Attribution & marketing mix modeling · Measured

Measured

Incrementality-testing platform that measures marketing's true causal lift through geo-based experiments rather than modeling clicks.

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Measured's core method is geo-based incrementality testing: it holds out or varies spend in matched geographic regions and measures the actual difference in outcomes, which answers what multi-touch attribution and click-based models cannot — whether a channel caused incremental revenue or just claimed credit for sales that would have happened anyway. Results feed a "Decision Console" that translates test results into cross-channel budget recommendations, and the platform layers in marketing mix modeling to interpolate between discrete tests. It is incrementality-testing-led rather than pixel- or warehouse-attribution-led, which makes it comparatively resilient to walled-garden data loss but requires enough spend and geographic footprint to run statistically valid holdouts.

At a glance

Vendor Measured
Pricing model Quote only
Free tier No
Deployment Cloud
Open source No
Best for Advertisers with enough spend and geographic reach to run holdout tests and want causal, not correlational, channel measurement.

Pricing

Custom quotes scoped to ad spend and number of channels tested; pricing is not published.

Pricing has not been verified yet — see the vendor's site.

Features

  • Geo-based incrementality testing across channels
  • Media mix modeling to interpolate between tests
  • Cross-channel budget allocation recommendations
  • Automated test design and statistical significance checks
  • Channel-level incremental ROAS reporting
  • Scenario planning for budget shifts

Integrations

Profile last reviewed September 21, 2026

Alternatives

Haus Incrementality-testing platform that runs randomized geo and holdout experiments to measure marketing's causal lift. Rockerbox Marketing measurement platform combining multi-touch attribution with media mix modeling on the advertiser's own data. Northbeam E-commerce-focused multi-touch attribution platform reading from the brand's own data warehouse.

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Terms to know

Incrementality testing An experiment measuring the true causal lift of a marketing activity by comparing it against a held-out control. Marketing mix modeling A statistical technique estimating how much each marketing channel and external factor contributes to results. Statistical significance A threshold judgment that an observed effect is unlikely to be due to chance alone, given the data and test used. Return on ad spend A ratio of revenue earned for every unit of currency spent on advertising. Multi-touch attribution An attribution method that splits conversion credit across every touchpoint in a customer's path, not just one. Scenario planning A planning method that builds and stress-tests a small number of distinct, plausible futures rather than a single forecast.

Related guides

How to choose a marketing attribution or MMM tool Attribution, media mix modeling, and incrementality testing answer the same question three different ways. Pick the method before you pick a vendor. How to run marketing mix modeling What data an MMM needs, the build-vs-buy choice between open-source libraries and managed vendors, and how to validate the model with real experiments.