Marketing Mix Modelling vs Multi-Touch Attribution: How to Choose

People keep treating MMM and multi-touch attribution like they're competing for the same job. They're not, really. They answer different questions, on different timescales, with different blind spots, and for most companies past their early growth stage the practical answer is to run both, in sequence, with a pre-agreed rule for what you do when the two methods disagree (because they will).

What each one actually measures

Multi-touch attribution (MTA) credits individual user touchpoints inside your tracked funnel. It is bottom-up, click-driven, and good at telling you which campaigns inside a channel are pulling weight. It gets weaker the more your funnel touches happen outside what you can cookie or pixel, meaning iOS 14, third-party cookie deprecation, and any LinkedIn or YouTube exposure has already broken half of it.

Marketing mix modelling (MMM) is top-down. It regresses spend, organic baselines, seasonality and external factors against revenue at a market or weekly level. It is excellent at telling you which channels drove incremental volume, including channels MTA cannot see. It is poor at telling you which campaign or keyword inside a channel is winning.

Pick MTA when…

You have high-frequency conversions (e-commerce, freemium SaaS, app installs), most of your spend is in trackable click-based channels (Google, Meta), and you need weekly tactical decisions: which keyword to bid on, which creative to scale, which audience to cut. MTA is the closer-loop tool.

Pick MMM when…

You have long sales cycles (B2B enterprise), large brand or upper-funnel investment (TV, OOH, premium video), or you are running into measurement loss from privacy changes. MMM gives you a defensible answer to "should we spend more on X" at the channel level, even when you cannot track every click.

Why most growing B2B teams need both

For a B2B SaaS company spending £5M+ a year, MTA tells you which Google campaign to cut. MMM tells you whether Google is the right channel at all. They answer different questions and they will sometimes disagree, that disagreement is information, not a contradiction.

Run MMM quarterly to set channel-level budget allocation. Run MTA continuously to optimise inside each channel. Have a written rule for what you do when they conflict (typically: trust MMM on channel-level, trust MTA inside the channel).

The minimum viable build for both

For MTA, start with a documented credit rule, your CRM as the source of truth, and a reconciliation table in your warehouse. For MMM, you need at least 18 months of weekly spend-and-revenue data and a willingness to use Robyn, LightweightMMM or a vendor, not a homemade Excel regression.

What to avoid

Do not let the platforms (Google, Meta) tell you which one to use. Their preferred answer is always platform-reported conversions. Do not buy MMM-as-a-service from anyone who cannot show you the model itself. And try to resist treating the disagreement between the two as a bug. The disagreement is genuinely informative; it tells you where your tracking blind spots are.