At a glance
AOV by Country breaks your average order value down by buyer country over the last 30 days. Mercari is mostly a domestic marketplace, so the value tells you where each sale comes from and whether any cross-border pocket is worth chasing.
| What it counts | Average order value, total sales value divided by order count, split by the buyer’s country over a rolling 30-day window. |
| Sample type | Backend API data from Mercari, refreshed on the standard data refresh. |
| Why it matters | Mercari volume is overwhelmingly domestic (US, with a separate JP marketplace), so this card confirms your home market is healthy and flags any unusual cross-border demand that might be worth listing strategy attention. |
| Reading the value | Read each country’s average against your overall AOV. A single dominant home-market figure is normal; a high-value outlier country signals niche demand worth a closer look. |
| Currency | currency |
| Time window | 30D |
| Alert trigger | - |
| Sentiment key | mer_aov_by_country |
| Roles | owner, marketing |
Calculation
For each buyer country seen in the trailing 30 days, the card sums completed sales value and divides by the number of orders from that country to give a per-country average. Values are expressed in your reporting currency, so cross-border orders are converted before averaging. Countries with very few orders will show volatile averages, since one large sale can swing a small denominator.Worked example
A representative reading of AOV by Country for a typical Mercari reseller. Suppose, illustratively, your domestic AOV sits at 61 across just 6 orders. The high outlier is interesting but thin, six orders is not a trend, yet it hints that buyers there reach for your higher-ticket items. The action is to watch whether that pocket grows before changing listing or shipping strategy, rather than reacting to a small sample. Cross-referencemer_aov for the blended figure and mer_total_transactions to weigh how much volume each country actually represents. Vortex Mind traces the upstream cause, for example a single premium sale inflating a small country’s average, and Ask Viq answers plain-English questions like “which countries lifted my average order value this month”.
Sibling cards merchants should reference together
| Card | Why merchants reach for it |
|---|---|
mer_aov | The blended average this card decomposes by country. |
mer_total_transactions | Weigh each country’s average against its order count. |
mer_total_revenue | See how much each market contributes to top-line revenue. |
mer_top_listings_by_revenue | Identify which items drive the higher-value country pockets. |
mer_revenue_over_time | Track whether a country’s contribution is growing or fading. |
Reconciling against Mercari
Where to look in Mercari’s own dashboard: Mercari’s seller view shows your sales history and order totals, though it does not always surface a ready-made per-country breakdown. To approximate it, review your completed orders and their shipping destinations, then compare the per-country averages against this card. Why the Vortex IQ value may legitimately differ:| Reason | Direction | What to do |
|---|---|---|
| Period boundary. Vortex IQ uses a 30-day rolling window; Mercari order history may default to calendar months. | Variable | Match the period range. |
| Time zone. Orders near a day boundary can fall into a different reporting day than Mercari’s account time zone. | Marginal | Confirm time zone match. |
| Filter scope. Currency conversion and profile filters can shift per-country averages versus Mercari’s native-currency view. | Variable | Match filter settings. |