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Enterprise Layer Intelligence
Categories/Advertising/LiftLab
LiftLab

LiftLab

Founded 2019

Measure marketing performance and plan media budgets using econometric modeling and incrementality testing

Pricing model

Demo

You can use LiftLab to measure marketing effectiveness and determine where to allocate advertising budgets across multiple channels. The system combines marketing mix modeling with incrementality experiments to uncover which campaigns generate real incremental revenue. You can model budget scenarios, identify diminishing returns, and monitor ad auction volatility daily to reallocate spend before performance drops. LiftLab connects top-of-funnel brand campaigns and direct-response performance channels to actual financial outcomes, giving teams defensible evidence to forecast revenue and negotiate marketing budgets with finance.

What LiftLab does

Run budget allocation scenarios based on custom financial constraintsDesign and execute geo-based incrementality testsTrack daily CPM changes and ad fatigue signalsCalculate marginal return on ad spend for each media channelModel consumer demand curves separately from auction cost fluctuationsForecast revenue and acquisition costs across multiple quartersFeed experiment results back into econometric mix modelsAgile Marketing Mix Modeling to evaluate multi-channel spendIncrementality testing suite using geo-matched experimentsScenario planner for testing budget reallocation trade-offsPlatformSense for tracking daily ad auction volatility and CPM shiftsDiminishing returns curves to identify channel saturation pointsLong-term multipliers to measure brand advertising value over timeMiles AI conversational interface to query measurement insights

Pricing breakdown

Pricing model: Book a demo

Frequently asked

Google Ads, Meta (Facebook/Instagram), Amazon Advertising, The Trade Desk, Snowflake, Salesforce

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LiftLab, marketing mix modeling, MMM, incrementality testing, media budget planning, marginal ROI, diminishing returns, ad measurement, marketing analytics, scenario planning, econometric modeling, attribution, causal measurement, advertising analytics, ad spend reallocation