Why Marketing Mix Modelling for FMCG matters more now then ever
FMCG is structurally different from most other categories using MMM. The pressures on the industry right now are also different from anything we’ve seen in the last twenty years.
Private label is now the default, not the “cheap option”.
In several Nordic and European grocery categories, private label exceeds 35–40% volume share. Branded FMCG is no longer competing on “premium vs budget” – it’s competing on relevance, distinctiveness, and brand equity. Yet a large share of brand budgets is still going into short‑term promotion.
Retailer media networks are pulling money out of brand‑building.
Trade investment used to fund slotting, joint promotions, and price support. Now a growing share goes into retailer‑owned media platforms – optimised on last‑click or last‑basket attribution. The bias towards short‑term, retailer‑attributable activity is strong, and most teams lack an independent view of whether that bias is actually profitable.
Inflation has compressed promotional ROI.
Higher base prices mean deeper discounts are needed to achieve the same uplift – and more of that uplift is borrowed from future periods, not incremental growth. Many FMCG teams are now running promotions that quietly destroy value. Without robust measurement, nobody can see which ones.
Brand equity erodes slowly – and then suddenly.
Years of promotional dependence don’t show up in the numbers quarter to quarter. They show up as a flat base sales line, then a declining one, then a market share problem. By the time the P&L flags it, you are years behind.
MMM is one of the few methods that can quantify all of this in one consistent framework. As digital attribution weakens under privacy constraints, it is also becoming the only reliable way to do so across channels.
Five questions only MMM can answer for FMCG marketers
These are the questions our FMCG clients come back to again and again – and that no other measurement framework answers with the same rigour.
1. What is the real ROI of trade promotion vs media?
Most FMCG businesses spend more on trade than on media. In many categories the ratio is 2:1 or higher. Trade is often measured in isolation by the trade team; media by the brand team. They rarely meet on the same axis.
MMM puts them on the same axis. For the same krona, it shows how much incremental sales came from a price promotion vs a TV flight vs paid social vs a retailer display. The first time most teams see this, the conclusion is uncomfortable: a meaningful share of trade spend is subsidising sales that would have happened anyway.
2. Are you stuck on the promotion treadmill?
The simplest diagnostic for promotional dependence is the ratio of base vs incremental sales.
- A healthy branded FMCG business often sits around 50–70% base sales.
- A business below ~40% base is on the treadmill: it can’t stop promoting without losing share, and every new promotion makes the next one less effective.
MMM is the only tool that gives you this number with credibility. Once you have it, you can have a different conversation with sales, trade and finance about how you grow.
3. How much of your growth is brand‑building vs activation?
Les Binet and Peter Field’s IPA work suggests that, for most categories, the long‑term optimum is around 60:40 in favour of brand building. Most FMCG brands sit closer to 30:70. Many don’t realise it.
Marketing Mix Modelling lets you:
- Measure your actual split,
- Model the long‑term effect of changing it,
- Quantify the multi‑year sales impact of brand investment that performance reporting will never see.
4. Where are TV, digital and trade on the saturation curve?
Every channel has a point of diminishing returns. In FMCG the question is rarely “does TV work?” – it’s “where does TV stop paying back, and what should we do with the next incremental million?”
MMM saturation curves answer this directly. A frequent pattern we see:
- Paid social and search saturate faster than expected.
- TV, especially in categories with lower household penetration, often has more headroom than the team assumes.
5. What does NPD actually do to your portfolio?
New product launches are hard to measure cleanly.
- Did you grow the category?
- Take share from competitors?
- Or mostly cannibalise your own SKUs?
Standard reporting can’t separate these effects. With the right portfolio‑level specification, MMM can.
Why FMCG is where MMM works best
Not every business is a good candidate for MMM. FMCG usually is.
You already have the data.
Most FMCG businesses have several years of weekly sales data by market and often by SKU, detailed trade spend, and media plans with reach and frequency. That is the foundation MMM needs. Many other categories don’t have it at this depth.
Your mix is broad and mostly non‑clickable.
TV, OOH, sponsorships, in‑store, trade promotion, retailer media, paid digital, organic – the mix is diverse, and a large part of it never produces click data. MMM puts all of it on the same footing.
Aggregate measurement fits how you operate.
FMCG has never relied on user‑level tracking or logged‑in IDs. Privacy headwinds hit DTC and app‑based models much harder than grocery retail. MMM has always been the right tool here; the difference now is that alternatives are weakening.
Brand equity is your main defence.
In FMCG, the “base” component of MMM is essentially a financial expression of brand equity. In a world of strong private label, that is your moat. Knowing how choices in media and promotion affect that base is critical.
