Product Recommendations – Cordial Knowledge Base

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Overview

The Cordial Edge Product Recommendations model looks at a customer's website and message interaction to recommend up to twenty-five products that are likely to catch their interest. Available as a contact attribute, you can use this predictive feature for dynamic message content, fostering more personalized and memorable interactions.

Pulling a Product Recommendations Block into a message

Short Product Recs Video

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Use cases

Use Product Recommendations

Product Recommendations is an array of strings: crdl_ai_product_recommendations

Product Recommendation values will appear as product ID numbers. Product Recommendations data is refreshed on a daily basis via Data Job.

Relevant message or site interaction data from the past seven days is required for Product Recommendations to function.

Create messages with Product Recommendations

You can use Product Recommendations in Sculpt and HTML messages to load dynamic content that's personalized for each customer.

  1. You first need to build a data query that will pull in Product Recommendations. There are two ways you can go about setting that up:
{foreach $contact.crdl_ai_product_recommendations as $ai_rec}
{$products.query.productID = $ai_rec}
{$products.limit = 1}
{$products.sort = []}
{$products.cacheMinutes = 20}
{$products.data = $utils-getProducts($products.query, $products.limit, $products.sort, $products.cacheMinutes)}
{/foreach}
{$products.query.productID.in = $contact.crdl_ai_product_recommendations}
  1. You can then use the Product Recommendations query when building a Sculpt or HTML message.

View Product Recommendations for a contact

  1. To view Product Recommendations for an individual contact, navigate to Contacts > Contact Profile and select the contact.

  2. Click the Attributes tab and locate the Cordial AI Product Recommendations attribute.