Overview

Cordial AI's Product Recommendations tool 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.

Product Recommendations in a Sculpt Block

Product Recommendations is currently in beta. Contact your CSM to enable this feature.

Use cases

• Create more personalized customer experiences across channels to improve loyalty and lifetime value.
• Boost click-through rates and conversions by showing customers products they're most likely to engage with.
• Leverage Product Recommendations in retargeting campaigns to re-engage customers with products they're likely interested in.

Use Product Recommendations

Cordial AI Product Recommendations is an array of strings: crdl_ai_product_recommendations

• You can build dynamic Product Recommendations into your Sculpt and HTML messages.
• You can view Product Recommendations in each contact's Contact Profile. 

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:

• Query Product Recommendations data in a loop

{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}

• Query Product Recommendations data as an array

{$products.query.productID.in = $contact.crdl_ai_product_recommendations}

2. 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.