per click-through or per transaction basis for internet applications. Under these methods, virtually every advertiser will have some level of access to the available ad space. The intermediary continuously updates its lists of available ad space according to numbers and amounts of bids so that, over time, the lists themselves are representative of the rankings of the most popular ad space. The intermediary also continuously organizes and updates the advertising material it receives according to subject matter for access by potential consumers.

An advertising entity manages determinations, bidding, and / or billing for serving “generic advertisements” on a primary document. Generic ads are not for specific merchants or products; rather they lead users to a secondary document containing more specific information, product listings, and / or merchant listings. Such information and / or listings are determined to be relevant to a generic concept corresponding to the generic ad. For example, when a user selects a generic ad, they may be presented with a secondary document including product listings. If the user selects a merchant's product listing, then that merchant compensates an ad serving entity and / or a publisher of the primary document. Such management might include choosing or generating an appropriate generic advertisement creative for a potential advertising situation. A determination of whether or not to render a generic ad instead of one or more typical advertiser-managed ads may use an expected value of rendering the generic ad versus showing the advertiser-managed ad(s). The result of this determination may be reflected in a bid associated with the generic ad. Generic ads will often be useful for primary documents (e.g., Web pages) that are non-specific.

User distributed advertisements (UDA ads) facilitates insertion of manually selected ads into a document that is to be distributed (e.g., transmitted, published, and / or posted) such that the document is to be made available to other users. For example, manually selected ads can be inserted into an email to be sent to another user, a blog to be posted for viewing by other users, a message to be sent to another user, a message board entry to be posted for viewing by other users, a document published and made available to other users, etc. Hence, UDA ads provide a scaleable advertising platform that achieves at least some of the benefits of manual targeting. Charges might be assessed to the advertiser, perhaps subject to one or more conditions being met. Rewards might be provided to the user that inserts and / or distributes the UDA ad, perhaps subject to one or more conditions being met. Performance metrics of UDA ads might be determined and used for various purposes, such as later ad serving arbitrations. A user interface for advertisers to allow their ads to be UDA ad-enabled might be provided.

A system and method for combining the delivery of advertising with weather predictions that are limited in geo-graphical area and time, and hence which are much more precise but also more time sensitive than regular weather forecasts. The present invention is preferably implemented with “nowcasting”.

Keyword suggestions that are category-aware (and field-proven) may be used to help advertisers better target the serving of their ads, and may reduce unused ad spot inventory. The advertiser can enter ad information, such as a creative, a landing Webpage, other keywords, etc. for example. A keyword facility may use this entered ad information as seed information to infer one or more categories. It may then request that the advertiser confirm or deny some basic feedback information (e.g., categories, Webpage information, etc.). For example, an advertiser may be provided with candidate categories and may be asked to confirm (e.g., using checkboxes) which of the categories are relevant to their ad. Keywords may be determined using at least the categories. The determined keywords may be provided to the advertiser as suggested keywords, or may automatically populate ad serving constraint information as targeting keywords. The ad server system can run a trial on the determined keywords to qualify or disqualify them as targeting keyword.

Methods and systems for providing advertising content over the Internet through a hierarchical content-specific node structure and pricing advertising delivery over each node independently. Independent delivery and pricing allows an advertiser to pay more for advertisements delivered to a narrowly targeted audience likely to be interested in the goods or services offered by the advertising entity and to pay less for advertisements directed at a more general audience who may or may not have an interest in the goods or services offered. The less content specific the node is, the less targeted the advertisement will be, and therefore, the less valuable the advertisement will be to the advertising entity. Targeted advertising to multiple levels of content specific nodes is enabled.

The invention discloses a system used for constructing a user figure. The system comprises a data acquisition module used for acquiring the Internet surfing log data of a user, a data pre-processing module used for pre-processing the Internet surfing log data of the user, a data analysis module used for carrying out characteristic extraction for the Internet surfing log data after pre-processing to acquire attribute characteristics of the user, a data application module used for matching in a multi-dimensional database on the basis of label classification trained by an established multi-dimensional characteristic database according to the attribute characteristics of the user to acquire multi-dimensional attribute labels of the user, and a data business module used for constructing the user figure according to the multi-dimensional attribute labels. The system is advantaged in that the holographic multi-dimensional user figure can be constructed, and rapid precise advertisement delivery of service providers / enterprises / companies and consumption behavior recommendation of use groups can be satisfied.

