Glossary
PopularWhat is ARPDAU?
ARPDAU is a monetisation metric calculated by dividing total daily revenue by the number of daily active users — the standard daily operating number for games and ad-supported apps.
Why daily
ARPU over a month blends users with wildly different engagement and takes a month to tell you anything. ARPDAU normalises to a single day, which makes it comparable across periods of different lengths and fast enough to act on.
That responsiveness is the point. A monetisation change, a new ad placement or a pricing test shows up in ARPDAU within days, which is why it is the number on the dashboard rather than in the quarterly review.
How to read a change
ARPDAU moves for reasons that require opposite responses, and the ratio alone does not distinguish them.
It rises when monetisation genuinely improves — and also when low-engagement users churn, shrinking the denominator. A rising ARPDAU alongside falling DAU is usually a warning rather than a win.
It falls when a marketing campaign brings a wave of new users who have not yet monetised, which is normal and temporary. It also falls when an ad placement is removed, which may be a deliberate trade for retention.
The discipline is to read it alongside DAU and retention rather than on its own.
ARPDAU for AI applications
- Split by revenue type. Advertising and subscription behave differently and should not be averaged.
- Watch it against session length. Advertising that raises ARPDAU while shortening sessions is borrowing from tomorrow.
- Consider per-query revenue as well. For conversational products, revenue per query often describes the economics more directly than a per-user figure.
- Cohort it by acquisition source, or a change in traffic mix will read as a change in monetisation.
Common questions
What is a good ARPDAU?
Entirely category-dependent — a casual game and a productivity tool have no comparable range. The useful comparison is your own trend and, where available, benchmarks within your specific category.
Does ARPDAU work for subscription products?
Less well. Subscription revenue is lumpy and recognised periodically, so daily attribution is somewhat artificial. Cohort revenue and retention describe subscription economics better.
More in pricing and return
What a campaign costs to run, and what it gives back.
- Ad revenue
- Ad spend
- Average revenue per user (ARPU)
- Cost aggregation
- Cost models
- Cost per action (CPA)
- Cost per click (CPC)
- Cost per install (CPI)
- Cost per mille (CPM)
- Customer acquisition cost (CAC)
- Installs per mille (IPM)
- Lifetime value (LTV)
- Offerwall
- Paywall
- Return on ad spend (ROAS)
- Return on investment (ROI)