Turn shoppers into models — engagement that compounds

One photo, your whole catalog

The shopper uploads a photo once. Their face and body stay constant while the garment changes — the same mechanics that make a physical fitting room work, applied to every product you carry.

Instead of evaluating one product against a stranger's photo, the shopper explores your catalog the way they'd explore a rack: on themselves.

What engagement looks like

• Multi-item try-on sessions on the same photo
• Longer product page dwell time while previews generate
• Return visits — the fitting room is a reason to come back
• Try-on events on high-intent shoppers: tried, added to cart, bought

The signal is the other half

Every try-on is a first-party intent signal. SnapIT tracks try-on events in its built-in analytics dashboard, so a shopper who tried the red slip but didn't buy becomes a warm, specific lead you can act on.

It's behavioral data that product browsing alone can't give you — and it maps directly to flows you already run.

Private by design

Engagement built on a shopper's photo only works when the shopper trusts you with it. Photos are used solely to generate try-ons, are never used for AI training, and are automatically deleted. The fitting room is white-label — your logo, your brand.