🧠Tier 4 - Advanced / NicheID: mmmMarketingMixModelling
Marketing Mix Modelling (MMM)
Statistical regression model attributing revenue across all spend without cookies
In Simple Words (Zero Jargon):
Statistical regression model attributing revenue across all spend without cookies
Why It Is Critical
MMM uses aggregate econometric time-series regression (spend across Meta, Google, TV, offline, seasonality, pricing) to quantify each channel’s contribution to revenue. It is completely cookie-free, privacy-safe, and immune to attribution overlap.
Calculation Example & Benchmark Matrix
| Dimension | Detail & Application |
|---|---|
| Strengths | Channel-agnostic, privacy-safe, captures offline media and long-term brand carryover effects |
| Limitations | Requires 2+ years of historical data, produces channel-level rather than ad-level insights |
| Best Use | Quarterly/annual macro budget allocation across major channels (e.g. Paid Social vs Search vs TV) |
| Open-Source Frameworks | Google's Meridian and Meta's Robyn open-source packages |
What You Get: A complete, privacy-safe view of marketing contribution across all channels - the highest-level budget allocation tool available to large advertisers.