Case Study: Arc'teryx identifies growth markets and boosts store performance with Qlik DataMarket (Qlik)

A Qlik Case Study

Preview of the Arc’teryx Case Study

Arc’teryx finally finds an external data source that gives them store-level insights

Arc'teryx, the Vancouver‑born outdoor apparel and equipment brand, needed reliable external data to guide retail expansion decisions. Manager of Business Intelligence William Jackson found that traditional searches and sources couldn’t provide up‑to‑date, affordable weather, demographic and economic data, and their existing static reports didn’t deliver the store‑level insights required to choose new markets.

By adopting Qlik DataMarket with Qlik Sense, Arc'teryx built a city‑by‑city data model in about two hours using precipitation, GDP and population metrics to rank opportunities. The analysis revealed high‑potential markets—including Washington, D.C., Montreal, London, Boston and New York—helping drive new store openings, improve sell‑through at flagship locations like Vancouver and Tokyo, and support creative local concepts such as a community space in Chamonix.


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Arc’teryx

William Jackson

Manager of Business Intelligence


Qlik

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