AOV vs ARPU
AOV measures revenue per order; ARPU measures revenue per customer over a window. Here's when each is the right denominator for online stores — and why subscription brands need ARPU.
AOV vs ARPU
AOV is revenue per order; ARPU is revenue per customer across a time window — they answer different questions.
Average Order Value (AOV) divides total revenue by the number of orders in a period. It's a transaction-level metric: how much does a typical checkout pull in. Average Revenue Per User (ARPU) divides total revenue by the number of unique customers in that period. It's a customer-level metric: how much does a typical buyer spend with you over a month, quarter, or year.
The distinction matters most when customers buy more than once. For a one-and-done apparel store, AOV and monthly ARPU look similar. For a subscription coffee brand or a refill-driven beauty store, ARPU is two to four times AOV — and optimising the wrong one will quietly mis-steer your acquisition spend.
The cleanest way to think about it: AOV is what the cart sees, ARPU is what the customer file sees. AOV moves when you change pricing, bundles, free-shipping thresholds, or upsells in the checkout flow. ARPU moves when you change retention, purchase frequency, or who you acquire in the first place.
Both are denominators in bigger calculations. AOV sits inside conversion-rate optimisation and revenue-per-visitor maths. ARPU sits inside LTV, CAC payback, and cohort profitability. Pick the wrong one and you'll optimise a local maximum — a fatter checkout that brings in worse customers, or a cheaper acquisition channel that destroys repeat rate.
AOV vs ARPU across common DTC store types (90-day window)
| Store type | Typical AOV | Typical 90-day ARPU | ARPU / AOV ratio |
|---|---|---|---|
| Apparel (mid-market Shopify) | €75 | €110 | 1.5× |
| Beauty / skincare (refill-driven) | €45 | €135 | 3.0× |
| Coffee / consumables subscription | €32 | €115 | 3.6× |
| Electronics / one-off purchase | €220 | €240 | 1.1× |
| Home & lifestyle | €95 | €140 | 1.5× |
The ratio in the right-hand column is the tell. Anything close to 1.0× means your customers behave like one-time buyers within the window — AOV is a fine proxy. Anything above 2.0× means repeat purchases dominate your revenue, and AOV will systematically understate what each customer is worth.
When AOV is the right denominator
Use AOV when the decision you're making lives inside a single checkout. Cart upsells, free-shipping thresholds, bundle pricing, post-purchase one-click offers, payment-plan promotions — every one of these levers is measured cleanly by what changes in the average order. AOV is also the right denominator for revenue-per-visitor calculations and most on-site A/B tests, because the experiment exposure window is the session, not the customer lifetime.
AOV is also fine for businesses where 80%+ of customers buy once in a 90-day window — high-consideration electronics, furniture, single-purchase gift categories. In those models, monthly or quarterly ARPU is essentially a rescaled AOV and the extra accounting overhead isn't worth it. Stick with AOV and channel-level revenue, and revisit ARPU only if your repeat rate climbs above 25%.
The AOV trap for subscription stores
If your first order is a discounted trial (€19 starter kit) and your real revenue comes from month two onward, AOV will tell you customers are worth €19. They're worth €115. Optimising acquisition channels on AOV alone will reward whoever brings the cheapest trial-takers — not the ones who actually stick.
When ARPU is the right denominator
Use ARPU when the decision spans more than one purchase. Acquisition-channel ROI, CAC payback, cohort comparisons, retention experiments, and any LTV-driven decision should run on ARPU, not AOV. The window matters: 30-day ARPU is useful for fast-moving consumables, 90-day for most beauty and apparel, 12-month for considered purchases with seasonal repeat patterns.
ARPU is also the right lens when you're comparing customer segments — new vs returning, paid social vs organic, subscription vs one-time. Segment-level AOV is misleading because high-AOV segments often have low repeat rates (one big purchase then gone), while low-AOV segments can be your most valuable on a customer basis if they come back four times a quarter.
AOV vs 90-day ARPU across DTC store types
AOV
90-day ARPU
AOV vs ARPU — common questions
AOV (Average Order Value) is total revenue divided by number of orders. ARPU (Average Revenue Per User) is total revenue divided by number of unique customers in a time window. AOV is per-transaction; ARPU is per-customer.
Use ARPU when customers buy more than once in your reporting window — subscription, refill, or repeat-purchase businesses. Also use ARPU for acquisition-channel ROI, LTV, and cohort analysis. AOV will systematically understate customer value in these contexts.
No. ARPU is revenue per customer over a fixed window (30, 90, or 365 days). LTV (lifetime value) is the projected total revenue per customer across their entire relationship with you. ARPU is an input into LTV calculations, not a substitute.
Take total revenue from a defined window (e.g. last 90 days) and divide by the count of unique customers who placed at least one order in that window. Shopify's customer report exports give you both numbers; most analytics tools compute it automatically.
Because your customers are buying more than once in your reporting window. The ratio of ARPU to AOV is roughly equal to average purchase frequency. A 3× ratio means a typical customer places three orders in the window.
It works but adds little. If 90% of customers buy once and never return within your window, ARPU and AOV will be within 10% of each other and AOV is the simpler metric. ARPU earns its keep when repeat rate is above 25%.
ARPU, almost always. Paid channels need to be judged on the full revenue a customer generates, not just their first order. Optimising paid spend on AOV alone biases you toward channels that drive cheap first transactions but poor retention.
Highly category-dependent. Beauty refill and consumable subscription stores typically see 90-day ARPU of €100-€150. Apparel ranges €90-€140. High-ticket electronics often have 90-day ARPU within 10% of AOV because repeat is rare. Compare against your own cohort trend, not absolute benchmarks.
Yes, and you should. AOV drives checkout-level optimisation (bundles, thresholds, upsells); ARPU drives customer-level decisions (channel mix, retention, LTV). Tracking both keeps short-term cart wins from masking long-term retention problems.
ARPU sits a layer above AOV measurement in your metric stack. AOV is what you measure to optimise individual transactions; ARPU is what you measure to understand customer economics. Most stores need both, scoped to different decisions and reporting windows.
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