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)
Customer Retention Rate
What is customer retention rate?
Customer retention rate measures the percentage of subscribers a business retains over a specific period. It shows how well a company is maintaining its existing customer base and building long-term relationships. Unlike churn rate, which focuses on loss, retention rate highlights stability and loyalty within the subscriber base.
Why customer retention rate matters
- Revenue stability: A strong retention rate ensures predictable recurring revenue and reduces reliance on constant acquisition.
- Cost efficiency: Retaining subscribers is more cost-effective than acquiring new ones, improving profitability over time.
- Growth signal: High retention is a leading indicator of strong product-market fit and sustainable business growth.
How to calculate customer retention rate
Retention Rate = [ (E−N) / S ] ×100
Where:
- E = Subscribers at the end of the period
- N = New subscribers acquired during the period
- S = Subscribers at the start of the period
Inclusions and exclusions
- Include: Active paying subscribers, renewed contracts, and those continuing beyond trial.
- Exclude: Free users without conversion, dormant accounts that never activated, or one-time purchasers.
Customer retention rate in subscription businesses
In subscription models, customer retention rate is directly tied to lifetime value (LTV) and overall profitability. Even a small increase in retention can lead to significant revenue gains because subscribers continue generating recurring income over longer lifecycles. Subsets connects retention rate with behavioral signals like session frequency, visit breadth, and payment events, helping teams understand not just how many subscribers stay, but why they stay and how to scale that success across cohorts.

The depth and breadth of the results analysis we can generate from Subsets have 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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