TryPropel: Retention benchmarks are only useful when you anchor them to a category (2026 vertical ranges)
TryPropel compiles 2026 retention benchmarks across ecommerce, subscriptions, and consumer apps. The useful takeaway is the spread: day-30 retention ranges from ~2% (shopping) to ~12% (social), so ‘good’ depends on vertical and metric.
Original article (source): TryPropel - “Customer Retention Benchmarks by Vertical: 2026 Data Deep Dive” (published August 12, 2026)
The useful point (and why app teams should care)
Asking “what is a good retention rate?” without a category is like asking “what is a good conversion rate?” without saying whether it is a paid search page or an onboarding step.
TryPropel’s piece is a reminder that category and metric selection are the whole game:
- day-N retention (apps)
- repeat purchase rate (ecommerce)
- subscriber churn (subscriptions)
You cannot mix them and expect truth.
The benchmark ranges worth stealing
The article compiles multiple external sources and (most importantly) puts the spread on one page. The app-relevant line:
- Median day-30 retention for consumer apps lands roughly in the 2% to 12% range by category.
Whether your day-30 is “good” depends on what you build, and what your purchase/usage cycle looks like.
The 3 rules they call out (these map cleanly to mobile growth practice)
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Match the metric Do not compare your “day-30 retention” to someone else’s “monthly churn”. It is different math.
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Benchmark cohorts, not blended averages Blended averages hide channel mix shifts and promo-driven spikes. Cohorts make the drift visible.
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Split voluntary from involuntary churn (subscription apps) If a meaningful chunk of churn is failed payments, you have a retention problem that is often cheaper to fix than “make the product better”.
Tiny win (do this in 30 minutes)
Pick one KPI you report weekly (retention, churn, repeat purchase, whatever applies).
- Write the exact definition (numerator/denominator + time window).
- Add one peer anchor (category-specific benchmark range).
- Add one cohort slice (e.g., paid vs organic, or activated vs non-activated).
That single page usually prevents months of “our retention is bad” arguments based on the wrong comparison.
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