What our own watch brand taught us
We ran the business we used to own through the same analysis we now sell - and it told us everything we missed.
Who they were
Before Freedom To Exist analysed other people's stores, it was one. From 2015 to February 2021 we sold minimalist watches. Then we closed. Recently we did something uncomfortable: we ran our own closed brand through the exact audit we now carry out for clients - every order, customer and product, start to finish. This is what the data was saying all along, while we weren't listening.
Freedom To Exist sold clean, minimalist watches - a considered, design-led product at a gift-friendly price. It ran for roughly six years, took just under 1,900 orders, and turned over about £125,000 across its life before we wound the watch business down.
On the surface it looked like a normal small brand doing normal small-brand things: seasonal peaks, a loyal core, a growing order count. Underneath, the data tells a two-halves story - an early brand selling watches at over £100, and a later one selling the same watches at a third of that. The findings below trace exactly how the gap opened, and every one of them is a lesson we now bring to client work.
What we did
The same fixed-scope sales and customer insight audit we run for live brands - built entirely on the store's own Shopify exports of orders, customers and products, covering the full trading history from launch to closure.
The only difference is that here, uniquely, we already know how the story ended. So each finding pairs what the data showed with "the read" - what it actually meant for the business, written with the honesty of hindsight. It is one thing to warn a client that a pattern is dangerous; it is another to show them the same pattern in a business that didn't survive it.
Every figure was analysed on aggregated data only, with no individual customer details reproduced.
What we found
This is our own brand, so - unlike our client work - the numbers are shared openly. That candour is the point: these are the specific patterns we missed, laid bare.
The average watch sold for £119 in 2017 - and £33 by 2020
This is the single most important pattern in the whole dataset, and it is the mirror image of a healthy one. Average selling price per watch fell 72% across the brand's life. 2020 set the all-time order-count record while producing 40% less revenue than 2019. Customers were actually buying slightly more items per order over time - but each item was worth dramatically less. The growth in orders wasn't growth at all; it was the same demand being bought at ever-lower prices. Once a brand teaches its audience that a lower price is always coming, full price quietly stops existing.
More than half of all orders eventually carried a discount code
A third of lifetime orders used a code - but the average hides the slide: 36% in 2017 climbing to 54% by 2019. A welcome offer is defensible. What we actually built was a rolling calendar of monthly codes that put the store on near-permanent promotion, finished off by clearance-era codes taking 90% off. The question the data can't answer alone - and the one we now press every client to ask - is how many of those discounted orders would have happened anyway at full price.
The accessory that never attached
Interchangeable straps were meant to be the brand's built-in repeat purchase - an affordable way to make one watch feel new. The idea was right; the execution never landed. Just 3.3% of watch orders included a strap. Yet the telling number is the strap-only orders: existing owners coming back, unprompted, just for a strap. The demand was real and provable - it simply was never merchandised. An "add a second strap" prompt and a strap-led email to owners a couple of months after purchase were near-pure-margin revenue sitting untouched the entire time.
Nine in ten customers only ever bought once
Just 11.4% of customers came back. For a durable single product this is partly structural - a watch lasts years - but it compounded the pricing problem brutally: when almost every sale is to a new customer, every sale carries full acquisition cost, and cutting prices cuts straight into the only margin there is. Repeat revenue is what makes discounting survivable, and this business had almost none. The lever was never "more loyalty emails" - it was a product architecture with a genuine second purchase. The straps were meant to be that product.
Refunds took back £1 of every £12
This is the report's most expensive quiet number: 8.3% of gross revenue went back out as refunds. Healthy non-apparel ecommerce runs at low single digits. Watches invite returns - wrist fit, strap feel, "not what the photo suggested," gifts that missed - but at this level, refunds erased most of a typical year's growth. A refund log is a free research programme nobody reads: reason codes, better sizing guidance and more honest photography were cheap fixes we never prioritised.
The email list was the asset that outlived the brand
Here's the inverse of the usual problem. Nearly 90% of a 4,000-strong contact file accepted email marketing - including thousands of subscribers who never bought a thing. Most brands we analyse are starved of consent; we had near-total reach and a subscriber list larger than our customer base. The constraint was never the audience. It was what we sent them: with straps unmerchandised and no owner journey in place, the list mostly carried the discount calendar. A consented list is only worth what travels through it.
The lesson we carried forward
Read together, these findings describe a brand that was busy without being healthy - rising order counts masking falling prices, a discount habit hardening into dependence, a repeat-purchase product left on the shelf, and a warm audience fed mostly promotions. None of it was invisible. It was all sitting in data we owned the whole time. We just never sat down and read it.
That is the entire reason Freedom To Exist now exists in the form it does. The analysis that would have changed our decisions was cheap, fast, and available from day one - we simply ran the business by instinct instead. Every audit we deliver now is the version of that we wish we'd had: the patterns named early, while they can still be changed, rather than explained in hindsight once they can't.
Who this applies to
Our watches were a specific product, but these underlying strategic challenges are universal. If any of these feel close to home, your own data is likely telling a story you haven't sat down to read:
- Your order count is rising, but you haven't checked whether your average price is quietly falling underneath it.
- You've added "just one more" discount code enough times that promotion has become the default rather than the exception.
- You have a product designed to be bought twice - a refill, an accessory, a companion item - that almost nobody adds at checkout.
- Most of your customers buy once, and you've assumed that's simply the nature of your category rather than a fixable gap.
- You have a healthy email list, but you're not sure it carries anything beyond your latest offer.
We didn't read these signals in time. The whole point of the audit is that you can.
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