Run Meta Robyn, Google Meridian, and PyMC side-by-side on your data. Get channel attribution, saturation curves, and budget recommendations — in minutes, not months.
Model Comparison
Robyn
R² 0.91 · MAPE 8.2%
Meridian
R² 0.89 · MAPE 9.1%
PyMC
R² 0.87 · MAPE 10.4%
Channel Attribution
Budget Shifts
Projected lift: +18% FTBs
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No data science team needed. Upload, run, and act.
Drop a CSV with your spend and conversion data. We handle the rest — cleaning, validation, and formatting.
Robyn (Meta), Meridian (Google), and PyMC run simultaneously. Each uses different statistical methods for robust results.
Compare attribution across models, find saturated channels, and get concrete budget reallocation recommendations.
Meta Robyn, Google Meridian, and PyMC — three independent statistical approaches for reliable attribution.
Compare R², MAPE, and channel contributions across all models in one unified view.
See exactly where each channel hits diminishing returns. Know when to stop spending and where to invest more.
True incremental ROI for every channel, not just last-click. Understand the real value of each dollar spent.
Data-driven recommendations to shift budget from saturated channels to high-opportunity ones.
No user-level data required. MMM works with aggregated spend and conversion data only.
Attribution tools lie. Last-click ignores brand. Multi-touch is arbitrary. Marketing Mix Modeling uses econometrics to measure the true incremental impact of every channel — including offline.
Before vs After
Google Ads ROAS
2.1x → 3.4x
Facebook CPA
$48 → $31
Wasted spend
$124K/mo → $18K/mo
*Based on typical results from our beta users
Upload your data and get results from three world-class MMM engines in minutes.
Get started — it's free