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

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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