597 results about "Online advertising" 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.

Various methods, systems and apparatus for associating fictitious user identities (e.g. screen names, user names, email addresses, handles, etc.) used in electronic communications (e.g. over the internet or mobile network via instant messenger, e-mail, social networks, ecommerce, auction websites, etc.) with real personal information (e.g. the true identity of an individual such as their name, address, credit score, driving record, mobile number, etc.) are disclosed. One such method may include discovering, verifying and storing real personal information, associated with fictitious user identities and email addresses. The method may further include allowing a remote user or service to submit a fictitious user identity and a query requesting real-user information associated with the submitted fictitious user identity. In one possible embodiment, a targeted-advertising service may utilize real user information, associated with a fictitious user name, to target advertisements at the user of the fictitious user name.

Sets of local, (e.g., online) ads may be generated by obtaining sets of information about (e.g., local) establishments, each set including a business address information and/or a telephone number, (b) determining, for each of the sets, a location using at least one of at least a portion of the business address information and at least a portion of the telephone number, and (c) generating, for each of the sets, an ad that includes targeting information that targets the serving of the ad to queries related to the determined location. A query, including information about a location of a client device, may be accepted and at least one of the generated ads that includes targeting information that targets the location of the client device may be determined.

Conversations in an online content universe are monitored. A conversation index is generated in social media. An individual conversation is defined by user-selectable input terms. Publishers that influence a conversation are identified. The system generates an influence ranking of site's that influence a particular conversation. The system permits ads to be placed on sites based on the sites influence on the conversation. The system can be updated to permit ads to be targeted based on current influence rankings. The influence ranking is used to perform online advertising targeting and placement. Additional marketing filters, such as demographics, historical performance, and return on investment, may be used to adjust an initial influence ranking based. The ad placement may also be expanded to include related conversations, inlinking sites, and/or outlinking sites.

Relevant content is prepared and selected for delivery to a member of a network based, in part, on prior online activities of the other members of the network, and the closeness of the member's relationship with the other members of the network. The relevant content may be an online ad, and is selected from a number of candidate online ads based on click-through rates of groups that are predefined with respect to the member and with respect to certain attributes. An online ad's revenue-generating potential may be considered in the selection process.

A system and method are disclosed for measuring online advertising. A system for verifying the accuracy of measured ad impressions is utilized by comparing traditional web access logs. Specifically, comparisons of ad impression counts are made of the Client Side Counting (“CSC”) advertisement infrastructure with the traditional access log counting.

An internet target marketing system, method, and computer program for distributing online advertising to viewers based upon the viewers' interests is provided. The system, method, and computer program may involve identifying one or more document-related concepts derived from analysis of content of a web document capable of being displayed to the user, identifying one or more advertisement-related concepts relevant to an advertising, comparing the one or more document-related concepts to the one or more advertising-related concepts to determine a relevance, and selecting the advertising based on the relevance.

Methods and apparatus for improving word-of-mouth online advertising are provided. Construct a social network including multiple users based on the users' social network data and optionally further based on the users' demographical and/or other personal information. Categorize the users in the social network with respect to a type of product in terms of their propensity to adopt the type of product and to influence others in the social network in adopting the type of product. Determine appropriate content object(s) for each category of users, and send the content object(s) to each category of users via different channels at the appropriate time during the product's lifecycle.

A system and method for determining and identifying clusters/kernels of linkings in communities of online users. The analysis is based at least in part on an entropy analysis, such as by dividing a population into cyber neighborhoods, which can be geographic based and/or logically related.

A system and method for improving the effectiveness of web advertising by allowing a user to return and request a previously displayed ad that appeals to the user. Generally, the system employs an intelligent browser cache maintained within a user's terminal to keep web pages in cache and maintain information about hyperlinks contained therein. Furthermore, the system allows for the storing of ads in a bookmark memory without clicking on the ads. The bookmark memory is either permanently maintained or temporarily stored for a predetermined time period at the user's terminal to allow the user view all the stored ads at a later time. The system further includes an algorithm for computing the differences between previously visited pages stored in the intelligent browser cache and a new page in terms of their hyperlinks. Presented to the user in separate windows are all the ads from both the old and new pages to aid the user in deciding whether to click and visit a different page or to save the displayed page for later use. Finally, the system permits the user to request for ads previously displayed at a particular position by pointing his mouse to the current ad at such a location.

