(Almost) Everybody Hates MMMs

Key Takeaways

• Traditional MMMs take six months, rely on many assumptions
• Micro MMMs deliver faster results with more data points
• Brands view MMMs as macro tools, not for micro‑optimizations
• Lack of granularity hampers CTV measurement in MMMs
• Vendors push MMM adoption as cross‑channel measurement solution

Pulse Analysis

The revival of marketing mix modeling reflects a broader shift toward data‑centric advertising. Early MMMs, pioneered in the 1990s by firms like Millward Brown, offered annual, high‑level insights but struggled with the rapid cadence of digital media. Recent advances—cloud‑based analytics, machine‑learning algorithms, and platform‑specific tools from Meta’s Robyn and Google’s Meridian—have birthed micro‑MMMs that can produce quarterly or even monthly outputs, promising marketers a more responsive view of spend effectiveness across TV, CTV, social, and retail media.

Despite these technical gains, industry leaders remain skeptical about MMMs’ practical utility. Executives such as NBCU’s Alison Levin and Keynes Media’s Dan Larkman note that six‑month model cycles still lag behind the real‑time decision loops of digital platforms, and that the models often gloss over nuanced brand effects like halo or creator cachet. The lack of granularity is especially pronounced for connected‑TV, where MMMs can only flag a channel’s success in binary terms, leaving media buyers without actionable insights for specific inventory or audience slices. Consequently, CFOs and media planners treat MMMs as a calibration instrument rather than a definitive buying guide.

Looking ahead, the consensus is that MMMs must evolve into hybrid measurement frameworks. By integrating granular attribution data from retail media networks, incrementality tests, and first‑party signals, brands can retain the macro‑level perspective of MMMs while gaining the micro‑level agility demanded by modern campaigns. As outcomes‑driven budgeting becomes the norm, the credibility of any MMM will hinge on its ability to deliver faster, more detailed, and cross‑validated insights that align with both strategic objectives and day‑to‑day media execution.