Bayesian MMM in 5 days

The model your
agency charges
$150K for.

Modelix runs full Marketing Mix Models through autonomous AI agents. Adstock curves, saturation functions, spend attribution — delivered in five days, at a fraction of consultancy rates.

5 days to first model
10× faster than consultancies
$8K flat per model
How it works
01

Upload your spend data

CSV or direct connection. Media spend by channel, date, country. Add control variables (seasonality, pricing, promo calendar) if you have them.

02

Agents build the model

Our multi-agent system handles data validation, model specification (adstock + saturation curves), MCMC sampling, and convergence checks — autonomously.

03

Receive your model + recommendations

Full posterior distributions, channel attribution, ROAS by channel, and an optimized spend allocation — in a readable brief, not a stats dump.

The old way vs. Modelix
Traditional consultancy
Modelix
Timeline
8–16 weeks
5 business days
Cost
$80K–$300K
$8K flat
Approach
Consultant-led, black-box model
Agentic Bayesian, full transparency
Updates
Quarterly, with change orders
On-demand, same price
Who does the work
2–4 senior consultants
Autonomous AI agents
What you get

Channel attribution

Exactly how much each channel contributed to revenue — with credible intervals, not point estimates.

Optimal spend allocation

ROI-maximizing budget split across channels, given your total spend — updated as your data grows.

Response curves

Marginal returns for each channel — know exactly where incremental spend stops paying off.

Scenario planning

Run spend shift simulations before you commit — know the outcome before you spend.

Executive brief

Results translated for your CMO and CFO — not a stats paper. Boardroom-ready language, not PyMC trace plots.

Fast refresh

Re-run with new data in hours, not weeks. Track performance quarterly or monthly with no additional project fees.

Marketing budgets are too large to guess.
MMM done right is not a luxury — it's the baseline.