Subscription Churn Data
Buy and sell subscription churn data data. Who cancels, when in their lifecycle, and what they say on the way out. Every subscription business needs churn benchmarks.
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Find Me This Data →Overview
What Is Subscription Churn Data?
Subscription churn data captures which customers cancel their subscriptions, at what point in their lifecycle, and their reasons for leaving. This dataset includes user-specific information such as joining dates, payment history, device usage, plan duration, and subscription expiration dates. For subscription businesses, churn data is essential for understanding customer retention patterns, identifying at-risk segments, and benchmarking performance against industry peers. The median churn rate across all subscription business verticals in 2024 was 7.44%, though rates vary significantly by vertical, geography, and business model.
Market Data
7.44%
Median Churn Rate (All Verticals)
Source: Slicker / Subbly
41.3%
Disney+ Non-Renewal Rate (Sample)
Source: ResearchGate
28–35%
Involuntary Churn in Beauty Boxes
Source: Slicker
25–30%
Involuntary Churn in Fitness Subscriptions
Source: Slicker
$200M+ (year-over-year)
Reactivation Revenue from Paused Subscribers
Source: Recurly / Slicker
Who Uses This Data
What AI models do with it.do with it.
Subscription Box & Replenishment Services
Retailers selling consumable subscriptions (beauty boxes, pet supplies, food) use churn data to identify cart-abandonment patterns, payment failures, and seasonal drop-offs. Replenishment and curated box services show superior retention rates and are key buyers of competitive benchmarks.
Streaming & OTT Platforms
OTT and digital content businesses analyze churn to understand engagement and perceived value. Digital content models show the highest top-quartile churn (16.7%), making churn data critical for optimizing content strategy and pricing.
Fitness & Wellness Subscriptions
Fitness subscription providers use churn data to track involuntary churn from card expiry and payment issues (25–30% involuntary churn), and voluntary churn from seasonal disengagement. Localized retention strategies are essential given geographic variations.
SaaS & Membership Platforms
Membership and B2C SaaS businesses leverage churn data to benchmark retention, segment by cohort lifecycle, and optimize pricing. Memberships boast the lowest churn rates, while subscription boxes have the highest.
What Can You Earn?
What it's worth.worth.
Benchmark Reports & Vertical Analysis
Varies
Aggregated churn benchmarks by vertical, business model, and geography. High demand from mid-market merchants ($0–$10MM revenue).
Granular Cohort Data (Lifecycle Churn)
Varies
Customer-level churn data by join date, plan duration, and payment history. Premium for high-volume datasets with rich feature flags.
Involuntary Churn Intelligence
Varies
Payment failure data, card expiry rates, and churn reason attribution. Critical for retry engine optimization and payment processors.
Geographic & Seasonal Churn Patterns
Varies
Regional churn variations and month-over-month trends (e.g., Q1 spike post-holiday). Localization strategy data commands premium.
What Buyers Expect
What makes it valuable.valuable.
Accurate Lifecycle Dates
Buyers require precise join dates, last payment dates, plan durations, and calculated expiration dates. Data integrity is critical for survival curve and cohort analysis.
Rich Churn Attribution
Churn reason labeling (involuntary vs. voluntary, primary failure cause) is highly valued. Datasets that distinguish between payment failures, card expiry, and true engagement churn command premium pricing.
Vertical & Model Segmentation
Buyers expect data segmented by subscription model (replenishment, boxes, access, content), vertical (beauty, fitness, SaaS), and geography. Unsegmented data is of lower value.
Privacy & Compliance
All datasets must comply with GDPR, CCPA, and payment processor requirements. PII must be hashed or anonymized. Buyers verify encryption and audit trails.
Scale & Freshness
Datasets covering thousands of merchants and updated monthly or quarterly are most valuable. Trailing data (3–12 months) is preferred for trend analysis.
Companies Active Here
Who's buying.buying.
Aggregate churn benchmarks from thousands of merchants to create comparative reports and identify best practices by vertical and geography.
Purchase involuntary churn data to train AI-driven retry mechanisms and card update workflows. Use vertical-specific churn breakdowns to optimize retry success rates.
Analyze competitor and internal churn data by geography, device, subscription tier, and audience segment. Use machine learning to predict high-risk cohorts.
Benchmark churn against peers in their vertical (beauty, pet, replenishment). Identify seasonal patterns and pricing elasticity to optimize retention budgets.
FAQ
Common questions.questions.
Is there a correlation between subscription price and churn?
No. Churn data reveals virtually no correlation between Average Order Value (AOV) and churn rates—customers are equally likely to maintain a $10/month subscription as a $100/month one. Factors like market positioning, targeting accuracy, and perceived value matter far more than price alone.
What is involuntary vs. voluntary churn?
Involuntary churn occurs due to payment failures (expired cards, insufficient funds, billing address changes) and accounts for 15–35% of total churn depending on vertical. Voluntary churn reflects true disengagement. Involuntary churn is recoverable through retry engines and automated card updates.
Which subscription models have the lowest churn?
Memberships show the lowest churn rates, while replenishment services and curated boxes demonstrate superior retention compared to digital content (16.7% top-quartile churn) and access subscriptions. Geography and localized retention strategies also significantly impact churn.
How can I use churn data to improve retention?
Segment churn by cohort lifecycle, vertical, geography, and payment method. Identify seasonal patterns (e.g., Q1 post-holiday spikes, lower September churn). Invest in platform feature adoption and pricing optimization tailored to local markets. Implement AI-driven retry engines to recover involuntary churn—which can reduce churn by up to 40%.
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If your company generates subscription churn data, AI companies are actively looking for it. We handle pricing, compliance, and buyer matching.
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