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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

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Last updated 1 month ago

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 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 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 .

In the example below, since the date_field isn't specified in the , 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 ( about this).

Example

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"
      }
    }
  }'

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
🚀
breakdown query
filter
Try it on Postman
date filter
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nested breakdown