In an on-line ad auction, bids for the right to display at least one advert on a display of a computer of a computer network in response to the bid being allocated a query received from the computer are received via a computer network. At a time t, at least one rule or decision variable for allocating queries to bids is determined based on the bids received before time t and an estimate of at least one of: an estimate of queries to be received after time t; an estimate of events to occur in response to the display of adverts after time t; and/or an estimate of bids to be received after time t. After time t, a query received from the computer is allocated to at least one of the received bids based on the at least one rule or decision variable.

A method of network merchandising incorporates contextual and personalized advertising with human input to deliver relevant retail offers to interested online consumers efficiently and intelligently. Catalog content from retailers is downloaded, semantically analyzed and merged. The merged content is filtered using machine- and human-generated specifications to produce a merchandisable universe of products (MUP). Marketers and publishers create and modify corner store ad units and specify product offers from the MUP to display in those units. Publishers deploy the ad units on their web pages. Compensation of publishers by retailers can use a pay-for-performance model. Users visit the publisher's pages, viewing the product offers in the rendered ad unit. Performance data related to context, history, network and geo-location, product attributes and product combinations is derived from server log files is used to dynamically optimize and refine product placement in real time, providing a highly personalized experience for the user.

An online advertising system and method permits a business or individual to create an online advertisement, market the advertisement on the internet or another communications network, and track online activity associated with the advertisement. The advertising system may include a series of websites (referred to as “area code local sites”) that provide a marketing distribution channel or network. The area code local sites may be used to provide one of the marketing channels for publication of an online advertisement created using the advertising system.

Location-blocking and identity-blocking services that can be commercially offered by a service promoter, e.g., a cellular service provider or a web advertiser. In the identity-blocking service, the service promoter may disclose the current physical location of a mobile subscriber (i.e., a cellular phone operator) to a third party (e.g., a web advertiser) subscribing to the identity-blocking service. However, the service promoter may not send any identity information for the mobile subscriber to the third party. On the other hand, in the location-blocking service, the service promoter may disclose the mobile subscriber's identity information to the third party, but not the current physical location of the mobile subscriber. Blocking of the mobile subscriber's identity or location information may be desirable for privacy reasons, to comply with a government regulation, or to implement a telecommunication service option selected by the mobile subscriber. However, in the case of the mobile subscriber requesting emergency help, the service promoter may not block identity and/or location information. Instead, the service promoter may send all such information to the emergency service provider (e.g., the police or a hospital).

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.

An improved system and method for predictive targeting in online advertising using life stage profiling is provided. A life stage profiling engine may be provided in an embodiment for generating a life stage profile for a user. A life stage profile may include a collection of events or a distribution of characteristics that may represent a life stage of a taxonomy of life stages that may be generated from online or offline events. The events and attributes may be categorized and assigned a probability that a user may belong to a particular life stage, and the life stage of a user may be determined using the assigned probabilities, for instance, by applying naïve Bayesian techniques. Predictive targeting may be applied, either online or offline, using life stage profiles to target users for receiving advertising, content, ecommerce offers or other electronic communications.

A system for engaging in online advertising and merchandising of products or brands in or through social networks, examples of which include MySpace.com and Facebook.com. Consumers select products that they are or may be interested in, and post them to a social network for feedback and voting. The items or products selected appear in the consumer's status update, and can be posted for viewing by their network of friends. By clicking on the link, the friends of the consumer can accept and visit the application. The application may then allow the friends to view the product or item selections on which the consumer is seeking feedback. The friends may submit comments or observations about the available selections, and also may be able to vote for the product or products that they prefer, or provide a rating on a particular product or products. All voting and comments may then be posted back to the consumer's social networking homepage, status update, and/or seller's product website along with the original message and link.