Refunds by country and currency

How to use the Metrics API to get the total number of refunds of your organization, grouped by the different countries and currencies

The problem

You want to get the total number of refunds associated with your orders over a selected date and time range, grouped by the different countries your organization sells in. For each country, you also want to group the results by currency.

The solution

Query

You need to perform a breakdown query setting the required query keys as follows and adding the optional ones based on your needs:

Key	Value
by	order.country_code
field	refunds.id
operator	value_count

You also need to add a nested breakdown setting the related query keys as follows:

Key	Value
by	order.currency_code
field	refunds.id
operator	value_count

Filter

Make sure to set the desired date and time range using the date_from and date_to keys in the filter.

In the example below, since the date_field isn't specified in the date filter, the default value current_date will be used, meaning that the results will count all the orders that changed their status within the selected date and time range (read more about this).

Try it on Postman 🚀

Example

Request

The following request uses the Metrics API to get the total number of refunds, grouped by country and currency:

 curl -g -X POST \
  'https://{{your_domain}}.commercelayer.io/metrics/orders/breakdown' \
  -H 'Accept: application/vnd.api.v1+json' \
  -H 'Content-Type: application/vnd.api+json' \
  -H 'Authorization: Bearer {{your_access_token}}' \
  -d '{
    "breakdown": {
      "by": "order.country_code",
      "field": "refunds.id",
      "operator": "value_count",
      "sort": "desc",
      "limit": 20,
      "breakdown": {
        "by": "order.currency_code",
        "field": "refunds.id",
        "operator": "value_count",
        "sort": "desc",
        "limit": 20
      }
    },
    "filter": {
      "order": {
        "date_from": "2021-01-01T00:00:00Z",
        "date_to": "2021-12-31T23:59:00Z"
      }
    }
  }'

Response

On success, the API responds with a 200 OK status code, returning the aggregated, nested values in the data object and extra information in the meta object:

{
  "data": {
    "order.country_code": [
      {
        "label": "GB",
        "value": 8957,
        "order.currency_code": [
          {
            "label": "GBP",
            "value": 8905
          },
          {
            "label": "USD",
            "value": 43
          },
          {
            "label": "EUR",
            "value": 9
          }
        ]
      },
      {
        "label": "DE",
        "value": 1576,
        "order.currency_code": [
          {
            "label": "EUR",
            "value": 1576
          }
        ]
      },
      {
        "label": "US",
        "value": 749,
        "order.currency_code": [
          {
            "label": "USD",
            "value": 746
          },
          {
            "label": "EUR",
            "value": 2
          },
          {
            "label": "GBP",
            "value": 1
          }
        ]
      },
      { ... }
    ]
  },
  "meta": {
    "type": "breakdown",
    "trace_id": "fe571ea2-8a4f-4a5e-bd26-ac54651bb2e4",
    "mode": "test",
    "organization_id": "xYZkjABcde",
    "market_ids": [ "yzXKjYzaCx", "..." ]
  }
}

Similar cases

Just changing a couple of query keys and/or filter parameters you can address lots of very similar use cases, such as:

• Total number of orders by market and payment method name
• Average order total amount by currency and country code
• Top 5 best-selling products in the best-selling markets
• Top 5 best-selling countries for the best-selling products
• Total number of orders by status and payment status
• Top 10 spenders by currencies
• Total number of active returns by market name and return status
• Total number of orders by customer email associated with a specific coupon
• Total number of carts by status and related amount stats by currency code
• Total number of pending carts by customer email and payment method name
• Total number of orders by shipment status and shipping method name
• Total number of orders by resource errors code and message