32% Average ROI Lift

80-90% of the time, yes. We analyze how variations in sales drivers, both over time and across cities or regions, cause deviations in those same cities or regions over the next several months. If most, or at least your biggest budget items can be broken out by city or region, then we are in great shape. Here below is an outline of what is needed, but don’t worry if you’re unsure, our team can help assess readiness quickly.

Sales Data

1-2 years of history, by week or month, segmented by city or region or similar.

Marketing Data

1-2 years of history, by day or month, segmented by city or region or similar. Here, you are not on your own. Many MMM providers give you a template and then turn over data connection, integration, and prep to you. Not us. We will work closely with you to identify what data you need, to help you automate connections to it, and to pull the correct data. Some of your marketing channels will not have geo-segmented data, but the majority will. That should be okay. Within this data, we’ll also often want dimensions that call out the brand, the campaign, the ad type, etc. so that we can analyze the differential impact of these categories. Again, we’ll help you here.

Market Factors

In addition to the sales and marketing data, if there was a stock out, change in competitors, big price change, discounts/promotions or halo effects from other brands, etc., we’ll want to know about this and then can discuss how we’ll measure and control for these factors.

Everybody Eats uses a highly versatile and proven Marketing Mix Modeling approach grounded in disciplined econometrics and validated month after month by comparing our sales forecasts against actual sales data. Rather than measuring impact at the level of the individual (cookie data is too incomplete) or at the country (too few data points), we work at the Goldilocks level of cities or regions. This gives us a wide variety of customer populations that we can track over time so we can measure how much different marketing interventions cause sales to deviate from previous trend.

The safest way to know if you can trust our ROI estimates is by seeing how accurately they forecast sales month after month. We have a 95%+ track record in clients seeing the sales lift forecasted from changes they make. A big part of that is that we are conservative and 100% transparent with you about how confident we are in each finding, why, and how far you can leverage a finding before getting outside the realm of confident forecasting.

For single brands, our one-off MMM studies are €36,000 and our Speed Runner MMM are €45,000. Speed Runner is the one-off plus sales forecasting and continuous measurement, consultation with our team, and optimization throughout the year.

Volume discounts are available for optimization of multiple brands.

If you have a single brand but want to analyze the marketing success separately across multiple sales channels or product categories within that brand, we also conduct brand portfolio studies starting at €72,000.

MMM and Performance Marketing complement each other.

Performance Marketing’s level of granularity and detail makes it ideal for optimizing content versioning, selecting between content pieces, optimizing orchestrated customer journeys, etc. However, for reliable, or even directional, ROI across channels, campaigns, and target audiences, Performance Marketing is systematically inaccurate for two main reasons. 1) The lack of complete cookie history across publishers and over time and inability to stitch these together across sources to generate a holistic, cross-platform picture of touchpoints. 2) The exclusion from attribution models of offline sources, brand equity, and important market factors.

In contrast, Marketing Mix Modelling is too high-level to provide granular content recommendations, but by tracking all of the important factors at a city or region level, it is able to produce a forecast-reliable ROI estimate by channel, campaign, target audience, etc. It also provides insights into diminishing returns, cross-channel synergies or cross-brand halo effects, the impact of competitors, etc., etc.

No. While MMM is our core offering today, Everybody Eats can also support sales forecasting and will be introducing Inventory Supply and Demand Planning as a dedicated service offering soon. We also have extensive history optimizing production lines and other operational processes, but this has been done on more of a bespoke basis.

We’ve helped hundreds and hundreds of marketing organizations from almost every industry and in every continent except for Antarctica. MMM works very well with:

• Consumer Brands (CPG, Fashion, Tech & Durables, Retailers, etc.)
• Life Sciences and Consumer Health with HCP marketing and/or consumer marketing
• Direct to Consumer (D2C) brands (Fintech, Edtech, Mobile Apps & Games, etc.)
• B2B marketing orgs working to efficiently generate high volumes of leads.

Everybody Eats is purpose-built to deliver enterprise-grade insight without enterprise friction.

What sets us apart is the combination of:

• Proven analytics and modern technology that drive up to 20× productivity gains
• Accessible, scalable intelligence that lowers cost and complexity without lowering standards
• People-powered partnerships where our team is directly invested in outcomes, not just outputs

We don’t sell bloated platforms or black-box models. We work alongside your team to remove guesswork, accelerate decision-making and ensure every dollar invested has a clear, measurable impact.

Why it matters: You choose Everybody Eats when you want faster insight, confident decisions, and partners who act like owners, not vendors.