Marketing Diagnostic & Performance Review
A marketing diagnostic separates reported channel results from the quality of the measurement behind them—so decisions on budget, investigation or the next test rest on evidence that can support them.
What needs to be decided?
Which marketing signals are decision-useful, and which apparent performance may reflect measurement or attribution limits?
How the evidence is assembled
Inventory available channels, spend, funnel events and attribution rules; check definitions, coverage, deduplication, time windows and missingness before comparing performance.
What the work returns
Measurement map, data-quality caveats, channel and funnel diagnosis, and prioritized measurement or efficiency actions.
How it can inform action
What to keep funding, investigate, instrument or pause—and what cannot yet be concluded?
Define what is available before drawing conclusions.
- 01The exact decision, its owner and when it is needed.
- 02Relevant internal data, existing research and documented definitions.
- 03Audience, geography, category and comparison set appropriate to the question.
- 04Known constraints, access permissions and acceptable evidence quality.
When a marketing diagnostic helps.
Consider marketing diagnostics when platform reports disagree, recorded conversions grow without matching qualified leads or completed orders, a tracking change breaks comparison, or a budget decision rests on uncertain evidence. Start with the business question and the reliability of the available data, not an assumption that spending more will solve the problem.
A report is not the same as reliable measurement.
Performance reports describe what a platform or analytics setup recorded under its own definitions. A marketing diagnosis first checks whether events are consistently defined, captured, deduplicated and comparable across sources and time.
Attribution assigns credit according to a selected rule and window; it does not by itself show what would have happened without the marketing activity. If measurement is unreliable, correct or qualify it before changing budgets.
“Campaign X generated 40% more conversions, so its budget should double.” This is a hypothetical claim, not an observed client result. Before accepting it, reconcile the conversion definition and eligible population; check event coverage, duplicate counting, consent and tracking changes, attribution window and model, spend period, and whether downstream qualified outcomes agree. Platform-attributed conversions alone do not establish incremental lift or causality.
Bounded next test: after confirming event definitions and coverage, compare the same qualified outcome across a defined period or audience with an appropriate holdout or other defensible comparison where feasible. State the uncertainty; do not generalize beyond that test.
Bring context, not credentials or personal data.
- 01The decision to make, the decision owner and the period it covers.
- 02Aggregated, authorized spend, channel, funnel and outcome data; include metric definitions, date ranges and known changes.
- 03A current measurement map: analytics and ad-platform sources, event names, attribution settings and reporting conventions.
- 04The relevant offer, audience and business outcome, plus practical constraints and who can clarify the data.
Share only aggregated, authorized information through an agreed secure process. Do not submit passwords, access tokens, customer-level exports or other personal data in the contact form.
Prioritize what to fix, learn or leave alone.
- 01A measurement map and explicit data-quality caveats: what is comparable, missing, duplicated or uncertain.
- 02A channel and funnel diagnosis that distinguishes observed performance from measurement limitations and attribution claims.
- 03Prioritized actions scored by confidence, decision impact and effort, each with a proposed owner.
- 04A bounded next test or validation step, tied to the decision and success measure.
NOMAS diagnoses evidence and supports decisions; the client or its agency implements changes and operates advertising. A diagnosis does not guarantee return on investment or a commercial result. Scope, access and responsibilities are agreed before work begins.
What comes after the diagnostic?
The next step depends on the question that remains unresolved. If measurement data is usable but a defined campaign raises a message, audience or channel question, campaign intelligence may fit. If the question concerns friction at a particular customer stage, customer journey intelligence may fit. Need, inputs and boundaries follow the decision; the client and their team can use the diagnostic without commissioning another service.
What the evidence can—and cannot—say.
Attribution is not causality; analytics are only available when the client connects valid data sources.
Method, sample, sources, access and deliverables depend on the agreed scope. No specific sample size, result or public price is implied.
Use evidence where it changes the decision.
Turn the evidence into a direction worth executing.
A focused decision engagement that diagnoses the business and market, sets priorities, and translates the selected direction into an accountable plan.
Keep execution, evidence and decisions connected.
Ongoing decision support that turns agreed measurement into a review rhythm—not a reporting ritual and not outsourced execution.