Marketing Mix Modeling
Three modeling approaches with budget optimization. Response curves, 13-week forecasts, and push to ad platforms — all computed in your browser.
What It Does
Three Modeling Approaches
Bayesian modeling with uncertainty-aware credible intervals. Ridge modeling with multi-objective optimization via NSGA-II. A proprietary Ensemble method that combines approaches for the strongest signal.
Budget Optimizer
Recommends the optimal spend allocation across channels to maximize revenue. Adjustable spend multipliers let you model scenarios — what happens if you increase paid search by 20% or cut display by half?
Response Curves
See the diminishing returns curve for each channel. Know exactly when additional spend stops generating proportional revenue, so you never over-invest in a saturated channel.
13-Week Revenue Forecasts
Forward-looking projections based on your current spend mix. Compare forecast revenue under current allocation versus the optimized recommendation.
Push to Ad Platforms
Push optimized budgets directly to your connected ad platforms. Preview changes before applying, with a complete audit trail of every budget mutation.
Browser-Side Computation
All modeling runs entirely in your browser via Web Workers. Results in seconds. Your raw data never leaves your environment — no server-side processing required.
Who It's For
Budget Planning
Use the budget optimizer to plan next quarter's spend allocation. Model different scenarios and see projected revenue impact before committing budget.
Proving Incremental Value
MMM measures the true incremental impact of each channel — including offline channels and brand activity that multi-touch attribution cannot capture.
Cross-Channel Optimization
When you run campaigns across 5+ channels, MMM reveals the optimal mix. Stop guessing and let the model show you where each marginal dollar is best spent.