Consumer insight research that starts with real demand, not surveys

Consumer insight research uncovers the underlying needs, motivations, and frustrations that drive what people buy. Simporter does it by analyzing millions of real, unprompted consumer conversations — reviews, search, and social — and clustering them into ranked demand spaces, rather than relying on prompted surveys.

Surveys capture prompted answers from a small panel at a single moment. Simporter analyzes what consumers say unprompted, at scale, across time — which surfaces needs people never think to mention in a survey and removes moderator bias.

A typical consumer-insight sprint delivers a ranked demand map in days, not the weeks or months a traditional study requires. It is stage one of our six-week insight-to-concept sprint.

A ranked demand-space map with share-of-voice percentages, mention volumes and trend direction, supporting consumer quotes, and a competitive whitespace summary — a brief your team can ideate against immediately.

Both. AI handles scale — clustering millions of signals — and expert researchers validate the clusters and evidence so the output is rigorous enough to defend in a stage-gate.