Lift is the measured improvement in an outcome attributable to an intervention compared with a comparison condition. It separates genuine performance gains from changes caused by seasonality, market shifts, or other external factors. section 1.6
Measure lift through a disciplined incrementality process:
- Set a concrete outcome, such as conversion rate, churn reduction, repeat-purchase frequency, cost per acquisition, or incremental revenue. section 1.6
- Compare an exposed group with a control or holdout group using A/B testing or another controlled experiment. section 1.6
- Attribute the difference to the intervention only after accounting for external influences rather than assuming every improvement came from the data strategy. section 1.6
Re-engaging dormant customers
A retailer combined email with Meta Ads, targeted customers who had not opened email for 60 days, tested a discount against free shipping, and measured incremental lift over four weeks. The coordinated effort re-engaged nearly 25% of the dormant audience and increased repeat purchases. section 7.2
