RE-BUY - What could be a/b tested first?

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

Group

Name

Short description

1

Customer Journey Personalization (CJP)

Purchases > Individual Collaborative Filtering

Neural Collaborative Filtering for individual recommendations based on the purchases of the customer and leveraging the patterns in the purchase behaviors of other customers

2

Customer Journey Personalization (CJP)

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)

3

Customer Journey Personalization (CJP)

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)

4

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.

5

Customer Journey Personalization (CJP)

Purchases > Discovery Tags

Purchases > Defining Tags

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.

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.

6

Customer Journey Personalization (CJP)

Wish-list > Products

Wish-list > Products Attributes

Wish-list > Products Discovery Tags

Wish-list > Products Defining 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/Defining Tags of products in the wish-list of the visitor

See Discovery and Defining Tags definition above

7

Product & Content Statistics (PCS)

Product Views & Engagement Trends

Most viewed or baskested items within different time frames

8

Product & Content Statistics (PCS)

Widget Display $Value Self-Learning

Promote products based on the self-learning of the Widget click/display score, either directly on the amount of clicks or on the conversion, average bought value or margin generated by the clicks

Display = visual impression detected on the screen of the user before, during and after scrolling on the page