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)

Lifetime Value (LTV)

What is lifetime value (LTV)?

Lifetime value (LTV) is the total revenue a business can expect from a subscriber over the entire period they remain active. It reflects the combined impact of acquisition, engagement, retention, upselling, and cross-selling on long-term revenue. Unlike short-term metrics, LTV provides a comprehensive view of the financial contribution of each subscriber.

Why LTV matters

  • Strategic planning: LTV helps determine how much you can afford to spend on acquisition while staying profitable.
  • Retention impact: Longer subscriber lifecycles directly increase LTV, making retention a key driver of growth.
  • Revenue optimization: High LTV accounts often respond well to premium offers, bundles, or loyalty programs.

How to calculate LTV

The simplest formula:

LTV = Average Revenue Per User (ARPU) x Average Customer Lifespan

Advanced calculations can factor in gross margin, churn probability, and cohort-based retention data for greater accuracy.

Inclusions and exclusions

  • Include: All recurring subscription revenue, upsells, add-ons, and renewals.
  • Exclude: One-time fees or purchases not tied to ongoing subscription value.

LTV in subscription businesses

For subscription models, LTV is a guide for balancing acquisition and retention investments. A healthy LTV-to-CAC ratio means each subscriber is not only covering their acquisition cost but generating additional profit over time. Subsets enhances LTV tracking by tying engagement behaviors, like visit breadth, session time, and payment history, to projected subscriber value, allowing teams to predict, protect, and grow revenue more effectively.

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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