Recommendations with products in a specific size

Many customers, especially in the footwear and clothing industries, struggle to find the sizes they need. Customers often give up the purchase process when they see that something is not available in their size. As a result, they leave the website and often do not convert for a long time, assuming that shop will not be able to help them.

The solution is to use a “let me know about availability” option. This button can be added to a product page and delivers some important benefits:

  • It gives you the possibility to see how big the interest in product in specific size is
  • It separates the group of customers who are interested in making a purchase, who can then be notified when a product is available in their size

Example of use - Retail industry

Challenge

One of our clients from the Retail industry faced the problem of customers leaving the website because of the lack of the specific products in their size. They decided to implement visual recommendations based on the customer’s size.

This campaign was displayed for customers who met two conditions:

Step 1.

They searched for a specific product, and after choosing their size they saw the notification that it was unavailable

Step 2.

Then, they used “let me know about availability”

Screenshot presenting products in a specific size

Recommendations were displayed only to customers who met those two conditions. They presented products visually similar to the unavailable item, but all of the products were available in customer’s size.

Results

  • 15,2% CTR*
  • 859 transactions*

*data from one month of campaign

Requirements

To use this case, you have to meet a few conditions:

  • implement product feed with size attributes
  • prepare API integration

How to do it

To create such a campaign, use this API endpoint and filter the recommendation by size attribute:

https://ai-api.synerise.com/recommendations/v1/products/similar/{productId}

Read more about this method here.

This use case belongs to the following categories:

Challenges:

Features:

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