MMM Is Back: Why Modern Growth Teams Are Pairing Mix Models with Incrementality Testing

For a while, Marketing Mix Modeling (MMM) was dismissed as too slow, too academic, and too disconnected from the speed of modern growth. But the landscape has shifted. Privacy changes, signal loss from cookies, and pressure to prove ROI have pushed growth leaders back toward models that are causal, channel-agnostic, and privacy-proof.
MMM is back, but this time, it’s different. Modern teams aren’t just dusting off old econometrics. They’re combining mix models with incrementality testing to build measurement systems that are faster, more transparent, and directly tied to business outcomes.
Classic attribution tools like last-click or rules-based MTA can’t keep up with fragmented customer journeys. MMM steps in with:
The challenge? Traditional MMMs ran on quarterly cycles, required data science horsepower, and often failed to drive day-to-day decisions.
While MMM gives the big picture, incrementality tests answer the sharp question: Did this campaign actually cause incremental lift?
Marketers run geo-tests, holdouts, and audience splits to measure causal impact at the campaign level. Combined with MMM, incrementality serves as a calibration layer, keeping the model honest and giving leaders confidence that budget shifts will translate into real-world results.
Leading growth teams now see MMM and incrementality not as separate choices, but as complements:
This is where Violet Growth stands apart. Traditional SaaS MMMs are black boxes, and open-source MMMs demand heavy data science. Violet bridges the gap by offering:
The result: a measurement framework that’s not just statistical, but actionable. Growth leaders can trust it to guide budget allocation, campaign planning, and board-level strategy.
MMM is back because today’s growth leaders need more than vanity dashboards. But MMM alone isn’t enough. The teams winning in 2025 are pairing modern mix models with incrementality testing to build systems that are:
Violet Growth delivers exactly that: giving you a single, multi-dimensional view of performance and profitability, backed by the causal proof your CFO will trust.
Curious how this looks in practice? Explore Violet’s case studies.