Last viewed products

Encourage your customers to buy the products they have looked at and potentially found interesting. Sometimes what they need to finalize the transaction is a reminder of their previous activity.

Use email campaigns to remind customers about their last-viewed product. If the customer entered the store and viewed many products from your offer but in the end, he did not buy any of them and he left the site, you can wait for the selected period of time (for example, 3 hours) and send an email with pictures of the products they viewed. Sending the campaign an hour after the client closes the session, can encourage them to return.

You can also include information about things like free delivery, information about the product.

Screenshot presenting email with last viewed products

Example of use - Retail industry

Challenge

A client from the retail industry (fashion) sent a campaign with last seen products to customers who were on the site but did not make a transaction. In this email they could find products that they have recently viewed.

Results

Results from this specific campaign:

  • 3,18% CTR,
  • 29,44% CTOR.

How to do it

This type of recommendation is used to display the products which have been viewed recently by a particular user. To prepare recommendations, the system analyzes events from page.view and in response it displays the products which have been viewed by a particular customer.

  1. First of all build an aggregate with last seen products.. Select the Last multi type of aggregate by checking the unique events option. Then, indicate how many events you are interested in, for example 10. Then select the event page visit and the parameter by which you will aggregate - in this case rit will be the product id, which is stored in OG tags.

  2. Learn how to build email campaign with an aggregate.

  3. Finally, create the following automation:

Screenshot presenting automation

Automation blocks in this template:

  • Trigger - Event – visiting the product card
  • Client filter – client has left the website (end of session)
  • Delay – for example 3h
  • Client filter – have not completed transaction within the last 3 hours
  • Action – send an email with the last viewed products

This use case belongs to the following categories:

Challenges:

Features:

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