
Marketplace Fashion Brand Loyalty Report
We analyzed 211,523 marketplace orders from Shopify fashion brands selling on Nordstrom, Macy's, Bloomingdale's and Target Plus — and scanned 790 storefronts for loyalty programs. The cross-channel repeat purchase rate is 12%, no brand dashboard can see it, and only 1 in 4 brands runs a loyalty program.
If you sell on Nordstrom Marketplace, Macy's, Bloomingdale's or Target Plus, you have probably tried to find your repeat purchase rate and come up empty. That is not a search problem. No marketplace, platform vendor or analytics provider had published a repeat purchase rate for fashion brands' third-party marketplace orders — until now.
We analyzed 211,523 marketplace orders from several Shopify fashion brands over 24 months, and separately scanned 790 fashion brand storefronts for loyalty programs. The headline findings:
For context, published DTC benchmarks put the repeat purchase metric at roughly 10–20% for fashion brands' own stores (Bluecore measured apparel at 20.2% across enterprise retailers; smaller DTC datasets land at 10–17%). So marketplace repeat behavior is real — it is just structurally lower, differently distributed, and invisible to standard reporting. The rest of this report explains the numbers and what to do with them.
Why this number didn't exist
Three structural reasons, and they shape how you should read everything below.
The marketplace owns the customer. Nordstrom's marketplace terms state that sellers "will be provided your name and shipping address solely to complete order fulfillment and shipping" and "will not have access to any other information" (Nordstrom Marketplace Terms). When Macy's launched its marketplace it was explicit that "Macy's owns the customer relationship" (Modern Retail). No email address ever reaches the brand.
Standard tools can't compute it. Shopify's reporting links repeat customers by email. Marketplace orders arrive without one, so every marketplace buyer looks like a new customer to a standard Shopify report — the metric isn't low in your dashboard, it's absent.
100 marketplace customers — every one looks like a first-time buyer. No email arrives with a marketplace order, so nothing links a returning customer to their first purchase.
The loyalty accrues to the platform. Marketplace orders earn Nordstrom Notes, Star Rewards or Target Circle benefits, not points in the brand's own program. Nordstrom reported loyalty members driving "nearly 70 percent" of total sales in early 2024 (PYMNTS). The repeat behavior exists — the marketplace captures it.
Because Osello sits in the order flow for Shopify fashion brands selling on these marketplaces, we can see what the brands' own dashboards can't.
Methodology
We analyzed 211,523 shipped, non-canceled marketplace orders from several Shopify fashion and accessories brands selling on Nordstrom Marketplace, Macy's Marketplace, Bloomingdale's and Target Plus over a 24-month window. Brands with fewer than 300 marketplace orders were excluded. Three choices matter for interpreting the results:
We matched repeat buyers on shipping name + phone number. Marketplaces don't provide the customer's email address, so email-based matching — the way Shopify and most analytics tools identify repeat customers — is impossible on these orders. Name + phone matching is conservative: it misses customers whose details change and it can't follow a customer across brands. Treat every figure here as a floor.
We excluded same-day repeat orders. In fashion, a customer who places two orders on the same day is usually buying the same style in a second size or color — a fitting room, not a repeat purchase. General-purpose ecommerce analytics count these as repeats, which quietly inflates apparel repeat rates. Excluding them materially reduces the rate and is the right call for this category; keep it in mind when comparing our numbers to other published benchmarks.
Rates are cohort-based over 12 months. A customer enters the cohort at their first order and counts as a repeat buyer if they placed a second (non-same-day) order within 365 days. This is the standard definition — and, as we discuss below, 12 months is probably too short a lens for much of fashion.
The loyalty-program scan is described in its own section below, with its own methodology notes.
