Model Your Marketing Mix with Machine Learning | Pecan AI

Model Your Marketing Mix with Machine Learning

Enhanced with the power of AI and machine learning, MMM guides data-driven decisions that improve budget utilization and advertising outcomes.

Gartner says adding four or more channels to an integrated campaign can increase campaign performance by up to 300%.

That sounds fantastic. But which channels? And how much spending should you allocate to each? Can you feel confident about those decisions?

Today’s media landscape makes it tough for marketing teams to accurately determine if current media channels have reached saturation points or whether adding a channel would produce incremental results.

There’s a solution to this challenge, and AI has made it better than ever. Marketing mix modeling (MMM), also known as media mix modeling, lets marketers measure the impact of every channel, even offline channels, in multi-channel campaigns. Enhanced with the power of AI and machine learning, MMM guides data-driven decisions that improve budget utilization and advertising outcomes.

Watch this live discussion of marketing mix modeling (MMM), where we’ll explore:

  • How MMM overcomes modern-day measurement challenges
  • How AI-powered marketing mix modeling can assist in making data-driven decisions
  • Success stories that showcase how MMM optimizes ad budgets and drives incremental lift

This webinar is a must-watch for marketers who want a deeper understanding of how MMM can help them navigate the ever-changing landscape of digital advertising.

Speakers

Linor Ben-El
ML Product Manager

Noam Chiger
MMM Technical Lead

Watch the recording now