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Measured vs Recast
Measured and Recast are both Marketing Measurement (MMM, MTA, Attribution) tools. Here is how they compare on pricing, free plans, AI integrations and platforms, and when each is the better fit.
Side by side
| Feature | Measured | Recast |
|---|---|---|
| Category | Marketing Measurement (MMM, MTA, Attribution) | Marketing Measurement (MMM, MTA, Attribution) |
| Pricing | Quote-based | Quote-based |
| Free option | Not listed | Not listed |
| AI integrations | MCP server, Claude, ChatGPT | MCP server, Claude |
| Links | Measured listingVisit website (opens in a new tab) | Recast listingVisit website (opens in a new tab) |
Which to choose
Choose Measured if
- want channel benchmarks to compare performance and set investment targets
- need a central reporting hub tailored for executive, finance, and marketing teams
- want an official MCP connector specifically for ChatGPT alongside Claude.ai
- prioritise causal incrementality experiments combined with saturation curves for media planning
Choose Recast if
- want proprietary Bayesian MMM with time-varying ROIs and multi-stage funnel tracking
- need out-of-sample validation with transparent scorecards to check predictive accuracy
- want to run GeoLift synthetic control tests that directly calibrate your primary MMM engine
- need public APIs and MCP connections that work with Claude, ChatGPT, and Codex
Verdict
Measured and Recast both help enterprise brands and growth marketers evaluate online and offline channels through incrementality testing and media mix modelling. Measured suits organisations that want to combine geo-based experiments with cross-channel reporting and portfolio benchmarking. It gives marketing, finance, and executive teams a central hub to view performance and simulate budget reallocations using saturation curves, though it requires sufficient media spend and data volume to work well. Recast suits teams that prefer a proprietary Bayesian MMM calibrated by GeoLift experiments. It stands out for tracking time-varying ROIs, promotional spikes, and multi-stage funnel interactions, while checking model accuracy through out-of-sample validation scorecards. The main trade-off with Recast is that custom deployment requires onboarding setup with Recast or certified operators, and it relies heavily on high-quality historical data.
FAQ
- How do Measured and Recast compare on pricing?
Both Measured and Recast use quote-based pricing and do not list a free option. Neither platform discloses its prices publicly, so you must contact them or book a demo for a custom quote.
- How do their approaches to media mix modelling differ?
Measured combines statistical channel modelling with real-world controlled incrementality experiments and saturation curves. Recast uses a proprietary Bayesian Causal MMM that tracks time-varying ROIs, promotional spikes, and multi-stage funnel interactions, calibrated by GeoLift synthetic control tests.
- Do Measured and Recast integrate with AI assistants?
Yes, both platforms support the Model Context Protocol (MCP). Measured offers the Measured MCP Server, Measured MCP for Claude.ai, and a Measured MCP Connector for ChatGPT. Recast provides the Recast MCP and a Recast Claude Plugin, connecting model outputs into Claude, ChatGPT, and Codex.
- What are the data requirements for using Measured or Recast?
Measured requires sufficient media spend and data volume for its geo testing and statistical models to be effective. Recast relies on high-quality historical marketing and sales data for model accuracy, and requires onboarding setup with Recast or certified operators.