The numbers
| Metric | Marketplace orders |
|---|---|
| Orders analyzed / window | 211,523 / 24 months |
| 12-month repeat purchase rate (any marketplace channel, same brand) | 12% |
| 12-month repeat purchase rate — Nordstrom | 6% |
| 12-month repeat purchase rate — Bloomingdale’s | 5% |
| 12-month repeat purchase rate — Macy’s | 4% |
| 12-month repeat purchase rate — Target Plus | 3% |
| 90-day repeat purchase rate | 6% |
| 12-month repeat rate — replenishables & basics (underwear, socks, activewear essentials) | 11% |
| 12-month repeat rate — fashion & occasion (dresses, outerwear, occasion) | 4% |
| Orders per repeat customer (mean) | 2.2 |
| Median days between 1st and 2nd order | 63 |
| Share of orders from repeat customers | 14% |
| Share of revenue from repeat customers | 16% |
| Return rate — first-time buyers (% of orders) | 51% |
| Return rate — repeat buyers (% of orders) | 16% |
| Repeat orders for the same SKU/style as a prior order | 22% |
| Marketplace customers who also ordered on the brand’s Shopify store | 7% |
| Of that overlap, share whose first order was on the marketplace | 91% |
What the numbers actually say
1. Repeat purchase happens at the brand level, not the channel level
The single most surprising split in the data: the brand-level repeat rate (12%) is roughly double any single marketplace's rate (3–6%). Customers repeat with brands — a shopper who found you on Nordstrom may reorder on Macy's, or wherever your product surfaces next. The practical implication is that measuring repeat rate one channel at a time — the only view most sellers have — understates your real repeat business by half.
2. Category is destiny
Replenishables and basics repeated at 11%; fashion and occasion pieces at 4%. Items like jackets, belts and shoes typically repeat at half the rate of pajamas, underwear and other replenishables — or less. This isn't a performance gap, it's a product-physics gap: nobody buys a winter coat every quarter. Two consequences follow. First, judge each category against its own baseline, not a blended number. Second, sellers of non-replenishable goods should consider diversifying their assortment: a coat-and-shoes brand that adds even a small replenishable line (socks, care products, base layers) gives its marketplace customers something to come back for inside the 12-month window.
Notably, only 22% of repeat marketplace orders were for the same SKU or style as a prior order. When marketplace customers come back, they mostly buy something different — more reason breadth of assortment, not just a hero product, is what converts a first order into a second.
3. First-time buyers return half of what they order
First-time marketplace buyers returned 51% of orders; repeat buyers returned 16%. Department-store customers are trained to bracket — buy several, keep one — and generous marketplace return policies make your product part of an at-home fitting room. The 3x drop for repeat buyers is the encouraging half of this stat: a customer who has cleared the fit hurdle once is dramatically cheaper to serve. It also means the second order, not the first, is where marketplace economics turn positive — and why accurate size guidance, consistent fit across styles, and complete listing data (the unglamorous work) are retention levers, not catalog chores.
4. Marketplaces are an acquisition engine — treat the first order accordingly
7% of marketplace customers also placed an order on the brand's own Shopify store. Small — until you see the direction: 91% of those cross-channel customers placed their first order on the marketplace. The migration overwhelmingly runs marketplace → DTC, not the reverse. Marketplaces are where these brands' new customers come from; the brand's own store is where some of them end up.
That reframes the first marketplace order as an audition. You can't email these customers, but you control everything in the box: packaging worth photographing, a consistent brand name they can search later, fit that survives the first wash. Over-deliver on the first impression — it is the only retention channel the marketplace can't intermediate.
5. A year is too short a lens for fashion
Our rates use the standard 12-month cohort, but for outerwear, footwear and occasion pieces the natural repurchase cycle is often longer than a year. A 12-month window is fair for benchmarking against other published numbers; it is unfair to a jacket. We expect 24–36-month cohorts to show meaningfully higher repeat rates for slow-cycle categories, and we'll publish those cuts as our dataset ages. In the meantime: if your assortment skews non-replenishable, don't panic at a low 12-month figure — but do read insight #2 again.
