LiftLab vs Measured

LiftLab is a marketing measurement platform for assessing brand and performance media spending and informing budget decisions. Its Two-Stage Agile Marketing Mix Model separates advertising auction cost dynamics from consumer response to estimate channel response curves. The Scenario Planner builds Conserve, Maintain, and Accelerate budget scenarios within constraints such as channel caps, CAC ceilings, and committed spend. Geo experiments in the Incrementality Testing Suite feed causal results back into the model for calibration; supported methods also include Stratified Random Sampling, Synthetic Controls, Switchback tests, Strategy experiments, and Go Dark with Pacing. PlatformSense monitors daily performance changes and uses live signals to inform reallocation recommendations. Miles, an AI-powered analyst, answers questions in plain English using LiftLab’s measurement methodology. LiftLab says it connects with more than 50 paid media platforms, plus analytics, CRM, warehouses, and first-party data sources. Starting data requirements are 12 to 24 months of weekly channel spend, one primary outcome KPI, and a promotional calendar. It is designed for enterprise marketers, including teams spending $5 million or more annually on media. Pricing is on request.

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.