Methods and apparatus to associate transactions with media impressions are disclosed. An example apparatus includes instructions to receive, at a merchant database proprietor, a first request from a computing device to access a first account, the first account corresponding to a first transaction performed with the merchant database proprietor, the first request including a first identifier associated with the computing device, the first identifier set at the computing device by an entity different than the merchant database proprietor, based on a second request including the first identifier, identify a second transaction involving the merchant database proprietor, the second transaction conducted using the first account, and provide a product identifier included in the second transaction to an audience measurement entity.

A system can access data about items for a store and generate a plan for configuring the store based on the accessed data. The system can further provide, for example, information for configuring reconfigurable shelving units so as to produce the layout of the store according to the plan.

Disclosed examples determine a unique audience exposed to media while reducing memory resources of a computing device. Example instructions program programmable circuitry to log a plurality of impressions corresponding to media accessed at client devices; generate a first value based on a count of the impressions and a count of users of a database proprietor that accessed the media; generate a second value based on the first value and a count of demographic impressions logged by the database proprietor; and determine a unique audience size based on the second value.

Methods and apparatus to monitor media content at a content display site are described. An example apparatus includes processor circuitry to execute computer readable instructions to: estimate a first audience size associated with unmeasured locations based on distributed census-based page views and a measured panel data; generate a virtual panel based on the first audience size to enable more accurate estimation of traffic from the unmeasured locations by weighting second panelists associated with the unmeasured locations and reweighting a subset of the second panelists; and determine additional activity not represented by the measure panel data; and calculate an online audience based on a measured location audience, the virtual panel, and the additional activity.

Some implementations use the same exposed and unexposed (i.e., control) groups for foot traffic and transaction (e.g., sales) attribution analysis. Some implementations are configured to preserve user data privacy, e.g., the processing entity need not access user-specific sales data that is separately maintained by a third party that provides sales aggregate data.

Techniques are provided for generating a content sequence of campaigns for providing users with content items. A first campaign of the content sequence is generated to include a first content item to display to a first audience of users. A second campaign of the content sequence is generated to include a second content item to display to a second audience of users that viewed the first content item. A third campaign of the content sequence is generated to include a third audience of users that interacted with the second content item. In this way, the content sequence is implemented to serve content items to users.

A method and system for identifying social trends are provided. The method includes collecting multimedia content from a plurality of data sources; gathering environmental variables related to the collected multimedia content; extracting visual elements from the collected multimedia content; generating at least one signature for each extracted visual element; generating at least one cluster of visual elements by clustering at least similar signatures generated for the extracted visual elements; correlating environmental variables related to visual elements in the at least one cluster; determining at least one social trend by associating the correlated environmental variables with the at least one cluster.

Television is the largest advertising category in the United States with over 65 billion spent by advertisers per year. A variety of different targeting algorithms are compared, ranging from the traditional age-gender targeting methods employed based on Nielsen ratings, to new approaches that attempt to target high probability buyers using Set Top Box data. The performance of these different algorithms on a real television campaign is shown, and the advantages and limitations of each method are discussed. In contrast to other theoretical work, all methods presented herein are compatible with targeting the existing 115 million Television households in the United States and are implementable on current television delivery systems.

A system and method directed at business administration are provided which may be implemented with an application executed on a computing device. A processor comprising the computing device may be operative to register and assign roles to various system users and grant users access to a plurality of administration modules according to each user’s role and in response to receiving a single set of user-authenticating credentials. The plurality of administration modules may comprise a combination of communication, billing, service, marketing and analytics, and task modules.

The present teaching relates to a method and a system for advertising. The method obtains information about a conversion associated with an advertisement and generates with respect to the conversion, an operational smart attribution evaluation package (SAEP). The SAEP includes a conversion parameter and a reward. The method transmits the SAEP to a platform to be posted, and thereafter receives from the SAEP, an indication of an entity which is estimated to be associated with the conversion and to which the reward is to be allocated. The entity is determined by the SAEP based on the conversion parameter and information from a plurality of entities that displayed the advertisement.