Recommended for you (EN)
The Recommended for you product set contains recommended products that are often bought in combination.
Composition
Based on the behaviour of a profile, products are recommended that other profiles also bought in combination with the product that they interacted with. To compose the set, product ids that occur in the following event are used:
The following is a simplified example of how the product set for profile A is composed. The process below happens on a large scale with all profiles and products in Squeezely, factors such as time and weighting also play a role in the final result.
Input profile A in Squeezely
Profile A has added product 1 to the shopping cart
Input all profiles in Squeezely
Profile B has done an order with products 1, 2 and 3
Profile C has done an order with products 1 and 3
Profile D has done an order with products 1, 2, 3 and 4
Output
For profile A, the following Recommended for you set is assembled (in order):
Product 3 → because the three profiles that have purchased product 1 have also purchased product 3 in the same order
Product 2 → because of the three profiles who purchased product 1, two of them also purchased product 2 in the same order
Product 4 → because, of the three profiles that purchased product 1, one profile also purchased product 4 on the same order
Options
The following additional options can be applied to the composition:
Max # of products: the maximum number of products in the set (when the maximum number is reached, the product that came first in the set goes first)
Exclude product set: products from another product set can be excluded for this product set
Exclude # last recommended: the number of recently recommended products is excluded for this product set, so that the same products are not shown constantly
Recency weight: the extent to which more value is attached to recently viewed products
Recommend based on products: the recommendations are compiled based on the product id that is sent along in the event instead of the profile's behavior
Fallback set: if insufficient products meet the criteria to reach the maximum number of products, the product set can be supplemented with products from another product set.
The set can be specifically or dynamically composed with: