A system for growth and monetisation decisions
Not a one-off opinion. A loop your team can see, repeat and keep.
Seven steps, every sprint
Measure
We start from your funnel, pricing and offers. We agree a baseline and a target lift, and check there is enough volume to measure it.
Hypothesise
Each experiment starts as a clear, testable idea about pricing, packaging or an offer.
Rank
We rank the experiments, so the first cycle goes where the likely gain is biggest.
Test
We run the first cycle with your team, so the learning stays inside the company.
Learn
We read the results: what worked, what did not and why, and keep the learning for the next cycle.
Decide
We make the decisions the learning calls for, together with you.
Scale
We roll out what works, shaped by market dynamics. Then the loop starts again.
One target, set before the work starts
In the Diagnose stage we agree a baseline and a target lift against it. At the end we compare the measured result with the target. The variable fee depends on the targets met. If a target is missed, we agree an extension together.
Before any target is agreed, we confirm your funnel has enough volume to measure a lift and that we can access the data.
- Baseline conversion
- 2.0%
- Agreed target
- 2.4%
- Measured result
- 2.5%
Illustration only, not client data. The result is compared with the target that was agreed at the start.
Decisions and a playbook, not a slide deck
- A diagnosis of your funnel, pricing and offers.
- A target lift, agreed against a baseline.
- A ranked set of pricing and offer experiments.
- Decisions backed by results from the first cycle.
- The playbook, so your team keeps running the loop.
AI-assisted analysis
AI-assisted analysis shortens each experiment cycle, so your team reaches answers sooner.
See the loop on your numbers
Tell us what is stuck. One line and your email is enough.
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