Re-engaged recent purchasers using tailored content recommendations in post-purchase emails
In addition to educating consumers and employing digital tactics to drive first-time conversions, Catch Co. was focused on the community-building aspect of its mission. The team was ready to focus on deploying campaigns that would keep users coming back to its site to re-engage them with more products and content. With email being such an essential channel for the company, they wanted to inject content recommendations into post-purchase email campaigns to encourage users to return to the site to read relevant content.
Using Dynamic Yield’s recommendation engine, Catch Co. was able to seamlessly connect the platform with its email service provider to place tailored recommendations into its email campaigns for previous purchasers and Karl’s Club members. Using the Similarity algorithm, the content recommendations were tailored according to the products users recently purchased or have purchased historically. That way, users learned more about specific sub-categories of equipment they have been shopping for and have the product knowledge they need to be confident both in purchasing and using the equipment. This widget placement was highly effective, resulting in a 25% click-through rate for the post-purchase email campaign.
Using Dynamic Yield’s recommendation engine, Catch Co. was able to seamlessly connect the platform with its email service provider to place tailored recommendations into its email campaigns for previous purchasers and Karl’s Club members. Using the Similarity algorithm, the content recommendations were tailored according to the products users recently purchased or have purchased historically. That way, users learned more about specific sub-categories of equipment they have been shopping for and have the product knowledge they need to be confident both in purchasing and using the equipment. This widget placement was highly effective, resulting in a 25% click-through rate for the post-purchase email campaign.

Example of a personalized content recommendation widget inserted into a post-purchase email