After a consultation
A concise summary of conclusions and next steps within the agreed scope. Further project work is agreed separately.
I clarify the question, examine the baseline and agree my role. Then I build a plan, deliver the work and assess the outcome with the team.
Before starting, we clarify the task, resources and my role. After the meeting, the team has a recorded next step.
The project or role, the change you need and how to reach you. Budget and timing can be shared now or discussed at the meeting.
I clarify the product, audience and current results. We agree a time, review relevant data and discuss constraints.
I summarise what is known, what is missing and what we can influence. I propose actions, measures, responsibilities and a sequence.
I carry out the agreed work, showing changes, costs and results. We decide what to continue, revise or stop.
A concise summary of conclusions and next steps within the agreed scope. Further project work is agreed separately.
I research demand and segments, build the offer and acquisition plan, then turn it into tasks with budget, timing and decision criteria.
I review the product, processes, reports and live campaigns. Together we define my responsibility, baseline measures and dependencies.
I research the customer problem, alternatives and demand for a solution.
Market size, demand, willingness to pay
I group customers by needs and choose messages and formats for each segment.
Segment response, enquiry quality
I choose platforms, creators and placements that introduce the product to its audience.
Audience reach, frequency, cost per contact
I launch campaigns and compare sources by leads, sales and customer acquisition cost.
CPL, CAC, purchase conversion
I examine whether users reach product value through sign-up, a first order or payment.
Activation, time to value, conversion
I compare user cohorts, investigate churn and find opportunities for repeat use.
Retention, repeat purchases, reactivation
Acquisition cost, revenue and margin help decide what to change and where to invest.
Work can start at any stage. Results from the launch feed back into the audience, product and offer.
These are examples of my approach. The actual work depends on the product, available data and team.
Audience segments, an offer and a launch plan with a budget and criteria for continuing.
I examine enquiry quality, purchases and reasons for rejection. Market estimates include their assumptions.
Live campaigns, results tracked by source and clear team responsibilities.
I compare lead quality, sales conversion and acquisition cost. Payback calculations include margin and the time needed to recover costs.
A view of losses after acquisition and a plan for product or communication changes.
I look at activation, cohort retention, repeat purchases and revenue. Where a control group is available, I assess the incremental effect.
Data helps choose an action. I connect the source to customer value and business revenue, then look for the stage where the result is lost.
For example, enough enquiries but too few payments. I clarify what counts as a lead, a sale and an acceptable acquisition cost.
I map sources and important actions: visit, enquiry, first useful experience, payment and repeat use.
I test the path, duplicates and discrepancies. I reconcile events with CRM and payments and record data limitations.
I compare channels, segments and cohorts. Clarity helps explain behaviour on a page; CRM records help explain rejected enquiries.
I choose a hypothesis and a way to test it, then compare the agreed measure while accounting for other changes.
I check lead quality and counting first, then follow enquiries through response, proposal and payment. If people wait days for a reply, more advertising amplifies the loss. If the offer is a poor fit, we revise the audience or message. After a change, we compare the path and outcome again.
Sources and events: GA or Matomo. Behaviour: Clarity. Activation and cohorts: product analytics. Sales and revenue: CRM and payment records. One service rarely answers every question.
First we agree on the business result that matters. Then I check whether the available data can measure it.
I define the metric, period, segment and results before the change. I check that events and sales are counted consistently.
I trace the path from a channel to an enquiry and payment, accounting for attribution, purchase delays and repeat touchpoints.
Where possible, I use an A/B test or an unchanged group. Comparison rules and the evidence needed are defined before launch.
I account for seasonality, discounts, pricing, product changes and sales activity. Small samples or incomplete data limit the conclusions.
Attribution assigns a sale to a channel. Incrementality asks how many additional purchases happened because of the action. Growth after a launch alone does not prove a causal effect.
| Goal | Metric | How I read the data |
|---|---|---|
| Acquisition | CPL & CAC | CPL: lead-generation spend / number of leads. CAC: agreed acquisition costs / new paying customers. We define included costs and the period in advance. |
| First experience | Activation & conversion | We define a useful action in advance: a first order, a published vacancy or another moment when the user receives value. |
| Retention | Cohorts & repeat purchases | We compare users at the same point in their product lifetime, accounting for acquisition source and segment. |
| Economics | Margin, LTV & payback | Cost recovery includes margin. LTV forecasts are labelled as forecasts and include their assumptions. |
I own the agreed scope and work towards an outcome we can assess. Some hypotheses will not hold. We define success, the review point and when to change the plan before starting. My delivery stays clear: decisions, timing, costs, conclusions and the next step.