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Lifesight vs Measured
Lifesight and Measured 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 | Lifesight | Measured |
|---|---|---|
| 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, ChatGPT |
| Best for | Marketing teams, Finance teams, Ambitious brands | — |
| Links | Lifesight listingVisit website (opens in a new tab) | Measured listingVisit website (opens in a new tab) |
Which to choose
Choose Lifesight if
- want incrementality-adjusted attribution alongside MMM and geo holdout testing
- need proactive AI agents to monitor creative fatigue, pacing, and data pipelines
- want optional managed measurement services from dedicated marketing scientists
- are a mid-market or enterprise team wanting automated decision briefs and rule-based budget approvals
Choose Measured if
- want to focus strictly on causal incrementality experiments and media mix modelling without multi-touch attribution
- need channel benchmarks to compare performance and set investment targets
- manage complex cross-channel media portfolios across both digital and offline channels
- have the high media spend and data volume required for enterprise geo testing
Verdict
Lifesight and Measured both combine media mix modelling with geo-based incrementality testing, and both offer Model Context Protocol connectors for Claude and ChatGPT. Lifesight suits mid-market and enterprise marketing and finance teams that want a three-way model including multi-touch attribution, plus proactive AI agents that monitor performance and draft decision briefs. It also offers optional support from marketing scientists, though full budget optimisation and MMM sit on higher-tier plans.
Measured suits enterprise brands with complex digital and offline media portfolios that want to move away from correlation-based attribution entirely. It pairs experimental testing and MMM with cross-channel benchmarking and saturation curve forecasting. The main trade-off is scope versus focus: Lifesight includes attribution and automated AI monitoring, while Measured focuses strictly on incrementality and MMM for high-spend advertisers.
FAQ
- How do Lifesight and Measured price their platforms?
Both Lifesight and Measured use quote-based pricing and do not publish their rates publicly. Neither listing mentions a free plan. Note that Lifesight restricts advanced features like MMM and full budget optimisation to higher-tier plans.
- How do their measurement methodologies differ?
Lifesight combines three methods into one calibrated model: causal marketing mix modelling, geo-based incrementality testing, and incrementality-adjusted multi-touch attribution. Measured focuses on causal incrementality experiments and media mix modelling across digital and offline channels, deliberately moving away from correlation-based attribution.
- Do Lifesight and Measured integrate with AI assistants?
Yes, both platforms support Model Context Protocol (MCP) integrations for Claude and ChatGPT to allow conversational data queries. Lifesight also includes built-in AI growth agents that monitor data pipelines, flag creative fatigue, and draft decision briefs.
- Which team size suits each platform best?
Lifesight is built for both mid-market and enterprise marketing and finance teams, and offers optional managed services from marketing scientists. Measured is designed for enterprise brands and growth marketers that have enough media spend and data volume to run effective geo tests and statistical models.