Abstract:
Systems and methods are provided for mobile campaign optimization without knowing user identity. The system includes circuitry configured to obtain mobile application data about a mobile application from at least one mobile device. The system includes circuitry configured to generate a mobile application profile for the mobile application using the mobile application data. The system further includes circuitry configured to select at least one mobile application to show a mobile advertisement in the at least one mobile application at least partially using the mobile application profile.
Abstract:
Systems and methods for building keyword searchable audience based on performance ranking are provided. The system includes a processor and a non-transitory storage medium accessible to the processor. The system includes a memory storing a database comprising segment data and campaign data. A computer server is in communication with the memory and the database, the computer server programmed to: obtain a performance-lift vector for an audience segment; obtain a campaign vector using meta-data from the campaign data; obtain a keyword vector for the audience segment using the performance-lift vector and the campaign vector; receive an input from a user interface accessible to an advertiser; and search the segment data at least partially based on the input and the keyword vector for segments in the segment data.
Abstract:
Systems and methods for generating human readable natural language summary for campaign audience are provided. The system includes a memory storing a database including audience segments and tags related to the audience segments. A computer server is in communication with the memory and the database, the computer server programmed to: obtain campaign delivery feed data related to a plurality of campaigns from at least one advertiser in a preset time period; obtain audience feed data including tag information from a data provider; cluster the tag information to find term frequencies for each term in the tag information; identify human understandable terms from the clustered tag information by removing noisy terms; and generate a human understandable report using the human understandable terms in a timely fashion.