Marketing Mix Modeling

Overview

Marketing Mix Modeling (MMM) uses statistical analysis to quantify the impact of each marketing channel on sales — isolating what works and what doesn’t. It enables better budget allocation, long-term planning, and ROI visibility across both digital and traditional channels.

Common Use Cases

  • Understanding the ROI of multi-channel marketing efforts

  • Analyzing the impact of CTV, radio, OOH, and digital in one model

  • Forecasting revenue based on channel inputs

  • Identifying diminishing returns or underperforming spend

  • Supporting annual planning and budget reallocation

Who is this for?

  • CMOs and CFOs overseeing large, complex media budgets

  • PE-backed operators preparing board-level strategy

  • Teams frustrated by unclear attribution

  • Brands balancing brand vs. performance investments

Why Claymore Connect

We connect you with data scientists and analytics firms who specialize in MMM — blending historical data, marketing spend, and statistical rigor to inform better decisions.

Bayesian and frequentist model options

Clean data preprocessing and documentation

Scenario and what-if modeling

Presentation-ready outputs and budget tools

Sample Results

  • $1.5M budget reallocated for 20% higher ROI

  • 3x clearer correlation between spend and sales

  • Better forecast alignment across finance and marketing

  • OOH ROI uncovered previously invisible impact

What to Look for in an MMM Vendor

  • Statistical modeling expertise

  • Experience with your marketing mix and data availability

  • Ability to simplify findings for business stakeholders

  • Support for quarterly updates

  • Tools to help decision-makers act on results

Related Services

  • Revenue Forecasting

  • Attribution

  • BI Dashboards

  • Media Buying Strategy

  • Performance Reporting

Get Matched with a MMM Expert

We’ll introduce you to a modeling team that can reveal which parts of your mix are actually driving growth.