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Part of Building a marketing mix model that survives scrutiny, step by step
Marketing mix modeling checklist: the items people skip
Marketing mix modeling checklist for growing companies covers decisions, data, causal roles, diagnostics, calibration, economics, action, records, and review.
What to take away
- A growing company should model fewer treatments well before splitting every channel.
- The checklist must cover causal assumptions and economics, not only data formatting.
- No budget action should leave without limits, ownership, and a review date.
Marketing mix modeling checklist use should begin before a vendor brief is issued. A concise gate helps a growing company decide whether it has enough decision clarity, data history, variation, and operating capacity for a useful project.
Readiness and delivery checklist
| Stage | Required check |
|---|---|
| Purpose | Decision, owner, date, scope, and prohibited claims written |
| Outcome | KPI, source, grain, value, reversals, and maturity approved |
| Treatments | Spend and exposure map to stable, controllable definitions |
| Controls | Confounders, predictors, and mediators reviewed with domain experts |
| Quality | Missing data, corrections, breaks, and coverage reconciled |
| Model | Priors, lag, saturation, seasonality, and candidates recorded |
| Review | Diagnostics, sensitivity, uncertainty, and experiment evidence assessed |
| Action | Constraints, scenario, approval, and execution owners confirmed |
| Archive | Code, inputs, versions, model card, and correction route retained |
| Learning | Actual spend, conditions, outcome, and next decision reviewed |
Measuring marketing mix modeling sets out what each of these checks is testing. Google's explanation of required MMM assumptions describes conditional exchangeability, causal consistency, and no interference in Meridian's causal framework. It also explains why control selection and the stated treatment matter to the effect being estimated.
MMM readiness gate checklist
- Purposedecision, owner, date, scope
- OutcomeKPI, source, grain, value
- Treatmentsstable, controllable definitions
- Controlsconfounders, predictors, mediators reviewed
- Qualitymissing data, breaks reconciled
- Modelpriors, lag, saturation, seasonality
- Reviewdiagnostics, sensitivity, uncertainty
- Actionconstraints, scenario, approval owners
Set a minimum viable scope
- One primary KPI
- A small set of decision-relevant treatments
- Stable weekly or geo-period keys
- Documented price, promotion, and distribution changes
- A finance-approved value and cost basis
- One bounded allocation or measurement decision
Meta's analyst guide to MMM discusses data review, feature engineering, model selection, diagnostics, and output interpretation for Robyn. It also says analyst judgment remains necessary despite automation.
Minimum viable MMM scope
- One primary KPI
- Small set of decision-relevant treatments
- Stable weekly or geo-period keys
- Documented price, promotion, distribution changes
- Finance-approved value and cost basis
- One bounded allocation or measurement decision
Before approval, ask a reviewer who did not build the model to trace one recommendation from source data to fitted result to feasible action. Ask a channel owner to identify delivery limits and a finance owner to restate the economic measure.
Waving an item through is where marketing mix modeling mistakes usually start. Mark each item pass, conditional, fail, or not applicable. A conditional item needs an owner, deadline, and claim restriction. A failed item affecting the KPI, causal design, or feasible action should stop the decision.
Record the gate result
For every item, add the evidence location, reviewer, decision date, and next review. A checked box without proof cannot protect a release. Stop the work when a mandatory privacy, security, data-quality, accessibility, or correction condition fails.
The W3C Privacy Principles statement gives system designers a shared vocabulary for privacy and warns against shifting privacy work onto individuals. Apply that principle to the data flow behind the checklist. It does not replace the law, contract terms, or consent analysis.
CISA's software acquisition fact sheet points buyers toward development practice, supply-chain exposure, deployment, and vulnerability management. Add those questions to the checklist review. The government context does not replace a buyer's own testing or contract review.
Keep the evidence record beside the decision so a reviewer can reproduce the reasoning. Set the next review date and name the change that triggers an earlier check. Common marketing mix modeling questions covers the items reviewers query most.
Common questions
How much history should a growing company have?
It depends on cadence, seasonality, variation, geography, treatments, and controls. Assess information content, not a universal month count.
Should every channel be separate?
No. Combine or omit weakly measured channels when finer estimates would be unstable or irrelevant to the decision.
What is the final checklist item?
Schedule the mature-outcome review and preserve who approved the model, scenario, limits, and action.
