An audience you can query
Models trained on the data that describes your customers, with evidence specific to the audience.
Service
Market Testing
You can see how an offering lands with an audience before you spend the launch on finding out.
What this is
Customer-specific data can tell you how people will meet a message, a creative, or a new offer.
We train models on the data points that describe your customers, then run sub-agents against creatives, copy, launches, and new offerings. The pass can cover social, email, retail, direct-to-consumer, and B2B. Each agent holds a slice of consumer evidence. Together they return a picture of how the audience is likely to respond in a form a team can actually use.
What we build
The visible experience and the system underneath it.
A pass before launch
Creatives, messages, and new offerings can be run against that audience across the channels you actually use.
Feedback you can read
Sub-agents return individual reactions. We aggregate them into a format the team can act on.
How the engagement moves
A real sequence, from ambiguity to something the team can run.
- 01
Define
Name the audience, the channels, and the thing you want to test.
- 02
Implement
Build the customer models and run the first pass on live creative or copy.
- 03
Improve
Compare the simulation with what happens after launch, then tighten the next test.
A good fit when
- A launch is expensive enough to test before it ships
- Messaging needs to hold across more than one channel
- The team has customer data and no way to ask it a question
What changes
- A read on the audience before the spend
- Channel-specific reactions, not one blended guess
- A test you can run again on the next offer
Connected services