When a content item is initially served to a client device, the content item may result in an impression effect. As time elapses, the initial impression may fade. Such a decay of the impression effect may be predicted through the use of a predictive model. In some implementations, one or more impression effect parameters may be accessed and used with the predictive model to determine a decay factor or predicted value that incorporates the impression effect decay for a content item. A value, such as a score, may be determined based on the decay factor or the predicted value and a bid associated with a content item. A content item may be selected based on the determined value and data to effect presentation of the content item may be provided.

Described are systems, media, and methods for providing advertisers access to ad space on printed and electronic receipts and electronic displays at the point of sale.

Embodiments are provided that improve persona tracking and use to improve the accuracy of determinations and actions that rely on such persona(s). Some example embodiments track user information associated with a profile. Example embodiments further generate personas associated with the profile based on the user information. Example embodiments further receive time data and/or location data from a user device. Example embodiments further determine a selected persona based on the time data and/or the location data. Example embodiments further determine a preference dimension value based on the selected persona. Example embodiments further identify promotion data representing a plurality of promotions. Example embodiments further, for each promotion, generate a first dimension score corresponding to the preference dimension value based on the selected persona. Example embodiments further determine a ranking for the promotions based on the first dimension score for each promotion.

Methods and system are provided herewith for providing information services. A data service in according with the methods and systems disclosed herein may provide content for the data service and/or may provide content to subscribers via the service and the content provider may provide a credit or other benefit to the content provider.

A processing device for generating a viewing data report is disclosed. The processing device may include a memory device and a processor. The memory device may store instructions. The processor may be operatively coupled to the memory device. The processor may execute the instructions to: determine first viewing data associated with a first ACR event; determine second viewing data associated with a second ACR event; determine that a data field of a plurality of data fields in the first viewing data is incomplete; derive new data for the data field using other data fields of the first viewing data; aggregate the first viewing data and the second viewing data into a single data model to obtain aggregated viewing data of viewing behavior of a first viewer and a second viewer; and create a viewing data report as a compilation of the aggregated viewing data.

A computer-implemented system and a method for automatic electronic order creation are disclosed. The system and method may be configured to: receive a digitized document comprising embedded metadata related to contents of the digitized document; analyze the embedded metadata to extract a boundary parameter; generate a unique reference identifier associated with the digitized document and the boundary parameter; receive a first input data setting one or more target measurements for one or more predefined periods of time, wherein a sum of the one or more target measurements is less than or equal to the boundary parameter; receive a second input data setting configuration data for achieving the one or more target measurements; and generate an electronic order based on the configuration data.

A new RFP specification is received for a new broadcast ad campaign. A placement is determined for a new broadcast ad in a suitable position within an ad network inventory based at least in part on the new RFP specification. A transfer of an existing placement for an existing broadcast ad campaign out of the suitable position to a newer position based at least in part on an existing RFP specification is determined.

A method, apparatus and computer program product are provided for integrated sales management. A sales resource may use the system to track and modify promotion proposals for providers. Data defining the proposed promotion may include information relating to the provider, capacity, the promotion structure, return on investment, and/or an auto-approval status. Some data defining the proposed promotion may be automatically generated by the promotional system and/or modified by the provider. The proposal may be auto-approved or approved manually by a sales resource. Upon approval, the promotion may be made available for sale.

Various methods are provided for intelligently modeling a diverse promotion portfolio. One example method may comprise utilizing an analytical model to intelligently generate a proposed promotion portfolio of available promotions by performing an iterative process in which a determination is made as to whether the proposed promotion portfolio that is generated projects a predicted revenue that at least meets the target revenue over the predefined period of time for the geographic area, in an instance in which the determined proposed promotion portfolio value fails to meet the target revenue over the predefined period of time for the geographic area, repeating the iterative process and altering the weighting values, in an instance in which the determined proposed promotion portfolio value at least meets the target revenue over the predefined period of time for the geographic area, ending iterative process, and generating the inventory of promotions in accordance with the proposed promotion portfolio.

Systems and methods for generating an optimal allocation of marketing investment for a marketing budget based on a marketing variable without requiring historical time-series data or survey data are disclosed. A first advertising elasticity is determined for the marketing variable based on a meta-analysis of a normative database. A second advertising elasticity is determined based on financial data for the offering being analyzed. The first and second advertising elasticities are combined to determine the optimal allocation.