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Orders associated with a specific promotion

How to use the Metrics API to get the total number of orders that triggered a specific promotion

PreviousOrders paid with gift cardsNextNumber of products per order by country

Last updated 11 months ago

The problem

You want to get the total number of orders to which a specific promotion (identified by its type and name) was applied, over a selected date and time range.

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

field

order.id

operator

value_count

Filter

Set the desired date and time range using the date_from and date_to keys and add additional on the field to restrict the related computation to the orders that triggered the desired promotion:

Attribute
Operator

types

"in": [ "percentage_discount_promotions" ]

names

"in": [ "Percentage 50" ]

As shown in the example below, use placed_at as the date_field in the if you want the results to count all the orders that were placed in the selected date and time range ( about this).

Example

The following request uses the Metrics API to get the total number of orders that triggered a specific promotion:

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 '{
    "stats": {
      "field": "order.id",
      "operator": "value_count"
    },
    "filter": {
      "order": {
        "date_from": "2021-01-01T00:00:00Z",
        "date_to": "2021-12-31T23:59:00Z",
        "date_field": "placed_at"
      },
      "line_items": {
        "types": {
          "in": [ "percentage_discount_promotions" ]
        },
        "names": {
          "in": [ "Percentage 50" ]
        }
      }
    }
  }'

On success, the API responds with a 200 OK status code, returning the computed value in the data object and additional information in the meta object:

{
  "data": {
    "value": 234
  },
  "meta": {
    "type": "stats",
    "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 over a specific period of time
Total number of orders paid with a coupon
Total number of orders paid with a specific coupon code
Total number of orders paid with a gift card
Total number of orders that took more than 5 minutes to be placed
Total number of refunded orders
Total number of returned orders
Total number of orders to which a discount was applied
Total orders with a personalization option
Mixed stats about the number of products per order
Total number of orders containing a specific list of products
Total number of orders with amounts greater than $100
Total number of customers over a specific period of time
Total number of customers who bought a specific product or bundle
Mixed stats about returns that contain more than one product
Total number of pending carts with more than one product
Total amount lost due to potentially abandoned carts over a specific period of time
Total number of pending carts with amount greater than 100€
Shipments average time in picking
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