At a glance
AOV by Country breaks your average order value down by the buyer’s country. Depop’s buyer base skews young and spans markets with very different price tolerances and shipping economics, so a single blended average can hide where your most valuable orders come from. This card shows which markets buy higher-value items, which is where pricing, shipping offers and listing focus pay back most.
| What it counts | Average order value, split by buyer country, for the selected period. Shown as a bar comparison across markets. |
| Sample type | Backend API data from Depop, refreshed on the standard data refresh. |
| Why it matters | Order value varies by market because of currency, shipping cost and category mix. Knowing where high-AOV orders come from tells you where to concentrate listing effort and where international shipping is worth the friction. |
| Reading the value | Compare bars across countries, not just the headline. A market with high AOV but low order count may be a growth opportunity; a high-volume low-AOV market may need a different price or product mix. |
| Currency | currency |
| Time window | 30D |
| Alert trigger | - |
| Sentiment key | dep_aov_by_country |
| Roles | owner, marketing |
Calculation
The card groups orders by buyer country and computes average order value within each group over the window. Vortex IQ reads order value and buyer location from the Depop integration and normalises currency for comparison where applicable.Worked example
A representative reading of AOV by Country for a typical UK-based vintage shop on Depop. Over 30 days the blended AOV was about 28 pounds, but the breakdown told a sharper story: domestic UK orders averaged 24 pounds while US buyers averaged 41 pounds, driven by higher-value designer pieces. Vortex Mind highlighted that US orders were only 12 percent of volume but 19 percent of revenue. The seller responded by featuring designer items more prominently and offering a clearer US shipping option. To explore the split, ask Ask Viq for average order value by country this month sorted by value.Sibling cards merchants should reference together
| Card | Why merchants reach for it |
|---|---|
dep_orders_by_country | Geography sibling: volume by market, the other half of the picture. |
dep_aov | Sales sibling: the blended average this card decomposes. |
dep_net_revenue | Revenue sibling: where high-AOV markets lift the bottom line. |
dep_revenue_trend | Trend sibling: how market mix shifts over time. |
dep_order_count | Volume sibling: total orders behind the averages. |
Reconciling against Depop
Where to look in Depop’s own dashboard: Depop does not surface an AOV-by-country breakdown directly. To reconcile, cross-check the blended AOV against your order history and confirm the country split looks right against a sample of recent orders. Why the Vortex IQ value may legitimately differ:| Reason | Direction | What to do |
|---|---|---|
| Currency normalisation. Cross-market comparison requires a common currency. | Variable | Confirm the reporting currency. |
| Buyer location vs shipping address. Country may be derived differently. | Marginal | Check which location field is used. |
| Period boundary. Vortex IQ uses a 30-day rolling window. | Variable | Match the period range. |