Learn how Enlightened Equipment increased website conversion rate by 15% and AOV by 8.7% in 2 months using Maestra's AI-powered product recommendations across key website touchpoints.
Enlightened Equipment Achieves 15% Website Conversion Growth with AI-Powered Product Recommendations
Enlightened Equipment is a premier outdoor gear manufacturer specializing in sleeping quilts, apparel, and accessories for backpackers.
Company size.
2 million yearly website visitors.
Challenges
Website conversion and AOV growth targets remained out of reach because Klaviyo lacked built-in website personalization tools, while attempts to integrate third-party recommendation apps failed
Solutions
Maestra’s AI-powered product recommendations took center stage across key website touchpoints: the main page, product pages, cart, 404s, and empty search resultsThe recommendations highlight suitable products based on the customer’s gender and behavior, frequently purchased combinations, and gear update cycles
Results
Based on A/B testing compared to the control group: +15% growth in website conversion rate+8.7% growth in AOVAchieved in 2 months
Integrated with:
BigCommerce
Switched to Maestra from:
Klaviyo
Website Personalization Results
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+15%growth in website conversion rate
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+8.7%growth in AOV
Based on A/B testing compared to the control group
Testimonial
Neither Klaviyo nor BigCommerce offered the personalization tools we needed, so we wasted time and resources trying various third-party solutions. None of them worked for our business.
Maestra was exactly what we were looking for. Their ML algorithms understand our product relationships perfectly—when a customer views men’s sleeping bags, they see relevant quilts and sleeping pads. And if we need to display products according to specific business logic, we can simply set up custom business rules without any coding.
Main Page Product Recommendations
Recommendations algorithm analyzes the visitor and adapts dynamically: new customers see bestsellers, while returning visitors are offered the products they’re most likely to like according to their previous behavior.
Product Page Recommendations
On the product page, customers are shown items from related product categories. The recommendation algorithm applies business rules. For instance, it displays women’s gear to customers shopping only for women’s items and recommends products the customer hasn’t purchased yet.
Cart Recommendations
The cart shows popular accessories that complement the customer’s order. These recommendations were handpicked by Enlightened Equipment’s team based on their product knowledge.
404 & Empty Search Recommendations
When customers encounter a 404 page or an empty search result, Maestra prevents frustration by presenting bestselling products. This keeps shoppers engaged and helps guide them back to their intended path.
How Else We Helped Enlightened Equipment
Be sure to explore more case studies on the Enlightened Equipment experience: