Action Signal turns the signal your customers already leave into a synthetic customer your team can interrogate, then into the specific change to ship, on the surface where the decision happens.
Invite-only during beta. The application is how we learn your decision and your fit.
The platform runs the same line end to end. You never see the machinery, you see the customer and the decision.
The signal customers already leave across reviews, tickets, search, social, and switching language.
A synthetic customer grounded in that signal and category behavior.
Put a title, page, package, or campaign in front of them and ask.
Leave with the specific move on the decision surface that matters.
The customer, not a chatbot
Each synthetic customer is built from your signal and shows what it is grounded in, the surface classes behind it, never a black box. Ask it the things you would ask a focus group, without the weeks or the panel.
Presentation-grade, not a data dump
Every interrogation resolves into a clean artifact: the decision, the customer signal behind it, and the specific change to ship. Built to drop into a deck or hand to a team, not to be parsed.
Marketplace-agnostic by design. The signal classes and decision surfaces are named, the method behind them stays ours.
Beyond a single synthetic customer, map the full range of customers your signal reveals, so you know which audience a decision is really for before you commit to it.
For recurring decisions, the platform can run the read-model-interrogate loop on a schedule and surface what changed, so the work compounds instead of restarting each time.
Invite-only beta. Apply and tell us the one decision you’re trying to de-risk.