Your next revenue increase is already in your data. You just haven't tested for it yet.

I review your page analytics to find high-leverage opportunities, build a testing thesis, and run 10 experiments over 3 months. From test design to reading results — done for you.

First test live in 30 days. All 10 in 3 months — or pro-rata refund.
Book a 15-min call

Most companies with steady traffic and sales are sitting on untested assumptions. The data to find them is already there — in your analytics, your conversion funnel, your highest-traffic pages. One brand below found an 18% price increase their customers were happy to pay.

Why testing hasn't happened

You know you should be testing. Here's why it hasn't.

  • Nobody knows what to test first. Without reading the data, you're copying tests from someone else's playbook — different customers, different traffic, different category. Your own data already says which tests fit your customers — start there.
  • Generic playbooks test what works on average. Social proof. Urgency. Button colour. Your customers aren't average. The tests worth running are the ones your own data points to.
  • Tests get launched and forgotten. Running a proper experiment — setup, significance, correct interpretation — is a job. Without someone whose job it is, tests either don't run or get misread.
How it works

Your data first. Tests second.

Before designing a single test, I review your analytics: funnel drop-offs, high-traffic low-converting pages, session behaviour. That tells me where revenue is leaking, which assumptions are worth challenging, and what a test thesis for each would look like. The 10 tests follow from that — not from a template.

The 3-Month Engagement

Audit, test, read, repeat.

Week 1–2

Analytics audit

I dig into your analytics. Map funnel drop-offs, find high-traffic low-conversion pages, surface the assumptions worth testing. You get a prioritised backlog of 10 experiments with a testing thesis for each.

Week 3–4

First test live

Highest-impact test designed, set up in your A/B tool, and running before the end of month one. Your team implements the variant — I handle everything else.

Month 2–3

Remaining 9 tests — run and read

Tests run in parallel where they don't overlap — pricing on one surface, layout on another. Each runs until it has enough data to read, not a day less. I present the result and a clear recommendation: ship it, discard it, or iterate.

The Offer

Ten experiments. Three months. Done for you.

  • Full analytics audit
  • 10 experiments designed, prioritised, and set up
  • Results read and interpreted for every test
  • Clear recommendation after each: ship, discard, or iterate

Guarantee: First test live within 30 days. All 10 completed within 3 months. If we don't deliver, you get a pro-rata refund.

Book a 15-min call

Free first call. If I'm not the right fit, I'll say so.

Proof

One test. Permanent change to the catalog.

What data-led testing finds that generic CRO doesn't.

Fit

Who this is and isn't for.

This is for you if

  • Enough volume that a test concludes in weeks — think 1,000+ orders or signups a month
  • You have analytics set up and some traffic history
  • You know you should be testing but haven't built the practice
  • Your team can implement test variants

Not for you if

  • Pre-revenue or very early stage
  • You want someone to manage ads or your tech stack
  • No internal capacity to ship variant changes
About
Johannes Kühlewindt

Johannes Kühlewindt

I spent 10 years building growth infrastructure at companies like Klarna and Grover, running experiments across conversion, pricing, and product. Most operators I talk to have the data to find their next revenue lever — they just haven't had anyone read it as a testing backlog.

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Ready to find out what your data is saying?

Book a 15-min call. I'll tell you what I'd look at first — no pitch, no obligation.

Book a 15-min call

Free first call. If I'm not the right fit, I'll say so.