Building an Adaptive Full-Funnel Media Optimization System that turns every dollar of brand and performance spend into compounding economic value.
19 pages · 25 Mins to Read
Published January 2026.
Dirk Beyer
Chief Data Scientist
Bala Kandula
Co-Founder and Chief Product Officer
Sushant Ajmani
Head of Product Marketing
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THE PROBLEM
Platforms grade their own homework. Last-click rewards whoever showed up last. And the channels actually building demand go unfunded because they're harder to measure. Short-term wins, long-term decay.
Brand investments accrue slowly, persist over time, and manifest indirectly through branded search and organic lift, invisible to last-click attribution and easy to defund.
Quarterly MMM refreshes are blind to daily CPM, CTR, and creative shifts. Even weekly models lag. By the time insights arrive, the market has already moved.
Revenue now vs. demand later. Profit vs. growth. Without a unified framework to quantify these trade-offs, teams default to short-term and growth plateaus.
“It is a critical error to mistake exposure for persuasion. Over-crediting performance channels risks over-funding them, while cutting brand spend neglects future demand creation—resulting in higher CAC, lower ROAS, and stagnant growth over time."
John Wallace
CEO, LiftLab
WHAT'S INSIDE THE PAPER
LIFTLAB'S PERSPECTIVE
Using a single model to track both daily volatility and long-term brand equity often leads to ineffective measurement of both. LiftLab addresses this by measuring each layer separately with the required precision, then integrating them into one decision framework. This approach ensures that short-term fluctuations do not compromise long-term strategy.
01
Two-stage MMM that distinguishes auction dynamics from consumer response—measuring immediate conversions and long-term brand capital.
02
Indexed effectiveness modifiers that catch daily ad platform shifts with dashboard speed, grounded in econometric rigor.
03
A closed loop where MMM surfaces high-uncertainty channels for experiments, and results continuously recalibrate the model.
04
Constraint-aware spend planning across revenue, profit, or CAC—accounting for real-world limits like pre-committed spend and saturation.
From the Field
"LiftLab's platform has been instrumental in helping us bridge the gap between long-term strategic goals and the need for frequent and short-term optimization."
"We run incremental lift tests to validate model output, which ensures our CPA is always in line. We have become the trusted conduit for optimizing marketing spend across the organization."
"LiftLab was the only vendor that offered a single comprehensive view of performance alongside a means to estimate the marginal profitability of our last dollar spent."
Traditional MMM models revenue directly on ad spend, conflating ad cost and consumer response. Quarterly refreshes (with a 90-day lag) leave teams blind to real platform shifts. Crucially, they can’t separate short-term conversions from long-term brand capital effects, causing systematic over-crediting of performance channels, rising CAC, and eroding base sales.
SKIMS, Pandora, Birkenstock, and Cinemark trust this framework to guide their annual marketing investments. Download it and see how every dollar of brand and performance spend becomes a defensible, CFO-ready decision.
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