ARPA: how to calculate Average Revenue Per Account (formula + examples)

ARPA (SaaS) explained: definition, ARPA formula, step-by-step calculation, and how to use ARPA with churn, payback, and LTV.

Updated 2026-02-22

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Definition

ARPA (Average Revenue Per Account) is revenue divided by the average number of paying accounts in a period. It is often more decision-useful than ARPU in B2B SaaS because you sell to companies, not individual users.

ARPA formula

ARPA = revenue / average paying accounts

How to calculate ARPA (step-by-step)

  • Choose a time window (month/quarter) and define what counts as a paying account.
  • Sum revenue for the same window (be consistent: gross vs net of refunds/credits).
  • Compute average paying accounts for the window (e.g., (start + end) / 2).
  • Divide revenue by average accounts to get ARPA.

ARPA vs ARPU

  • ARPA is per account/customer; ARPU is per active user.
  • If you price per company, ARPA usually matches how you sell and report.
  • If you price per seat/user, ARPU can be more natural.

How to use ARPA with payback and LTV

  • Monthly gross profit ~ ARPA * gross margin.
  • Payback (months) ~ CAC / (ARPA * gross margin).
  • LTV (gross profit) ~ (ARPA * gross margin) / churn (shortcut model).

Data QA checklist

  • Use average paying accounts, not total signups.
  • Keep revenue definition consistent (gross vs net, refunds/credits).
  • Segment by plan and company size if pricing differs.

ARPA benchmarks (directional)

  • There is no universal ARPA benchmark; compare within your segment.
  • ARPA should cover CAC payback in a reasonable window for your stage.
  • Use ARPA trends to detect pricing and mix shifts early.

Common mistakes

  • Mixing accounts and users (denominator mismatch).
  • Comparing ARPA across periods with major mix shifts without segmentation.
  • Changing what revenue is included (net vs gross) without labeling.

More in saas metrics

APR vs APY: how compounding changes the effective rate
ARPU growth decomposition: what drove revenue (ARPU vs users)