Testing a campaign on real customers is slow and costs budget and goodwill each time. Synthetic Audience Simulation builds AI models of your customer segments, grounded in your behavioural data, research and past campaign results, and lets you put messages, offers and creative in front of them before anything reaches a live channel.
Where it helps
- Creative and messaging decisions settled by whoever argues hardest in the room
- Market research that takes weeks and arrives after the launch date has been set
- Too many campaign variants to test live without exhausting the audience
- New segments or markets where there is no history to learn from yet
What we deliver
- Synthetic segments. Simulated audiences matched to your real segments on behaviour, preferences and stated attitudes, calibrated against past responses.
- Response testing. Predicted reactions to headlines, offers, pricing, creative and channel choices, with the reasoning behind each response.
- Strategy comparison. Several campaign approaches scored side by side, including the segments each one wins and loses.
- Calibration reporting. A record of simulated against actual results for every campaign that goes live, so you can see how much to trust the model.
How an engagement runs
- Assess. We review your segments, the research and campaign history available and the decisions the simulation should inform.
- Build. We construct the synthetic audiences, often on profiles already defined, and test them against campaigns whose outcomes you know.
- Integrate. The simulation becomes a step in your campaign workflow, with results presented alongside creative reviews.
- Run. We recalibrate after each live campaign and extend the audiences as new segments and markets appear.
What changes for your team
- Messaging and creative choices are tested before budget is committed
- More variants can be explored than live testing would ever allow
- Research questions get a first answer in days rather than weeks
