Customer retention rate: how to calculate it (formula and benchmarks)
Customer retention rate is the percentage of customers a business keeps over a specific period, measured without counting the new customers added along the way. I run demand generation at Bettermode and spend real money acquiring customers, which is exactly why I watch retention so closely: every customer the company retains is acquisition budget I do not have to re-spend. This guide covers the retention rate formula with a worked example, benchmarks across different industries, the related customer retention metrics worth tracking, and the levers companies actually use to keep more customers.
How do you calculate customer retention rate?
You need three counts for any given period: the number of customers you started with (S), the number of customers you ended with (E), and the new customers acquired during that period (N). The period can be a month, a quarter, or a year; subscription companies usually track monthly and quarterly, while companies with longer cycles compare against the previous year.
The customer retention rate formula
The simple formula: take your ending customers, subtract the customers gained during the period, divide by your starting customers, then multiply by 100 to get a percentage. Expressed that way, the result stays comparable across periods even as your customers grow in number.
Customer retention rate = ((E − N) / S) × 100
Subtracting new customers matters because acquisition can mask churn. A company that loses 200 customers but signs 250 looks like it grew, while the company's retention quietly rots.
Which customers should you count?
Decide what a customer means before you run the numbers. If customers can hold multiple subscriptions, count customers rather than subscriptions, or the same customers show up twice. Keep trial customers and free-tier customers out of the math, because mixing paying customers with free customers flatters the retention rate. B2B companies usually count accounts as customers, while subscription services count active paying customers. You do not need an analytics stack for any of this: two customer-list exports, one from the start of the period and one from the end, and a spreadsheet will do the math. However you define it, the number of customers has to mean the same thing at the start and the end of the period.
A worked example
Plugging the three inputs (E, N, S) into the formula: say your company starts the quarter with 1,000 customers, acquires 250 new customers during the quarter, and ends with 1,100 total customers.
- End of period: 1,100 customers
- Minus new customers acquired: 1,100 − 250 = 850 original customers remaining
- Divided by starting customers: 850 / 1,000 = 0.85
- Multiplied by 100: a customer retention rate of 85%
An 85% retention rate on 1,000 starting customers means 150 customers walked. That 85% also tells you the inverse: a customer churn rate of 15% for the quarter, since the two always sum to 100% of the customers you started with.
What is the average customer retention rate by industry?
Retention rates vary widely across different industries, so benchmark against your own business model before judging your number. FirstPageSage's industry analysis puts average customer retention rates at:
| Industry | Average customer retention rate |
|---|---|
| Commercial insurance | 86% |
| Business consulting and professional services | 85% |
| IT and managed services | 83% |
| Automotive | 76% |
| B2B SaaS | 74% |
| Hospitality | 55% |
| Retail | 24% |
The pattern is logical. Contract-based services with high switching costs sit at the top, essential services hold customers by default, and transactional retail sits at the bottom, with media companies and ecommerce in between. Retail wins new customers easily and loses customers just as fast. SaaS companies with recurring revenue tend to obsess over this number because retention compounds directly into monthly recurring revenue. A good customer retention rate is therefore relative: 74% is solid for B2B SaaS and would be alarming for an insurance book. Use the benchmarks to set realistic expectations, then compete against your company's own historical data rather than another company's industry average.
What other customer retention metrics matter?
Customer retention rate is the headline, but a few related key performance indicators give you a clear picture of why customers stay with a business or go.
Churn rate and customer churn rate
Churn rate is the mirror image of retention: the percentage of customers lost in a given period. Some teams also track revenue churn separately, because losing one large company hurts more than losing three small customers. If your churn rate is climbing while your retention rate looks stable annually, your measurement window is hiding the problem; check the monthly churn rate too. Churn also compounds quietly: a company losing 3% of its customers every month is down roughly a third of its customers within a year.
Repeat purchase rate
For companies selling products or services without subscriptions, repeat purchase rate does the job retention rate does for recurring revenue: the percentage of customers who come back for a second purchase. Repeat purchases are the behavioral proof of customer loyalty, and pairing repeat purchase rate with average order value shows whether repeat purchases are also getting bigger. Your company's sales data usually contains everything you need to calculate the purchase rate without new tooling.
