We’ve all been there – you test 25 benefit statements and get your answer, then 6-months later you have 5 more, so you test 30. In another six months it’s 40, then 45 – you get the idea. It’s a waste of time and resources asking consumers the same question over again.
Our custom-built Integrated MaxDiff model solves this inefficiency. Using advanced Bayesian analytics, we can compare new statements alongside a small subset of previously tested statements. This lets us continually build off our benchmark, connecting each new wave to expand our “database” and get rid of the need to re-test the full set again and again.
