Analytics

Nordstrom invested in partnering with JMP software to understand product and brand relationships for customers. The idea is to figure out how to promote the right products and brands to the right customers in hopes of maximizing both customer's happiness and the site's revenue. The site use the analytical data from the JMP software to figure out which segments of customers are more like to buy brand Y after buying brand X. Nordstrom believe they can make better promotion and merchandising decisions while making it easier for customers to find exactly what they want.

Nordstrom emphasized the focus on customer service and part of that customer service is personalization, something that their customers wanted for some time now. Possessing this type of knowledge about a customer will play an increasingly large role in building loyalty. A personalized recommendations page is an idea of creating loyalty for visitors. 

Up until May 8th, Nordstrom used Euclid to collect certain information publicly-broadcast by mobile devices used in and around their stores. This information is anonymized and aggregated by Euclid and used to create analytic reports, which are provided to Nordstrom. Neither Nordstrom nor Euclid will use the customer's mobile device information to personally identify, locate, or contact them. 

If a customer have a Wi-Fi equipped phone AND Wi-Fi is turned on, Euclid's sensors collects their phone's unique MAC address (in hashed form only), manufacturer, and data that is used to estimate its location in relation to the Euclid sensor. Nordstrom use this information only to calculate and analyze customer foot traffic based on these signals sent from shoppers' mobile devices.