Blogs
Practical guidance on planning budgets, proving incrementality, and staying ahead of platform shifts without sacrificing long-term growth.
Blogs
Is LiftLab Right for Your Enterprise?
LiftLab is designed for enterprise marketers who spend $5 million or more each year on brand and performance media, across sectors such as Omnichannel Retail, D2C and Ecommerce, New-Age CPG, Technology, Financial Services, QSR, and Travel. The system is suitable for teams whose aim is to turn causal measurement into a plan approved by Finance, […]
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Marketing Mix Modeling for QSR Brands: Measuring Promotions, Delivery Apps, and Local Media
The story in one line: QSR is a measurement edge case that quietly breaks generic marketing mix modeling. A national TV dollar builds craving over weeks; a delivery-app promotion dollar harvests hunger the same day. A model built for national e-commerce cannot tell them apart, so it averages both into one coefficient and gets the […]
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Retail Media Measurement for CPG: Measuring Beyond the Retailer Dashboard
Retail media incrementality measures whether advertising generated additional CPG sales beyond the purchases that would have happened anyway, a different question than whether an ad and a sale simply occurred close together. Retailer dashboards answer the second question well; they cannot answer the first, because they were never built to. This guide covers what independent […]
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How to Evaluate AI Agents for Marketing Measurement: A Buyer’s Checklist
The story in one line: An AI agent answering measurement questions is only as good as the causal data beneath it and the accountability around it. Evaluate the foundation and the guardrails, not the chat window. What the Demo Won’t Show You You watched demos from three different vendors using three chat windows, that seem […]
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Meta’s Attribution and DMA Changes: What They Mean for Your Geo Lift Testing and MMM
The story in one line: Platform changes change the numbers, not the reality. Know which instrument the change touched, and re-baseline that one, rather than relitigating the whole measurement stack. The Dashboard Moved. Your Marketing Didn’t Your reported return on ad spend moved and your marketing did not. No creative shipped. No budget shifted. No […]
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Best Incrementality Testing Platforms in 2026: How to Actually Compare Them
The best incrementality testing platform depends on how your team tests, makes decisions, and uses evidence afterward. Compare seven areas: methodology fit, statistical rigor, calibration into planning models, activation, service model, finance-readiness, and team support. Then consider decision cadence, data readiness, and analytics maturity. Evaluating shortlisted platforms under consistent conditions gives you a clearer basis […]
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What Is Causal Measurement in Marketing? Experiments, Calibration, and How to Estimate What Marketing Actually Caused
Causal measurement in marketing is a quantitative framework for estimating the actual effect caused by marketing, often called incrementality, rather than the effect it appears to have based on which touchpoints get credit. It compares real-world results with a counterfactual estimate of what would have happened without the marketing intervention, isolating incremental impact from existing […]
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Fast MMM vs Accurate MMM: Why You Should Not Have to Choose
Learn how LiftLab helps CPG and DTC marketers improve marketing modeling accuracy with validated predictions and experiment-calibrated refreshes.
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How to Build a 2027 Marketing Budget Your CFO Will Actually Approve
CFOs don’t cut budgets. They cut unconvincing proposals. Build a framework for marketing budget planning that survives finance scrutiny.
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