Your reporting shows revenue, spend and churn. The diagnostic shows which acquisition sources produced customers worth having, how long each one takes to pay back, what the customers acquired this month are likely to be worth, and where the recurring revenue is quietly leaking out.
It is a fixed-scope product, not an open-ended consulting engagement. You know in advance what goes in, what comes out, and how long it takes.
At a Glance
- Timeline: about ten business days from data access to report and readout
- Output: a written diagnostic report plus a live readout with your commercial team
- Scope: the revenue questions you care most about, agreed with you before any analysis starts
- Commitment: no ongoing contract. If the diagnostic earns the next step, we take it. If not, you keep the report.
Who It Is For
The diagnostic is built for recurring-revenue businesses where customers subscribe, renew, top up, lapse and reactivate: mobile VAS, carrier billing, digital content, subscription services, iGaming and telecommunications.
It is especially useful when growth is being reported in volumes and CPA, nobody can say with confidence which of those customers were profitable, and the answer currently depends on which system you ask.
Questions It Answers
- Which acquisition channels and campaigns produced profitable customers?
- Which campaigns deserve more budget, and which should be discontinued?
- When does a customer from each channel reach break-even?
- What is the projected lifetime value of the customers acquired this month?
- Which customer segments deserve additional investment?
- Why are customers leaving, and which of those causes can you actually move?
- Where is recurring revenue leaking out of the base?
- Where is the evidence strong, weak, or missing entirely?
What We Need From You
- A kickoff call to agree which commercial decisions the diagnostic should serve
- One extract of customer, billing and behavioural data, hashed IDs are fine
- Acquisition cost by channel and campaign, at whatever granularity you actually hold it
- Any existing definitions you use for an active customer, a conversion and a churn event
- Whoever owns the acquisition budget in the room for the readout
No integration work, no access to production systems, no change to your stack.
What You Get
- One reconciled definition of a customer, a conversion and an active month that your commercial and data teams both accept
- A data quality assessment: what is usable, what is missing, what is distorting the picture
- Channel and campaign performance on realised revenue rather than on platform-reported conversions
- Payback curves and break-even timing per channel and cohort
- Projected lifetime value for recent cohorts, with the confidence range stated
- Ranked churn drivers, each one attributed and evidenced rather than asserted
- Value-at-risk cohorts, prioritised by revenue rather than by count
- Recommendations you can take to a commercial stakeholder and defend
How The Diagnostic Works
- Agree which commercial decisions the work has to serve.
- Reconcile the sources onto one definition of a customer and a conversion.
- Assess whether the available data can support those decisions.
- Segment customers and cohorts so patterns are not averaged away.
- Measure acquisition return, payback and value, and identify the behavioural signals behind them.
- Validate findings against the limits of the data.
- Translate the evidence into commercial recommendations.
The point is not to produce a model. The point is to leave your team with revenue decisions they can act on and explain.
