Case Study: Snow Peak achieves a KPI-driven performance culture and significant increases in shopper traffic, conversion and sales with RetailNext in-store analytics

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Preview of the Snow Peak Case Study

Using Analytics to Create a Performance Culture and Climb to the Top

Snow Peak, founded in 1958 in Japan, is an innovator in outdoor apparel and gear whose mission is to reconnect people with nature through high-quality, functional products. After rapid growth the company found its retail operations fragmented and lacking a performance culture: store managers had broad autonomy but few consistent metrics (limited to POS, new-customer counts and manual shopper tallies), making accountability and continuous improvement difficult.

Snow Peak partnered with RetailNext to implement in-store analytics and a KPI framework (capture rate, conversion, staff-scheduling efficiency), rolled out companywide training and regular performance reviews, and used tools like kinetic heat maps to optimize layouts and merchandising. In the first 18 months this drove measurable gains: overall shopper traffic +8.2% (top stores +26%), conversion +13% (top stores +32%), average transaction value improved (company average +2.6, top stores +27%) and a 213% increase in shoppers purchasing both gear and apparel.


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