Marketing MIx Modeling with Python : Master the art of MMM and Drive ROI with Python

by Govind Sharma

Kindle Book Mix Modeling with PythonEnd-to-End Machine Learning ImplementationAre you looking to understand how marketing spend actually drives sales?Do you want to build data-driven marketing strategies using Python?This book is a complete, practical, and hands-on guide to Marketing Mix Modeling (MMM) using Python — designed for data scientists, marketing analysts, business analysts, and decision-makers.Unlike theory-heavy books, this guide focuses on real-world implementation, explaining how to go from raw marketing data to actionable budget decisions using machine learning.🔍 What You Will Learn✔ Fundamentals of Marketing Mix Modeling (MMM)✔ Understanding baseline vs incremental sales✔ Media and non-media driver modeling✔ Adstock and saturation concepts with Python✔ Feature engineering for marketing data✔ Regression Ridge, Lasso, ElasticNet✔ Machine learning models for MMM✔ Channel contribution analysis✔ ROI & ROAS calculation✔ Budget optimization and scenario planning✔ Stakeholder-ready reporting and visualization✔ End-to-end MMM project case study✔ Automation and production-ready MMM pipelines Why This Book Is Different✅ End-to-End Python Implementation – no black-box theory✅ Business-Focused Insights – not just model accuracy✅ Practical Code Examples – easy to adapt for real projects✅ Visualization & Reporting – stakeholder-friendly outputs✅ Automation & Advanced Tips – industry-level approach✅ 100% Original Content – Kindle-safe and copyright-free🛠 Who This Book Is ForData Scientists & Data AnalystsMarketing Analysts & Growth TeamsBusiness Analysts & ConsultantsMBA & Analytics StudentsProfessionals transitioning into Marketing AnalyticsNo advanced math background required — Python and business logic are explained step-by-step.Tools & Technologies UsedPythonPandas, NumPyScikit-learnMatplotlibMachine Learning & Statistical Modeling What You’ll Be Able To Do After Reading This Book✔ Qua

67 pages, Kindle Edition

Published December 30, 2025