What FMCG MMM delivers in practice: the Nepa pattern
Across our FMCG clients, Nepa’s MMM projects typically deliver double‑digit improvements in marketing ROI from reallocation alone – before any extra budget is added.
The pattern is consistent:
- Trade spend is rebalanced toward fewer, sharper promotions with more depth and better mechanics.
- TV is usually maintained or increased, having been undervalued without a holistic model.
- Paid social is recalibrated to incremental contribution rather than platform‑reported ROAS.
- Brand‑building investment is protected – with a stronger business case than the team had before.
Case study: Hemköp – connecting brand equity and sales
Hemköp, one of Sweden’s leading grocery retailers, had high brand recognition but limited differentiation in a crowded market.
Working with Nepa, Hemköp combined Marketing Mix Modelling with a Brand Asset Study and Campaign Evaluation:
- MMM quantified the impact of TV, digital, trade promotion and retailer media on short‑term sales.
- Brand tracking and asset analysis explained why certain campaigns built lasting brand value while others did not.
- Together, they revealed which media and messages genuinely strengthened Hemköp’s position – and which mainly drove short‑term deals.
The outcome was a clearer picture of Hemköp’s position in shoppers’ minds, a rebalanced plan that protected equity‑building activity, and a budget argument anchored in both sales and brand metrics. Read the full case here.
FMCG‑specific pitfalls to avoid in MMM
Standard MMM, applied without category sensitivity, often produces misleading conclusions in FMCG. The main issues we see:
- Treating all promotions as one variable
A “20% off” in week 14 is not the same as “20% off + end‑of‑aisle display + leaflet feature”. Promotion intensity needs to be decomposed into price, display and feature – or the model will systematically misattribute uplift. - Ignoring distribution dynamics
New listings, delistings and range changes drive shifts in sales that are unrelated to media. If weekly numeric or weighted distribution is missing from the model, those effects are often attributed to whatever channel was active that week. - Mixing levels (SKU vs brand vs portfolio)
The right level of modelling depends on the decision:
- Media optimisation → usually brand level.
- Pricing and promotion → often SKU level.
- NPD impact and cannibalisation → portfolio level.
Trying to answer all three in a single model forces unhelpful compromises.
- Excluding competitor activity
Your sales don’t move only because of what you do. Competitor TV, pricing and distribution changes all matter. The best FMCG models include competitor and/or category variables; without them, competitor‑driven effects are misattributed. - Treating MMM as an annual project only
A once‑a‑year MMM is a planning input. For categories with weekly promotional cycles, a model that updates monthly or quarterly is much more valuable as a management tool.
How to start: a practical roadmap to Marketing Mix Modelling for FMCG
If you are commissioning your first Marketing Mix Modelling for FMCG, or upgrading an existing one, sequence matters.
- Audit what you already have
Most FMCG businesses underestimate their readiness. You almost certainly have:
- Several years of weekly sales and price data,
- Trade promotion records,
- Media plans and costs.
The main gaps tend to be distribution data and competitor inputs – both solvable via panel data (e.g. Nielsen, IRI) or equivalent.
- Be clear about the decisions the model must support
“Optimise the media plan” is different from “build the case for a brand‑led portfolio strategy”. Different decisions need different granularity, KPIs and stakeholders. - Put the brand question on the table early
If your current measurement is focused on short‑term sales response, an MMM with brand equity in scope will tell a different story. Make sure stakeholders expect and welcome that before the first results land. - Plan for continuous use, not a one‑off project
An annual MMM is a snapshot. A continuously updated MMM is a steering tool. The cost difference is smaller than many teams assume; the strategic value difference is much larger. - Connect MMM to brand tracking
Brand health metrics – awareness, consideration, preference, salience – can be used as inputs in the model. This is where Nepa is strongest: linking brand tracking to MMM so FMCG marketers can see a clear line from equity‑building activity to commercial outcome.
The bottom line for Marketing Mix Modelling for FMCG
MMM is not new to FMCG. It is the foundation. But many organisations are still running a version designed for another era – fewer channels, simpler competitive dynamics, slower cycles.
The FMCG marketers getting ahead now are those who have upgraded:
- Portfolio‑appropriate model structures,
- Continuous refresh,
- Brand equity integrated as an input,
- Trade promotion properly decomposed,
- Competitor effects controlled for.
The reward is what we typically see across our client base: measurable double‑digit ROI uplift, a defensible case for brand investment, and budget decisions made with the same confidence finance has when they read the P&L.
Ready to see what MMM could do for your FMCG brand?
Nepa works with leading FMCG and CPG brands across Europe, combining Marketing Mix Modelling with brand tracking and campaign evaluation. Our FMCG clients typically see significant ROI improvements from better allocation alone.
