The right measurement partner translates statistical output into business decisions you can act on. Look for a team that explains methodology clearly, validates their models against actual results, and stays involved in implementation, not just delivery.
Marketing Mix Modelling projects are significant investments of time and money. Choosing the wrong partner wastes both. A bad measurement partner produces a model that looks impressive in a slide deck but cannot tell you what to do with your budget next quarter. A good partner becomes a decision-making tool that changes how you plan and spend for years. The differences are visible in how they pitch and how they work.
Define what you need before you start looking
Before approaching any measurement partner, be clear on what you want to get out of the project. Are you trying to justify your current budget to the board? Optimise allocation across channels? Build an ongoing quarterly measurement cadence? Each of these has different implications for the type of model, the data required, and the ongoing support you will need. A partner who is excellent for one objective may be wrong for another.
What to look for in a measurement partner
- Transparency about methodology: they should explain their modelling approach in plain English and answer technical questions without defensiveness.
- Model validation practice: they routinely test their models against held-out data to verify accuracy before delivering results.
- Commercials experience in your category: measurement nuances differ between retail, B2B, financial services, and FMCG.
- Data agnosticism: they work with your existing data sources rather than requiring you to adopt a specific platform.
- Ongoing support: they offer quarterly re-runs and scenario planning support, not just a one-time deliverable.
- References from clients at a similar scale and maturity to yours.
Red flags to watch for
Be cautious of partners who promise results before they have seen your data. A credible measurement firm will want to understand your data quality and business context before committing to what the model will deliver. Partners who lead with a model output that is always favourable to their own services (media agencies running MMM are a common example of this conflict) deserve extra scrutiny.
Also be wary of partners who cannot explain their model in terms a marketing director can understand. Complex methodology is not a virtue if the output cannot be explained to your CFO or board. The model exists to inform decisions, not to impress statisticians.
Ask any prospective partner to show you a model validation report from a recent client engagement. A validation report shows how closely the model predicted actual sales in a period it was not trained on. Partners who cannot or will not show this have not validated their models.
The right way to evaluate proposals
When comparing proposals, focus on three things: the proposed modelling approach and its assumptions, the validation method, and the ongoing support structure. Cost matters but should not be the deciding factor. A cheap model that gives you wrong answers is far more expensive than a well-priced model that reliably guides your budget decisions. Ask each bidder to walk you through a past client case study in detail, including where the model was wrong and what they did about it.
Structuring the relationship for long-term success
The best measurement partnerships are long-term. A model built once and never updated degrades as your marketing mix and market conditions change. Plan for quarterly or bi-annual model refreshes and build that into your contract from the start. Also plan for a knowledge transfer: your internal team should understand the model well enough to interrogate it, even if they do not build it themselves.
Should we use an independent measurement consultant or a media agency that offers MMM?
Independent is strongly preferable. A media agency that also buys your media has a conflict of interest when the model is used to decide how to allocate between their channels and others. An independent partner has no financial stake in the outcome of the model and can provide objective recommendations. If you must use a media agency, ensure the model is independently validated.
How long should a first MMM project take?
For a business with clean data and 5 to 10 channels, a well-run project should deliver initial results in 8 to 12 weeks from data handover. Businesses with data quality issues, more channels, or complex business structures may need 16 to 20 weeks. If a partner promises results in 4 weeks with no caveats, ask how they propose to validate the model in that timeframe.
How do we know if the model is actually being updated, or if we are getting the same output with new dates?
Ask for a change log with each model refresh that explains what new data was incorporated, whether any model parameters changed, and what the updated validation metrics are. A model that never changes its parameters or channel attributions despite new data being added may not be a truly refit model. Genuine re-runs show variation in outputs as new data shifts the estimated relationships.
