Orders by repeat customer
How to use the Metrics API to get the total number of orders of your organization, grouped by customers that bought from you more than once
You want to get the total number of orders over a selected date and time range, grouped by the customers that placed more than one order.
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.id |
operator | value_count |
condition | "gte": 2 |
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 total number of orders, grouped by the repeat customers:
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.id",
"operator": "value_count",
"condition": {
"gte": 2
},
"sort": "desc",
"limit": 100
},
"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": 2708
},
{
"label": "[email protected]",
"value": 1843
},
{
"label": "[email protected]",
"value": 1671
},
{
"label": "[email protected]",
"value": 1639
},
{ ... }
]
},
"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 26d ago