Frequently Bought Together
Recommends items that are typically complementary to item id {itemId}, or have been purchased at the same time, on the same order, by a large number of other customers.
Navigate to 'Playground' in the left hand menu and then select the recommender logic you wish to use - in this case 'Frequently Bought Together'.
Once selected, the recommender configuration options will appear:
If you wish to use frequently bought together for a specific user, insert a user id. We know the previous purchases for the userid and can recommend products most frequently purchased with those. The inclusion of a userid also eliminates previous purchased products from the recommendations.
You can input an item ID to get items that are frequently bought with that item.
item id input option
If you click 'SELECT ITEM FROM CATALOG' you will be taken to a search area where you can search for products. There is also the option to select a product from a list of popular products. Clicking on a product will select that ID for your Frequently Bought Together recommender:
Frequently Bought Together recommender configuration in the Playgound
Now you can select the attributes you want to include in the API response - typically these are everything you want to include in your design in your email or on site. Standard fields include:
- Product image
- product title
- product url
- price
- sale price
- quantity / availability
- gender / category information
You can apply filters to the recommender to filter out any unwanted products. For example, you may want to only show products from 'Womenswear' or filter out sale items. For more information about filtering, click here.
Once you have chosen a product ID for the recommender, click on the blue play button to run the recommender: The top 10 products most frequently purchased with the chosen product ID will display:
Frequently bought together playground output
Once you are happy with your configuration, click on the 'CREATE RECOMMENDER' green button. You will see a popup asking for a description for your recommender. Insert a description and click save - this will create your recommender.
The recommender will available in the 'Recommenders' area of the platform where you can export it into the Kickdynamic platform as a content source.
Last modified 1yr ago