Enrich your controls via the Data Marketplace
Without external controls, the model can confuse weather, promo, and media. Add weather, macro indicators, demographics, or IP: more than 45 000 datasets (OECD, INSEE, Eurostat, Weather, INPI).
Marketing Mix Modeling
mcube
by TidyBricks
Allocate budget where it has the most impact.
Know where to push and where to cut before committing the next media euro.
Business challenges
Questions you can settle
Budget trade-offs, not just coefficients.
- Which channel truly drives performance, beyond last-click ?
- At what spend level does a lever saturate ?
- Where to reallocate to gain ROI without increasing budget ?
- How much of the result comes from media vs. non-media ?
To answer them, you first need the right sources.
Data sources
Your sources, wired into the model
Connect ads, analytics, warehouses, and open data in a few clicks.
ROI / mROI
Saturation
Contribution
Waterfall
Scenario
Adstock
From ad platforms, warehouses, and open data (data.gouv.fr, Eurostat) to ROI, saturation, adstock, and scenario views.
Capabilities
Build, measure, allocate
Build the MMM in one tool
KPIs, transforms, ROI priors, adstock, causal graph: a guided builder to configure, run, and validate in one place.
Measure the impact of each lever
Read incremental contribution, ROI, and mROI. Spot saturation and diagnostics before you decide.
Reallocate budget under constraints
Fixed budget, floor / ceiling per channel, reference mix preserved. See where the money goes and what revenue is unlocked, before you commit.
Accelerate with the copilot and MCP
Ask as you would a colleague. The copilot prepares, explains, and runs a scenario, with charts to back it up. Over MCP, Claude, ChatGPT, Gemini, or Mistral can query the same models from your usual chat.
Model Context Protocol
Connect your AI assistants to mcube. Same permissions as in the app.
Your brand, not ours
Logo, name, and colors on the UI and charts. An experience that looks like yours.
Invite teammates to a project, with the right level of access. Everyone works in the same space, without stepping on each other.