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Add a Product Recommendation block to your email template

Encourage customers to shop by recommending personalized products that they're likely to purchase.

Updated over a week ago

Before you get started

Some details to note about the Product Recommendation block:

  • The Product Recommendation block is a content block that will feature personalized recommended products based on their previous purchases.

  • Your store must have 40 customers with at least one order each and a minimum of 3 products that are in stock for product recommendations to populate. Only products that are in stock will be displayed in the product recommendation block. When there are not enough orders for the algorithm, customers will be shown your most purchased products.

  • The Product Recommendation block has been added to the default designs of the following Automations: Thank first-time customers, Reward your best customers, and Win-back lapsed customers


How the product recommendation block selects products for recommendation

Product recommendations are based on a clever algorithm that splits product titles into tags. It uses the customerโ€™s purchase history and then recommends products with similar tags and/or attributes that the customer is most likely to purchase next.

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Add a Product Recommendation content block to your email template

๐Ÿ“ Note: An email Campaign is used in this help center guide for illustrative purposes. You can use follow the same steps to add merge tags to an Automation.

1. In your Marsello admin, go to Marketing > Campaigns > Email and click Create Campaign to begin editing your campaign template.

2. Complete the campaign settings form then click on the Edit email button on the right-hand side of the page.

3. In the email content builder on the right-hand side, select the Discount block to drag and drop it into the position you want within your email template.

Screenshot showing the steps to create an email campaign in Marsello: navigating to Marketing > Campaigns > Email, filling out campaign settings, and dragging a Discount block into the email template using the content builder.

4. Click into your freshly placed container block and select Add Content

Screenshot showing a selected container block in the Marsello email builder, with the option to "Add Content" highlighted.

5. Once you are in the email template content builder, on the right-hand side, click the Product recommendations content block and drag and drop it into the desired position within your email template.

Screenshot of the Marsello email template content builder with the Product Recommendations block being dragged from the right-hand panel into the email template layout.

Your product recommendations content placeholder will now show in the email template.

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Edit the Product Recommendations content block settings

1. Click on the Product Recommendations content block in your email template.

Screenshot showing the Product Recommendations content block selected within the Marsello email template editor.

2. In the General column on the right, you can adjust the following settings:

  • Container Padding โ€“ how much space is around the block
    Clicking More Options allows you to adjust padding for each side individually.

  • Button Text โ€“ the text that will be displayed on the button linking to the product in your store

  • Button Color โ€“ the color of the button linking to the product in your store

โš ๏ธ Important: You cannot specify products displayed in the Product Recommendation content block โ€“ Marsello's algorithm will automatically personalize products for individual customers.


How It Works - Your Customers' Experience

When your customer receives an email, the products will be relevant to their shopping history.


For example, a customer is set to receive an Automated Email Flow after their first purchase and they receive this email with your "Top Sellers" since their purchase history is limited:

Example email preview showing a customer receiving an Automated Email Flow after their first purchase, featuring a "Top Sellers" product recommendation section due to limited purchase history.

Here's how it works when sending the same email to multiple customers after they have made multiple purchases:

Example showing how the same automated email displays personalized product recommendations for different customers based on their individual purchase histories after multiple purchases.
Example showing how the same automated email displays personalized product recommendations for different customers based on their individual purchase histories after multiple purchases.

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