docs.remarkable.net

International sales report

Sales attributed by country/region — bar chart, filters and CSV export guidance.

This page explains the International sales report — how sales are attributed to countries or regions as defined by the site (not marketplace attribution), the filters available and the CSV export format.

At a glance

  • Purpose: show how sales are distributed across countries or regions so merchants can attribute revenue by geography and prioritise international strategies.
  • Primary visuals: a bar chart (country/region vs metric) and a table beneath the chart listing country, count and revenue.
  • Controls: a right-hand filter panel with date range and country/region selectors; CSV export for the underlying rows.

Chart overview

  • Visual: a bar chart where each bar represents a country or region. The chart commonly shows either count (number of orders) or revenue for each geography.
  • Axes: the X axis lists country names (or the Y axis for a horizontal layout); the measure axis shows count or revenue.
  • Behaviour: bars are ordered by the selected metric. Long country names may be truncated in the chart but are fully available in the table and on hover.

Typical metrics available:

  • Count: number of orders attributed to the country/region in the selected range.
  • Revenue: total sales value attributed to that country/region in the selected range.

Filters and controls

  • Date range selector: choose the period to analyse.
  • Country / Region filter: focus on one or more countries or regions (useful for regional performance reviews).
  • Metric toggle: switch the chart between count and revenue.
  • Export: download chart data or the table as CSV from the top-right menu.

Table and export

  • Under the chart there is a table listing rows for each country/region with columns such as country_code (where available), country_name, count and revenue. Typical CSV columns:
country_code,country_name,count,revenue
GB,United Kingdom,240,12000.00
  • The CSV contains one row per country/region with its code/name, the count of orders and total revenue for the selected range. Country definitions (what counts as 'international') follow the site's store configuration.

How to interpret the report

  • High count, low revenue: many low-value orders from that geography — review pricing and logistics for those markets.
  • High revenue, low count: a small number of high-value orders — consider prioritising stock and merchandising for those markets.
  • Geographic shifts: sudden changes often indicate marketing activity, currency or shipping changes, or integration issues. Cross-check campaign and fulfillment logs.

Sample CSV export

A minimal example row from the CSV export:

country_code,country_name,count,revenue
GB,United Kingdom,240,12000.00

Walkthrough: quick start

Choose the date range you want to analyse.

Use the Country / Region filter to focus on the markets you care about.

Toggle the chart between Count and Revenue to change the sorting and insight focus.

Click Export → CSV to download the country rows for offline analysis.

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