Shako Stats review
Experiment-calibrated MMM with scenario planning and uncertainty-aware forecasts.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Shako Stats is a web-based marketing measurement platform for brands and agencies seeking marketing mix modeling (MMM) tied to incrementality experiments. Its stated workflow estimates channel contribution from aggregate spend and sales data, then uses geo, user-level, and platform lift tests as Bayesian priors. The combination is aimed at teams that want experimental evidence to inform MMM calibration, rather than relying only on modeled channel effects. It also includes incrementality testing and workflows for model validation.
The modeling features extend from channel decomposition across baseline, seasonality, and media to response and saturation curves that show marginal returns. Budget scenarios can be compared against revenue, margin, payback, or ROAS targets, while revenue forecasts include 65% and 95% confidence intervals. An experiment database stores lift tests for calibration. Together, these capabilities make the product relevant to teams that need to connect measurement, forecasting, and allocation decisions. Its cloud web platform is accompanied by a read-only REST API and MCP access to measurement outputs, with integrations including Meta, Google, TikTok, Claude, ChatGPT, Cursor, Codex, and Gemini CLI.
There is an important availability caveat: Shako Stats’ site labels Marketing Mix Modeling as coming soon or coming next, so teams should confirm whether the MMM workflow is currently available before planning around it. The site describes paid B2B plans and private offers, with pricing handled through sales rather than a stated self-serve amount. Email support and documentation are listed. Shako Stats is worth evaluating for teams that specifically want lift experiments to calibrate MMM and scenario forecasts with uncertainty intervals; organizations needing a currently available MMM workflow or transparent plan pricing should clarify those points before choosing it.
Shako Stats pros and cons
- Where it wins
- Uses geo, user-level, and platform lift tests to calibrate Bayesian models
- Compares budget scenarios against revenue, margin, payback, or ROAS targets
- Provides forecasts with 65% and 95% confidence intervals
- Where it doesn't
- Marketing Mix Modeling is labeled as coming soon or coming next
- Pricing is handled through paid B2B plans and private offers
- Read-only API and MCP access limits programmatic interaction to measurement outputs
Shako Stats fact sheet, pricing and score →
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