| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1 - FOUNDATIONS | |||
| 1 - What Marketing Mix Modeling Is and Why It Matters.mp4 | 76.7 MB | ||
| 10 - HOW AGENCIES ACTUALLY BUILD THESE | |||
| 2 - DATA | |||
| 3 - Building the MMM Dataset - Variables, Granularity and Sources (Description).html | 921.6 B | ||
| 3 - Building the MMM Dataset - Variables, Granularity and Sources.mp4 | 66.3 MB | ||
| 3 - MODELLING IN EXCEL | |||
| 4 - FROM MODEL TO MONEY | |||
| 10 - Charting Response Curves and Adstock in Excel (Description).html | 921.6 B | ||
| 10 - Charting Response Curves and Adstock in Excel.mp4 | 54.2 MB | ||
| 11 - Contribution, Decomposition and ROI (Description).html | 819.2 B | ||
| 11 - Contribution, Decomposition and ROI.mp4 | 60.7 MB | ||
| 12 - Building a Budget Scenario Simulator in Excel (Description).html | 819.2 B | ||
| 12 - Building a Budget Scenario Simulator in Excel.mp4 | 64.2 MB | ||
| 5 - MAKING IT STICK | |||
| 13 - Validation, Pitfalls and Keeping the Model Alive (Description).html | 921.6 B | ||
| 13 - Validation, Pitfalls and Keeping the Model Alive.mp4 | 52.4 MB | ||
| 14 - Presenting Your Model and Running MMM as a Programme (Description).html | 921.6 B | ||
| 14 - Presenting Your Model and Running MMM as a Programme.mp4 | 53.4 MB | ||
| 6 - HANDS ON IN EXCEL | |||
| 15 - Hands On - Touring the Workbook and the Live Data (Description).html | 921.6 B | ||
| 15 - Hands On - Touring the Workbook and the Live Data.mp4 | 59.1 MB | ||
| 16 - Hands On - Building Adstock and Saturation in Excel (Description).html | 921.6 B | ||
| 16 - Hands On - Building Adstock and Saturation in Excel.mp4 | 66.2 MB | ||
| 17 - Hands On - Running the Regression and Fitting with Solver (Description).html | 921.6 B | ||
| 17 - Hands On - Running the Regression and Fitting with Solver.mp4 | 71 MB | ||
| 18 - Hands On - Contribution, ROI and Response Curves in Excel (Description).html | 921.6 B | ||
| 18 - Hands On - Contribution, ROI and Response Curves in Excel.mp4 | 68.5 MB | ||
| 19 - Hands On - The Budget Simulator and Solver Optimisation (Description).html | 921.6 B | ||
| 19 - Hands On - The Budget Simulator and Solver Optimisation.mp4 | 58.7 MB | ||
| 20 - Hands On - Building the Optimiser Yourself in Excel (Description).html | 819.2 B | ||
| 20 - Hands On - Building the Optimiser Yourself in Excel.mp4 | 69.9 MB | ||
| 7 - MODERN MMM BAYESIAN METHODS AND OPEN SOURCE | |||
| 21 - Why Bayesian Marketing Mix Modeling (Description).html | 819.2 B | ||
| 21 - Why Bayesian Marketing Mix Modeling.mp4 | 72 MB | ||
| 22 - Google Meridian - Bayesian MMM at Production Scale (Description).html | 921.6 B | ||
| 22 - Google Meridian - Bayesian MMM at Production Scale.mp4 | 31.2 MB | ||
| 23 - PyMC-Marketing, LightweightMMM and Robyn (Description).html | 819.2 B | ||
| 23 - PyMC-Marketing, LightweightMMM and Robyn.mp4 | 54.5 MB | ||
| 24 - Robyn in Practice - Specifying the Model (Description).html | 819.2 B | ||
| 24 - Robyn in Practice - Specifying the Model.mp4 | 65.1 MB | ||
| 25 - Robyn in Practice - Choosing a Model and Allocating Budget (Description).html | 921.6 B | ||
| 25 - Robyn in Practice - Choosing a Model and Allocating Budget.mp4 | 64.7 MB | ||
| 8 - CAUSAL MEASUREMENT AND EXPERIMENTATION | |||
| 26 - Causal Inference for Marketing (Description).html | 819.2 B | ||
| 26 - Causal Inference for Marketing.mp4 | 60.5 MB | ||
| 27 - Multi-Touch Attribution After the Cookie (Description).html | 819.2 B | ||
| 27 - Multi-Touch Attribution After the Cookie.mp4 | 62.2 MB | ||
| 28 - Incrementality and Lift Testing (Description).html | 819.2 B | ||
| 28 - Incrementality and Lift Testing.mp4 | 64.7 MB | ||
| 29 - Geo Experiments and Geo-Lift (Description).html | 819.2 B | ||
| 29 - Geo Experiments and Geo-Lift.mp4 | 67.2 MB | ||
| 30 - Controls, Mediators and Treatments - Specifying a Causal Model (Description).html | 921.6 B | ||
| 30 - Controls, Mediators and Treatments - Specifying a Causal Model.mp4 | 65.7 MB | ||
| 9 - APPLIED MARKETING ANALYTICS | |||
| 31 - Price Elasticity and Promotion Modelling (Description).html | 819.2 B | ||
| 31 - Price Elasticity and Promotion Modelling.mp4 | 55.1 MB | ||
| 32 - Time Series and Forecasting for Marketing (Description).html | 819.2 B | ||
