All the elements of the “What to start with?” list could also be used in a/b testing. The list here-after provides additional Best Practices that can be quickly tried.
Group | Name | Short description | |
|---|---|---|---|
| 1 | Promote products or content with Discovery Tags matching previously viewed products. Each product gets a list of Discovery Tags representing the most common search terms used to find a product. | ||
| 2 | Promote products or content with Discovery Tags matching previously bought products. Each product gets a list of Discovery Tags representing the most common search terms used to find a product. | ||
| 3 | Previous Search(es) Related Search(es) | Promote products matching the prior searches (or related to the prior searches) of the visitor. | |
| 4 | Promote products or content in the target of active promoted campaigns | ||
| 5 | Neural Collaborative Filtering for individual recommendations based on the purchases of the customer and leveraging the patterns in the purchase behaviors of other customers | ||
| 6 | Basket > Often Bought Together Basket > Collaborative Filtering Bought Together | Promote products often bought together with products already in the basket of the visitor (first practice with statistics, second variant with AI Collaborative Filtering) | |
| 7 | Views > Often Bought Together Views > Collaborative Filtering Bought Together | Promote products often bought together with products the visitor has already viewed (first practice with statistics, second variant with AI Collaborative Filtering) | |
| 8 | Last Purchase > Often Bought After Last Purchase > Collaborative Filtering Bought After | Promote products often bought after the last purchase of the customer (first practice with statistics, second variant with AI Collaborative Filtering) | |
| 9 | Purchases > Often Bought By the Same Customer Purchases > Collaborative Filtering Bought By the Same Customer | Promote products often bought by the same customer (based on the purchase history of the customer) (first practice with statistics, second variant with AI Collaborative Filtering) | |
| 10 | Basket > Often Basketed Together Basket > Collaborative Filtering Basketed Together | Promote products often basketed together with products already in the basket of the visitor (first practice with statistics, second variant with AI Collaborative Filtering) | |
| 11 | Views > Often Viewed in Same Session Views > Collaborative Filtering Viewed Same Session | Promote products often viewed in the same session as products the visitor has already viewed (first practice with statistics, second variant with AI Collaborative Filtering) | |
| 12 | Purchases > Rebuyable products | Promote products the customer has already bought which can be repurchased Each product can be automatically labelled as repurchaseable if enough people bought it several time, or if it belongs to a category you know to be repurchasable or doesn’t belong to any category which you know to be not-repurchasable. |
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