Purchased with Last Purchased
  • 07 Feb 2024
  • 1 Minute to read

    Purchased with Last Purchased


      Article Summary

      Overview

      This algorithm is one of Insider's personalized algorithms. It recommends the products that are purchased along with the user’s last purchased product. Purchase events can be collected from Web, Mobile, and Offline (CRM) UCD events. It is available on Web Smart Recommender, API-based Recommender, and App Recommender.

      Endpoint

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

      Query Parameters

      ParameterSample ValueDescriptionData TypeRequired
      partnerId1000001Partner Identifier which is assigned by Insider.StringYes
      localeus_USLanguage or region of the site.StringYes
      currencyUSDShows products with the specified currency.StringYes
      userIda1b2c3d4User identifier which is assigned by Insider.StringYes
      platformwebRequested platform. Web comes by default.
      StringNo
      detailstrueAdds item details to response.BooleanNo
      hpfalseHyper personalization activation.BooleanNo
      size50Required number of items in response. Maximum allowed size is 100.IntegerNo
      shufflefalseShuffle the products in the response.BooleanNo
      excludeVariantstrueExclude variants by the same group id. If the panel setting is true for this feature, the parameter will be always true. Otherwise depends on the parameter. The default value is false.BooleanNo
      excludePurchaseDay30Exclude items the user purchased in X day.IntegerNo
      excludeViewDay30Exclude items the user viewed in X day.IntegerNo
      excludePurchaseItem100The number of purchased products to exclude.IntegerNo
      excludeViewItem100The number of viewed products to exclude.IntegerNo

      Fallback Algorithms

      The Purchased with Last Purchased Algorithm doesn’t have a fallback algorithm due to its nature. You can always tune it by configuring the minimum number of products to be displayed to show in the recommendation carousel on recommendation settings.


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