AudienceProject’s Ownership Segments are based on a unique combination of survey data and behavioural analysis. Thousands of panelists are continuously interviewed in an ongoing omnibus 365 days a year. The resulting ownership-panel is then used in combination with AudienceProject’s proprietary machine learning algorithms to identify exactly how the behavioural patterns of the owner panelists differ from the non-owner panelists. Once distinct behavioural patterns have been identified, a control group of real panelists are used to verify the affinity of each segment. In other words, AudienceProject’s ownership segments are based on online behaviour of real people, who have expressed ownership in a survey.
Always new seed data
An ongoing survey approach ensures that AudienceProject continuously is able to observe and adjust the segments to match changes in any audience’s attitude and behaviour.