Case Study: Ski-N-See boosts engagement and conversion with 4-Tell

Intelligent Personalization, A Win-Win for Customers & the Ski-N-See Ecom Team

Ski-N-See, a sporting goods retailer specializing in ski and snowboard rentals, apparel, and accessories, wanted to deliver a more personalized ecommerce experience across its 15 store locations and online shop. Ecommerce Manager Andrew Emry was spending too much time manually configuring product recommendations, and the curated suggestions were not driving the customer behavior or sales lift he expected.

To solve this, Ski-N-See implemented 4-Tell’s machine-learning product recommendations to automatically deliver real-time, personalized suggestions based on shopper behavior, preferences, and history. With 4-Tell, Ski-N-See exposed more of its catalog in a more relevant way and saw strong results among shoppers who engaged with the recommendations, including 2.5x more pages viewed, 2x higher conversion rate, and 2x more time spent shopping.

Ski-N-See

Andrew Emry

Ecommerce Manager