You’ve probably seen the headline a dozen times: “[big box store] closes [large number] of Stores Nationwide.”
The narrative of the retail crisis is common in today’s national media. Retail stores are dead and ecommerce is the way of the future, right?
A growing and elite group of e-commerce companies have begun opening brick and mortar stores to extend their online brands, and this new generation of hybrid e-brick-and-mortar companies have distinct advantages over their legacy competition—including a wealth of location data about their customers.
So far, this formula is proving successful. Many of the retailers setting this trend are on the verge of becoming household names; others have long reigned supreme in the digital space and are using brick and mortar locations to expand their reach even further. And all of these retailers are leveraging brick and mortar stores as a means of gaining even more data about their customers.
Three examples of successful hybrid e-retailers include:
Not only has this purveyor of “everything” set up brick and mortar storefronts based on location data about consumer demographics, but they’ve also recently been awarded a patent on new technology to further corner the market.
When a shopper uses Amazon’s in-store WiFi, this new technology provides the retailer with location information about which department of the store the shopper is browsing, allowing the retailer to market directly to them in real-time. The patented tech also lets Amazon block customers—again, when searching through the location’s WiFi—from comparison shopping while in-store.
With their recently announced acquisition of Whole Foods, Amazon is looking to extend their reach even further.
After building a successful Netflix-of-eyewear online business model, Warby Parker now boasts more than 40 retail locations and a net worth of over $1 billion—and they’ve recently announced plans to open 25 retail locations in 2017.
The switch to brick and mortar is rooted in an early exception to their online model, when co-founder Neil Blumenthal allowed customers to try on eyewear in his apartment. Citing a positive experience for all, Blumenthal began to consider introducing boutique locations to Warby Parker’s strategy—and he now speculates that they may someday have as many as 1,000 storefronts.
This menswear retailer set themselves apart by focusing entirely on customer experience.
Starting by offering custom-fit pants bought online, a pair of dressing rooms in their headquarters spawned the idea of creating branded boutiques called Guideshops. Visiting a guideshop, customers receive a custom fitting by an experienced Bonobos “guide,” the ability to order clothing on-site, and even a free beer.
The rollout of this idea is made more strategic by nearly a decade of customer data and business analytics—and, of course, location intelligence.
Walmart took notice of Bonobos’ growth, announcing their $310 million acquisition last week on the same day as Amazon and Whole Foods.
Retailers are using location intelligence to find competitors’ locations, determine demographic matches between their customers and local populations, uncover traffic patterns, and more—proving that hybrid retail is the next big thing.
And while some e-retailers might balk at adding the overhead associated with physical storefronts to an already robust online presence, consider the fact that more than 90 percent of all retail sales still occur in person.
Brick and mortar stores still hold certain advantages over the online customer experience—and most of the thousands of retail locations that have closed are artifacts of a landscape built before the proliferation of data.
The current trend of building the physical on top of the digital is a carefully executed strategy designed to win, based on location intelligence that helps retailers reduce costs, uncover market opportunities, and take their already successful brands to the next level.
Like many people who love trees and work in the geospatial field, I was fascinated (and disheartened) by a recent article I read in the New York Times called Since When Hav...Use Cases
Most Data Scientists and Analysts understand that visualizing datasets can be a crucial way for users to engage with data. Knowing where median household income is across a...Use Cases
The urban growth of metropolitan areas around the world can be affected by a number of factors. During the industrial revolution the explosion in job availability fueled mu...Use Cases
Please fill out the below form and we'll be in touch real soon.