What fashion brands are actually doing about loyalty
Everything above says fashion brands should be fighting for the second order. So we measured how many actually are. In August 2026 we scanned the storefronts of 790 fashion, footwear, jewelry and accessories brands — an expanded version of the US-focused cohort behind our compliance research — and checked each homepage for the technical fingerprints of a loyalty program: loyalty-platform scripts and network calls, rewards-page links, and on-page rewards widgets. 677 sites loaded with usable data; the rest were offline, parked, or blocked automated access.
Roughly 3 in 4 fashion brands have no visible loyalty program on their own storefront. Even counting the "likely" group — sites with a rewards page but no detectable program running — only about a third (32%) are doing anything at all to convert a first-time buyer into a member.
Among brands that do run a program, the platform market is concentrated. The most common app in our cohort was Smile.io (49 storefronts), followed by Yotpo Loyalty (45), LoyaltyLion (23), Rise.ai (21), Rivo (18) and Okendo (8), with a long tail of single-storefront platforms — platform counts sum above the app-running bucket because some storefronts run more than one loyalty app. Mechanically, points programs dominate, usually paired with a refer-a-friend component; VIP tiers are the next most common layer; store-credit-based programs (Rise.ai's model) form a meaningful cluster; and cashback and paid-membership programs are rare — we found only a handful across the entire cohort.
Two readings of the 25% number, and both are probably true:
It's a gap. The brands in this cohort sell in a category where the first purchase is expensive to win (fashion CAC runs around $66 according to Smile.io), where first-time buyers return half of what they order, and where — per this report — the marketplace channel is quietly siphoning repeat behavior into Nordy Club and Target Circle instead of the brand's own program. Three-quarters of them have built no mechanism to capture the loyalty they're paying to create.
It's also rational hesitation. A points program is a liability and an operational commitment, and for a brand doing most of its volume through wholesale or marketplaces, the storefront program only reaches a slice of its buyers. Which is exactly the argument for pairing a loyalty program with a strategy for the customers it can't see: the marketplace buyers of the previous sections, who overwhelmingly place their first order off-platform and only later show up on the brand's own store — precisely the moment a program can catch them.
Scan methodology and limits: single automated homepage load per site from a North American connection, August 2026; detection = loyalty-platform script/network fingerprints + rewards-page links + on-page widgets. This method sees storefront-visible programs only — it undercounts programs run purely through email, SMS or POS, and a program on a page the homepage doesn't link to. Counts by platform reflect what was detectable client-side. Per-brand results are not published; figures are aggregates only.
How to measure this for your own brand
Standard Shopify reporting can't do it — it identifies repeat customers by email, and marketplace orders don't include one. To reproduce our method: export 12–24 months of marketplace orders, normalize shipping name and phone number, and count customers appearing more than once, excluding same-day duplicates. Run it per marketplace and across all marketplace channels combined — per insight #1, the two answers will differ, and the combined one is your real repeat rate.
Limitations
- Name + phone matching is household/identity-conservative: it misses customers whose contact details change and cannot see cross-brand behavior. Reported figures are floors.
- The order dataset covers several brands — a meaningful but modest sample, skewed toward mid-market fashion brands on curated department-store marketplaces. Results may not generalize to mass marketplaces or other categories.
- The same-day exclusion (correct for fashion) means our figures will read lower than tools that count same-day orders as repeats.
- 12-month cohorts understate slow-cycle categories, as discussed above.
- The loyalty scan detects storefront-visible programs only (see scan methodology above); the true share of brands with any retention program is somewhat higher than 25%.
- This page will be updated as the dataset grows.
Sources
Osello order data and storefront scan as described in Methodology. External references: Nordstrom Marketplace Terms & Conditions; Modern Retail on Macy's Marketplace; PYMNTS on Nordstrom loyalty; Bluecore Customer Growth Benchmarks Report (2024); BS&Co repeat purchase benchmarks; Smile.io fashion loyalty guide. All linked inline.
