Black Friday Incrementality: How to Separate Real Lift from the Calendar
Black Friday incrementality is the share of peak-season revenue your marketing caused, as opposed to what the calendar would have delivered anyway. Platform dashboards credit media for baseline demand, existing purchase intent, and discount-driven sales. Geo holdout tests separate those by comparing regions with and without spend. This guide covers when to test, how to […]
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Holiday Ad Spend: How to Find Where Returns Start to Fall
Holiday ad spend stops being effective when a channel’s marginal ROAS (the return on the next dollar spent) drops below breakeven. With a 40% contribution margin, breakeven is 2.5x, meaning each new dollar needs to bring in $2.50 in extra revenue to cover its cost. In Q4, higher CPMs, more competition, and audience fatigue can […]
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LiftLab vs. Meta Robyn: Which MMM Is Right for You?
Meta Robyn suits teams that can staff a full MMM practice in-house: data collection, quality control, model design, interpretation, and ongoing maintenance. LiftLab suits teams that would rather hand that work to specialists and plan against a model that is updated regularly, calibrated with experiments, and built for finance-approved budget decisions. Robyn is free software […]
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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 Will not Show You You watched demos from three different vendors using three chat windows, that […]
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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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