In an Internet banner advertisement, a banner advertisement only selected by the user is extracted and displayed so that convenience for the advertisement sender side and convenience of a user's information collection are provided simultaneously. An advertisement delivery server transmits advertising area display information allowing a client terminal to display banner advertisements in an advertising area and, at the same time, it transmits category selection screen information for the client terminal to display a category selection screen for selecting categories of advertisements. The client terminal displays banner advertisements in the advertising area and, at the same time, it displays the category selection screen. When categories are selected in the category selection screen, the client terminal transmits the categories selected to an advertisement delivery server. The advertisement delivery server extracts banner advertisements that belong to the selected categories received from the client terminal, and it transmits the banner advertisements to the client terminal. The client terminal updates the banner advertisements in the advertising area.

Documents or document sets may be scored to reflect a value of an action, such as a selection for example, when an ad is served with the document (or a document belonging to a document set). A cost associated with the action with respect to an ad that was served with a document may then be adjusted using the score. For example, ad scores may be accepted or determined, and a document may be scored using the ad scores when served with the document and ad scores across a collection of documents to generate a document score. Each of the ad scores may indicate a value of an action with respect to an ad, such as a conversion rate, or a return on investment for an ad selection for example. Document scores used in this way may help advertisers get a more consistent cost per conversion, or return on investment, without requiring them to enter and manage various offers for various documents and / or various ad serving systems having various conversion rates or returns on investment.

To help customers make purchasing decisions, metrics can be measured and displayed to a user. In one embodiment, the metrics displayed include at least a portion of a measured metric over a first period of time, at least a portion of a current metric, and at least a portion of a projected future metric over a second period of time. In one embodiment, a system receives information relating to a target audience or advertisement delivery preferences of an advertiser. The system can display to the user an interface comprising a chart showing at least some historical impressions over a first period of time, at least some current impressions, and at least some projected future proposed impressions over a second period of time. In one embodiment, the user can use the interface to purchase and / or to bid for advertisement placements.

To help advertisers to manage their online advertising, some business metric, such as ROI, profit, gross profit, etc., may be estimated and / or tracked with respect to an ad campaign, or a portion of the ad campaign. An advertiser may provide a business metric target, such as a target ROI, a target gross profit, a target profit, etc. An ad delivery system may then adjust information in an ad campaign (or a portion of an ad campaign) in an effort to meet the target. Similarly, an advertiser may provide a goal, such as maximizing or minimizing a business metric. The ad delivery system may then adjust information in an ad campaign (or a portion of an ad campaign) in an effort to meet the goal. The targets or goals may be subject to one or more constraints. The advertiser may provide limits on values of one or more business metrics. The ad delivery system may then turn off, or govern, the delivery of ads if the limits are violated.

To help advertisers to manage their online advertising, some business metric, such as ROI, profit, gross profit, etc., may be estimated and / or tracked with respect to an ad campaign, or a portion of the ad campaign. An advertiser may provide a business metric target, such as a target ROI, a target gross profit, a target profit, etc. An ad delivery system may then adjust information in an ad campaign (or a portion of an ad campaign) in an effort to meet the target. Similarly, an advertiser may provide a goal, such as maximizing or minimizing a business metric. The ad delivery system may then adjust information in an ad campaign (or a portion of an ad campaign) in an effort to meet the goal. The targets or goals may be subject to one or more constraints. The advertiser may provide limits on values of one or more business metrics. The ad delivery system may then turn off, or govern, the delivery of ads if the limits are violated.

