What is Marketing Mix Modeling

Wouldn’t it be nice to know which marketing Inputs are giving you higher returns?

Marketing Mix Modeling is a strategy which helps you in doing that.

Market Mix Modeling (MMM) is a technique which helps in quantifying the impact of several marketing inputs on sales or Market Share. The purpose of using MMM is to understand how much each marketing input contributes to sales, and how much to spend on each marketing input.

What We Offer

  • Sales / Market share driver analysis
  • ROI analysis
  • Response curves
  • Media deep dives: campaign and genre analysis
  • Budget Optimisation
  • Price elasticity analysis
  • SKU analysis
  • Market simulator
  • Insights and Strategy
  • Brand awareness analysis
  • Direct and Indirect effect of media on Sales

How Can You Avail Our Services

Conducting In - depth analysis

Performing EDA (Exploratory Data Analysis)

Findings & Report on EDA

Building MMM Models

Marketing Spends Optimization

Final report with Insights and suggestions

How to improve the current Marketing Mix to have a high ROI

  • Optimization of marketing spends

MMM Strategies for New Brands

  • Strategies for ideal market mix keeping in view the novelty of the brand

MMM strategies for Old Brands

  • How to leverage on Brand Equity and devise an ideal market mix

Evaluating the MMM Project as a whole

  • Were the right data chosen?
  • Were the right statistical methods used?
  • Do the MMM models make sense statistically and Business wise?
  • What went wrong?
  • How to rectify it?

Conducting In - depth analysis

Performing EDA (Exploratory Data Analysis)

Findings & Report on EDA

Building MMM Models

Marketing Spends Optimization

Final report with Insights and suggestions

How to improve the current Marketing Mix to have a high ROI

  • Optimization of marketing spends

MMM Strategies for New Brands

  • Strategies for ideal market mix keeping in view the novelty of the brand

MMM strategies for Old Brands

  • How to leverage on Brand Equity and devise an ideal market mix

Evaluating the MMM Project as a whole

  • Were the right data chosen?
  • Were the right statistical methods used?
  • Do the MMM models make sense statistically and Business wise?
  • What went wrong?
  • How to rectify it?