What is Marketing Mix Modeling?

Marketing Mix Modeling (MMM) was introduced in the 1980s to match spikes and dips in sales to actions taken in marketing (as well as external factors).

Make data-driven decisions about how to optimize your media budget
Works even for hard to measure channels like TV, podcasts, and influencers
No user data needed, so it's not affected by iOS14, GDPR, and adblockers

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Previously used mostly by Fortune 500 advertisers spending millions on SuperBowl ads, MMM is now being reinvented by companies like Facebook (Meta), Uber, and Google.

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$35/m for unlimited access to 18 Marketing Mix Modeling courses (plus 70 more!).

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Marketing Mix Modeling In Excel / GSheets (in 7 Weeks)

Follow our Marketing Mix Modeling learning path, which takes you through 7 courses to master the basics. You'll be assigned tasks for fictional companies based on real-world experiences, and get to practice on simulated data before applying your new skills back at your normal job.

Learn how to work with an MMM expert

Week 1: See what MMM output looks like

FREE

Learn how to solve attribution post iOS14

Week 2: Build your first MMM in GSheets

Learn how the MMM process works start to finish

Week 3: Complete an end to end MMM project

Cover the Basics of MMM

Week 4: Diminishing Returns

Are channels saturated at high spend?

Week 5: Seasonality

Do you sell more when there's hot weather?

Week 6: Externalities

How do you account for COVID?

Week 7: Dummy Variables

What about holidays and promotions?

"The real value in this course is that Michael is an actual practitioner - he's not just teaching MMM, but a better way to handle large marketing data sets."

Conrad Wadowski
Founder of Advice, Teachable, GrowHack

"It's rare to have a marketing genius like Mike taking the time to share his secret weapons which allowed him to scale a 45+ person world-class agency. Trust me, his course is worth every cent."

Johannes Radig
Growth Marketer at PayPal, Truly and mentor at 500Startups

"“The marketing process requires a) smart strategy, b) well thought out tests, then c) collection and analysis of data. Part c) quickly becomes very time-consuming - and there’s only so much you can do in Excel. That’s where Vexpower comes in.”"

Will Bancroft
Head of Marketing at Newswhip, Openfolio

“The best part was that I could complete it in 2 hours. I got buy-in from my team to run the experiment and we went live with it within the same week. No month-long courses to comb through.”

Khushi Lunkad

Growth Marketing Lead at Streamline

Meet Your Instructor: Michael Taylor

I've built Marketing Mix Models for Monzo Bank, Booking.com, Time Out, The AA, Playground Sessions, Rev.com, Breeo, Groove Life, Brandfolder, Growth Tribe & others. I've also advised Google, Appsflyer, & Recast on MMM, and teach the MMM course on LinkedIn Learning.

Advanced Learner? 👇

Marketing Mix Modeling In Python & R (+11 Weeks)

For advanced users who are learning to code and want to dive deeper into MMM, we have 11 more courses you can take to really master the topic. You'll learn everything from using popular libraries like Facebook (Meta) Robyn, to coding your own custom tool, including the custom scripts I use for my own consulting work.

Marketing Mix Modeling in 7-18 Weeks

Learn by doing.

Practice new skills every week by solving real problems for fictional companies, with expert tutorials, templates and scripts.

What is Marketing Mix Modeling?

Marketing Mix Modeling In Excel / GSheets (in 7 Weeks)

Learn how to work with an MMM expert

Week 1: See what MMM output looks like

Learn how to solve attribution post iOS14

Week 2: Build your first MMM in GSheets

Learn how the MMM process works start to finish

Week 3: Complete an end to end MMM project

Cover the Basics of MMM

Week 4: Diminishing Returns

Week 5: Seasonality

Week 6: Externalities

Week 7: Dummy Variables

"The real value in this course is that Michael is an actual practitioner - he's not just teaching MMM, but a better way to handle large marketing data sets."

"It's rare to have a marketing genius like Mike taking the time to share his secret weapons which allowed him to scale a 45+ person world-class agency. Trust me, his course is worth every cent."

"“The marketing process requires a) smart strategy, b) well thought out tests, then c) collection and analysis of data. Part c) quickly becomes very time-consuming - and there’s only so much you can do in Excel. That’s where Vexpower comes in.”"

Meet Your Instructor: Michael Taylor

I've built Marketing Mix Models for Monzo Bank, Booking.com, Time Out, The AA, Playground Sessions, Rev.com, Breeo, Groove Life, Brandfolder, Growth Tribe & others. I've also advised Google, Appsflyer, & Recast on MMM, and teach the MMM course on LinkedIn Learning.

Marketing Mix Modeling In Python & R (+11 Weeks)

Learn how to do MMM in R

Week 8: Try Facebook's Robyn MMM Library

Learn how to do MMM in Python

Week 9: Try Google's LightweightMMM Library

Learn how to do MMM in Python

Week 10: Try Uber's Orbit MMM Library

Alternative Types of MMM

Week 11: Log Log MMM

Week 12: Geo Level MMM

Week 13: Bayesian MMM

Week 14: Deep Learning MMM

Advanced MMM Techniques

Week 15: Interaction Effects

Week 16: Feature Selection

Week 17: Budget Optimization

Week 18: Weibull Adstocks