An attribution system aggregates and merges online data and offline chronologically. The attribution system examines merged data for unique visitor (UV) sessions initiated at an online medium (e.g., a website) within an attribution window for a spot that aired on an offline medium (e.g., a television network) and, for each conversion event that occurred in a UV session, assigns a session timestamp to it so that the conversion event is correlated to the spot. The attribution system then determines an overall conversion rate of UVs to the online medium in the attribution window and the attribution by the spot that aired on the offline medium to the overall conversion rate of UVs to the online medium in the attribution window. Results of the offline attribution to the online conversions can be visualized and presented on a client device communicatively connected to the attribution system.

Systems and methods relating to a keyboard application on a mobile device are disclosed. The keyboard application generates a search query which it sends to a remote server. Data located based on the search query is received from the remote server. The data is associated with a record comprising a record identifier. The keyboard application associates a GUI element of the keyboard application with the record identifier. An input is received corresponding to selection of the GUI element. A unique tracking link is generated comprising a URI and an identifier associated with the selection of the GUI element. The URI is a deep link into an application that can execute on the mobile device. The unique tracking link is stored in a database in association with the record and user identifier and passed to the application to access content of the application.

An automated advertising scheduling and distribution process reacts to the effectiveness of sales data. A hosted platform creates location-specific playlists based on key consumer variables that impact buying behavior, and dynamically performs data analytics. Utilizing a programmatic system and machine learning algorithmic methodology, the platform gathers data from the retailer's data warehouse and automatically pulls location-by-location sales data while simultaneously collecting playback data. If sales are not being affected on the particular item that is being promoted, then the platform may be configured to replace that message with a promotional message for another product with a higher likelihood of engagement and conversion. This virtual feedback loop ensures that the platform is optimizing the most effective series of promotional messages for any given location. The content management administrator accordingly delivers relevant advertising/messages to various display screens integrated into fuel pumps, through the store, and to retailer loyalty program applications.

An example apparatus includes: at least one memory; instructions in the apparatus; and processor circuitry to execute the instructions to: access a cookie at a client device, the cookie including a priority listing indicative of an order in which beacon requests are to be sent to ones of a plurality of database proprietors; cause a first beacon request to be sent to a first database proprietor server, the first database proprietor server corresponding to a highest priority in the priority listing of the cookie, the first beacon request indicative of access to media at the client device; and cause a second beacon request to be sent to a second database proprietor server, the second database proprietor server corresponding to a lower priority than the highest priority in the priority listing of the cookie, the second beacon request indicative of the access to the media at the client device.

Usage metrics for augmented reality content may be identified and analyzed to determine measures of fitness for respective usage metrics. The measures of fitness may indicate a level of correlation with an outcome specified by an augmented reality content creator and an amount of interaction with an augmented reality content item by users of a client application. Recommendations may be provided to augmented reality content creators indicating modifications to augmented reality content items that have at least a threshold probability of increasing the level of interaction between users of the client application and the augmented reality content item.

A digital advertising system includes at least one processor configured to execute a plurality of functional modules including an analytics module to receive and analyze client attributes associated with a website visitor and a requested website to define an analytics event. The analytics module ingests and enriches data within the analytics event and provides it to a machine learning module that generates prediction models for potential bids. A management platform receives the bidding prediction and generates candidate configs. An optimization module receives the candidate configs and applies weights and additional features to select a config and generate an optimized script for the selected config. A deployment module receives the optimized script and delivers the script to the website visitor.

A system, method and article of manufacture are provided for detecting message impressions from a document. The document includes one or more data collection areas adapted to receive input, and one or more message areas. Each message area includes a message. Memory representations of messages are stored in a memory. The document is received at a document processing engine which is adapted to access the memory to obtain the representations of messages. Message impressions are detected from the document by analyzing the document in the document processing engine. Message impressions are detected if it is determined that there is relevant input in the one or more data collection areas, and the document includes a representation of one or more of the messages.

A system, method and article of manufacture are provided for detecting message impressions from a document. The document includes one or more data collection areas adapted to receive input, and one or more message areas. Each message area includes a message. Memory representations of messages are stored in a memory. The document is received at a document processing engine which is adapted to access the memory to obtain the representations of messages. Message impressions are detected from the document by analyzing the document in the document processing engine. Message impressions are detected if it is determined that there is relevant input in the one or more data collection areas, and the document includes a representation of one or more of the messages.

One or more embodiments of the disclosure provide systems and methods for providing media presentations to users of a media presentation system. A media presentation generally includes a plurality of media segments provided by multiple users of the media presentation system. In one or more embodiments, a user of the media presentation system may share a media presentation with a co-user. The media presentation system can provide a number of features to assist a user in sharing, filtering, and accessing media presentations.

One or more embodiments of the disclosure provide systems and methods for providing media presentations to users of a media presentation system. A media presentation generally includes a plurality of media segments provided by multiple users of the media presentation system. In one or more embodiments, a user of the media presentation system may share a media presentation with a co-user. The media presentation system can provide a number of features to assist a user in sharing, filtering, and accessing media presentations.