Blogs
Practical guidance on planning budgets, proving incrementality, and staying ahead of platform shifts without sacrificing long-term growth.
Showing 6 of 34 Blogs

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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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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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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Causal measurement in marketing estimates 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 demand. Because that counterfactual can […]
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Learn how LiftLab helps CPG and DTC marketers improve marketing modeling accuracy with validated predictions and experiment-calibrated refreshes.
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CFOs don’t cut budgets. They cut unconvincing proposals. Build a framework for marketing budget planning that survives finance scrutiny.
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