Episode 20: How Incrementality and MMM Are Changing Marketing Analytics

Episode 20: How Incrementality and MMM Are Changing Marketing Analytics

From The Data And AI Podcast by Harnham & Rockborne

September 23, 2025 · 54 min · Episode 20

About this episode

Lloyd Dunstall interviews Matthew Nixon about the evolving landscape of marketing analytics through incrementality and Marketing Mix Modelling.

This week on Harnham’s Data & AI Podcast, Lloyd Dunstall sits down with Matthew Nixon, Head of Analytics, EMEA at Incubeta, to dive into one of marketing’s toughest challenges: proving impact when the data is fragmented and signals are fading. Matt explains why effective measurement now relies on combining three approaches: attribution, Marketing Mix Modelling (MMM) and incrementality. Together, they give a clearer view of performance and help businesses build trust in their numbers. Highlights include: Why moving beyond “just another dashboard” is key to linking marketing data with business growth. How MMM, attribution and incrementality create a common language with CFOs and senior leaders. The mix of technical depth, commercial awareness and clear storytelling that defines today’s analytics roles. Real-world results: Imperial London Hotels achieved a 73% revenue uplift, while Les Mills drove a 570% increase in new customers through a long-term measurement framework. Looking ahead, Matt reflects on how AI is already embedded in measurement tools and why the future lies in more continuous, real-time models. He also shares advice for clients on how to get started, and for…

People in this episode

Host: Lloyd Dunstall

Guest: Matthew Nixon

Topics covered

  • marketing analytics
  • incrementality
  • Marketing Mix Modelling
  • data measurement
  • business growth
  • analytics roles

Keywords

  • incrementality
  • Marketing Mix Modelling
  • attribution
  • marketing analytics
  • data measurement
  • business growth
  • real-time models

Mentioned in this episode

Organizations: Incubeta, Imperial London Hotels, Les Mills

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