What are Item-To-Item Product Recommendations in Betaout?

 

Product Recommendations are dynamic, real-time item recommendations that are generated by the users of an e-commerce store by recommendation engines.These recommendations for ecommerce companies allow customers to find the products based on their affinity and are relevant to them quickly and easily, thereby positively impacting conversion rates.

Recommendation engines essentially capture user behaviour on an e-commerce store, to come up with item suggestions based on their browse and purchase behaviour coupled with a vast number of individual attributes and product properties. Here’s an example from e-commerce giant Amazon.

Betaout’s Product Recommendation Engine is an intelligent, robust and highly-scalable solution. There are essentially two types of product recommendations that an e-commerce store can make use of with Betaout – Item-To-Item & User-To-Item recommendations.

In this article, we’ll discuss What Item-To-Item Product Recommendations in Betaout are?

Product Recommendation Engine

  • What is Item-To-Item Product Recommendation?

Item-To-Item Recommendations are recommendations made on the properties and attributes associated (only) with other items.

Item-To-Item Product Recommendation is one of the two Product Recommendation Types available in Betaout. Betaout’s machine learning and artificial intelligence capability follow this logic: “understanding the behaviour of the entity on which recommendations are to be made”.

In Item-To-Item Product Recommendation, the entity is the item based on which recommendations are to be made. That is, other items are recommended based on the user’s behaviour and other attributes associated with the item against which recommendation is being made.

For example, you just bought a mobile phone and then the system recommends you to buy a cover for the mobile phone based on the logic “people who bought this (mobile phone) also bought this (cover).”

Product Recommendation Engine

Following are the types of Item-To-Item Recommendations that can be made in Betaout’s Product Recommendations engine.

Product Recommendation EngineProduct Recommendation Engine

People Who Viewed This Also Viewed This refers to the most viewed items being recommended against an item

People Who Bought This Also Bought This refers to the most bought items being recommended against an item

Top Selling Products refers to the best selling items on the store

Top Viewed Products refers to most viewed items on the store

Top Selling Products In This Category refers to the best selling items in a specific category

Top Viewed Products In This Category refers to the most viewed items in a specific category

Top Selling Products In This Brand refers to the best selling items for a specific brand

Top Viewed Products In This Brand refers to the most viewed items for a specific brand

Cross-sell refers to the items which are from the same parent category but different sub category

Up-sell refers to items which are from the same parent category and the same sub-category

Now let us go ahead to how to set-up Product Recommendation Engine in Betaout:

  • How To Set-Up Product Recommendation Engine in Betaout?

This post will walk you through the steps required to set-up and execute Item-To-Item Product Recommendation Engine for your Betaout account:

Step 1: In the Settings page, go to Recommendation Engine.

Product Recommendation Engine

Step 2: Based on the type of Item-To-Item Product Recommendation you wish to use, toggle on and off from the option against each type. Clicking on the blue tick will toggle it inactive, if the tick is being shown – it is active.

Product Recommendation Engine

Step 3: Now you’ll be required to configure the type of item-to-item recommendation you have selected. Follow the steps below:

I. Number Of Products To Be Shown For This Attribute: refers to the number of product recommendations that you wish to be shown for the item you’re recommending against.

II. Price Range Of Products To Be Shown: This determines the price range of the products that you wish to recommend for this attribute, compared to the item you’re recommending against. Choose a percentage range, and the system will automatically fetch products as per your requirements.

III. Boost These Product: Refers to a specific product(s) that you wish to recommend. You can configure this option manually.

IV.  Must Exclude These Product: Refers to the product(s) that you wish to exclude for this attribute. You can configure this option manually.

Product Recommendation Engine

NOTE: This step is common for all types of Item-To-Item Product Recommendation you wish to activate. Kindly repeat this step for every type manually.

Step 4: Click on SAVE to complete the process. Now you can successfully initiate product recommendations for your users.

To know more about Betaout product recommendations, follow this article: How To Use Product Recommendations To Grow Your Ecommerce Business.