Ads are scored using, at least, user information and information associated with a user request, such as a search query or a document request. The scores may be used in determining whether to serve ads, how to serve ads, to order ads, to filter ads, etc. Items of user information, request-associated information, and / or ad information can be weighted based on previous uses of such information in the serving of ads and the performance of those served ads.

User distributed advertisements (UDA ads) facilitates insertion of manually selected ads into a document that is to be distributed (e.g., transmitted, published, and / or posted) such that the document is to be made available to other users. For example, manually selected ads can be inserted into an email to be sent to another user, a blog to be posted for viewing by other users, a message to be sent to another user, a message board entry to be posted for viewing by other users, a document published and made available to other users, etc. Hence, UDA ads provide a scaleable advertising platform that achieves at least some of the benefits of manual targeting. Charges might be assessed to the advertiser, perhaps subject to one or more conditions being met. Rewards might be provided to the user that inserts and / or distributes the UDA ad, perhaps subject to one or more conditions being met. Performance metrics of UDA ads might be determined and used for various purposes, such as later ad serving arbitrations. A user interface for advertisers to allow their ads to be UDA ad-enabled might be provided.

An advertisement for use with an online ad serving system may be automatically checked for compliance with one or more policies of the online ad serving system. If the advertisement is approved, then it is allowed by be served by the ad serving system. Follow up checks of the advertisement may be scheduled. One follow up check may be to test a landing page of the advertisement for compliance with policies. If the advertisement is not approved, hints for making the ad comply with one or more violated policies may be provided to an advertiser associated with the ad, and / or an ad serving system customer service representative. Determining whether or not to approve the advertisement may include determining violations of one or more policies by the advertisement, and, for each of the violations, determining whether or not to exempt the violation.

To improve monetization of electronic advertisement placement, a profile owner company operates an automatic system for identifying media properties that have interests in specific profiles or profiles of a specified category or kind. The profile owner recognizes a collected visitor profile as one that a media property has previously requested or one that is within a category that a media property has previously requested and arranges for the visitor to be tagged with a tag readable by the media property that requested such a profile. The media property can use the tag in displaying customized advertising to the visitor. Using information received from the media property, the profile owner company then records usage of the profile by the media property.

A system comprises an advertiser coupled to a network and having a web property to advertise; an advertisement campaign management system coupled to the network, the advertising campaign management system having a geographically distributed set of servers for storing an advertisement for the web property, criteria indicating when presentation of the advertisement is desired by the advertiser, and a bid for the presentation of the advertisement when the criteria are met; and an advertising channel coupled to the network for requesting ad content from the advertisement campaign management system and for receiving the advertisement from the advertisement campaign management system in response to the request for ad content.

Methods and systems for managing advertisement (ad) delivery and ad inventory for advertisements (ads) placed in video content are provided. An exemplary method receives campaign criteria for a new advertising campaign, the campaign criteria including at least a desired date range. The method then retrieves indications of unsold ad space inventory. In response to determining, based at least in part on the unsold ad space inventory in the desired date range, that the campaign criteria cannot be satisfied, the method: renders, in a user interface, an interactive ad delivery and distribution report indicating forecasted ad distribution and ad delivery for at least part of the desired date range during which the campaign criteria cannot be satisfied; and redistributes ad delivery by adjusting an ad delivery plan based on adjusted report parameters received via the interface in order to accommodate the new advertising campaign.

The invention provides an Internet advertisement serving system, which is characterized by comrpising an obtaining device, a click rate predicating device and an advertisement serving device, wherein the obtaining device is used for obtaining a list of advertisements to be delivered; the click rate predicating device is used for predicating the click rate of each advertisement to be delivered at least according to attributes of visitors, attributes of advertisement places or advertisement attributes; and the advertisement serving device is used for delivering the advertisements to be delivered according to relevant information predicated by the click rate predicating device. The invention further provides an Internet advertisement serving method. The Internet advertisement serving system and the method, disclosed by the invention, can improve the effect of Internet advertisements, save the cost of advertisers, and simultaneously, increase the value of the advertisement places.

