One of the largest specialty outdoor retailers in America, Sun & Ski Sports is inspiring you to let adventure into your life confidently through exceptional customer service, first-hand expertise, and competitively priced brands ready to perform for any journey – to be where you live and play. Sun & Ski Sports delivers a small-store feel with big-store competitive pricing and specializes in equipment, apparel, footwear, and accessories to enhance their customer’s active lifestyles and year-round activities including ski, snowboard, bike, run, swim, and more.
The Digital Merchandising team at Sun & Ski Sports set out to optimize their product recommendations in two phases: First, they compared SiteSpect product recommendations against their existing product recommendations provider. Next, they compared two variations of SiteSpect product recommendations.
Optimizing Recommendation Algorithms and Placements
Once Sun & Ski Sports signed on with SiteSpect, they gained the ability to A/B test and optimize their existing product recommendations platform. Because SiteSpect can integrate with virtually any other tool, they were able to track their existing product recommendations provider metrics side-by-side with their SiteSpect product recommendations metrics. The Sun & Ski Sports team first wanted to identify the effectiveness of their product recommendation placements and corresponding algorithms. They compared the following placements and algorithms:
- Home Page, Personalized
- Category Pages, Personalized
- Add to Cart Modal, Complementary
- Cart Page, Complementary
- Product Detail Page, People Also Like
This A/B test ran during Black Friday and Cyber Week, which also saw an increase from normal traffic levels. Results showed that the Product Detail Page saw 59% of all recommendation clicks, followed by Category pages and the Add to Cart Modal.
Read the full Sun & Ski Sports case study to learn how this A/B test helped the brand optimize their product recommendations and refine their strategy.
To learn more about SiteSpect, visit our website.
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