The Numbers a Fashion Brand Owner Should Watch, and the Ones Wasting Your Time

Most fashion brand owners are not short of data. They have Shopify analytics, a Meta dashboard, a Google Ads account, Klaviyo reporting, and a management accounts pack that arrives six weeks late.

What they are short of is a small number of figures that reliably answer the question they actually care about, which is whether this business is getting healthier or just busier.

Here are seven worth watching weekly, and six worth ignoring.

Contribution margin after returns

The number to run the business on. Revenue on an order minus cost of goods, fulfilment, payment fees, the returns cost that cohort will generate, and the acquisition spend attributable to it.

Everything else on this list is diagnostic. This one is the result. If you track a single figure, track this one, measured per product and per market rather than blended across the business.

We set out how to calculate it properly in why fashion brands lose margin even when sales are growing.

Repeat purchase rate, and specifically second-order rate

With fashion acquisition costs now running roughly $66 to $72 per customer, most brands lose money on a first order by design. That is survivable only if a meaningful share of those customers come back.

Watch the percentage of first-time buyers who place a second order, and how long that takes. The gap between a 20% and a 35% second-order rate is the difference between a business that compounds and one that has to keep buying its revenue.

Set the target by working backwards from your acquisition cost, then check whether you are hitting it. Most brands have never done this calculation explicitly.

Blended acquisition cost

Total marketing spend divided by new customers acquired. All of it, across every channel, including the things that do not report themselves.

This is the honest version of what a customer costs. Platform-reported figures will always be more flattering, because each platform counts orders it believes it influenced and the sum exceeds what the business actually took.

Full-price sell-through

What percentage of a season's units sold before they went on markdown, and how quickly.

This is the number that tells you whether the product and the pricing were right. A brand hitting revenue targets through end-of-season discounting has a merchandising problem that revenue growth is disguising.

It is also the figure a wholesale buyer will ask about, and having it to hand is a signal of how the business is run.

Return rate by product

Not the blended rate. The rate on each product, sat next to units sold.

Apparel returns run 20% to 40% and footwear around 31%, but the range average hides the problem. Expect to find two or three products well above it, and check whether any are currently in your prospecting creative.

Fit and sizing drive roughly 53% of apparel returns, which makes a meaningful share of this addressable through product content and size guidance rather than accepted as a cost of the category.

Contribution by product, not units by product

Your best seller by units is often not your best seller by contribution, because it is the product pushed hardest in acquisition and returned most often.

Reranking the range by contribution changes what you feature, what you reorder, what you put behind paid spend and what you quietly discontinue. It is the single most useful hour of analysis most brands never do.

Stock turn and weeks of cover

How fast stock converts to cash, and how long the stock you hold will last at current rate of sale.

Fashion businesses fail on cash far more often than on demand. A brand with strong revenue and twenty weeks of cover on a slow-moving category is closer to trouble than its P&L suggests.

The six that waste your time

Platform-reported return on ad spend. It double counts across platforms, ignores cost of goods and knows nothing about returns. A 4x on a category returning at 35% is not a 4x.

Revenue on its own. It can be grown by discounting, by buying the same customer twice and by pushing product that comes back. It tells you nothing about health.

Sessions and traffic. Increasingly meaningless as a scoreboard now that a large share of searches resolve without a click. We covered what to measure instead in how fashion brands should measure visibility.

Follower count. It has never correlated with revenue in this category and it never will.

Email open rate. Distorted by privacy protections to the point of being unusable. Watch click-through, revenue per recipient and list growth net of unsubscribes instead.

Impressions and reach. Useful to a media planner, meaningless to a business owner. If a number cannot change a decision you would make this week, it is not a business metric.

How to actually run this

Weekly, look at contribution margin, blended acquisition cost and sell-through. Three numbers, fifteen minutes.

Monthly, look at return rate by product, contribution by product and the second-order rate. This is where the decisions about range, spend and merchandising get made.

Quarterly, look at stock turn and channel mix, because those move slowly and reacting to weekly noise in them causes more harm than good.

The mechanics matter less than the discipline. A spreadsheet updated properly beats a dashboard nobody trusts. What makes it hard is that the inputs live in four systems, which is the problem Fabrik Analytics exists to solve, but the analysis is worth doing manually long before anyone automates it.

Fewer numbers, looked at more often

The brands that make good decisions are not the ones with the most reporting. They are usually the ones running on a handful of figures they trust, reviewed on a rhythm, with a shared understanding of what each one means.

If you are about to brief an agency or a partner, agree which of these they will be held to before you sign. Our piece on how to choose a growth partner covers why that conversation, held early, is worth more than any reporting suite.