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The twenty10 UK MMM Rankings

Our independent read on the UK Marketing Mix Modelling market: who's serious, who's selling a dashboard, and who's worth a shortlist.

twenty10··8 min read

The UK MMM market has never been noisier. Every measurement conversation now involves at least four vendor pitches, half of them from platforms that were doing something else eighteen months ago. This is our honest, practitioner-side read on who is actually building measurement worth trusting - and who is riding the wave.

We rank on four things: methodological rigour, speed of refresh, actionability of output, and independence (i.e. is the vendor also selling media, or a platform that benefits from a particular answer).

Tier 1 - Serious, defensible, worth a shortlist

The teams in this tier build Bayesian MMM with priors calibrated by experiments, refresh on a monthly cadence, and can defend every coefficient in a P&L conversation. They tend to be smaller, boutique, and staffed with practitioners who have built measurement inside an advertiser rather than only in an agency.

Common characteristics: transparent methodology, code-first pipelines, monthly refresh, direct integration with geo/lift testing, no conflict of interest with media buying. Pricing usually falls in the £8k-£20k per month retainer range for a live model, sometimes with a build fee up front.

Tier 2 - Enterprise SaaS

The large incumbents - Nielsen, Analytic Partners, Mass Analytics, and the newer wave of platform-native tools. Turnkey, well-supported, defensible in a procurement process. Slower to refresh, more opaque than Tier 1, and often priced for a £200k-£500k annual commitment.

They earn their place on the shortlist for advertisers who need audit trails, compliance, and a large support footprint. They lose their place when the model refreshes so slowly that recommendations arrive after the decisions have been made.

Tier 3 - "AI-powered attribution"

A rapidly-growing category that markets itself as an alternative to MMM. The methodology is usually a black box, the validation story is thin, and the pitch typically leads with a dashboard rather than a model.

Some of these tools have a place as a fast-feedback layer alongside a proper MMM. As a standalone measurement system, they are rarely defensible to a CFO.

Tier 4 - Platform-conflicted

Tools built by, or heavily reliant on, a single ad platform. Useful for tactical optimisation within that platform. Not the right place to answer "should we cut Meta and put it into TV?".

What this means if you're buying

Three practical filters, in order:

  1. Ask to see a model - not a dashboard, not a case study, an actual build. Vendors that pivot to demoing a UI when asked this are the ones to avoid.
  2. Ask how the model is calibrated - the answer should include experiments, geo tests, or platform lift studies. "Bayesian priors from our proprietary database" is not enough.
  3. Ask who owns the model at the end of the contract - if the answer is "we do", you are buying a dependency, not measurement.

Our full rankings, with named tiers per vendor, are available to advertisers on request - we don't publish them openly because the market moves too fast and we don't want to defame anyone whose product has changed. Get in touch if you want the current version.

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