In this episode of Unqualified Leads, we break down incrementality testing — what it is, how it works, and when B2B teams should (and shouldn’t) use it. While attribution shows where conversions come from, it often fails to show what actually caused them. Incrementality testing fills that gap by measuring true cause and effect.
We explain the core differences between attribution, incrementality testing, and marketing mix models, and why correlation alone can lead to poor budget decisions. You’ll learn how control groups and holdouts work, what sample size and spend levels are required, and why timing and organisational buy-in matter just as much as the data itself.
We also cover real-world scenarios where incrementality testing becomes essential — rising CAC, overlapping channels, brand and retargeting over-credit, and leadership pressure to justify spend. Finally, we outline the practical prerequisites, common pitfalls, and how modern teams can run incrementality tests without massive data science resources.
If you’re making high-stakes marketing decisions and want confidence that your spend is truly driving incremental revenue, this episode is essential listening.
Hosts:
Daniel Hughes: https://www.linkedin.com/in/dan-h-771904141/
Harry Hughes: https://www.linkedin.com/in/harry-hughes-6409b163/