Customer lifetime value
Customer lifetime value (CLV) translates retention into money: what a customer is worth across the whole relationship, from first interaction to last invoice. To calculate CLV in its simplest form, multiply average order value by purchase frequency by customer lifespan. Retention is the biggest lever in that equation, because extending the customer lifetime multiplies everything else, and customers with long lifespans end up dominating the math.
Net promoter score, customer satisfaction, and customer effort
Net promoter score, customer satisfaction score (CSAT), and customer effort score are the leading indicators in the set. Survey responses, customer satisfaction score trends, and the share of positive responses move a quarter or two before retention does, which makes them your early warning system. Watch customer effort especially: when customers report working hard to get value, churn follows.
What are the best strategies to improve your customer retention rate?
The full playbook is in our 15 customer retention strategies guide, but these five levers move the retention rate fastest. Each one removes a specific reason existing customers leave, and together they retain customers your acquisition spend already paid for.
Onboarding and value realization
Most churn is decided early, before customers see results. A structured onboarding that drives value realization in the first weeks does more to improve customer retention than any save-offer at renewal, because it sets customer expectations and then visibly meets them.
Proactive support across the customer experience
Reach out before customers do. Monitoring product quality signals, ticket feedback, failed payments, and stalled usage lets your team fix problems while they are small, and resolution time itself shapes how customers judge the customer experience. Positive experiences with support are remembered at renewal; being treated as an inconvenience is remembered longer. The companies that retain customers best usually answer fastest.
Community engagement
A branded community gives customers a sense of belonging, peer support across communication channels, and a reason to come back between purchases. This is what we build at Bettermode, and the retention logic is simple: existing customers who are connected to other customers have more holding them than a login and an invoice. One compliance software customer moved its community to Bettermode off a customer success suite it had outgrown, and now tracks community impact on net revenue retention directly. Our customer engagement metrics guide covers how to measure whether it is working. If running the community is your job, this is the number to tie your work to, because engagement charts get nods while retention numbers get budget.
Act on customer feedback
Customer feedback tells you why customers leave before they leave. Collect it, route it, fix the top feedback themes, and tell customers what changed. The valuable information is usually already in your tickets and surveys; the differentiating move is visibly acting on it.
Loyalty programs and long term relationships
Loyalty programs improve customer loyalty by rewarding the stay and nudging repeat purchases, but the durable version is structural: long term relationships built on accumulated value, where leaving means losing history, status, and connections. Strategic adjustments like annual plans and usage-based tiers mean the business retains customers through budget cycles too.
FAQ
What is a good customer retention rate?
It depends on your business model. Against the FirstPageSage benchmarks above, a good retention rate means beating your industry average: a B2B SaaS company at 80% is outperforming, while an insurance brokerage at 80% is leaking. A high customer retention rate relative to your own previous year is the more useful goal, and a client retention rate trending up beats any static target.
How is retention rate different from churn rate?
They are two views of the same movement of customers. Retention rate counts the percentage of customers who stayed through a specific period; churn rate counts the percentage of customers who left. Watch both per segment, because enterprise customers and self-serve customers rarely churn at the same rate. An 85% retention rate means a 15% churn rate. Most companies report both because retention motivates and churn diagnoses, and the fastest way to reduce churn is to study the customers who almost left but stayed.
How often should you calculate customer retention rate?
Monthly for subscription services, quarterly for everyone else, and annually for board reporting. Whatever the cadence, keep the time period consistent so the trend is real. The number of customers in each cohort matters too: small segments swing wildly, so judge small groups of customers over longer windows before making strategic adjustments. Total customers can stay flat while old customers leave and new customers replace them, which is why segment-level customer retention metrics catch what the average of all customers hides.
TL;DR
- The formula: customers at the end of the period, minus new customers acquired, divided by customers at the start, times 100.
- Count paying customers only, exclude the ones you added mid-period, and keep the same period every time you run it.
- Benchmarks swing hard by industry. FirstPageSage has commercial insurance at 86% and retail at 24%, so 74% is healthy for B2B SaaS and alarming for an insurance book.
- Retention rate and churn rate always sum to 100% of the customers you started with, so you get both from one calculation.
- The comparison that matters is your own last quarter, not somebody else's industry average.
