Every try-on tells you something.
Are you listening?
Every try-on tells you something.
Are you listening?
Every try-on tells you something.
Are you listening?
Every try-on tells you something.
Are you listening?
Every time a shopper tries on a garment in your store, Vesto 3D captures what happened. Which product did they try? Whether they bought it. Where they dropped off. Over time, that data tells you more about your catalogue than any sales report.
Every time a shopper tries on a garment in your store, Vesto 3D captures what happened. Which product did they try? Whether they bought it. Where they dropped off. Over time, that data tells you more about your catalogue than any sales report.
Every time a shopper tries on a garment in your store, Vesto 3D captures what happened. Which product did they try? Whether they bought it. Where they dropped off. Over time, that data tells you more about your catalogue than any sales report.
Does virtual try-on
reduce returns?
Does virtual try-on reduce returns?
Does virtual try-on
reduce returns?
Does virtual try-on reduce returns?
Yes, and the data shows it clearly. Shoppers who use virtual try-on before purchasing return items at a significantly lower rate than those who don't. Vesto 3D customers see up to a 40% reduction in size-related returns after implementation.
Yes, and the data shows it clearly. Shoppers who use virtual try-on before purchasing return items at a significantly lower rate than those who don't. Vesto 3D customers see up to a 40% reduction in size-related returns after implementation.
Yes, and the data shows it clearly. Shoppers who use virtual try-on before purchasing return items at a significantly lower rate than those who don't. Vesto 3D customers see up to a 40% reduction in size-related returns after implementation.
The mechanism is simple: when shoppers can see how something fits their body, they order the right size the first time. The returns that remain are almost never about fit.
The mechanism is simple: when shoppers can see how something fits their body, they order the right size the first time. The returns that remain are almost never about fit.
The mechanism is simple: when shoppers can see how something fits their body, they order the right size the first time. The returns that remain are almost never about fit.
The mechanism is simple: when shoppers can see how something fits their body, they order the right size the first time. The returns that remain are almost never about fit.
The metrics that actually matter.
The metrics that actually matter.
The metrics that actually matter.
Try-on volume
How many sessions per day, per product, and per category do you need to know where shoppers are engaging?
How many sessions per day, per product, and per category do you need to know where shoppers are engaging?
Conversion by try-on status
Side-by-side conversion rates for shoppers who tried on vs. those who didn't. The gap tells the story.
Side-by-side conversion rates for shoppers who tried on vs. those who didn't. The gap tells the story.
SKU performance
Which products get tried the most, and which convert after try-on? Your best and worst performers, clearly ranked.
Which products get tried the most, and which convert after try-on? Your best and worst performers, clearly ranked.
Try-on volume
How many sessions per day, per product, and per category do you need to know where shoppers are engaging?
Conversion by try-on status
Side-by-side conversion rates for shoppers who tried on vs. those who didn't. The gap tells the story.
SKU performance
Which products get tried the most, and which convert after try-on? Your best and worst performers, clearly ranked.
Drop-off points
This shows where shoppers leave the try-on experience without buying, so you can fix what's in the way.
This shows where shoppers leave the try-on experience without buying, so you can fix what's in the way.
Drop-off points
This shows where shoppers leave the try-on experience without buying, so you can fix what's in the way.
Return rate correlation
How try-on usage maps to return rates by product. The clearest signal you'll get is on fit accuracy.
How try-on usage maps to return rates by product. The clearest signal you'll get is on fit accuracy.
Return rate correlation
How try-on usage maps to return rates by product. The clearest signal you'll get is on fit accuracy.
Try-on data is
a catalogue feedback loop.
Try-on data is
a catalogue feedback loop.
Try-on data is
a catalogue feedback loop.
Try-on data is
a catalogue feedback loop.
Try-on data is
a catalogue feedback loop.
If a product has high try-on volume but low conversion, the fit may be off or the 3D model may not be representing the garment accurately. That's a signal to review sizing or the spec data behind the model.
If a product has high try-on volume but low conversion, the fit may be off or the 3D model may not be representing the garment accurately. That's a signal to review sizing or the spec data behind the model.
If a product has high try-on volume but low conversion, the fit may be off or the 3D model may not be representing the garment accurately. That's a signal to review sizing or the spec data behind the model.
If a product has low try-on volume, it may not be prominent enough in your catalogue, or the try-on entry point needs repositioning on the product page.
If a product has low try-on volume, it may not be prominent enough in your catalogue, or the try-on entry point needs repositioning on the product page.
If a product has low try-on volume, it may not be prominent enough in your catalogue, or the try-on entry point needs repositioning on the product page.
If a product has low try-on volume, it may not be prominent enough in your catalogue, or the try-on entry point needs repositioning on the product page.
If a product has high try-on volume and high conversion, it's a candidate for more prominent placement, more colourways, and more inventory.
If a product has high try-on volume and high conversion, it's a candidate for more prominent placement, more colourways, and more inventory.
If a product has high try-on volume and high conversion, it's a candidate for more prominent placement, more colourways, and more inventory.
The data creates a loop between shopper behaviour and catalogue decisions that didn't exist before.
The data creates a loop between shopper behaviour and catalogue decisions that didn't exist before.
The data creates a loop between shopper behaviour and catalogue decisions that didn't exist before.
The data creates a loop between shopper behaviour and catalogue decisions that didn't exist before.
See what your try-on data looks like.
See what your try-on data looks like.
See what your try-on data looks like.
See what your try-on data looks like.
Book a demo and we'll walk you through the analytics dashboard with real data from stores like yours.
Book a demo and we'll walk you through the analytics dashboard with real data from stores like yours.
Book a demo and we'll walk you through the analytics dashboard with real data from stores like yours.
The metrics that
actually matter.
Try-on volume
How many sessions per day, per product, and per category do you need to know where shoppers are engaging?
Conversion by try-on status
Side-by-side conversion rates for shoppers who tried on vs. those who didn't. The gap tells the story.
SKU performance
Which products get tried the most, and which convert after try-on? Your best and worst performers, clearly ranked.
Drop-off points
This shows where shoppers leave the try-on experience without buying, so you can fix what's in the way.
Return rate correlation
How try-on usage maps to return rates by product. The clearest signal you'll get is on fit accuracy.