INDIVIDUALIZE - What else could be experimented with?
Group | Name | Short description | |
---|---|---|---|
1 | Views > Price Range Views > Higher Price Range | Products which match (or are slightly higher than) the products price range of the previsouly viewed products | |
2 | Views > End-up Buying | Products which are often bought in the same session after viewing the same products the current visitor has already viewed | |
3 | Views > Defining Tags | 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. Each product gets a list of Defining Tags representing which is a subset of the product attributes values that have been identified as important in the selection of a product | |
4 | 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) | |
5 | 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) | |
6 | 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) | |
7 | Promote products or content with attribute values matching previously viewed products | ||
8 | Promote products or content in the target of active promoted campaigns | ||
9 | Viewed Category, Brands & Landing Pages Used Facets Values Used Price Range Used Higher Price Range Previous Search(es) Related Search(es) | Promote products matching the
| |
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 | Promote products or content in the same Price Quadrant as previously viewed products. | ||
12 | Basket > Products Attributes Basket > Products Discovery Tags Basket > Products Defining Tags | Promote products
See Discovery and Defining Tags definition above | |
13 | Best-selling trends within the Cluster the visitor is predicted to belong based on his prior product views. Customer Clustering distributes all customers into clusters based on their purchase history | ||
14 | Best-selling trends within the Cluster the customer belongs. Customer Clustering distributes all customers into clusters based on their purchase history |