Full Python Tutorial: Bayesian Marketing Mix Modeling (MMM) SPECIAL GUEST: PyMC Labs

*** LIMITED TIME OFFER *** 💥 Learn Python with Me: https://learn.business-science.io/2-course-python-production-track?el=youtube *** JOIN LEARNING LABS PRO *** 💥 GET THE DATA + CODE IN THIS VIDEO: https://university.business-science.io/p/learning-labs-pro?el=youtube Table of Contents: 00:00 Marketing Mix Modeling (MMM) Special Guest PyMC Labs 02:15 Agenda for Today 04:45 Meet PyMC Labs 25+ Team Consultancy 14:46 Matt's Background in Data Science 18:20 Bayesian Marketing Mix Modeling (MMM) and Business Problem (ROI) 26:57 Full Python Tutorial: Marketing Mix Modeling (MMM) Business Case Study 31:00 Data Definition: OOH, TV, Facebook, Google Search, etc 33:00 Exploratory Data Analysis (Time Series & Spend Analysis) 38:32 Feature Engineering (Time Series Features) 40:30 PyMC Marketing MMM Model Setup 48:40 MMM Model Fitting: DelayedSaturatedMMM Model 52:12 Post MMM Model Analysis and Visualizations 57:23 Business Application: Return on Ad Spend (ROAS) 1:02:38 Business Application: Budget Allocation 1:09:40 ROAS Optimization Budget Comparison vs Actual Spend 1:11:00 A $992,028 Profit Increase in 12 Months 1:12:00 Conclusions