ARPPU, average revenue per paying user, is total revenue over a period divided by the number of users who actually paid — deposited or wagered — in that period, rather than by all active users.
Definition
ARPPU, average revenue per paying user, is total revenue over a period divided by the number of users who actually paid — deposited or wagered — in that period, rather than by all active users. Where ARPU mixes in users who engaged but spent nothing, ARPPU isolates the spending behaviour of the people who monetise, so it answers "how much does a paying player spend?" separately from "what share of players pay?".
Comparing ARPU and ARPPU is informative. If ARPU is flat but ARPPU is rising while the paying share falls, the operator is monetising a shrinking core of higher spenders harder; if ARPPU is flat but ARPU rises because more users convert to paying, the improvement is in activation, not spend depth.
The two metrics together decompose revenue into breadth (how many pay) and depth (how much each payer spends).
In context
In iGaming, ARPPU is watched closely because the paying population is small and highly skewed — a minority of players produces most of the revenue — so understanding what a paying player is worth, and how that changes with tenure, product and promotion, matters more than the all-user average. Operators segment ARPPU by value tier (so the whale segment is analysed apart from the recreational one), by product, and by acquisition source, and they track it against retention because a high ARPPU is only valuable if those payers stay.
For affiliates on RevShare, ARPPU among their referred cohort, combined with the conversion-to-paying rate and retention, determines commission over time. The typical analytical errors are reading ARPPU without the paying-share denominator (a rising ARPPU driven purely by losing low spenders is not growth), letting a few whales' variance dominate a small segment's ARPPU month to month, and comparing ARPPU across operators without matching the revenue definition and the "paying" threshold.
Worked example
An operator sees ARPPU rise 15% quarter over quarter and treats it as good news, until analysis shows the paying-user share fell from 22% to 17% — it lost casual depositors and kept the heavy ones. Blended revenue is flat, and the operator refocuses on activating and retaining the low-tier players it was losing.
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