Nordstrom is a department store that is known for their
impeccable customer service. In addition
to their dedication to customer service in their physical stores, they have
also extended to various offshoots of the original department store. These include their discount store, Nordstrom
Rack, and related NordstromRack.com and Hautelook, their online flash sale
webpage that requires membership. This
online store offers sales on products for a limited timeframe. Trunk Club is another Nordstrom related
platform, where the items are picked out and shipped to the customer’s door by
a personal stylist via a subscription service.
The Nordstrom Instagram account is set with a separate
platform with Like2Buy, where users can click on an item and instantly be
linked to purchase the item. With this
technology, it makes the purchase process even easier for customers as they admire
an item on Instagram. It also helps the
brand’s SEO with multiple links placed in their social media.
With all these various forms of Nordstrom, the brand is able
to build a more robust profile of their customers. They are able to collect data via the web but
also combine it with point of sale systems, social networks and various other
shopping tools such as the texting. They
did try an experiment of tracking actual customer movements in their store via
the WiFi signals, but that got a generally negative response with people
feeling that this tracking was too intrusive.
One unique use for the data that is collected is a project
where program manager for product reviews and ratings at Nordstrom Inc. is
leading a team that is analyzing the reviews of products, customer questions,
surveys, etc. to look for commonality.
The team is, “trying to tie all of this together to get a better
understanding of what our customers are saying -- what are the themes and trends in
the areas that are working great and in the areas that aren't working great” (Laskowski,
2014) to benefit the customer. This
proactive research is looking to help customers before they even realize that
they need help.
Sales Associates are also benefitting from the data
collection with the ability to build the customer profiles. A Sales Associate can understand a customer
based on their behavior shown by the data from web analytics.
One issue that many e-commerce pages struggle with is truly
tracking the customer as an individual.
For example if a husband and wife share a home computer, they could
potentially be tracked as one consumer when in reality they are two completely
different consumers. Having the ability
to track these two as separate entities would be helpful to an e-commerce page,
specifically one like Nordstrom that sells products for males and females. Additionally, the knowledge of if a purchase
or search is for the customer or for someone else would be helpful. A consumer may be searching for something as
a onetime purchase, but may have other interests. This onetime purchase and search still counts
in a profile for them, but in reality does not reflect their interests. If web analytics systems could have a way of
understanding personal purchases versus purchases for others, this would be
helpful.
References:
5 SEO Tips for 2015. (2015). Retrieved November 21, 2016,
from https://www.bigfin.com/blog/5-seo-tips-2015/
Beath, C. M., Ross, J. W. & Sebastian, I. (2015). Why
Nordstrom's Digital Strategy Works (and Yours Probably Doesn't). Retrieved
November 21, 2016, from https://hbr.org/2015/01/why-nordstroms-digital-strategy-works-and-yours-probably-doesnt
Laskowski, N. (2014). Nordstrom digs into 5-star customer
reviews and finds a shipping problem. Retrieved November 21, 2016, from
http://searchcio.techtarget.com/feature/Nordstrom-digs-into-5-star-customer-reviews-and-finds-a-shipping-problem
Van Rijmenam, M. (2013). How Fashion Retailer Nordstrom
Drives Innovation With Big Data Experiments. Retrieved November 21, 2016, from
http://www.smartdatacollective.com/bigdatastartups/140826/how-fashion-retailer-nordstrom-drives-innovation-big-data-experiments
Wolfson, R. (2013). Retailers Using Big Data: The Secret
Behind Amazon and Nordstrom’s success. Retrieved November 21, 2016, from
http://www.bigdatanews.com/profiles/blogs/retailers-using-big-data-the-secret-behind-amazon-and-nordstrom-s