| 32 - Time Series and Forecasting for Marketing.mp4 | 52.3 MB | ||
| 33 - Customer Lifetime Value and Long-Term Effects (Description).html | 819.2 B | ||
| 33 - Customer Lifetime Value and Long-Term Effects.mp4 | 47.6 MB | ||
| 34 - Retail Media and Amazon Ads Measurement (Description).html | 819.2 B | ||
| 34 - Retail Media and Amazon Ads Measurement.mp4 | 51.1 MB | ||
| 35 - From the 4Ps to the Model - Strategy and What MMM Can See (Description).html | 921.6 B | ||
| 35 - From the 4Ps to the Model - Strategy and What MMM Can See.mp4 | 51 MB | ||
| 36 - Measurement in the Age of AI - Agents, LLM Journeys and Clean Rooms (Description).html | 921.6 B | ||
| 36 - Measurement in the Age of AI - Agents, LLM Journeys and Clean Rooms.mp4 | 51.2 MB | ||
| 5 - Multiple Linear Regression in Excel - Your First Model (Description).html | 921.6 B | ||
| 5 - Multiple Linear Regression in Excel - Your First Model.mp4 | 72.7 MB | ||
| 6 - Evaluating Your Model - Fit, Significance and Diagnostics (Description).html | 921.6 B | ||
| 6 - Evaluating Your Model - Fit, Significance and Diagnostics.mp4 | 69.6 MB | ||
| 7 - 07. Adstock - Modelling Advertising Carryover (Description).html | 921.6 B | ||
| 7 - 07. Adstock - Modelling Advertising Carryover.mp4 | 71.6 MB | ||
| 8 - Diminishing Returns - Modelling Saturation Curves (Description).html | 921.6 B | ||
| 8 - Diminishing Returns - Modelling Saturation Curves.mp4 | 72.9 MB | ||
| 9 - Fitting Adstock and Saturation Together with Solver (Description).html | 921.6 B | ||
| 9 - Fitting Adstock and Saturation Together with Solver.mp4 | 60.5 MB | ||
| 4 - Exploring Your Marketing Data Before You Model (Description).html | 921.6 B | ||
| 4 - Exploring Your Marketing Data Before You Model.mp4 | 67.9 MB | ||
| 37 - Building the Variables - Calendar and Processed (Description).html | 921.6 B | ||
| 37 - Building the Variables - Calendar and Processed.mp4 | 70.3 MB | ||
| 38 - Choosing the Model - From Thousands of Candidates to One (Description).html | 819.2 B | ||
| 38 - Choosing the Model - From Thousands of Candidates to One.mp4 | 67.2 MB | ||
| 39 - Contribution Done Properly - Reference Points and Due-To (Description).html | 921.6 B | ||
| 39 - Contribution Done Properly - Reference Points and Due-To.mp4 | 65.8 MB | ||
| 2 - MMM, Attribution and Experiments - Choosing the Right Lens (Description).html | 921.6 B | ||
| 2 - MMM, Attribution and Experiments - Choosing the Right Lens.mp4 | 59.9 MB | ||
| 2 - Northwind Coffee - MMM Model (Complete).xlsx | 84.8 KB | ||
| 2 - Northwind Coffee - MMM Practice.xlsx | 55.7 KB | ||
| 2 - Northwind Coffee - Raw Data.xlsx | 18.9 KB |
Marketing Mix Modeling in Excel: Case Study & Prep
https://WebToolTip.com
Published 9/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 5h 11m | Size: 2.36 GB
Measure what your marketing is really worth — build a complete MMM and budget simulator in Excel
What you'll learn
• Explain what marketing mix modeling measures, and how it differs from attribution and experiments
• Assemble and quality-check a modelling dataset from spend, price, promotion and external data
• Run exploratory analysis that produces testable modelling hypotheses rather than decoration
• Fit and interpret a multiple regression in Excel using the ToolPak, LINEST and Solver
• Diagnose a model properly: fit, significance, residuals, collinearity and holdout validation
• Apply adstock to capture advertising carryover, and estimate the decay rate from your own data
• Model diminishing returns with saturation curves, and read them for budget decisions
• Fit adstock and saturation jointly with Solver, using constraints that keep results credible
• Chart adstock, response curves and marginal return curves so they change a decision
• Convert coefficients into contribution, ROI and marginal ROI without the classic errors
Requirements
• Comfortable working in Excel — formulas, cell references and charts
• No statistics background required; every concept is built up from scratch
• No programming required at any point in the course
• The Data Analysis ToolPak and Solver add-ins (both ship free with Excel)
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