Find a repeatable path to customers before you scale the spend.

Early traction: learn before optimising

If you do not yet have a repeatable customer segment or enough conversions, a polished attribution dashboard will not solve the first problem. Start with customer conversations, a specific offer and a small number of channel hypotheses. Define the evidence that would make you continue, revise or stop. Small samples can guide discovery, but should not be presented as conclusive A/B-test wins.

• Clarify the audience, buying situation and problem worth paying to solve.
• Scope a channel or landing-page experiment around one uncertainty.
• Track useful outcomes and costs without building an enterprise stack.

Scaling: protect what made the early growth work

When acquisition becomes repeatable, the next constraints may be onboarding, customer quality, margin or retention. Compare mature cohorts and acquisition costs before extrapolating. An apparent CAC improvement can come from reporting changes or customer mix rather than a better channel.

• B2B: connect qualification, sales progression and activation.
• B2C: connect first purchase, contribution and repeat behaviour.
• Both: agree ownership, a review rhythm and a bounded experiment backlog.

A practical first engagement

Bring your current customer journey, what you have tried, the evidence available and the resources you can commit. We agree a narrow decision, deliverables and implementation responsibilities. A diagnostic can clarify priorities; a sprint can help deliver and evaluate one intervention. Timing and fees are scoped directly, not inferred from a generic package.

• Outputs: a constraint map, test brief and measurement plan appropriate to your stage.
• You keep: the assumptions, experiment backlog and decision notes.
• Not promised: product-market fit, funding outcomes, virality or guaranteed revenue.

Practical decision guide / Original editorial method

A small experiment that earns the right to become a bigger one

Early-stage growth work should reduce a named uncertainty. A short test is useful when it produces a decision, not when it produces a dashboard full of small numbers. Decide whether the uncertainty concerns the audience, the offer, the channel or the product experience before selecting a tactic.

1. If the customer problem is uncertain

   Ask about a recent concrete situation, the workaround used and the cost of leaving it unresolved. Avoid asking whether someone likes your idea or would hypothetically buy it. Summarise observed behaviour separately from interpretation. An interview is discovery evidence, not a representative estimate of market demand.

2. If the offer is uncertain

   Put a specific, deliverable offer in front of a defined audience. Record meaningful commitments such as a paid pilot or an attended qualification call; explain which one is appropriate for the business. Do not use fake scarcity, undisclosed fake checkout flows or waitlist volume as a substitute for willingness to pay.

3. If the channel is uncertain

   Freeze the offer while testing whether a channel can reach suitable customers at an affordable cost. Record founder time, spend and follow-up effort. A manual route may be worth learning from without being scalable. Repeat the test with a fresh cohort before calling the result repeatable acquisition.

Apply it carefully

Synthetic decision: a founder has €400 and 12 hours available. They reserve €100 and three hours for follow-up and cap recruitment at €300 and nine hours. The objective is to learn why qualified prospects accept or reject one offer—not to prove a conversion-rate uplift from a handful of responses.

A budget boundary is not a statistical stopping rule. Low-volume observations can inform the next question but do not establish product-market fit or a winning channel.

• Use the low-traffic experiment decision log
• Compare seven experiment types

Explore the work and methods

• Seven acquisition experiments with decision rules
• Understand the requirements and limits of A/B testing
• Model a growth investment before committing budget
• Explore consumer-brand and app growth support
• Need ongoing B2B marketing leadership?

Client case results are engagement-specific observations, not forecasts. Methods and tools explain their assumptions and limitations.

Start small. Make the next step concrete.

Growth diagnostic

When the problem is unclear.

A baseline review, a constraint map and a prioritised investigation plan.

Bring the customer journey, available reports and the decision you need to make.

Focused growth sprint

When one bottleneck needs hands-on work.

A scoped acquisition, conversion or retention experiment, with measurement and a decision log.

We agree the test, implementation owner, access and evaluation window before starting.

Ongoing growth partnership

When your team needs a consistent operating rhythm.

A prioritised backlog, regular experiment reviews and support turning findings into execution.

Scope depends on team capacity; fractional leadership is available where appropriate.

Scope, timing and fees are agreed together; no outcome is guaranteed.