The product description and sizing guide that lowers your return rate

Every returned product isn't just a lost sale; it's an operational cost that comes with shipping, inspection, repackaging, and sometimes the inability to resell the item. In the apparel and footwear category, most returns don't stem from a product defect but from a mismatched expectation. A well-crafted product description and sizing guide prevents a significant share of these returns right at the moment of order.

Most returns come from expectation, not the product

"Product didn't match the description" and "size didn't fit" are the leading return reasons in the apparel category; combined, these two reasons can account for more than half of all returns. The critical point is this: most of these returns can be prevented not by changing the product itself, but by changing how you describe it.

Since a customer can't hold and try on the product, their purchase decision rests entirely on the information you provide. If that information is incomplete or vague, the customer fills the gap with their own assumption — and that assumption is often wrong. The return is the invoice for that wrong assumption.

The minimum standard every product description needs

A good product description answers the customer's question: "how will this feel once I have it in hand?" To do that, every product should include the following as standard:

• Fabric/material composition and feel (stretchy or stiff, thin or thick),
• The model's height-weight and the size they're wearing ("Model is 1.75m, 62kg, wearing size M"),
• Fit information: slim, regular, or loose,
• Care instructions and expected behavior after washing (shrinkage, fading, etc.),
• Photos taken under different lighting conditions that reflect the product's true color tone.

The two items most often skipped are fit information and model measurements; yet a "slim fit" warning alone can prevent a significant portion of that product's size-related returns right at the order stage, since customers otherwise tend to size up. We covered how to apply this standard across all your product copy in more depth in our workshop on writing persuasive product descriptions.

How should you structure a sizing guide?

A generic "S-M-L-XL" table falls short because it doesn't reflect the fit differences that vary from brand to brand and model to model. An effective sizing guide has two layers: a brand-wide measurement chart and a product-specific fit note.

In the measurement chart, give chest, waist, and hip measurements in centimeters; showing concrete measurements — not just letter sizes — lets customers match the chart to their own body measurements. A sample top/upper-body size chart might look like this:

Alongside it, add a short, visual guide on "how to measure yourself"; many customers don't measure themselves correctly, so even an accurate chart can lead to the wrong result. Suggest this sequence to customers on the product page:

1. Wrap the measuring tape around the fullest part of the chest, horizontally, without pulling it tight.
2. Measure the waist at the navel line, following the natural waistline.
3. Measure the length in a straight line from the shoulder to the desired end point.
4. Compare the resulting measurements against the chart's ranges and choose the closest size; if you're right on the border, go with the size up based on the fit note.

In the product-specific layer, concrete guidance like "this style runs slim, we recommend sizing up" makes a critical difference. Generating this note from that product's past order and return data (which size gets returned most) is a far more reliable source than guesswork.

"Setting the right expectation for the customer is cheaper than improving the return process, because it never lets the return happen in the first place."

Turn customer reviews into sizing data

Customer reviews that answer "did it run big or small" on the product page are the most trustworthy sizing source because they come from real experience. If you ask reviewers to separately state the size they ordered and how it compared to their own measurements ("true to size," "ran large," "ran small"), a data-driven, product-specific sizing guide builds itself over time.

As this data accumulates, you can show an automatic warning on the page for sizes that get returned often: a concrete statement like "X% of customers preferred sizing up for this size" is far more persuasive than a generic chart because it's grounded in the real experience of customers who already bought the same product. We covered the trust-building power of reviews and the right ways to collect them in more depth in our article on user reviews and UGC.

Compensating for the lack of touch with visuals and video

Since customers can't physically handle and try on the product in-store, visual content is the tool that best compensates for that gap. Photos of the product from different angles, in motion (like a short video showing how the fabric drapes), and on models with different body types make it easier for customers to project the product onto their own bodies.

Detail shots matter too: showing stitching quality, zippers, and buttons in close-up gives the customer a preview of the product's "true feel" and reduces surprises after delivery. The fewer the surprises, the lower the return rate. We shared practical ways to shoot near-professional photos at home without renting a studio in our product photography guide.

Tracking these improvements manually for every product is tedious, but the payoff is an operations team dealing with fewer return packages and higher net profit. Şimşek Software's product management module lets you define sizing guides and fit notes at the product level and link return data with reviews and reports — so instead of guessing which product's sizing information needs work, you see it in the data.