Purchased Together

Overview

This algorithm recommends items by finding complementary products purchased by other users with the products purchased by the user. It generates recommendations based on the products purchased in the same sessions and the same locale during the past 30 days. After generating recommendations, the algorithm orders the results according to their purchase frequency. With this algorithm, you can apply the purchase patterns of your users to your strategies. This type of algorithm works best on product and cart pages.

Endpoint

GET https://recommendation.api.useinsider.com/v2/purchased-together

Query Parameters

Sample Example

Sample Request

GET https://recommendation.api.useinsider.com/v2/purchased-together?partnerName={PartnerName}&locale={Locale}&productId={ProductId}&currency={Currency}

Sample Response

{
    "success": true,
    "total": 10,
    "types": {
        "btb": 10
    },
    "data": [
        "QAZ-7890",
        "XYZ-1234",
        "QAZ-7899",
        "XYZ-1233",
        "QAZ-7898",
        "XYZ-1243",
        "QAZ-7891",
        "XYZ-1223",
        "QAZ-7892",
        "XYZ-1342"
    ]
}

Fallback Algorithms

If the products come from Purchased Together are not enough to fill the response data, some fallback algorithms below fill it:

• View Together
• Most Purchased of Category
• Most Purchased of Partner