Number of products per order by country
How to use the Metrics API to get mixed stats about the number of SKUs included in the orders of your organization, grouped by different countries
You want to get some common statistics about the number of SKUs present in your organization's orders over a selected date and time range, grouped by the different countries you're selling in. Specifically:
Stat | Description |
|---|---|
count | The total number of orders considered for the computation. |
max | The minimum number of SKUs included in a single order. |
min | The maximum number of SKUs included in a single order. |
avg | The average number of SKUs included in a single order. |
sum | The sum of all the SKUs included in the orders considered for the computation. |
You need to perform a stats query setting the required query keys as follows and adding the optional ones based on your needs:
Key | Value |
|---|---|
by | order.country_code |
field | order.skus_count |
operator | stats |
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).Request
Response
The following request uses the Metrics API to get mixed stats about the number of SKUs included in your orders, groped by country:
curl -g -X POST \
'https://{{your_domain}}.commercelayer.io/metrics/orders/stats' \
-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": "order.skus_count",
"operator": "stats",
"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": "US",
"value": {
"count": 1993,
"min": 1.0,
"max": 23,
"avg": 3.51,
"sum": 6998.0
}
},
{
"label": "GB",
"value": {
"count": 8991,
"min": 1.0,
"max": 14,
"avg": 2.1,
"sum": 18881.0
}
},
{
"label": "IT",
"value": {
"count": 25676,
"min": 1.0,
"max": 10.0,
"avg": 1.87,
"sum": 48270.0
}
},
{ ... }
]
},
"meta": {
"type": "stats",
"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 25d ago