Observed Signal · Jun 22, 2026 · Industry Analysis · Source: VideoWeek · Impact: 3/5 · Sentiment: Positive
Five Lessons from Marketing Mix Modelling for Marketers
An opinion piece by Tobin Thomas (CEO & Founder, Lifesight) published on VideoWeek argues that modern marketing mix modelling (MMM) corrects common measurement biases by capturing brand and cross-media effects that last-click attribution misses. The article lists five core insights: brand effects (TV/video/audio) are measurable via MMM; high ROAS channels can have low incremental value; channels interact as a system rather than acting independently; overspending can reduce marginal returns; and contemporary MMM is sufficiently advanced to support cross-media decision-making across CTV, video, social, retail media, search and offline channels. The author emphasizes acting on model outputs — including defunding beloved channels when models indicate low contribution — rather than simply decorating dashboards.
Practical measurement guidance on MMM influences budget allocation, attribution and cross-media measurement practices across advertisers and agencies, but it is an analytical perspective rather than a platform policy or major product launch.
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Key Takeaways & Evidence Grounding
- Article published on VideoWeek on 2026-06-22.
- Author Tobin Thomas is identified as CEO and Founder of Lifesight.
- The piece presents five observations about Marketing Mix Modelling (MMM) including that MMM captures brand impact and cross-media effects missed by last-click attribution.
- The article cites geo holdout tests as an example where high retargeting ROAS can coincide with near-zero incrementality.
- The author states modern MMM uses richer data, faster refresh, and improved modelling math to support cross-media measurement across CTV, video, social, retail media, search and offline.
Connected Companies & Entities
2 Entities mappedOntology Mapping & Concepts
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