Stitch Fix just put up a presentation on how the business is doing: https://investors.stitchfix.com/static-files/ec8ba972-9fde-4… This post pulls numbers from there.
Let’s start with subscribers, I mean “Active Customers” (although to me a subscriber is more valuable due to the implicit recurring nature). Here’s the YOY growth:
2016-2017: 31%
2017-2018: 26%
2018-2019: 18%
SFIX’s Active Customer growth is steadily declining.
OK, but what are the actual growth numbers? Glad you asked:
2016-2017: 520K
2017-2018: 568K
2018-2019: 494K
SFIX added fewer new customers last year than in the prior two years.
Not a good sign, especially considering that advertising spend is increasing every year:
2016: $21.9M
2017: $68.4M
2018: $98.2M
2019: $157.8M
So, each new Active Customer in 2019 cost around 3X more than it did in 2016!
Gross Margin has been flat for 4 years now:
2016: 44%
2017: 44%
2018: 44%
2019: 45%
Profits. Maybe profits shouldn’t matter - I’d argue that at this early stage SFIX should be pouring almost all profit back into the business, but since being profitable is often cited as a reason to invest, let’s look at the EBITDA numbers:
2016: $73M
2017: $61M
2018: $54M
2019: $40M
Declining profits. Steadily declining. Maybe that should be viewed as a good thing?
But, Operating Profit has declined from 9% in 2016 to 1% last year. SFIX’s own target is 10%-12%. How are they going to get to that? Should they even be talking about that now?
Don’t get me wrong. This isn’t a failing business. And I really like the Data Science approach they use to make customers happy, to manage inventory levels, and to track how they business is doing. Good stuff. It’s why I was interested in the company and make a tiny investment.
But, I haven’t seen other important numbers; for instance, on client retention. Is the declining rate of customer acquisition (and increasing acquisition costs) reflective of customer burn-out or a difficulty in finding new customers (or some combination of the two)?
Revenue is growing, but not accelerating:
2016-2017: 34%
2017-2018: 26%
2018-2019: 29%
That’s probably simply a function customer growth in numbers being flat/declining while being able to get a few more dollars out of each existing customer each year. It seems clear that their approach means that customers who stick with the platform are more and more satisfied with it. That is, the longer a customer provides data to Stitch Fix, the better Stitch Fix can figure out what will make the customer happy. Data Science works!
But, I see customer acquisition as a hurdle for the company, and I feel this is borne out by both the increasing costs as well as indicated by the constant stream of new programs the company is rolling out. There’s a monetary risk for new customers - if they don’t like any of the 5 items in their “Fix” they’re out $20. I think of all the times I’ve walked into stores looking for something and didn’t buy anything - imagine if that cost me each time - and that’s a whole store with hundreds of items!
And if you read between the lines on what the company says, for instance from https://www.fool.com/earnings/call-transcripts/2019/06/05/st… :
There are predictive algorithms we believe we’re better able to reach clients who are a good fit for our service and who we are able to retain for a longer period…The first is we’re getting better at attracting quality clients. Katrina talked about our ability to better target clients who are right fit for our service. (emphasis added by me)
They’re acknowledging that their service isn’t right for most. So when in their presentation they show a TAM of $93B (online being 21.7% of the Apparel, Footwear, and Accessories Market), that’s disingenuous in my view. They already know and acknowledge their approach has limited appeal. The question is how limited? With competition from brick and mortar retailers like Nordstrom (Trunk Club) as well as online retailers like Amazon (Personal Shopper), Stitch Fix doesn’t appear to have a moat and so will survive on how well it competes with these pretty good companies.
If Stitch Fix really believed in their platform, they would roll out Style Shuffle to anyone, and when enough choices were made to build up a full customer profile, send a first Fix with no potential $20 fee. They don’t do that probably because it would encourage people who aren’t “the right fit” for their service to try it out, and so the success rate might not be so good, even with great Data Science. Or maybe they feel non-customers won’t spend enough time on Style Shuffle (but that would actually be a good thing because those who stick with it are probably more likely to buy!).
Penultimately, the number of new business models that Stitch Fix has rolled out recently is potentially both encouraging and discouraging. Style Pass moves the nothing per Fix fee out to a single yearly fee, so might be perceived by customers as less risky. But, the company isn’t rolling that out to everyone, perhaps due to potential costs of sending out multiple “nothing-liked” Fixes. Then there’s 3 new programs that are basically ways to present a limited set of choices to customers for them to buy directly: Extras, Shop New Colors, and Shop Your Looks. I appreciate the argument that Stitch Fix can leverage their platform to do a better job at presenting choices to customers, but whether that is really true is far from certain, and I’m not convinced that an Amazon or Banana Republic/Gap or Nordstrom couldn’t do the same. And that there’s so many of these new programs might be indicative of the company recognizing that Fixes doesn’t have legs.
To be fair, some of the data presented by SFIX is promising. Customers getting happier the longer they’re in the program (eg, 8% more US Women keeping at least one item in their Fix and looking forward to the next Fix). Retention rates for newly acquired customers being higher than the rates were a couple/few years ago. But, so far anyway, those improved internal metrics haven’t translated to improved business results - at least not the level I’d expect/want.
At the end of the day investing in Stitch Fix requires believing in Katrina Lake, her management team, and their data science approach to making customers happier at lower costs than the competition. Right now the Data Science on their results doesn’t give the same view as the Data Science on their customers’ happiness.