A computer-implemented method, computer program product, and computing system for receiving a contribution for a social platform from a client; producing promotional material for the client concerning their contribution to the social platform, wherein this promotional material is configured to positively impact a current responsibility score associated with the client; and publishing the promotional material.

A real-time survey system can monitor real-time event and interaction data generated as a user interacts with an application. Using the event data in combination with static user attributes, the survey system can identify a subset of microsurveys a user is eligible to receive or participate in. Identifying eligibility can include applying one or more filters based on user attributes as well as detecting a triggering event that signals real-time relevance of the survey to the user's actions. If the user is eligible for multiple surveys, the survey system can select a single survey to send to the user. Surveys can be presented to users directly using the real-time survey system instead of via an alternate delivery method, such as email. After collecting survey data, survey system can automatically analyze survey responses, including by performing machine learning based thematic analysis on freeform text responses.

The present invention relates to a system (1) for carrying out estimation and analysis of revenue and subscriber expectations in relation to both a related campaign and campaigns to be conducted in the future when a campaign is over in telecommunication companies conducting mass campaigns and companies being engaged in other sectors.

A computing system is configured to receive location data from a wireless device of a user. Upon receiving a search request from the wireless device, the computing system utilizes the location data to determine one or more likely travel routes of the user of the wireless device. In response to the search request, the computing system may select one or more establishments based on the likely travel routes and location data associated with the one or more establishments. The computing system may further transmit to the wireless device information associated with the selected one or more establishments.

A marketing support system includes an acquisition unit acquiring questionnaire information including a response result of a questionnaire and an attribute of a respondent of the questionnaire, the questionnaire conducted to consumers in a product and service field to which a marketing target belongs, regarding recognition, usage experience and frequency of use of a brand belonging to the field, an assignment unit for assigning the respondent to any one of a plurality of segments set in advance based on the response result, an aggregation unit configured to estimate the number of consumers and the ratio of the number of consumers with respect to all the segments based on the number of respondents assigned to each of the plurality of segments, and an output unit configured to display a policy for respective consumers of the plurality of segments and information on costs for the policy for comparison among different segments.

A method, computer system, and computer program product for billboard aesthetics and safety rating generator are provided. The embodiment may include receiving, by a processor, a plurality of information related to a billboard. The embodiment may also include extracting specific billboard information from the received data. The embodiment may further include generating ratings on safety, aesthetics and legal conformance levels of the extracted billboard information. The embodiment may also include generating a 3D model of the billboard that incorporates updates based on the generated ratings. The embodiment may further include generating improvement recommendations designed to increase the generated ratings.

A method for enhanced digital content presentation is provided that includes assigning, to each member of members of a social network of a user, a respective knowledge score, the knowledge score being representative of accuracy in the member predicting positive impressions of the user. The members of the social network are surveyed for an indication of which one or more options for digital content are expected to have a positive impression on the user. Based on the surveying, selected digital content based on the one or more options that are expected to have a positive impression on the user, as indicated by the surveying, is selected. The selected digital content is presented to the user. An indication of whether the selected digital content had a positive impression on the user is received from the user.

Methods and apparatus are disclosed to determine informed holdouts for an advertisement campaign. An example storage medium includes instructions that, when executed, cause a machine to retrieve user identifiers associated with purchase instances; determine households that correspond to the user identifiers; identify a first and a second group type, the first group type exhibiting a first threshold of purchase behaviors, and the second group type exhibiting a second threshold of purchase behaviors; identify a first holdout group and a second holdout group, reduce computational lift calculation resource consumption by constraining the first holdout group to a first percentage, constraining the second holdout group to a second percentage, the first percentage equal to the second, the first and the second holdout groups are not to be exposed to an advertisement campaign; and determine a lift calculation for the advertisement campaign based on the first and the second holdout groups.

Techniques and systems are described for analyzing components of digital content. A computing device of an analytics system receives user interaction data that describes an effect of user interaction with a plurality of items of digital content on achieving an action. The analytics system identifies which of a plurality of components are included in respective items of digital content. The analytics system then generates outcome data describing a likely effect of the plurality of components on achieving the action based on association with respective items of digital content. Additionally, the analytics system generates a recommendation to configure a subsequent item of digital content based on the outcome data. The recommendation is based on the likely effect of the different ones of the plurality of components, to generate more effective digital content.

Systems and methods for dynamically tracking delivery and performance of digital advertising placed on non-personal devices in physical locations and integrating, displaying, and reporting impressions and events in digital advertising systems.