Product Market Fit Testing
Through structured in-market testing, we put real messages in front of real buyers, measure what actually happens, and hand you empirical answers — not frameworks, not hypotheses, not best guesses. You leave the engagement knowing exactly who your customer is, what they respond to, and what they'll pay.
Our product market fit testing service is broken down into three key phases for in-market testing
Phase 1 is to align on an understanding of the customer you are targeting and build a messaging strategy that will communicate clearly the features and benefits of the offering. It is the phase where we align on the Ideal Customer Profile to target and study ways to differentiate your offering clearly. The output is a handful of target customers and jobs to be done scenarios that can be addressed by the offering you've created.
Phase 2 is to start in-market testing to landing pages created using the strategic messaging hierarchy created in Phase 1. Using the standard ad platforms (Google, Meta, etc.) we pay for clicks to be sent to a number of different landing pages. The ads we create, the clicks we purchase, and the landing pages we create are all different, but the core offering remains the same. This is how we determine which combination drives the highest return on ad investment.
Phase 3 is deep analysis of the data collected within Phase 2 to determine the "winner." It's critical to understand the performance differences across the different marketing combinations that were tested in order to determine which has the most efficient conversion. We work to dissect whether the winning combination was due to messaging vs. target market vs. creative approach.
Testing is more important now than ever
Most companies run ads to generate leads. PMFit.ai runs ads to generate data — specifically, data that answers structural go-to-market questions that can't be answered any other way. The campaign structure, the page design, the audience segmentation, and the analytical framework are all built around producing clean, comparable, actionable data — not just traffic.