A computer-implemented method, computer program product, and computing system for receiving a contribution for a social platform from a client; funding the social platform; and calculating a contribution ROI experienced by the client as a result of the contribution to the social platform.

The present disclosure relates to digital experience development platforms and, more particularly, one or more components, systems and methods thereof of an intelligent digital experience development platform (IDXDP) configured to assist different users in the development, design and deployment of digital applications. A computer-implemented method comprises: determining, by a computing device, that each of a plurality of users of an integrated development environment (IDE) has a common question about performing a task in the IDE; determining, by the computing device, that a community-accepted answer exists to the common question about performing the task in the IDE; and updating support documentation for the IDE based on the community-accepted answer to the common question about performing the task in the IDE.

Embodiments of the present disclosure provide mechanisms for selection of a user survey data object from a set of user data objects, and processing of survey engagement data associated with a selected user survey data object. The user survey data object selected is appropriate for providing associated with a particular user data object, and the survey engagement data received associated therewith enables programmatic selection and use of particular ranking model(s) for use in generating and providing an output ranked item data object set. Example embodiments utilize selected ranking model(s) of a set of ranking models to programmatically generate and output an output ranked item data object set for a particular user profile.

Aspects of the subject disclosure may include, for example, receiving environmental data from a plurality of environmental data sources, identifying environmental risks based on the environmental data, obtaining profile information relating to a user or entity, based on the obtaining the profile information and the identifying the environmental risks, generating a recommendation for one or more locations of possible interest, and causing the recommendation to be presented to the user or entity, thereby providing location-based environmental risk information that is customized on a per user or per entity basis. Other embodiments are disclosed.

Embodiments of system are disclosed in which selection strategies for a direct marketing campaign that identify consumers from a credit bureau or other consumer database can be planned, tested, and/or refined on a stable subset of the credit database. In some embodiments, once refined, consumer selection criteria may be used to execute the direct marketing campaign on the full consumer/credit database, which is preferably updated approximately twice weekly. In one preferred embodiment, the data for the test database represents a random sampling of approximately 10% of the full database and the sampling is regenerated approximately weekly in order to provide a stable set of data on which campaign developers may test their campaign. For each consumer in the sampling, the environment may allow a client to access and use both attributes calculated by the credit bureau and proprietary attributes and data owned by the client. The system allows for a plurality of clients to use the system substantially simultaneously while protecting the privacy and integrity of the client's proprietary data and results.

A system and method for dynamically tracking open slots that become available during looped digital content on a non-personal digital display and dynamically inserting programmatic content into the open slots by first ranking the programmatic content based on a number of parameters.

Systems and methods for managing alternative targeted experimental content are disclosed. A method for managing alternative advertisements may include an offer experience service computer program executed by an electronic device: (1) receiving a query for targeted content to display to a customer on a customer electronic device and an experimental content indicator; (2) based on the experimental content indicator, retrieving an experimental targeted content identifier for the customer from a third-party experimentation platform, wherein the experimental targeted content identifier identifies a variant of targeted content; (3) retrieving experimental targeted content associated with the experimental targeted content identifier from an experimental targeted content database; (4) generating a response to the query for targeted content comprising the experimental targeted content; and (5) returning the response to the customer electronic device. The customer electronic device displays the response including the experimental targeted content.

A method to solicit a user generated response to determine if a consumer made a purchase is provided. The method includes retrieving a transaction information when a consumer is in a point of sale at a retail store. The transaction information is indicative of a purchase of one or more items identified with a unique product code. The method also includes providing, to the consumer, a transaction card indicative of at least a portion of the transaction information; requesting, from the consumer, a validation of the purchase and providing the transaction information to a server when the purchase is validated by the consumer. The method also includes allowing the consumer to modify the transaction information upon request. A system and a non-transitory, computer-readable memory storing instructions to perform the above method are also provided.

An example system disclosed herein includes programmable circuitry to identify audience measurement panelists associated with database proprietor accounts, when a sign- out percentage of the audience measurement panelists is zero, determine a first probability that a second server of a database proprietor associated a first demographic with a logged impression when the logged impression corresponds to a second demographic, when the sign-out percentage of the audience measurement panelists is one hundred, determine a second probability that the second server of the database proprietor associated the first demographic with the logged impression when the logged impression corresponds to the second demographic, determine an adjustment factor based on a weighted combination of the first and second probabilities, and apply the adjustment factor to database proprietor impressions data to reduce a computer-generated error.

Methods and apparatus to generate audience metrics using third-party privacy-protected cloud environments. In some examples, an apparatus comprising processor circuitry to execute the instructions to at least generate an individualization model based on truth data indicating first true users exposed to media via first panelist client devices, produce user probabilities for second panelist client devices based on the individualization model, the user probabilities indicating likelihoods of second true users being exposed to media via the second panelist client devices, select a user probability from the user probabilities based on an impression, and assign the impression to the set of second true users.