Techniques are provided for targeting of online advertisements. Methods are provided which include classifying an individual into a state, of a set of possible states, relative to relationship with regard to an offering or brand. The classification may be based on offline and online information. The states may relate to a degree of favorability with which the individual is disposed with regard to the offering or brand. The individual is targeted with an online advertisement based at least in part on the state into which the individual is classified.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing conversion path performance measures and reports. In one aspect, user interaction data are obtained, were the user interaction data specify user interactions for a plurality of conversions. User interactions that are associated with each conversion are selected from the user interaction data, where the associated user interactions for each conversion are user interactions with a converting user during the conversion cycle for the conversion. Using the user interaction data for the selected user interactions, a quantity of user interactions that are associated with each conversion and occurred during the conversion cycle for the conversion are determined. In turn, conversion path performance measures are computed and reports specifying the conversion path performance measures are generated.

Various of the disclosed embodiments concern systems and methods for tracking virality and social lift of media content. In some embodiments, an analytics engine creates and tags URLs to media content using generation codes, time codes, or both. The codes and their respective values allow the analytics engine to determine whether trends or patterns exist in how media content is viewed and shared. The generation codes and time codes can be used instead of, or in addition to, conventional UTM codes. The generation code, time code, or both, can be used to determine which segments (e.g., generations, time periods) of viewers generate a profit, subsequent viewers, etc. For example, the analytics engine can determine when an advertising campaign for a piece of media content should be terminated, rather than simply indicating whether the campaign should continue.

The subject technology provides a targeted content curation and placement optimization system comprising a processor connected to a publication network, the publication network navigated by an online consumer seeking actionable content. An online demand side portal is accessible, via the publication network, to a content provider. An online supply side portal is accessible, via the network, to a publisher of content on the publication network. An integrated bidding exchange is communicatively coupled to the demand side portal and the supply side portal and presents user interfaces enabling receipt of bids from the content provider for placement of content by the publisher at a specified location or domain on the publication network. A geographic insights generator may generate geo-specific intender attributes that may be used to curate the targeted content and optimize one or more bidding parameters of the content provider.

When the social networking system selects an advertisement for presentation to the user by a client device, a content identifier associated with the selected advertisement is stored in an advertisement history associated with the user. When the user performs a conversion event associated with the selected advertisement, the social networking system receives a content identifier and a user identifier from a client device used that performed the conversion event and retrieves the user's advertisement history. If the retrieved advertisement history includes a content identifier for the selected advertisement matching the content identifier received from the client device and a time between the conversion event and providing the selected advertisement to the client device is less than a threshold time period, a fee is determined for presentation of the selected advertisement.

Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium for dynamic contact information assignment. A method includes: identifying a pool of telephone numbers; assigning the telephone numbers to a pool manager; allocating by the pool manager, subsets of the telephone numbers to a plurality of allocators, each allocator responsible for allocating telephone numbers to an associated group of content sponsors; determining a first allocation of a first subset, the first allocation being distributed among the content sponsors associated with a first allocator, creating first pools each associated with a respective one of the content sponsors associated with the first allocator; reclaiming one or more telephone numbers from a pool of the first pools; and assigning ones of the reclaimed telephone numbers by the first allocator into either other pools of the first pools or back to the pool manager for allocation to other allocators.

A technique for tracking advertisement efficacy using consumer transactions is disclosed. An information tracking agent maintains and stores information related to users identified by a unique identifier. A user is presented with an online/offline advertisement. An information tracking agent records and stores the advertisement transaction. When a user performs a transaction for purchase of goods or service that are the subject of the advertisement, the information tracking agent identifies the user with the unique identifier and the matching agent matches the user transaction with the displayed advertisement. The system automatically tracks the effectiveness of the advertisements displayed to users without requiring consumer action, beyond the purchase/transaction, in response to the displayed advertisement. In another embodiment, the system automatically tracks user location with a GPS and dynamically displays advertisements on billboards connected to the information tracking agent.

The present invention relates to a star-following product sale system and a method thereof, and more particularly, to a star-following product sale system and a method thereof, in which a part of profits obtained from star-following users who perform star-following browsing or a star-following purchase of products at the time of payment of the star is fed back thereto, thus to determine a payment limit of the star, and the star may execute a payment within the payment limit, thereby providing a cycle of star-driven positive reinforcement. By applying the present invention, when browsing product information or purchasing and making a payment of a product by a user who follows the star to perform star-following browsing or a star-following purchase through the system, the payment limit of the star may be increased and a limit of an amount on the selection of the star may be removed by the above star-following browsing or star-following purchase action. Therefore, it is possible to give more freedom to the star in the selection of products, and provide useful product information to star-following purchasers, such that a cycle of star-driven positive reinforcement can be formed therebetween.

An approach is provided for determining a product value score. Features of a product are identified. Ranking data for each identified feature is collected. The ranking data includes popularity, stability, availability, and memory usage of each feature. Additional data for each feature are determined. The additional data includes an importance, a conversion rate, and a marketing impact of each feature. Based on the ranking data and the additional data, normalized data is generated according to characteristics of the features. Based on a data science prediction analysis which uses the identified features, weights of the features are determined. Based on initial results of the data science prediction analysis, a key product is selected from a set of products. Based on the key product and the weights, product value scores of products in the set of products are determined.

A task circumstance processing system includes a processor that executes a process. The process includes: referencing a recognition information stored in a memory, the recognition information stores, for each of plural task processes in task definitions defining relationships between the plural task processes, recognition information for recognizing execution of each of the plural task processes, and extracting for each of the task processes a timing where the recognition information is expressed in observation data from observing circumstances of the task; and outputting a result of comparing a relationship between plural task processes that have been executed as identified by the extracted timings, against a relationship between plural task processes defined by the task definitions stored in the memory.