...

Introduction

...

What should define what appears on top of each search result page?

The simple answer is “my top sellers which match the search term”, which can be done easily with Boxalino Winning Interactions platform with Best Practice Strategies like STR - Search Attribute and PCS - Smart Bestsellers.

...

However, these approach will not capture the way that your customers click on each specific search results page. Some of your best-sellers might have the term in their description but not be the best match for some terms. The best way to learn it is by analyzing the Click-Through and Buy-Through rates of each product displayed in the search and for each search term.

What is it?

The Search-Based Display $Value Self-Learning optimizes the ranking of the search results based on the self-learning of the following KPIs (computed for each search term):

• Engagement (e.g. Clicks and Click-Through Rate or CTR)

• Click Orders and Click Order Rate (orders following a click on the search results)

• Click Revenue (total revenue generated by the product clicked and bought from the search results)

• Click Margin (same, but with the product gross margin)

• Display $Value (Click Revenue per Display on the screen of the client)

• Display $Margin (same, but with the product gross margin)

• Any other custom attributed KPIs configured in your environment

This best practice is about improving the search ranking from the self-learning of what products are more (or more frequently) clicked, bought or added to the basket than others (as well as the revenue and margin attributed to these clicks).

Best Practice Strategy

Promote products based on the self-learning of each Search Query click/display score, either directly on the number 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

...