Abstract: In one aspect, a system includes a transaction handler to process transactions, a data warehouse to store transaction data recording the transactions processed at the transaction handler, a profile generator to generate a profile of a user based on the transaction data, an advertisement selector to identify an advertisement based on the profile of the user in response to the transaction handler processing a transaction of the user, and a portal coupled to the transaction handler to provide the advertisement for presentation to the user in connection with information about the transaction of the user. In one example, the profile includes a plurality of values representing aggregated spending of the user in various areas to summarize the transactions of the user.

Abstract: The present disclosure is directed to methods and systems for 3-tier tag container architecture. A browser may execute, responsive to loading a web page, a tag container in the web page. The tag container may include a configuration component, a template component and a rules component for managing a plurality of tags. The template component may provide a template for dynamically generating the tags during page loading. The tag container may apply the configuration component to assign a value to at least one parameter of a configuration of a tag. The tag may comprise an instance of the template. The template may include parameters with values specifying the configuration of an instance of a tag created from the template. The tag container may apply the rules component to modify a property of the tag. The property may determine a loading behavior of the tag on the web page.

Abstract: Estimating ad inventory in an online video streaming system accurately handles interdependencies among targeted attributes. The estimating includes determining a probability distribution of samples taken from electronic data records of ad impressions in an interactive online video streaming service, among a population comprising each different combination of targeted attributes recorded for each of the samples. In addition, the estimating may include populating an electronic data structure with data relating the each different combination of the targeted attributes to corresponding forecasted number of available impressions in a defined time period, based on the probability distribution and a forecasted total number of available impressions in the time period.

Abstract: In an embodiment, a digital data specification of a compound advertisement comprising a plurality of ad units is received at an advertisement delivery server computer, where the digital data specification of the compound advertisement specifies one or more sequential dependencies between one or more ad units of the plurality of ad units and a bid value for each ad unit of the plurality of ad units. Based at least in part on a particular sequential dependency of the first ad unit upon a second ad unit of the same compound advertisement and a bid value associated with the first ad unit, a first ad unit of the compound advertisement is selected for display at a separate user computing device using the advertisement delivery server computer. The first ad unit is caused to display at the particular user computing device.

Abstract: Methods, systems, software, computer-readable media, and the like relate to providing and receiving relevant data from one or more entities. Data is received by a wireless user device directly from a wireless transmitter. The data may be provided to a stationary or moving user. A consumer in a vehicle, for instance, may have a smartphone, mobile phone, tablet PC, navigation system, or other similar mobile device, and can use such device to interact with a geographically proximate advertising module having a wireless transmitter. The wireless transmitter may also be stationary or moving, and can be incorporated into structures such as a vehicle, a billboard, a building, a road sign, a traffic light, or the like.

Abstract: Effectiveness of video content is predicted using an automated or semi-automated analysis process operating on a computer. Video content is analyzed using image and audio data processing to assign a collection of attributes to a video ad. The collection of attributes is correlated to a historical effectiveness (e.g., click-thru rate) of past video ads in the same or similar attribute space to obtain predicted ad effectiveness. Differences between the collection of attributes and historical attribute spaces of greater effectiveness may also be determined and reported in the form of suggestions for improving the effectiveness of the ad.

Abstract: A system and method for allocating credit for an advertising conversion among various advertising touchpoints encounter by the consumer is provided. The system and method comprise receiving data pertaining to touchpoints and conversions of an advertising campaign across multiple channels. Users are correlated across the channels and the various conversions, touchpoints, and touchpoint attributes are identified. Each touchpoint attribute and touchpoint attribute value is assigned a weight. An attribution algorithm is selected, and coefficients are calculated using the assigned weights. The algorithm is executed and true scores corresponding to the touchpoints encountered by each converting user are computed.

Abstract: The present solution is directed to methods and systems for asynchronously loading tag management code and vendor tags on a web page while remaining portions of the web page load. An application executing on a device may receive a web page comprising a configuration object configured to asynchronously load tag management code. The configuration object may load asynchronously, upon execution by the application, the tag management code into memory of the application while the application continues to load a remainder of the web page. The tag management code may request, while the application continues to load the remainder of the web page, one or more vendor tags from a server over a network. The tag management code may receive, while the application continues to load the remainder of the web page, a vendor tag from the server.

Abstract: Estimating a number of unique ad impressions in a streaming video system includes defining parameters of an ad campaign and a desired number of ad impressions for the campaign. A computer system determines a discrete probability distribution of video advertising segments per unit time per client device in a population of video advertising segments streamed to a plurality of client devices, based on historical data. The system randomly samples the probability distribution without replacement, based on the defined number of desired ad impressions. An enhanced binary search algorithm may be used for the sampling. Each sample of the probability distribution identifies a number of ads streamed to a different client device in the probability distribution. The system determines, based on the sampling, a number of unique client devices included the samples, thus obtaining an estimate of unique ad impressions for the defined ad campaign.

Abstract: Advertisement placement includes: obtaining one or more advertisement query keywords; determining, using one or more computer processors, in a multi-level advertisement information store, a selection of advertisement information for placement; and presenting the selection of advertisement information to be placed at a client. The multi-level advertisement information store comprises advertisement information organized into a plurality of first-level categories, and each first-level category is associated with a respective plurality of subordinate levels of categories.

Abstract: An auction for ad inventory to be placed in streaming video content is characterized by a floor (minimum) price. A seller component receives, via a real time auction exchange system, a request for a set of ad impressions meeting specified criteria to be delivered by an online video streaming system, sometimes referred to as an “auction lot”. The seller component determines a floor price based on an inventory pressure calculated for the auction lot in response to receiving the request. The seller component determines the inventory pressure based on an inventory pressure determined for an inventory segment identified by the auction lot. The auction lot may then be entered into a bidding process including at least one bidder wherein bids less than the floor price are not accepted.

Abstract: An interactive direct response system combines the use of short text message systems transmitted via GSM-SMS enabled cell phones with a database and website to enable advertisers to view in real time customer responses to a direct response campaign. Customers are invited to respond to a defined advertisement on for example a billboard by responding to a single telephone number associated with the website by sending a text message linked to that particular advertisement, i.e. a single word. A computer receives and analysis the responses and sends an acknowledgement message to the customer.

Abstract: Methods and systems to identify a user across multiple browsers and machines are described. In some embodiments, a web request is received at a retrieval service from a browser. The web request may include a request to access a retrieval service website of the retrieval service and may be initiated by a redirection of the browser from a requesting service to the retrieval service. A unique identifier associated with a user logged in to an account of the retrieval service may be determined. The user may be logged in to the account via the browser. A redirect request is sent from the retrieval service to the browser. The redirect may include the unique identifier and may redirect the browser from the retrieval service website to the requesting service. The unique identifier may be used by the requesting service to perform additional functionality specific to the user.

Abstract: Given an advertisement placed by a rogue affiliate that takes steps to hide its affiliate ID from affiliate investigators, the affiliate ID may be identified using a step-wise link follower to process the advertisement's target URIs. For each redirection step inclusively between the original target URI and the ultimate destination URI, the current URI is analyzed and requested according to either a trusted request method or a non-trusted request method depending on whether the resource to which the URI refers is known to be a trusted resource. The non-trusted request method is designed to thwart the rogue affiliate's efforts to identify an affiliate investigator as the source of the request.