WELCOME - What else could be experimented with?

	Group	Name	Short description
1	Visitor Journey Personalization (VJP)	Views > Low/High End	Promote products or content in the same Price Quadrant as previously viewed products. Each product is connected to a price percentile according to its group (e.g.: category), lower percentiles (e.g.: <20%) are labeled Low-End while top percentiles (e.g.. >80%) are labeled High-End.
2	Customer Journey Personalization (CJP)	Purchases > Low/High End	Promote products or content in the same Price Quadrant as previously bought products. Each product is connected to a price percentile according to its group (e.g.: category), lower percentiles (e.g.: <20%) are labeled Low-End while top percentiles (e.g.. >80%) are labeled High-End.
3	Customer Journey Personalization (CJP)	Wish-list > Products Wish-list > Products Attributes Wish-list > Products Discovery Tags	Promote products currently in the wish-list of the visitor matching the values of attributes of products in the wish-list of the visitor matching the Discovery Tags of products in the wish-list of the visitor
4	Visitor Journey Personalization (VJP)	Basket > Products Attributes Basket > Products Discovery Tags	Promote products matching the values of attributes of products in the basket of the visitor matching the Discovery Tags of products in the basket of the visitor
5	Visitor Journey Personalization (VJP)	Views > Smart Bestsellers on Clustering	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
6	Customer Journey Personalization (CJP)	Purchases > Smart Bestsellers on Clustering	Best-selling trends within the Cluster the customer belongs. Customer Clustering distributes all customers into clusters based on their purchase history