What is MMM?
Media Mix Modeling (MMM) is an agency-facing optimization tool designed to help media managers and analysts adjust media spend across different segments, geographical locations, and overall budgets. Built on the Google Meridian framework, MMM allows you to simulate the impact of these changes on key performance outcomes like conversions, sales, or leads.
Instead of relying solely on historical reporting, MMM acts as a forward-looking decision-support tool. It solves a core problem for media buyers: the inability to quickly simulate changes to media channel allocations or overall budgets and immediately understand the projected performance impact.
How can MMM be used?

MMM is built to equip our agencies with the ability to self-serve complex budget simulations. The platform runs on pre-generated outputs, meaning it calculates all plausible budget scenarios in advance to provide near-instant dashboard responsiveness.
Within the MMM, users can…
- Use allocation sliders to reallocate media spend across digital channels and visualize the resulting performance.
- Adjust the overall budget up or down (e.g., +10%, -20%) and see expected changes in KPIs.
- Filter selections to slice results by Audience, Campaign, and Creative.
- View predicted conversions, leads, or sales alongside projected annual comparisons.
- View spend distribution versus outcome performance.
Key Findings and Insights with MTP client SGU



How Should I Use MMM?
Annual & Quarterly Planning
- Determine the optimal channel allocation before committing spend for the upcoming camapign
Budget Shift Scenarios
- A client asks, "What happens if we cut our budget by 20%?" or "What if we get an extra $50,000 for Q4?"
New Business Pitches
- You want to attract new clients by showcasing data-driven innovation and demonstrating exactly how we would optimize their current media mix.
Client Retainers
- You want to increase client retention by providing proactive, value-added strategic guidance.
When Should I Use MMM?
Media Planning
Determine how marketing budgets should be allocated
Budget Optimization
Identify opportunities to improve efficiency and maximize ROI
Performance Analysis
Understand which channels are having the most impact
Client Reporting
Support performance conversations with evidence
RFPs
Provide data-backed recommendations for media strategy
Growth Planning
Forecast future outcomes and evaluate investment scenarios
New Client Pitches
Demonstrate strategic thinking with a marketing effectiveness analysis
Channel Expansion
Evaluate whether new channels should be introduced
ROI Assessment
Quantify the business impact of marketing investments
Ready To Get Started?
Contact the RADaR Analytics team at [email protected]
Latest blog posts about Media Mix Modeling (MMM)
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MMM version 1.1 now available
Our second major release of the Media Mix Modeling tool builds on the 1.0 foundation with a re-architected data model, a hardened deployment path, a refreshed reporting UI, and a runtime upgrade. Here’s what’s new. Built for many clients and projects The headline change is a move from a single-view tool to a true multi-client,…