Learn about subscriber retention, engagement, and lifecycle metrics with clear definitions and practical examples.
Winback Rate
Upgrade/Downgrade Rate
Trial-to-Paid Conversion Rate
Retention Rate Lift
Registered to Subscribe
Reactivation Rate (Resubscribers)
Payback Period
Gross Revenue Retention (GRR)
Activation Rate
Upsell
Net Revenue Retention (NRR)
Monthly Recurring Revenue (MRR)
Customer Retention Rate
Lifetime Value (LTV)
Customer Acquisition Cost (CAC)
Cohort Retention Rate
Churn Rate
Churned MRR (Churned Monthly Recurring Revenue)
Average Revenue Per User (ARPU)
Churn Score
Annual Recurring Revenue (ARR)
Retention Rate Lift
What is retention rate lift?
Retention rate lift measures the incremental improvement in subscriber retention achieved as a result of specific interventions, such as campaigns, experiments, or product changes. It highlights how much better a cohort performs when exposed to a strategy compared to a control group, offering a direct link between engagement initiatives and measurable outcomes.
Why retention rate lift matters
- Evidence of impact: It isolates the effect of retention activities from broader business trends, showing whether an initiative actually moves the needle.
- Optimization signal: Teams can identify which experiments, re-engagement offers or personalized onboarding deliver meaningful retention gains.
- Commercial value: A higher retention lift translates into longer subscriber lifetimes and more predictable recurring revenue.
How to measure retention rate lift
Retention Rate Lift = (Retention Rate of Test Group: Retention Rate of Control Group)
For example, if a campaign raises retention from 65% to 72% among a treated group, the lift is +7 percentage points.
Inclusions and exclusions
- Include: Controlled retention experiments, lifecycle campaigns, and targeted engagement initiatives.
- Exclude: Broader retention improvements caused by external factors (seasonality, market shifts) without clear attribution.
Retention rate lift in subscription businesses
For publishers and media subscription models, retention rate lift provides clarity on which tactics truly extend subscriber lifecycles. Instead of relying only on aggregate churn numbers, commercial teams can pinpoint the exact impact of initiatives like win-back journeys, tailored upgrade offers, or bundled pricing strategies. With Subsets, businesses run these lifecycle experiments at scale, automate delivery, and measure retention lift in real time, ensuring every improvement is tied to tangible business value.

The depth and breadth of the results analysis we can generate from Subsets has been invaluable. We are aiming to turn validated experiments into 'always on' and let Subsets select subscribers for targeting and trigger the campaigns.

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