As third-party cookies disappear, marketers are rediscovering a 90’s tool with some modern updates.

Marketing Mix Modelling (MMM) has been deemed as a ‘big brand tool’ that was complex, and slow, however MMM is having somewhat of a renaissance.

This is due to third-party cookies disappearing, multi-touch attribution becoming more limited, and marketers requiring more and more trusted , privacy-safe measurement.

Unlike cookie-based tracking, MMM doesn’t rely on user-level data. Instead, it analyses aggregated outcomes to isolate the true impact of media, pricing, and seasonality – one of the key reasons behind its recent resurgence. At the same time, advances in modelling techniques, increased computing power, a shift toward causal inference over simple statistical fit, and improved visualisations are helping to bring MMM into the marketing toolkit.

What's changed

  • There are open-source toolkits being developed by the likes of Google and Meta i.e. Meridian and Robyn respectively that are making more MMM accessible and visible.
  • Bayesian methods have become more common place and bring advantages – enabling domain knowledge to be integrated into the modelling process.
  • Teams are realising MMM doesn’t need to be a quarterly black box – it can be always on.
  • It’s not about choosing between MMM and digital attribution. It’s about building a resilient, multi-layered measurement strategy.
  • Find out more

    Marketing Mix Modelling is a powerful tool for optimising your marketing strategy and improving ROI. At Bonamy Finch we have a wealth of experience and a strong view on why using an external agency to handle this analysis is beneficial.  So if you’re interested in finding out more please don’t hesitate to get in touch, or contact Steven Pesarra directly at steven.pesarra@bonamyfinch.com.

    Steven Pesarra

    Director, Data Science