
LiftLab brings brand and performance into the same marketing effectiveness measurement framework, giving CMOs one clear view of what drives growth. With a 6- to 52-week horizon, brand investment gets the same financial defensibility as performance spend, so every budget conversation starts with evidence Finance can audit, not a case you have to argue.

LiftLab brings marketing performance measurement beyond platform-reported metrics. PlatformSense uses AI to detect CPM shifts, auction volatility, and creative fatigue daily, then applies those live signals to stable response curves, so your team can respond to what is actually changing in the market, not what the ad platform says is changing.

LiftLab connects marketing performance to financial outcomes, giving CFOs a clearer view of where marketing spend is creating value. With defensible measurement across brand and performance, finance teams can evaluate marketing investment with the same rigor applied to other areas of the business. Every reallocation LiftLab recommends is reviewed by your team before spend moves, so speed never comes at the cost of control.
One model. One forecast range. Set constraints across Marketing and Finance before the optimizer runs, so budget decisions are grounded in expected impact rather than disconnected channel forecasts.
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Stop funding saturated channels because average ROAS still looks healthy. LiftLab maps where each channel’s returns flatten, helping you direct the next dollar toward the opportunities with greater incremental return.
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Incrementality testing should do more than produce a lift number. In LiftLab, the Agile MMM identifies exactly where uncertainty is highest and guides your team toward the right experiments to run there. Every result feeds back through the Trust Engine, tightening response curves and narrowing forecast ranges with each cycle.
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Markets move, so your January plan may not hold in June. Run Conserve, Maintain, and Accelerate scenarios against current response curves to understand the trade-offs before making your next budget decision.
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Markets shift mid-campaign. LiftLab detects changes in efficiency daily and recommends exactly where to move spend before the opportunity window closes. You decide when spend moves actually.
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Brand investment does not always show its full value in short-term ROAS. LiftLab links short-term brand signals to long-term equity using Long-Term Multipliers, bringing the value of top-of-funnel investment directly into the model.
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A VIRTUOUS CYCLE
Not a one-time model. A continuously compounding system.




A marketing effectiveness platform that separates real consumer demand from noise, so every budget decision compounds.
Quantify what is driving performance, where returns flatten, and how your next dollar should move. Model brand and performance media in one view with AI-guided response curves built for ongoing optimization.
Explore Agile MMM →
Prove causal lift with auditable geo experiments, then feed the results back into your Agile MMM to sharpen response curves and strengthen every subsequent budget decision.
Explore Incrementality Testing →
Apply live auction signals to stable response curves every day, so your team can respond to changing market conditions without rebuilding the model each time.
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Build full-funnel, constraint-aware budget scenarios. Compare expected returns and trade-offs to align Marketing and Finance before spending is committed.
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Built for enterprise teams that can't afford to get marketing effectiveness measurement wrong.
SOC 2 & ISO 27001 certified. Enterprise-grade protection and audit-ready data integrity for total financial peace of mind.
Unified data ingestion across your entire media stack, eliminating platform bias and resolving conflicting signals before the model runs.
Go from raw data to boardroom-ready scenario ranges in weeks, with weekly model reviews and daily PlatformSense signals that keep your team acting on current conditions, not last quarter's assumptions.