The present invention provides an ad placement system for superimposing advertising content onto video games, comprising: a. networked game playing means having access to a video game; b. object identification means having access to visual output of a plurality of game playing iterations of said video game; c. means for obtaining real-time visual captions; d. object tracking means; e. means for superimposing a stream of remotely stored advertising content onto said objects, in networked connection with said game playing means; f. emulation means that superimposes an invisible, click, touch or event enabled emulation layer on top of said visual output from said video game;

A network-based processing server for processing statistics and serving advertisements includes a first network interface to a first stat server for receiving consumer statistics, a second network interface to a second stat server for receiving response capability statistics, and a dedicated input / output port connecting the processing server to a broadcast network. The processing server selects and serves advertisements over the broadcast network to consumers positioned to receive the advertisements based on the processing of consumer statistics and advertisement response capability statistics against at least one rule.

A method of trading a future right to a keyword advertisement placement associated with a search results list, wherein the search results list is generated in response to a search query. The method includes creating ownership of the future right to the keyword advertisement placement in an original keyword search engine. Next, the future right to the keyword advertisement placement originally owned by the original keyword search engine is made available for purchase in a keyword advertising market. Then, the future right to the keyword advertisement placement originally owned by the original keyword search engine is traded to another participant in the keyword advertising market.

This invention concerns optimal ad selection for Web pages by selecting and updating an attribute set, obtaining and updating an ad-attribute profile, and optimally choosing the next ad. The present invention associates a set of attributes with each customer. The attributes reflect the customers' interests and they incorporate the characteristics that impact ad selection. Similarly, the present invention associates with each ad an ad-attribute profile in order to calculate a customer's estimated ad selection probability and measure the uncertainty in that estimate. An ad selection algorithm optimally selects which ad to show based on the click probability estimates and the uncertainties regarding these estimates.

An advertising placement processing method and system enabling the information placement application process to be accomplished over the Internet, the system being a system for placing various information, including advertisements, introductions, event announcements, help wanted ads, looking to buy notices, announcements, and requests for assistance, on receipts issued from a POS terminal, vouchers issued by a kiosk terminal, and queuing number tickets issued from queuing number issuing devices in banks, for example. Information relating to the advertising application, advertising information, and advertising fee payment information is sent from a client PC via the Internet to a server system; the server system calculates fee information according to the received advertising information, and sends it via the Internet to the client PC. After confirming completion of the payment process, the server system sends the advertising information to a central system, and the central system distributes the received advertising information to the plural POS systems connected to the central system. A store POS system that receives the advertising information prints the advertising information together with the transaction information for the purchased products on the receipt issued during the customer purchase transaction process.

The invention discloses an advertisement injecting effect evaluation and intelligent push decision method based on face identification and big data analysis. The advertisement injecting effect evaluation and intelligent push decision method comprises a face identification technology is employed to obtain face feature data of the audience group, and the data is introduced into an advertisement injecting effect evaluation module as parameters, and is used for quantifying the advertisement injecting effect; furthermore, historical data is stored in a database, a data analysis system can carry out further analysis, the analysis result can be provided for the advertiser as an injecting decision reference, and can also be provided for the advertising agency who can carry out reasonable bidding and charging on the advertising position. At the same time, an FAEM matching algorithm is employed to match the advertisement played at present with audience face feature data at present, and advertisement push is carried out in dependence on the matching result. According to the invention, accurate evaluation of the advertisement injecting effect can be given out scientifically and objectively, and advertisements can be injected selectively and intelligently in dependence on audiences of the advertisements.

An automatic system facilitates selection of media properties on which to display an advertisement, responsive to a profile collected on a first media property, where a behavioral-targeting company calculates expected profit for an ad correlated with the profile and arranges for the visitor to be tagged with a tag readable by the selected media property. The profit can be calculated by deducting, from the revenues that are expected to be generated from an ad delivered based on the collected profile, at least the price of ad space at a media property where the BT company might like to deliver ads to the profiled visitor. When the calculated profit is positive (i.e., not a loss), the BT company arranges for the visitor to be tagged with a tag readable by the selected media property through which the BT company expects to profit.