Shako Stats

At a glance

• Editor score
  7.9 / 10
• Pricing
  Pricing on request
• Best for
  Teams calibrating MMM with lift experiments
• Modeling approach
  Bayesian
• Facts checked
  13 Oct 2026

• 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

Our verdict on Shako Stats

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.

Your product? Our editors can test Shako Stats in depth and publish a review, labelled as paid · from $99/mo →

Shako Stats pricing

Shako Stats fact sheet

Shako Stats integrations

Shako Stats lists 10 integrations on its own site.

• Claude
• ChatGPT
• Cursor
• Codex
• Gemini CLI
• MCP clients
• REST API
• Meta
• Google
• TikTok

Alternatives to Shako Stats

• Adobe Marketing Campaign Analytics (formerly Adobe Mix Modeler)Combines mix modeling and attribution with budget scenarios and in-flight optimization.9.3
• CLCircana Liquid MixA retail-informed MMM tool for channel impact, budget scenarios, and forecasts.9.2
• Google MeridianA free, Python-based framework for teams equipped to run Bayesian media mix models.9.1

See all Shako Stats alternatives →

Featured on iTechGuides

Shako Stats is listed in our Media Mix Modeling Software directory. Add the badge to your site — it links back to this page.

<a href="https://www.itechguides.com/products/shako-stats/"><img src="https://www.itechguides.com/best/badge/shako-stats.svg" alt="Featured on iTechGuides" width="230" height="46"></a>

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. How we rank.

Last updated 20 Oct 2026 · How we research and update