How H&M's Virtual Try-On Works (and How Your Store Can Do the Same)
E Commerce8 min read

How H&M's Virtual Try-On Works (and How Your Store Can Do the Same)

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Marcus Bell

Marcus Bell

DTC & Shopify E-commerce Growth Strategist

June 1, 20268 min read1,329

H&M is one of the brands shoppers most often see in virtual try-on, and a lot of that comes from a smart choice: rather than build everything alone, H&M was an early partner in Google Shopping's virtual try-on. Shoppers can drop an H&M garment onto their own photo and see the fit. If you sell in the same broad fashion space, here is how H&M's try-on works and how to offer the same on-body experience on your own store, where it counts most.

My quick take: H&M's try-on reach comes mostly from plugging into Google's AI try-on, which is great for discovery but lives on Google. The same experience on your own product page is a one-line install.

How H&M's virtual try-on works

It is AI-image try-on. H&M was among the launch partners for Google Shopping's virtual try-on, alongside Anthropologie and Everlane. A shopper uploads a photo of themselves, and Google generates an image of that person wearing the H&M garment, drawing on the product images H&M already supplies to its Shopping feed. H&M has also worked on virtual fitting room experiences aimed at the same goal, helping shoppers judge fit to reduce returns.

A shopper trying an H&M garment on their own photo through Google Shopping
A shopper trying an H&M garment on their own photo through Google Shopping

The lesson for a smaller store is that you do not have to invent try-on from scratch, the technology is available. The question is where the experience happens.

The catch: the reach is Google's, not your store's

When H&M's try-on runs through Google Shopping, the shopper is in Google's interface, surrounded by alternatives. That is fine for a giant with brand pull, but for most stores the bigger prize is try-on on your own product page, where the shopper is already on your site and in your funnel. Plugging into Google is a discovery play. Owning the experience on your store is a conversion play. You want both, and the second one is the one you control.

How your store can do the same

A managed widget gives your product page the same AI-image try-on, branded as yours. Photta installs as one tag:

<script src="https://widget.photta.app/v1.js" data-key="pk_live_..."></script>

The shopper uploads a photo and sees themselves in your garment, on your page, not in a marketplace grid. It covers apparel and jewelry, runs in 29 languages, deletes shopper photos after processing, and ships with the upload and result UI built in. No engineering team, no app.

An independent clothing store with its own branded try-on on the product page
An independent clothing store with its own branded try-on on the product page

Why it is worth it

Try-on moves the two numbers a fashion store lives and dies by. Try-on users convert at about 2.3 times the rate of those who do not, and try-on reduces returns by 35 to 45 percent in apparel. Large fashion brands are leaning on it precisely because fit-related returns are so expensive. The same logic, and the same lift, apply to a store a fraction of the size.

A chart showing returns falling and conversion rising with try-on
A chart showing returns falling and conversion rising with try-on

How to set it up

  1. Keep your Google Merchant Center feed clean so you also appear in Google's try-on, free reach.
  2. Add your own on-site try-on: sign up at business.photta.app, start the free trial (14 days, 30 try-ons), create a key, and paste the script into your theme.
  3. Brand it, and you have the discovery reach of Google plus the conversion of try-on on your own page.

Plans start around $49 a month for 500 try-ons after the trial.

FAQ

Sources

  • Google, AI virtual try-on for Google Shopping (H&M among launch partners): blog.google
  • eMarketer, virtual try-on curbs returns and boosts conversions: emarketer.com
  • Focal, virtual try-on in e-commerce research summary: getfocal.co

Tags

virtual try-onh&mecommerceaifashion

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