How to reduce cart abandonment for an online clothing store

By Raheel Gul7 min read
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Quick answer

Fashion carts get abandoned at some of the highest rates in retail, and size and fit uncertainty is a leading reason, second only to surprise costs at checkout. There is no single fix. It means showing real costs earlier, writing accurate size information, and closing the fit gap before a shopper ever reaches the payment page, which is the specific problem virtual try-on is built to solve.

A shopper adds a jacket to their cart, gets to the shipping page, and leaves. It happens on nearly every fashion site, more than on almost any other category sold online. Most of the standard advice, free shipping, exit popups, abandoned cart emails, treats the symptom after the fact. This one looks at what actually drives fashion shoppers out of the cart in the first place, and what closes that gap before checkout instead of chasing them afterward.

How high is cart abandonment in fashion?

Cart abandonment benchmarking across ecommerce analytics platforms puts fashion and apparel among the highest abandoning categories sold online, with estimates commonly landing in the 70s to 80s percent range depending on the source and how narrowly it defines fashion. Clothing is also frequently reported as the single most abandoned product category by order volume, ahead of electronics and homeware. The exact figure shifts by study and by season, but the direction is consistent everywhere it gets measured: clothing carts get left behind more than almost anything else people buy online.

Why do fashion shoppers abandon their cart?

  • Unexpected costs at checkout: shipping, tax, and fees that only appear on the final page are the reason cited most often for cart abandonment across every product category, not just fashion. When the total looks different from what a shopper expected, many just close the tab.
  • Size and fit uncertainty: a label reading medium means something different from brand to brand. A shopper who is not confident an item will fit often decides it is not worth the risk of ordering and returning it, and leaves before placing the order at all.
  • A slow or clunky mobile checkout: fashion shopping skews heavily toward mobile, and a checkout with too many steps, small tap targets, or slow loading photos loses shoppers a faster flow would have kept.
  • Just browsing, or waiting for a sale: some abandonment is not a problem to solve at all. A shopper comparing options across a few tabs, or waiting on a promo code, was never going to check out on that visit regardless of how smooth the flow was.

Why fit uncertainty hits harder than other reasons

Unexpected checkout fees are a one-time fix: show the real total earlier and the problem is mostly solved. Fit uncertainty is different because it is baked into how clothing gets sold online. A product photo shows a model with a different build than the shopper's own. Size charts vary by brand, and a cut can run differently between two styles from the same label. A shopper cannot resolve any of that without either guessing or doing what many already do, ordering two sizes with a plan to return whichever does not fit, a habit often called bracketing.

Editorial illustration for How to reduce cart abandonment for an online clothing store
An editorial illustration for this article

Bracketing at least gets an item out of the cart and into an order, but it swaps one problem for another, since one of the two sizes is coming straight back. The shopper who abandons the cart instead is arguably being more decisive: rather than order two sizes and deal with a return later, they decide the uncertainty is not worth the ninety seconds it would take to check out.

What actually reduces cart abandonment

  1. Show the real total earlier: shipping, tax, and any fees should appear before the final checkout page, not as a surprise at the end. A shopper who knows the total upfront can decide once, instead of getting far enough in to feel like backing out is wasted effort.
  2. Write size information per product, not per brand: one generic size chart reused across a whole catalog does not account for how differently a fitted shirt and an oversized hoodie from the same brand can run. Fit notes on the specific product close more of the gap than a general chart ever will.
  3. Simplify checkout itself: guest checkout, fewer form fields, and a mobile flow that actually loads fast remove friction that has nothing to do with the product at all.
  4. Let a shopper see the fit before they commit: this is the piece that addresses the uncertainty directly instead of working around it. A shopper who can preview how a garment will actually look on their own body does not have to guess, bracket, or leave the cart to think it over.

Where virtual try-on fits into the fix

Virtual try-on targets the fit half of the problem directly, and it does so before checkout rather than after a return. A shopper uploads or captures a photo, picks an item from the store's real catalog, and sees a preview of themselves wearing it in seconds. That is a different kind of information than a size chart or a model photo. It answers the question a hesitant shopper is actually asking: what will this look like on me.

Corlen adds this directly to a Shopify product page, so the preview happens right where the shopper is already deciding whether to add the item to their cart, not in a separate app or a follow-up email after they have already left. The same fit uncertainty that drives cart abandonment is also the leading cause of fashion returns once an order does go through, covered in how to reduce online fashion returns, so closing the gap earlier in the funnel helps with both.

If cart abandonment is a real cost for your store, the fastest way to judge whether virtual try-on would help is to see the preview quality yourself. Try Corlen on your own photo in a few seconds, no account needed, or use the return on investment calculator to estimate what closing this gap could be worth.

Frequently asked questions

What is a typical cart abandonment rate for a clothing store?

Benchmarking published across ecommerce analytics platforms consistently puts fashion and apparel among the highest abandoning categories in retail, commonly landing in the 70s to 80s percent range, well above the blended ecommerce average. The exact figure moves by source and by how narrowly a study defines fashion, so treat any single number as an estimate rather than a fixed rate.

What is the biggest reason shoppers abandon a cart?

Unexpected costs added at checkout, shipping, tax, and fees not shown earlier in the flow, is the reason cited most often across checkout research, tracked for years by researchers such as the Baymard Institute. For clothing specifically, uncertainty about size and fit runs close behind, since a shopper who is not confident an item will fit often leaves rather than risk a return.

Is fixing cart abandonment the same as fixing returns?

No, though they share a root cause. A return happens after a shopper already paid and the item did not fit. Cart abandonment happens earlier, when that same fit uncertainty makes a shopper leave before they ever commit. Closing the fit gap sooner, before checkout, can lower both numbers at once.

Can virtual try-on actually reduce cart abandonment?

It targets the specific uncertainty behind a large share of fashion cart abandonment: not knowing how an item will look and fit on your own body. Letting a shopper see a realistic preview of themselves in a garment before they reach checkout addresses that doubt at the exact point it usually makes them leave.

What else helps with fashion cart abandonment besides virtual try-on?

Showing shipping costs and fees earlier in the flow, writing accurate size notes per product instead of one generic chart, real customer photos in reviews, and a simple guest checkout each address a different piece of the same problem. None of them alone fixes it completely.

Ready to add real try-on to your store?

Install Corlen on Shopify in minutes, or build it into your own platform with the developer API.

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