The PRISM
Method
A behavioral science–driven experimentation process that predicts revenue before a test runs and verifies it after.
Most experimentation programs test hunches. PRISM applies behavioral economics to find the cognitive mechanism driving (or blocking) conversion — then attaches a revenue forecast before the test runs.
The result: every experiment is accountable to a number, not just a direction.
Start with data, not guesses. Quantitative analytics show where revenue is leaking. Behavioral analytics — heatmaps, session recordings, funnel drop-off — show how users actually behave. Then behavioral science assigns the why: is this a trust deficit? Cognitive overload? An anchoring effect working against conversion? You're not just finding the problem. You're naming it.
Every finding competes for test bandwidth. Score each hypothesis by one filter: expected revenue impact at current traffic. The test worth the most to the business runs first — not the easiest to build, not the most interesting to the team.
Write a hypothesis that names the behavioral mechanism, the expected change, and the predicted revenue impact. Then build the smallest test that validates it. Proper power calculations, sequential testing, and guardrail metrics to catch unintended side effects.
Measure results against the pre-set revenue forecast. Win, Save (prevented a bad rollout), or Learning — every experiment closes with a verdict in revenue terms, not just a percentage lift.
Ship the winner. Update the baseline. Feed the insight back into the next hypothesis cycle. Each winning experiment raises the floor for the next one. 500+ tests compounding is how $30M+ gets built.
Each experiment feeds the next. Behavioral insights don't expire — they compound into a permanent intelligence advantage over competitors who are still guessing.
See the method in action
Read Lean Experiments for weekly breakdowns of behavioral science applied to real campaigns — or see the case studies behind the $30M+.
Revenue Frameworks
for Growth Leaders
Every week: one experiment, one framework, one insight to make your marketing more evidence-based and your revenue more predictable.