Stitch Fix IPO: It’s About the Data, not the Fashion
Retailers look to algorithms for personal touch
Consider online personal stylist clothing box service, Stitch Fix. The San Francisco-based company, founded only in 2011, filed an S1 filing on Thursday to become a public company after its fiscal 2017 revenue jumped 34% to nearly $1 billion from a year earlier. That’s more than 10 times fiscal 2014 revenue of $73.2 million. While most startups are still deep in red ink, Stitch Fix has posted operating income in each of the past three years. The number of its “active clients” has also jumped nearly 10 times to 2.19 million as of July 29, with a repeat rate of 86%. Four years ago, its active customer count was 261,000.
Online traffic in the general subscription box space declined 3% in September from a year earlier, according to Hitwise data. That includes a 20% drop at meal-kit company Blue Apron. But Stitch Fix’s traffic more than doubled during the same period, outpacing even the 45% increase in the overall apparel subscription space, Hitwise said.
The Hitwise data showed that Stitch Fix was the third most visited online subscription site in September, generating 3.12 million visits in September, up from 1.4 million in sixth place in January.
Its secret sauce? The “over 85 meaningful data points” its customers willingly provide the service, including basic information such as their style, size, fit or price preference, as well as offbeat details such as which parts of their bodies they would like to “flaunt or cover up,” their social media account links, or for guys specifically, their “fit challenges” such as a shirt collar being too loose. Once the data is crunched, a team of some 3,400 mostly part-time stylists add human-touch input to come up with fashion choices aimed at pleasing individual clients and enticing them to buy, and not return, their choices.
“Brick-and-mortar retail has changed and the era of salespersons who know each customer on a personal level has passed,” said Stitch Fix in the S1 filing. “Today’s consumers view the traditional retail experience as impersonal, time-consuming and inconvenient…. Many brick-and-mortar retailers have failed to adapt.….We are reinventing the shopping experience by delivering one-to-one personalization to our clients through the combination of data science and human judgment.”
Indeed, the world of fashion and broadly, retail, is no longer just about art or intuition. While reading the trends right is key, getting data about customers from many different points is increasingly important if retailers hope to attract, please and keep customers.
“Data science” was mentioned some 64 times in Stitch Fix’s S1 filing and “algorithms” came up 76 times. The company also made note of its team of over 75 data scientists, many of them with Ph.D degrees.
Stitch Fix isn’t alone trying to use data to its advantage. Across the industry, both online and brick-and-mortar retailers are trying to crack the code of personalization through data and the help of machine learning, or broadly described as artificial intelligence. The details Stitch Fix features as its competitive advantages are increasingly seen in many other retailers and brands’ pitches as well.
“Consumers want to be understood,” said Michael Haswell, director of shopping business development at Google, at a recent Shoptalk Europe presentation in Copenhagen.
In describing Google’s recent partnership with retail giant Walmart, which allows consumers to use Google’s digital voice assistant to shop Walmart merchandise, Haswell had this to say: “It’s really about data.”
“Google knows where you live,” he said. “Walmart has a treasure trove of purchase history. You get deeply personalized experience… Ultimately what we are trying to get is to reinvigorate the shopping experience.”
The importance of data is driving the industry to consider what previously had been unthinkable: sharing data. Mall developer Westfield, for instance, has been making rounds in various industry events trying to preach the importance of data sharing so that traditional physical retailers can have a leg up against Amazon and other online retailers.
“Data is the currency,” said Gareth Rees-John, global digital director at men’s fashion chain Topman, in an interview. In fact, the kind of qualifications he looks for in some talent has changed also as a result. “I look for people good at math.