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2. What could be a/b tested first?
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All the elements of the prior list (What to start with) could also be used in a/b testing. The list here-after provides additional Best Practices that can be quickly tried. |
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Group
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Name
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Short description
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Visitor Journey Personalization (VJP)
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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.
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Customer Journey Personalization (CJP)
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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.
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Visitor Journey Personalization (VJP)
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Previous Search(es)
Related Search(es)
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Promote products matching the prior searches (or related to the prior searches) of the visitor.
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Promote products or content in the target of active promoted campaigns
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Customer Journey Personalization (CJP)
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Purchases > Individual Collaborative Filtering
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Neural Collaborative Filtering for individual recommendations based on the purchases of the customer and leveraging the patterns in the purchase behaviors of other customers
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Visitor Journey Personalization (VJP)
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Basket > Often Bought Together
Basket > Collaborative Filtering Bought Together
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Promote products often bought together with products already in the basket of the visitor
(first practice with statistics, second variant with AI Collaborative Filtering)
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Visitor Journey Personalization (VJP)
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Views > Often Bought Together
Views > Collaborative Filtering Bought Together
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Promote products often bought together with products the visitor has already viewed
(first practice with statistics, second variant with AI Collaborative Filtering)
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Customer Journey Personalization (CJP)
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Last Purchase > Often Bought After
Last Purchase > Collaborative Filtering Bought After
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Promote products often bought after the last purchase of the customer
(first practice with statistics, second variant with AI Collaborative Filtering)
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Customer Journey Personalization (CJP)
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Purchases > Often Bought By the Same Customer
Purchases > Collaborative Filtering Bought By the Same Customer
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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)
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Visitor Journey Personalization (VJP)
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Basket > Often Basketed Together
Basket > Collaborative Filtering Basketed Together
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Promote products often basketed together with products already in the basket of the visitor
(first practice with statistics, second variant with AI Collaborative Filtering)
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Visitor Journey Personalization (VJP)
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Views > Often Viewed in Same Session
Views > Collaborative Filtering Viewed Same Session
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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)
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Customer Journey Personalization (CJP)
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Purchases > Repurchaseable products
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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.
3. What else could be experimented with?
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Group
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Name
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Short description
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Visitor Journey Personalization (VJP)
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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.
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Customer Journey Personalization (CJP)
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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.
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Customer Journey Personalization (CJP)
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Wish-list > Products
Wish-list > Products Attributes
Wish-list > Products Discovery Tags
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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
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Visitor Journey Personalization (VJP)
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Basket > Products Attributes
Basket > Products Discovery Tags
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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
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Visitor Journey Personalization (VJP)
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Views > Smart Bestsellers on Clustering
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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
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Customer Journey Personalization (CJP)
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Purchases > Smart Bestsellers on Clustering
Best-selling trends within the Cluster the customer belongs.
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3. What else could be experimented with?
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Additional ideas for Widget Strategies
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