A digital brand asset system is provided enabling a brand owner to create, distribute, maintain, manage, merchandise and analyze smart brand assets. The system enables distribution and sharing of smart brand assets across the websites. The websites can host webpages containing codes representing the smart brand assets. When a user device retrieves a webpage from one of the websites and renders the webpage, it executes the codes and requests the content of the smart brand assets from a brand asset server. Through the brand asset server, a brand owner can control the content and the presentation of the smart brand asset hosted by the websites, based on various factors such as previous click through rates, aggregated shopper behaviors, geographical locations of the websites or website visitors, categorized types of websites, blacklist of websites.

A system, method, apparatus, and processor readable storage media are described for real-time computation of statistics between audiences including, but not limited to, correlations, comparative metrics, and/or other statistical analysis for the audiences. Embodiments enable a user to specify a query that defines a specific audience for analysis in real-time. A past time period may be determined that indicates the amount of historical data that is to be analyzed to generate the statistical comparisons and/or correlations. Employing the user-specified query, statistical comparisons and/or correlation may be provided, based on an analysis of retrieved historical audience data for the time period. Embodiments may also enable a user to generate new statistics in real-time through modification of the audience in one or more iterations. Embodiments may also enable a user to filter, sort, and search through audiences by setting desired statistical boundaries for the resulting audience set.

A telecommunication system implements a method for providing a targeted on-line advertisement to a user accessing a content provider node of the system. An ad is requested from a user node. A content provider is identified at a right of first refusal ad service based on the ad request. At least one demographic corresponding to the user node is determined. Whether an ad corresponds to the determined demographic is determined. A default ad service is determined based on the content provider. The ad request is passed to a default ad service. Retrieved content is processed.

Mechanisms for dynamically integrating content with a web page are disclosed. Statistical data that identifies a plurality of metrics associated with viewership of a web page of a plurality of web pages on a web server is received. Based on the statistical data, the web page is predicted to meet a future viewership metric. Based on the prediction, the web page is identified as a web page predicted to meet the future viewership metric. A web page identifier that identifies the web page is received from a client device. The client device is provided with a high-viewership ad content descriptor from a plurality of ad content descriptors for use in conjunction with presenting the web page to a user.

Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for a content acquisition system to recommend for acquisition a subset of content items selected from a set of content items available for purchase in relation to a content recommendation system currently used in a media environment. The content acquisition system may include a content recommendation system simulator to estimate an impact function value for a potential subset of content items of the set of content items available for purchase based on the currently used content recommendation system. Afterwards, an acquisition recommender can recommend for acquisition a subset of content items based on an optimized objective function value calculated based on an optimization model while meeting one or more budget constraints.

Reaction information and intensity information associated with primary content and secondary content may be determined. Secondary content may be selected based on the reaction information and the intensity information.

The present disclosure refers to the visual and statistical analysis of data acquired from 360 images or films with or without Virtual Reality devices, allowing to generate heat maps and/or other types of graphs from data extracted from coordinate system, frequency, time, geographical location verified by a Geolocation system (GPS) and by points previously entered by the system operator or automatically suggested by the system called Points of Interest; such Points of Interest may also be automatically generated following the analysis and processing of the data extracted from the user's browsing and/or interaction; following the extraction of all the variables and their previous analysis, the system will analyze the heat map and/or other characteristics and reposition the 360 images and/or films displayed to the user according to his/her visualization preferences and/or suggest products or discounts according to the expressed interest.

Described are an apparatus, system, and method for method for validating a broadband service for recommendation. The method comprises: collecting data associated with the broadband service; evaluating the collected data for service recommendations, the service recommendations including upgrades and downgrades to the broadband service; and validating broadband service recommendations, in response to evaluating the collected data, before presenting the broadband service recommendations to user of the broadband service.

Systems and methods for a framework for generating predictive models for media planning. In some aspects, control circuitry receives, from a database, reference data associated with a program. The control circuitry receives a future date for insertion of an advertisement during transmission of the program. The control circuitry determines a prediction period between a current date and the future date. The control circuitry determines whether the prediction period exceeds a threshold period. If the prediction period does not exceed the threshold period, the control circuitry selects a first type for a predictive model. If the prediction period exceeds the threshold period, the control circuitry selects a second type for the predictive model. The control circuitry trains the predictive model according to the selected type and based on the reference data. The control circuitry predicts, based on the predictive model, an average audience for insertion of the advertisement.

Systems, methods and tools for delivering campaign related messages to users engaging in potential cross-currency transactions. Embodiments of the disclosure combines analytics with data collection techniques to predict potential cross-currency transaction, learn about the user, user's location, the user's native currency type associated with the transaction predicted and obtain conversion rate information to make predictions about the strengths or weaknesses of the user's native currency. The embodiments may direct campaign messages to the user's client device promoting or encouraging cost savings the user may incur by completing the transaction at a favorable time for the currency exchange. The cross-currency campaign delivery system may optimize the offers extended to the user during a messaging campaign by comparing the currency rates being used in the cross-currency transaction to the projected strength of the currency at both the present time and over a projected timeline.