QuickMMM: Making Media Mix Modeling Simple for Marketers

In today’s fast-moving marketing world, waiting 5 months and spending $200K+ on traditional Media Mix Modeling (MMM) just doesn’t work.

Enter QuickMMM — a fast, approachable tool that gives marketers media insights in hours, not months.

Try it now 👉 mmm-turbo-insights.lovable.app

💡 The Problem: Traditional MMM Is Too Slow, Too Expensive

  • Takes too long
  • Costs too much
  • Delivers insights when it’s too late to act

🧠 What is QuickMMM?

QuickMMM is a lightweight, web-based Media Mix Modeling tool built to help marketers understand which channels are really driving results.

No advanced modeling. No waiting months. Just your weekly spend and conversions — turned into clear, visual insights.

🔧 Core Features

  • 📊 Channel contribution analysis
  • 📉 Diminishing returns visualization
  • 🔁 Budget reallocation suggestions
  • 💰 ROI optimization insights

⚙️ Powered By Trusted Methods

  • Meta’s Robyn framework
  • Google’s Lightweight MMM
  • Ridge Regression + Prophet
  • Bayesian Hierarchical Modeling

🖼️ QuickMMM in Action

Main Dashboard

Upload your CSV. Choose your model. View insights instantly.

Channel Analysis

Break down conversion impact by channel.

ROI Insights

Spot when you’re overspending with clear saturation curves.

Designed for marketers — not data scientists.

🎯 Why QuickMMM?

Traditional MMMQuickMMM
🕰️ 5+ Month Timeline⚡ 1-Hour Setup
💸 $200K+ Investment💼 Accessible for All Teams
🧠 Complex Outputs🔍 Marketer-Friendly Visuals

⚡ Key Advantages

  • Speed & Agility
    Make smarter decisions while campaigns are still live.

  • Cost-Effective
    Get ~80% of the value at 5% of the cost.

  • Explainable Models
    Understand how and why the results were calculated.

  • Multiple Modeling Options
    Choose from Robyn (fast) or LMMM (deep + Bayesian).

  • Self-Serve Interface
    No consultants. No setup calls. Just insights.

  • Visual by Design
    Interactive charts make your media story easy to understand.

⚠️ Important Caveats & Limitations

📊 Data Quality Requirements

  • Minimum 12–20 weeks of clean data
  • Weekly or monthly granularity
  • Channel-level spend and conversion data required

🧪 Statistical Notes

  • Shows correlation-based insights, not strict causation
  • Works best for directional guidance, not precise lift measurement
  • Doesn’t replace attribution or holdout testing

Use QuickMMM for rapid optimization — not for legal or finance-grade forecasting.

🎨 Best Use Cases

  • Mid-Campaign Optimization
    Quickly reallocate underperforming spend.

  • Quarterly Budget Planning
    Use historical patterns to inform next quarter’s mix.

  • Leadership Reporting
    Turn your numbers into clear, story-driven visual summaries.

🔍 Under the Hood

🔵 Meta’s Robyn

  • Ridge/Lasso Regression
  • Prophet seasonality
  • Geometric Adstock
  • Hill saturation curves

🟢 Google’s Lightweight MMM

  • Bayesian inference (Stan or PyMC)
  • Hierarchical modeling
  • Flexible priors
  • Full posterior distributions

🚀 Ready to Try It?

Try the live app now 👉 https://mmm-turbo-insights.lovable.app

How It Works:

  1. Upload Your Data
    Simple CSV with dates, spend, and conversions

  2. Choose a Model
    Robyn for fast results, LMMM for detailed modeling

  3. Get Instant Insights
    Visuals and recommendations in minutes

💬 Have feedback or want help getting started?
👉 Reach out via LinkedIn: www.linkedin.com/in/senthilthyagarajan