Blog

August 8, 2025

Nikolai Skelbo

Measuring subscriber performance beyond open rate and CTR

Measuring subscriber performance beyond open rate & CTR using retention lift rate, LTV, and real engagement.

Open rates and click-through rates (CTR) have long been the default metrics for measuring the success of subscriber performance. While they provide a quick pulse check on campaign delivery, they do not reveal whether subscribers are being retained, engaging with content, forming habits, or increasing in value over time.

Retention leaders are moving beyond surface-level metrics to build measurement frameworks that directly tie to retention and lifetime value. This shift involves:

  • Looking beyond campaign metrics toward retention rates and quality measures that show the impact of interventions.
  • Setting clear objectives for each initiative, whether the goal is engagement, winback, trial conversion, or upsell, while keeping overall growth in focus.
  • Treating experimentation as continuous, as behavioral audiences respond differently over time, requiring ongoing refinement.

Why go beyond open and CTR metrics

Opens and clicks are campaign-level indicators. They show whether a message was seen and acted upon, but not whether it influenced ongoing engagement or retention. Subscriber retention is multi-dimensional and can include factors such as:

  • Breadth of content consumed
  • Time spent
  • Frequency of return visits
  • Payment behavior

By integrating signals from billing, subscription events, website and app usage, and customer support interactions, subscription businesses can measure retention in ways that connect directly to churn risk, upsell potential, and long-term loyalty.

Metrics that matter for retention

Commercial teams with a mature retention strategy focus on performance indicators that show real subscriber value. Core metrics include:

  • Retention rate lift: The percentage increase in subscribers retained after targeted interventions, such as re-engaging dormant users or tailoring offers for those nearing a price step-up.
  • Engagement: Measures like visit breadth, session duration, total time spent, pageviews, and unique visits, which show how deeply subscribers interact with content.
  • Lifetime value (LTV): How engagement patterns link to higher revenue and longer subscriber tenure.
  • Winback: The number of previously churned or dormant subscribers reactivated through targeted campaigns.
  • Registered to subscribe: The percentage of registered users converting to paid subscriptions.

Connecting engagement measurement to action

Subsets’ workflow ensures engagement metrics are not only tracked but also turned into action:

Segment → Experiment → Measure → Automate

  • Segment: AI identifies audiences at risk of churn or primed for upsell based on behavioral signals like declining session frequency, payment history, or feature adoption.
  • Experiment: Retention A/B tests (e.g., smart downgrades, trial extensions, premium feature unlocks) are run to influence engagement.
  • Measure: Impact is tracked across retention rate lift, LTV, visit breadth, and other engagement KPIs, not just email metrics.
  • Automate: Winning variants are deployed as always-on retention flows, automatically including new subscribers who match the audience profile.

Examples in practice

  • Smart downgrades: Offering a lower price to monthly subscribers with declining engagement led to a 23.9% lift in retention.
  • Personalized recommendations: Tailored content increased visit breadth by 13% and unique visits by 14%.
  • Ad reduction offers: Reducing ad exposure for low-engagement subscribers increased visits by 36% and pageviews by 23%.

In each case, the success metric was not how many people opened an email but how subscriber behavior and retention shifted after the intervention.

Final thoughts

To truly understand subscriber performance, retention teams must measure the behaviors that indicate habit formation, engagement, and long-term value. Open and CTR are just the starting point; real insight comes from tracking activity, breadth of consumption, and retention outcomes.

Subsets enables this shift by linking subscriber metrics with retention and revenue data, turning every intervention into a measurable, repeatable driver of growth.

Book a walkthrough to see how your team can measure and act on subscriber engagement performance beyond opens and clicks.

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