Incremental revenue vs last-click comes down to this: last-click can rise while pulling credit from another channel, revenue barely moving. This matters because optimizing against last-click can harm the business, since the metric doesn’t confirm the forecast is being hit. Without comparing last-click against incremental revenue, budget stays trapped in channels that only look strong. This video explains how redeploying budget to strong channels creates a cycle of beating forecast.
Why Incremental Revenue vs Last-Click Is the Comparison That Actually Matters
Incremental revenue vs last-click is the comparison that actually matters, because a channel can drive last-click revenue up simply by pulling credit away from another channel, with no real change to the total. In this video, John Wallace, CEO of LiftLab, describes a pattern many marketers recognize firsthand: spend on non-branded search can push last-click revenue up without moving the needle on the actual forecast, because that revenue was often just relabeled from somewhere else in the plan. His pointed question for anyone relying on this data: why hire a strong marketing team and then hand them numbers that reward the wrong behavior?
The fix Wallace describes is putting last-click revenue and incremental revenue side by side, which is exactly what LiftLab shows, so budget can move toward wherever the incremental number shows real opportunity. He frames the process simply: take from the poor-performing channels and give to the rich ones, creating a virtuous cycle. Wallace shares an anonymized client story to illustrate the payoff: a customer reported doing unusually well one quarter, and when pressed on why, credited months of redeploying budget out of channels that only looked strong and into channels with a genuinely stronger signal, consistently beating forecast using the same working capital.
In this video, you’ll learn:
Why last-click attribution data is often unreliable for forecasting
How focusing on wrong metrics can harm company performance
The importance of comparing last-click revenue with incremental revenue
Strategies for optimizing budgets to improve overall marketing efficiency
How data-driven reallocation leads to beating business goals
TIME STAMPFull Video Transcript: Incremental Revenue vs Last-Click Attribution Explained
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LiftLab CEO John Wallace explains why incremental revenue, not last-click attribution, should guide budget decisions, including a real client story.
[0:00 – 0:33] The Problem with Last-Click Attribution
We’ve seen this happen, many marketers have felt it. We can use our spend, our budget, to make last-click numbers go up. That doesn’t necessarily mean that we’re going to hit or beat our forecast, and that’s where things fall short. That’s where the quality of those last-click numbers hold us back. I know I can spend money on non-branded search and watch the last-click revenue go up, but again, not necessarily sure I’m going to hit my forecast that way. It may just be taking credit from some other channel or some other place, and the total doesn’t actually move enough to move the needle, as we call it.
[0:33 – 0:44] The Risk of Flawed Data
To me, it really begs the question: why would you hire such a strong team of marketers and then give them last-click, or bad data, to work from? The more they optimize those numbers, the more harm they’re going to do the firm.
[0:44 – 1:12] Moving Toward Incremental Revenue
What you kind of have to envision is the side-by-side of, here’s the last-click revenue, and here’s the incremental revenue, and that’s what you’ll see in LiftLab. It gives you a chance to say, where are the incremental revenue numbers showing the most opportunity, and of course, let’s move our budget there. We like to say, take from the poor and give to the rich, right? We want the poor performing channels to get less budget, and we want the strong performing channels to get more budget, and that’s a virtuous cycle.
[1:12 – 1:48] Real-World Success Stories
We’ve seen this happen. We’ve talked to clients, and they were telling us, I asked the general question of how’s business, and they’re like, we’re doing really well right now. And I thought, well, what was that? Did you run a promo? Did something, you know, a new product release? And then they smiled and said, it was you, in LiftLab, that we have been over time redeploying out of channels that we thought were working well into channels that we got a lot stronger signal about, and we’ve taken it to the bank. So they were consistently beating forecasts because they were getting more efficiency out of the same working capital, the same media plan.
Key Lessons: Choosing Incremental Revenue Over Last-Click Attribution
Marketing attribution: Last-click numbers frequently take credit from other channels without actually moving the needle for the business.
Strategic budgeting: The most effective approach is to take budget from poor-performing channels and move it toward those with stronger incremental signals.
Business impact: Companies that prioritize incremental revenue over last-click data gain significant efficiency, allowing them to consistently beat their quarterly forecasts.
Data utilization: Hiring strong marketing teams is wasted effort if they are provided with inaccurate or incomplete data to optimize.
