Know which dollar actually moved revenue.
Kleyr Modeler is a marketing mix modelling workbench for analysts and operators. Traditional MMM today, Bayesian Structural and a skill-based AI agent next, with the same data spine, the same outputs schema, and a public API to your warehouse.
A complete MMM workflow, web-first.
Drop a CSV. We infer column types, surface per-column stats, and let you tag KPI / media / control roles in one click. Connectors for Shopify, Klaviyo, Meta, Google, TikTok, GA4 land post-v1.
Geometric and Weibull adstock for carry-over. Hill, Michaelis-Menten, and S-curve saturation for diminishing returns. Live preview chart so you see the shape before you fit.
OLS or Ridge backbone with forward / backward / bidirectional selection on AIC, BIC, or p-value criteria. Robust HC3 standard errors. Full coefficient table with t-stats and p-values.
Durbin-Watson, Breusch-Pagan, Ljung-Box, Shapiro-Wilk, VIF, residual plots, ACF, normal Q-Q. The diagnostics aren't an afterthought — they're shown by default.
Per-period contribution per channel. Aggregated totals, share-of-spend vs share-of-effect, response curves. CSV bundle that matches the analyst-grade output schema downstream tools already consume.
One click attaches a geo lift estimate from the Experiments module as a Bayesian prior on the corresponding channel. The MMM treats it as a calibration target — exactly the loop that makes enterprise MMM credible.
Built on the canon, not on a vibe.
Every method we ship traces back to a paper. Read the references; we'll meet you where the literature is.
Three jobs, one model.
- ✦Find wasted spend in saturated channels
- ✦Project the upside of moving £1 between channels
- ✦Bring it to the CFO with credible intervals
- ✦Forecast revenue under each plan
- ✦Stress-test against do-nothing
- ✦Commit a number you can defend
- ✦Brand vs performance
- ✦Long tail vs the big four
- ✦Promo cannibalisation