Challenge
Jordan Craig, a streetwear brand specializing in men’s jeans, has been actively investing in revenue growth and exploring AI technology for hyper-personalized marketing. Especially, with the goal of driving more e-commerce sales based on strong customer retention, Jordan has been using and testing various tools to enhance the hyper-personalization of its email marketing efforts.
Solution
Jordan Craig leveraged Retentics, a tool to enable hyper-personalization, in addition to the existing ‘Likely to Buy (Replenishment)' Flow built with Klaviyo.
Result
“ We’ve been investing in exploring AI tech for revenue growth, especially with customer retention. With Retentics, It was incredibly easy to set up triggers into flows, and results showed in just a few days. ”
— Javier Gutierrez ⎜Retention Marketing Specialist
About Jordan Craig
Jordan Craig is a streetwear brand specializing in men’s denim, established in 1989 on Jamaica Ave, in New York City.
Jordan offers stylish, well-crafted apparel with a variety of fits that allow for free movement while maintaining a sleek silhouette.
The Challenge
As a streetwear brand, Jordan Craig has cultivated a strong fan base for its trendsetting pieces, leading to substantial level of email marketing driven by high customer loyalty. They are continuously investing in revenue growth and has been particularly interested in AI technology for hyper-personalized marketing strategies. With their ongoing interest in leveraging AI technology they have built flows with tools including Klaviyo’s AI.
Solution of Retentics
1. Replenishment Flow (Named ‘Likely to Buy’)
-Expected Date of Next Order: Klaviyo’s AI vs. Retentics’ AI
A simple but effective A/B test was executed for X months, with the only variable being ‘the expected date of next order’, each respectively provided by Klaviyo and Retentics AI.
Both Klaviyo and Retentics identify recipients, with priority given to Klaviyo.
The results were notable: With a more accurate predictive AI, Jordan managed to generate five times the revenue by covering up gaps that the already existing flow was leaving.
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