Clear revenue arguments, not impressive-looking averages

Why the practice exists

Monitorvectorgrid began after years of seeing the same disagreement recur inside app businesses: finance reported recognised revenue, growth reported attributed value, and product reported retention. Each view could be internally correct while the combined lifetime value claim was wrong.

We are an independent Birmingham-based analysis practice. Our work joins those definitions without pretending their differences are merely technical. Store commission, tax, annual-plan recognition, trial conversion, refunds and reacquisition all change the commercial reading of a cohort.

Lead analyst

Mara Ellison leads each engagement, from definition workshop to final review. Her background spans commercial analytics for consumer subscriptions, marketplace finance and mobile growth teams. She works with a small network of data engineering and finance specialists when a source system needs separate remediation; any involvement is agreed before access is granted.

How we work

We begin with the decision rather than a catalogue of available fields. Every chart carries its population, time window and revenue definition. Observed values and modelled values are visibly separate. Reconciliation differences and missing dimensions remain in the report, because omissions are part of the evidence.

We ask clients to nominate owners from both finance and product or growth. That slows the first week slightly and prevents much longer arguments at handover.

Our commitments

• Collect only the fields necessary for the agreed analysis
• Prefer anonymous payer identifiers over personal information
• Document exclusions and judgement calls beside the calculation
• Show sensitivity ranges where the future cannot be observed
• Say when the available history is too young to support a claim

For a first conversation, describe the revenue decision you need to make.