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Benchmarks

Subscription business benchmarks what the published data actually says

Churn rates, payment failure rates, and retention benchmarks for subscription businesses. Every figure on this page is traced to a named source. Where good data does not exist, that is stated clearly.

Payment failure benchmarks (Recurly)
Churn and retention ranges
LTV calculation framework
~9% payment failure (Recurly Benchmark)
Direct debit: lower failure than card
LTV formula: Revenue / Churn Rate
Sources named for every figure

Quick Answer

Most published subscription benchmarks come from SaaS companies. For UK service businesses the most relevant figures are: ~9% of recurring payments fail on first attempt; businesses offering pause options retain more clients than those without; monthly churn below 5% is a healthy target. Use published benchmarks as directional reference points, not targets.

Most published subscription benchmarks come from SaaS companies where churn drivers, payment methods, and unit economics look nothing like a local service business. This page collects the published data most relevant to service subscription businesses, traces every figure to a named source, and explains the context and caveats alongside each number.

What are the payment failure benchmarks for subscription businesses?

Source: Recurly Subscription Benchmark Report (1,200+ subscription companies on the Recurly platform).

~9%

First-attempt payment failure

Across all payment types in the Recurly dataset.

~24%

Recovery via dunning

Of initially failed payments recovered by automated retry sequences.

Lower

Direct debit vs card failure

Direct debit failure rates are consistently below card rates for recurring UK billing.

Churn and retention: what the literature says

Published churn benchmarks for subscription businesses vary widely by industry, business model, and the platform reporting them. The following ranges come from Recurly's annual benchmark data and represent the range across industries in their customer base. They are not specific to service businesses.

Churn typeDefinitionNotes
Voluntary churnClient actively cancelsReduced by service quality, communication, and pause options. Most benchmarks cover voluntary churn.
Involuntary churnSubscription cancelled due to failed paymentRecurly found ~9% of payments fail on first attempt. A portion of these become cancellations if not recovered.
Gross churnTotal subscriber losses as % of starting countThe most common headline metric. Does not account for upgrades or expansion revenue.
Net churnGross losses minus expansion revenueRelevant for multi-tier plans where clients upgrade. Less applicable to single-price service subscriptions.

How do LTV benchmarks vary by retention rate?

Rather than publishing a single LTV figure, the most useful benchmark is the relationship between retention rate and LTV at different revenue-per-customer points. These are calculated values using the standard LTV formula (monthly revenue / monthly churn rate), not survey data.

Expected LTV at varying retention rates. Assumes constant churn and static monthly revenue per customer.
Monthly retentionLTV at £60/monthLTV at £80/monthLTV at £120/month
92%£750£1,000£1,500
95%£1,200£1,600£2,400
97%£2,000£2,667£4,000
98%£3,000£4,000£6,000
99%£6,000£8,000£12,000

What these benchmarks do not tell you

Published subscription benchmarks have three significant limitations for service businesses:

  • Sample bias: Most come from SaaS and digital subscription platforms. Service businesses with personal client relationships typically have different churn dynamics.
  • No capacity constraint: Digital subscriptions scale without operational limits. A service business can only serve as many clients as its capacity allows, so growth benchmarks are not directly comparable.
  • No regional breakdown: UK-specific subscription data for small service businesses is not published in any comprehensive form. Stripe publishes some UK payment data, but not churn or LTV by vertical.

Use the frameworks above to calculate your own benchmarks from your own data, then track them over time.

Sources

  • Recurly Subscription Benchmark Report: Annual publication analysing subscription payment and retention data. recurly.com
  • Chargebee SaaS Benchmarks: Annual report covering SaaS subscription metrics. chargebee.com
  • Reichheld, F. F. (1996), “The Loyalty Effect”, Harvard Business School Press. Foundation for LTV and retention economics.
  • Stripe payment data: UK card and Bacs direct debit failure rate data from the Stripe platform. stripe.com

How Bizzly handles this

Bizzly runs subscription billing through Stripe. Your revenue, active subscriber count, and payment failure data flow into your connected Stripe account automatically. The frameworks on this page become real numbers you can read in the Stripe Dashboard as subscriptions activate, cancel, and payments succeed or fail.

Frequently Asked Questions

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Subscription Business Benchmarks for Service Industries | Bizzly