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The WELCOME widgets typically are displayed with a label (title) on top and a slider or product recommendations (with left and right arrows) as documented as “product slider” in the https://boxalino.atlassian.net/wiki/spaces/BPKB/pages/57671688/Check-list+empower+your+Website+Layout+with+Narratives#Layout-Blocks-(Templates)-Check-list. There might be several blocks on the page, one below each other, or in different sections of the page.
Key focus:
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Visitor Journey Personalization (VJP)
Personalization is important here because your start pages have a very broad context (on your home page, every product of your e-shop might be considered, while on a search or category page, only the product matching the search or the category are in context). Therefore, instead of “simply” showing your global top-sellers, current promotions, or novelties, you can instead (or in addition) select products matching the prior click and purchase behavior of each visitor individually. But as many visitors might not be logged in, we recommend putting more focus (at least at first) on the Visitor Journey Personalization (VJP).
Related WPOs
The WELCOME WPO belongs to the AWARE customer journey step (first column of the diagram above) and corresponds to LEVEL 1 as it is solely about products and not other types of content: combine it with PROMOTE, READ to also support recommendations of other types of content like banners or blog articles and use it within a smart, personalized and dynamic layout with PRESENT.
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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
Promote products the customer has already bought which can be repurchased
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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
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Best-selling trends within the Cluster the customer belongs.
Customer Clustering distributes all customers into clusters based on their purchase history
Expand the list to see all the additional Best Practices of this WPO.
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Additional ideas for Widget Strategies
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Task | Description | Comment | |
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| 1 | Pre-requisites | Make sure the Pre-requisites steps are completed and already deployed in production | Exports for products and transactions are required, as well as all the standard tracking events. |
| 2 | Pages | Define the pages where the WELCOME widgets will be integrated | Example:
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| 3 | Widgets | Define the WELCOME widgets to be integrated on each page and where they should appear on the page (if you decide that some widgets should not appear for all visitors, define the logic deciding when they will appear or not) | Example names:
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| 4 | Labels | Define the label of each of the WELCOME widgets in each language (the title that appears on top of the product slider) | Examples:
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| 5 | Integrate API + Configuration | Integrate Boxalino Narrative API and configure your widgets in the Boxalino Admin.
| As a result, you should be able to see the widgets appear in your dev/stage front-end showing valid products but without any relevant logic in the selection of the products. |
| 6 | Configure Widget Strategies | Define the strategy of each of the WELCOME widgets (first in prose and then by configuring the widget in the Boxalino Admin) | Boxalino can support you for the configuration of the widget strategies |
| 7 | Test & Deploy | Testing in your dev/stage environment and go-live | In case you have a separate prod and a stage account, make sure to copy your configuration in production before going live |
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