Embodiments are directed to a computer implemented business campaign development system. The system includes an electronic tool configured to hold data of a user, and an analyzer circuit configured to derive a cognitive trait of the user based at least in part on the data of the user. The system further includes a targeted business strategy development system configured to derive a targeted business strategy based at least in part on the cognitive trait of the user.

Presented herein is an interactive platform for judging an activity by a participant in an event. The platform includes a client application program downloadable to a mobile device. The program may include a database storing a mobile device identifier (ID), a user ID, user information, and location data of the device. The application may further be configured to display one or more events of the activity as well as an input for receiving a score of the activity from the user. The platform may additionally include a server system connected with the client application programs via a communication network. The server system may be configured for receiving the mobile device ID, the user ID, the user information, and the location data for the client program, and may further be configured to receive the scores from the users, and to adjust the scores according to determined bias of the associated user.

The present disclosure relates to systems, methods, and non-transitory computer readable media for generating a predicted response to a digital survey question and identifying digital survey questions to remove from a digital survey. For example, the disclosed systems can reduce the number of digital survey questions distributed as part of a digital survey by identifying and removing similar digital survey questions. In addition, the disclosed systems can generate a predicted response to an unprovided digital survey question based on determining relationships between respondents. Further, based on respondent relationships, the disclosed systems can identify digital survey questions that a respondent is likely to answer and can provide the digital survey questions to a respondent device of the respondent.

An interactive media management server that facilitates management of interactive media and delivery of such interactive media. It comprises a first interface to an interactive media distribution server communicatively coupled to a plurality of mobile devices, and a second interface to a service provider system or a content provider system. It comprises a manager module for managing creation, distribution and tracking of a plurality of interactive media. The manager module, via the second interface, manages the delivery of the plurality of interactive media from the service provider system or the content provider system, and the communication of user responses to the plurality of interactive media to the corresponding service provider system or content provider system.

An online system evaluates the quality of a content publisher displaying sponsored content items. To determine a likelihood of conversion actions associated with the sponsored content items, the online system uses information about users and their interactions with sponsored content items featured within the content publisher against interactions with sponsored content items featured within a benchmark system (e.g., online system). By determining a ratio of these interactions, the online system can determine a likelihood of conversion actions for the content publisher. The online system uses this likelihood of conversions to determine a publisher quality score that it uses to normalize third party value contributions toward placing sponsored content items on the content publisher. Thus, third party systems no longer need to be concerned about the intrinsic value of a given content publisher as third party value contributions are normalized based on the content publisher's conversion rates.

An identifier associated with a client machine is accessed, and parameters that define a control group of client machines for a particular advertising campaign are accessed. The advertising campaign is associated with one or more standard advertisements. Whether the client machine is a member of the control group based on the identifier associated with the client machine and the parameters that define the control group is determined. If the determination of whether the client machine is a member of the control group indicates that the client machine is a member of the control group, a control advertisement is caused to be presented on the client machine. The control advertisement is an advertisement not associated with the advertising campaign.

This disclosure provides systems, methods, services, and platforms for prompting a user to respond to an offer on a mobile device. The disclosure enables Mobile Network Operators to create campaigns to target customers who are nearing the limit of their data plans, voice plans, SMS plans, and MMS plans. In some embodiments, the cloud server interacts with a client application to prompt the use of a mobile device to respond to an offer send in a campaign. The disclosure also provides embodiments to check to see if the user has opted out of receiving offers, or if a device can not execute a command, or if a threshold number of offers has already been sent. This disclosure also provides embodiments for authenticating third party account log-in.

Selection and playing of digital media with an advertisement or product placement by a user that provides a reward to the viewer upon completion of a test that verifies viewing of the products and the viewer's identity.

Systems and methods for measuring brand uplift in a computer networked environment are provided. A data processing system can assign a first set of device identifiers to an experimental arm and a second set of device identifiers to a control arm. Computing devices associated with the experimental arm receive third-party content items promoting a brand for which a brand uplift experiment is performed, while computing devices associated with the control arm do not receive third-party content items promoting the brand. At the end of the experiment, a brand uplift metric value is computed by analyzing search query logs of the computing devices. The brand uplift metric value is then provided to an advertiser for display.

A panel provider may transmit queries to an audience measurement server to retrieve measurement data for subsets of clients selected via one or more characteristics, such as characteristics of the client, characteristics of the client's device, characteristics of the received content, etc. To protect panel data, the panel provider need not identify these characteristics to the audience measurement server; rather, queries may be made via a plurality of filters that may be applied to client and/or content identifiers. Because the audience measurement server may apply the filters or data structures to select client data for retrieval without knowing what the filter represents, the panel provider's reason for any particular query may be hidden. For further obfuscation, the panel provider may provide a plurality of filters that individually may identify large numbers of clients, but when intersected or applied together, identify only the clients for whom measurement data is required.