Keen vs Measured

Keen is an AI-native marketing operating system for measuring media spend, building weekly buying plans, and forecasting the likelihood of reaching business goals. Its approach uses Bayesian econometrics, informed priors, and pre-built response curves that Keen says update as data grows. The platform says it separates marketing lift from external macroeconomic shifts, measures ROI across brand and commerce, and can quantify long-term brand effects. Its plans connect measurement to revenue and profit goals and can account for seasonality, media costs, budget floors, and inventory limits. Forecasts include goal probabilities, revenue ranges, and risk analysis; Keen claims up to 95% accuracy. Access options include SaaS, an MCP and headless API, or a managed service. The API can bring benchmarks, priors, plans, and forecasts into existing tools and receive actual results to trigger replanning. Keen lists integrations with 275+ tools and partners, including HubSpot, AWS, Snowflake, Meta, Google, TikTok, and Shopify. Pricing is on request, and a 14-day trial is listed.

Measured is an AI-powered marketing effectiveness platform for enterprise brands. It combines causal experiments, media mix modeling, and advertising-platform data to assess media impact. Geo-matched and first-party split tests measure incremental sales, while automated tools cover machine-learning market selection, audience and geographic splitting, test design, and calibration. Media mix models use incrementality tests as causal priors and can be updated weekly, monthly, or quarterly. The Media Plan Optimizer runs budget scenarios and allocates spending toward marginal ROI, growth, or profitability goals. Measured lists more than 300 fully managed integrations across analytics, business intelligence, CRM and email, ecommerce, social, search, and TV and OTT, plus a REST API for cross-channel performance data. The platform runs on web and API. Pricing is available on request, and each customer is paired with an analytics expert.