Top 10 spenders by currency
How to use the Metrics API to get the Top 10 spenders among your customers and know how their total purchase amount is divided by currency.
You want to get Top 10 spenders among your customers, considering the sum of all the orders they placed over a selected date and time range, grouped by the different currencies you use to sell in your organization.
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 | customer.email |
field | order.total_amount_with_taxes |
operator | sum |
limit | 10 |
Key | Value |
|---|---|
by | order.currency_code |
field | order.total_amount_with_taxes |
operator | sum |
Make sure to set the desired date and time range using the
date_from and date_to keys in the filter. As shown in the example below, use
placed_at as the date_field in the date filter if you want the results to count all the orders that were placed in the selected date and time range (read more about this).Request
Response
The following request uses the Metrics API to get the sum of the total amount of the orders of your customers, divided by 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": "customer.email",
"field": "order.total_amount_with_taxes",
"operator": "sum",
"sort": "desc",
"limit": 10,
"breakdown": {
"by": "order.currency_code",
"field": "order.total_amount_with_taxes",
"operator": "sum"
}
},
"filter": {
"order": {
"date_from": "2021-01-01T00:00:00Z",
"date_to": "2021-12-31T23:59:00Z",
"date_field": "placed_at"
}
}
}'
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": {
"customer.email": [
{
"label": "[email protected]",
"value": 13708694.8,
"order.currency_code": [
{
"label": "JPY",
"value": 13701132.0
},
{
"label": "EUR",
"value": 5802.8
},
{
"label": "GBP",
"value": 1620.0
},
{
"label": "USD",
"value": 140.0
}
]
},
{
"label": "[email protected]",
"value": 11602524.0,
"order.currency_code": [
{
"label": "USD",
"value": 11600000.0
},
{
"label": "HUF",
"value": 2524.0
}
]
},
{ ... }
]
},
"meta": {
"type": "breakdown",
"trace_id": "fe571ea2-8a4f-4a5e-bd26-ac54651bb2e4",
"mode": "test",
"organization_id": "xYZkjABcde",
"market_ids": [ "yzXKjYzaCx", "..." ]
}
}
Just changing a couple of query keys and/or filter parameters you can address lots of very similar use cases, such as:
Last modified 8mo ago