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Customer Analytics

Customer Retention Rate

Customer Retention Rate shows the percentage of customers from the start of a period who are still customers at the end. New customers are removed from the ending count so acquisition does not disguise losses from the original base.

Business context

Why Customer Retention Rate matters

An increase generally means more of the existing base is staying. A decline should be investigated by customer segment, plan, cohort, and reason for leaving.

Business question
What share of the customers we started with did we keep through this period?
Teams that use it
Customer success, account management, product, finance, and leadership teams.
Decisions it supports
Renewal programmes, service improvements, onboarding changes, account outreach, and revenue planning.
Calculation

Customer Retention Rate formula

((End Customers − New Customers) ÷ Start Customers) × 100

Formula components

Start customers
Distinct customers active at the beginning of the measurement period.
End customers
Distinct customers active at the end of the same period, including customers acquired during it.
New customers
Customers first acquired during the period; they are subtracted from the ending count.
Measurement period
The agreed week, month, quarter, or year used for all three counts.

How to calculate Customer Retention Rate

  1. Set the start and end dates and define exactly what qualifies as an active customer.
  2. Count distinct customers at the start and at the end.
  3. Subtract customers acquired during the period from the ending count.
  4. Divide by starting customers and multiply by 100.
Worked example

Customer Retention Rate example

A subscription service starts the quarter with 1,250 customers. It ends with 1,320 customers after adding 190 new customers.

  1. Original customers remaining = 1,320 − 190 = 1,130.
  2. Retention rate = 1,130 ÷ 1,250 × 100.
  3. Retention rate = 90.4%.

Customer Retention Rate is 90.4% for the quarter.

The business kept just over nine in ten customers from the opening customer base; the larger ending total should not be mistaken for perfect retention.

How to interpret the result

Read retention beside the number and value of customers lost. Keeping many small accounts can produce a strong customer retention rate while lost large accounts materially reduce revenue.

Expected retention differs by contract length, purchase frequency, industry, customer segment, company maturity, and measurement window. Compare like with like.

Common mistakes and limitations

Leaving new customers in the numerator
This can make acquisition look like retention and can even produce a result above 100%.
Changing the active-customer rule
A customer must be classified consistently at the start and end.
Mixing monthly and annual views
Retention over different windows is not directly comparable.
Ignoring cohorts
Newer customers may behave differently from long-standing customers.
Churn Rate Percentage of customers lost during a specific period. Cohort Retention Rate Retention rate of specific user groups (cohorts) over time. Customer Lifetime Value (CLV) Average revenue generated per customer over their lifetime. Net Revenue Retention (NRR) Measures revenue retained from existing customers over a period.

Turn metric definitions into answers your team can use.

Vizma helps teams understand and track business metrics using their data. Bring your Customer Retention Rate definition, underlying data, and reporting questions to a Vizma demo.

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