Glossary

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)

Reactivation Rate (Resubscribers)

What is reactivation rate?

Reactivation rate measures the percentage of previously churned customers or lapsed subscribers who return and start paying again within a given time frame. It reflects how effective a business is at winning back lost users and restoring recurring revenue.

Why reactivation rate matters

  • Revenue recovery: Every reactivated subscriber offsets the cost of acquisition and contributes to lifetime value.
  • Engagement insights: High reactivation signals that the product or content remains relevant, even after a lapse.
  • Retention strategy feedback: It highlights the effectiveness of win-back campaigns, pricing adjustments, and targeted offers.

How to calculate reactivation rate

Reactivation Rate = (Number of resubscribers in a period ÷ Total number of churned customers in the same period) × 100

For example, if 1,000 subscribers churn in Q1 and 150 return in Q2, the reactivation rate is 15%.

Inclusions and exclusions

  • Include: Subscribers who fully return to paid plans after canceling or lapsing.
  • Exclude: Free trial reactivations or users who never entered a paid subscription tier.

Reactivation rate in subscription businesses

For subscription companies, reactivation rate is a direct indicator of brand stickiness. Readers who churn and later return often do so because of compelling new content, tailored offers, or improved user experiences.

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.

Andy Wilson
Head of Subscriber Retention @ Daily Mail

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