Consumer behavioral research-as-a-service platform

Apparatus, to generate behavioral research in a computationally-efficient manner from end users having mobile devices, wherein an end user has an associated mobile device having a device identifier comprising:

• one or more hardware processors;
• computer memory storing computer program code configured to be executed in the one or more hardware processors to:
• receive and store a data set with respect to a behavioral research project, the data set comprising an audience segment, one or more physical locations, and an end user experience;
• receive first party data associated with each of a plurality of end users, the first party data for a given end user being one of:
• user-provided profile data, and third party-supplied profile data that the third party has obtained from the end user, wherein the profile data includes the device identifier for the mobile device associated with the end user;
• receive location data from a location-based data source, the location data identifying, for each of the one or more physical locations, a device identifier associated with a mobile device that is or has been present in the physical location;
• for a given time period, and with respect to any device identifier received from the location-based data source that matches a device identifier in the first party data, issue a query that includes the device identifier to one or more third party data sources, thereby obtaining information that any of the one or more data sources possesses with respect to an end user associated with that device identifier, the information comprising the device identifier and one or more demographic attributes associated with the end user associated with the device identifier;
• during the given time period, and as responses to queries to the one or more third party data sources are received, filter a given response against a probability sample representing a set of respondents having demographic attributes that are consistent with the audience segment and that are or were present in the physical location to determine whether an actual end user associated with the given response should be included in the set of respondents;
• and
• upon a determination that the actual end user should be included in the set of respondents, issue an end user experience opportunity to the mobile device associated with the device identifier returned in the given response;
• wherein, based at least upon the issue a query and filter operations, the probability sample adapts dynamically to actual end users of the audience segment that are available during the given time period, thereby providing improved computational efficiency of the apparatus.

A computer program product in a non-transitory computer readable medium, the computer program product holding computer program instructions executed by a computing system to generate behavioral research in a computationally-efficient manner from end users having mobile devices, wherein an end user has an associated mobile device having a device identifier, the computer program instructions comprising program code configured to:

• receive and store a data set with respect to a behavioral research project, the data set comprising an audience segment, one or more physical locations, and an end user experience;
• receive first party data associated with each of a plurality of end users, the first party data for a given end user being one of:
• user-provided profile data, and third party-supplied profile data that the third party has obtained from the end user, wherein the profile data includes the device identifier for the mobile device associated with the end user;
• receive location data from a location-based data source, the location data identifying, for each of the one or more physical locations, a device identifier associated with a mobile device that is or has been present in the physical location;
• for a given time period, and with respect to any device identifier received from the location-based data source that matches a device identifier in the first party data, issue a query that includes the device identifier to one or more third party data sources, thereby obtaining information that any of the one or more data sources possesses with respect to an end user associated with that device identifier, the information comprising the device identifier and one or more demographic attributes associated with the end user associated with the device identifier;
• during the given time period, and as responses to queries to the one or more third party data sources are received, filter a given response against a probability sample representing a set of respondents having demographic attributes that are consistent with the audience segment and that are or were present in the physical location to determine whether an actual end user associated with the given response should be included in the set of respondents;
• and
• upon a determination that the actual end user should be included in the set of respondents, issue an end user experience opportunity to the mobile device associated with the device identifier returned in the given response;
• wherein, based at least upon the issue a query and filter operations, the probability sample adapts dynamically to actual end users of the audience segment that are available during the given time period, thereby providing improved computational efficiency of the computing system.