Marginal revenue measures what the next dollar drives, beyond a channel’s incremental revenue. This matters because platform and last-click revenue aren’t incremental, so answering what a channel drives requires a model, not a dashboard. Without a model checking whether spend reliably explains revenue over time, one good week isn’t proof, just one data point. This video explains how weekly incremental revenue dashboards lead to the next-level metric, marginal revenue.
Why Marginal Revenue Is the Metric Beyond Incremental Revenue
Marginal revenue is the metric beyond incremental revenue, because knowing how much a channel has driven in total is a different question from knowing exactly what the next dollar spent there would drive. In this video, John Wallace, CEO of LiftLab, describes one of the most common questions prospects bring to LiftLab: how do I get the incremental revenue for each of my channels? The trap most of them are already in is looking at non-incremental data, whether that’s revenue reported directly by an ad platform or last-click numbers, neither of which is actually incremental.
Wallace explains that the only real fix is putting the data into a model built to answer one question repeatedly: do changes in spend reliably explain changes in revenue? A single Wednesday where spend and sales both rose isn’t proof of anything on its own, since other channels were likely moving at the same time; only a model looking across a much longer period, a year of data, can disambiguate what actually caused what. The payoff is a weekly dashboard, checked every Monday morning, showing exactly what was spent and how much incremental revenue each channel drove the week before, giving marketers a real basis for reallocating spend. Wallace teases marginal revenue, paired with marginal spend, as the next metric beyond that, calling it the true bedrock for marketing budget optimization.
In this video, you’ll learn:
Why platform-reported and last-click data are insufficient for measuring true incremental revenue
The limitations of treating short-term spend fluctuations as conclusive evidence of channel success
How advanced modeling helps disambiguate the impact of various marketing activities over time
The importance of using a dashboard to gain clear, actionable insights into weekly channel performance
How marginal revenue serves as a foundational metric for smarter, data-driven budget optimization
TIME STAMPFull Video Transcript: Marginal Revenue and Incremental Revenue Measurement Explained
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LiftLab CEO John Wallace explains why measuring incremental revenue requires modeling, not platform data, and how it sets up the next metric marketers need: marginal revenue.
[0:00 – 0:27] The Challenge of Measuring Incremental Revenue
If a prospect asks me, how do I get a hold of the incremental revenue for each one of my channels, that’s precisely why they’re coming to LiftLab. That’s one of the fundamental, or some people call it kind of Holy Grail, questions. They’re typically at that time where they asked a question looking at non-incremental data. It’s data and revenue figures coming right out of the ad platforms themselves, which we know aren’t incremental, or looking at last-click data, which also is not incremental. So that’s where the knock on the door comes.
[0:27 – 1:08] Using Modeling to Disambiguate Data
Our approach to that is to put their data in a model. The job of that model is to answer the question over and over again: do changes in spend reliably explain changes in revenue? And so, how much incremental revenue does that spend drive? If you increase your spend on Wednesday and sales go up, that’s one piece of evidence, but it’s not conclusive. You need to be able to demonstrate that over a longer period of time, over a year of data. And those changes, like I said, the spend goes up on Wednesday and the revenue goes up, but you get other spend going up on other channels, so you need a model to disambiguate.
[1:08 – 1:46] Actionable Insights for Optimization
What you’ll get out of that is a dashboard that tells you on every day, and our favorite example is on Monday morning, you come in and look at the prior week, and you’ll know what you spent on all of your channels and how much each of them drove in terms of incremental revenue. Each marketer is using that to decide, “have I invested correctly?” and it lays the foundation to reallocate the spend. There’s actually a big brother metric we’ll talk about another time, which is marginal revenue. Marginal spend and marginal revenue really are the bedrock for doing optimization.
Key Lessons: From Incremental Revenue to Marginal Revenue
The data problem: Reliance on non-incremental platform data provides an incomplete picture of marketing effectiveness.
The modeling solution: Using a robust model is essential to separate and identify the true revenue-driving impact of each channel.
Strategic optimization: Weekly data reviews enable marketers to evaluate past investments and lay the foundation to reallocate spend for better results.
Advanced metrics: Incorporating marginal revenue and marginal spend is necessary to reach the next level of campaign optimization.
