Measured
Measured is a enterprise software for incrementality testing, MMM, and media optimisation.
Analyst Perspective
Measured is a private US software company that provides an enterprise marketing effectiveness platform focused on media measurement, incrementality testing, media mix modelling, and budget optimisation. Its product is designed to help large brands and performance marketing teams quantify causal advertising impact, forecast ROI, and reallocate spend across channels using a combination of experimentation, modelling, and platform data. The company appears to monetise primarily through annual enterprise SaaS subscriptions priced around customised contracts rather than consumer usage fees. Its customers are enterprise brands, marketing analytics teams, finance stakeholders, and media decision-makers that need a more independent and cross-channel view of performance than platform-reported attribution alone can provide.
Analyst Signal Briefing
Updated: 2 Jul 2026Measured has launched a Model Context Protocol (MCP) Server, integrating its marketing performance and incrementality data into AI platforms such as ChatGPT, Claude, and Gemini. This allows marketers to utilise natural-language interfaces to query campaign lift and validated insights from over 30,000 experiments. Furthermore, a recent Measured study involving 139 brands indicated that Google’s AI Overviews rollout increased median incremental revenue by 3.4 per cent, challenging concerns regarding search disruption. These updates reinforce a strategic focus on agentic measurement and decentralised data accessibility within the marketing stack.
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Key insights about Measured
Category Differentiation
This Measured is a B2B marketing measurement software company, not a general market research panel business or a consumer analytics app. It focuses on incrementality, MMM, and media planning rather than ad buying or media ownership.
Measured: About
Measured operates a B2B enterprise software model. It delivers a proprietary cloud platform that combines causal testing, predictive media mix modelling, unified measurement, and planning tools into a single operating layer for marketing decision-making. The value proposition is better budget allocation and clearer proof of marketing effectiveness, especially across multiple paid channels. Revenue is created by selling recurring access to the platform, with commercial value increasing as customers use more modules, more channels, and more frequent experimentation cycles.
How Measured Works & Monetises
Business model analysis and core revenue streams
The company appears to use a high-value enterprise SaaS monetisation model based on annual subscriptions or contracted platform fees. Pricing is likely customised according to scope, data volume, channel coverage, modelling complexity, and experimentation needs. Commercial upside likely comes from multi-module adoption across incrementality testing, MMM, and planning workflows rather than media margins or consumer payments.
Revenue Channels
Products & Services in Categories
Verified structural categorizations from the graph
Recent Signals (Measured)
Brands Ignore Measurement; Incrementality Solves Attribution
Trevor Testwuide, CEO and co-founder of Measured, published a sponsored op-ed arguing that modern platform-reported attribution (last-touch and platform claims) systematically misallocates marketing budgets. The piece recommends incrementality testing—using exposed vs. matched control groups (holdout tests)—to measure true causal lift and avoid paying repeatedly for demand a brand already had. It notes that retail media networks, social commerce, AI-driven discovery, and marketplaces exacerbate attribution errors, and explains that adopting incrementality requires organizational changes (incentives, agency pushback, revised KPIs) but yields clearer budget allocation and growth-focused investment. The article was published on Modern Retail and sponsored by Measured on 2026-07-02.
Read original sourceMeasured Study: Google AI Overviews Didn’t Hurt Search
Measured, an AI-powered marketing effectiveness platform, published an analysis of 139 brands showing that incremental revenue and orders rose after Google broadly rolled out its AI Overviews feature in September 2025. Measured found median incremental revenue increased 3.4% and median incremental orders increased 3.2% while overall ad spend stayed essentially flat. The study argues platform metrics like click-through rate can be misleading in AI-shaped search environments because AI Overviews may answer low-intent informational queries, concentrating higher-intent clicks that are likelier to convert. A subset of omnichannel brands that measured in-store impact saw larger gains: median retail incremental revenue grew 43.7%, incremental orders grew 22.5%, and iROAS rose from $1.35 to $1.47 across three months in Q1 2026. Measured’s CEO says advertisers who focused on incrementality rather than CTR benefited by maintaining spend during the rollout.
Read original sourceMeasured Launches MCP Server, Bringing Marketing Performance Data into ChatGPT, Claude and Other AI Platforms
Measured has launched a new MCP Server that integrates marketing performance data into AI platforms like ChatGPT and Claude, enhancing data accessibility and usability for marketers.
Read original sourceMeasured: Frequently Asked Questions
What is Measured?
Measured is an enterprise marketing effectiveness platform that combines incrementality testing, media mix modelling, and budget optimisation.
Who uses Measured?
Its users are primarily enterprise brands, performance marketing teams, analytics leaders, media planners, and finance stakeholders.
How does Measured make money?
Measured appears to generate revenue mainly from customised enterprise SaaS subscriptions for access to its measurement and optimisation platform.
Company Facts
- Founded
- 2017
- Headquarters
- 1801 Rockmoor Ave, Austin, Texas, 78703, United States
- Core Segment
- AdTech Vendor
- Company Size
- 50–200
- Official Link
- measured.com