[GTM glossary](/glossary.txt) Incrementality Marketing # Incrementality Also known as: incremental lift In short Incrementality is the measure of the additional results, such as leads or revenue, that a marketing activity actually caused, compared with what would have happened without it. It answers the question "did this campaign create new demand, or just take credit for existing demand?" Standard attribution reports show which touchpoints a buyer saw. Incrementality asks a different question: whether removing the activity would have changed the outcome. ## Why incrementality matters Some channels reach people who were going to buy anyway. Branded search ads and retargeting are common examples. They can show strong conversion numbers while adding little new revenue. Measuring incrementality helps teams move budget from activity that merely collects credit to activity that creates growth. --- ## How to measure it ### Holdout test Randomly split a target audience. One group sees the campaign, the other does not. The difference in conversions between groups is the incremental lift. ### Geo experiment Run the campaign in some regions and pause it in matched regions. Compare results. This works when you cannot randomize at the person level. ### Time-based pause Switch a channel off for a defined period and watch total pipeline. It is simple but easily distorted by seasonality and other changes. --- ## A simple example Say a team retargets 10,000 site visitors, and 200 book a demo. That looks great. But a holdout group of 10,000 similar visitors who saw no retargeting also produces 180 demos. The incremental lift is about 20 demos, not 200. The numbers here are only an illustration, but the logic is the point: the campaign is judged on the gap, not the total. --- ## Incrementality vs. attribution * **Attribution:** Assigns credit across touchpoints in the path to a conversion. It describes what happened. * **Incrementality:** Tests what changed because of the activity. It estimates cause and effect. * **Use together:** Attribution gives daily direction. Incrementality tests check whether that direction is right. --- ## Common mistakes * **Groups that are not comparable:** Random assignment or well-matched regions are essential. * **Too small a sample:** Small tests produce noisy results. Run long enough to see a stable difference. * **Testing once:** Results change with market, creative, and budget. Re-test major channels periodically. * **Long B2B sales cycles:** Measure leading outcomes such as qualified meetings, since closed revenue may arrive after the test ends. --- ## Incrementality FAQs **What is incrementality in marketing?** Incrementality is the extra result, such as leads or revenue, that a marketing activity caused beyond what would have happened without it. It separates real impact from conversions that would have occurred anyway, often measured with controlled experiments. **How do you measure incrementality?** Run a controlled test. Split a similar audience or set of regions into a group that sees the campaign and a holdout group that does not, then compare conversion rates. The difference between the groups is the incremental lift. **What is the difference between incrementality and attribution?** Attribution distributes credit for a conversion among touchpoints the buyer interacted with. Incrementality tests whether the activity changed the outcome at all. Attribution describes the path, while incrementality estimates cause and effect. **What is incremental lift?** Incremental lift is the percentage or absolute increase in a result, such as conversions, in the exposed group compared with a holdout group. If the exposed group converts at a higher rate, the gap is the lift caused by the campaign. Share term --- ## More related phrases * [Marketing testing](/glossary/marketing-testing.txt) * [Marketing effectiveness](/glossary/marketing-effectiveness.txt) * [Attribution](/glossary/attribution.txt) ## Similar phrases * [A/B testing](/glossary/a-b-testing.txt) A/B testing compares two versions of a page, email, or ad by splitting traffic between them to see which one produces more of a chosen result. * [B2B marketing attribution](/glossary/b2b-marketing-attribution.txt) B2B marketing attribution assigns credit for pipeline and revenue to the marketing touchpoints that influenced a buying group over a long sales cycle. * [Marketing mix modeling (MMM)](/glossary/marketing-mix-modeling.txt) Marketing mix modeling (MMM) is a statistical method that estimates how much each marketing channel contributes to sales or pipeline, using aggregate historical data rather than individual tracking. * [Multi-touch attribution](/glossary/multi-touch-attribution.txt) Multi-touch attribution assigns credit for a conversion or deal across every marketing and sales touchpoint, instead of giving it all to one interaction. * [Return on ad spend (ROAS)](/glossary/return-on-ad-spend.txt) Return on ad spend (ROAS) measures the revenue earned for every dollar spent on advertising, calculated by dividing ad-attributed revenue by ad cost.