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.
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.
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.
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.
Up to 40% reduction in size-related returns
Up to 40% reduction in size-related returns
Up to 40% reduction in size-related returns
Up to 40% reduction in size-related returns
Higher add-to-cart rates and average order values
Higher add-to-cart rates and average order values
Higher add-to-cart rates and average order values
Reduced cart abandonment at the point of size selection
Reduced cart abandonment at the point of size selection
Reduced cart abandonment at the point of size selection
Repeat purchase rates that improve as shopper confidence builds
Repeat purchase rates that improve as shopper confidence builds
Repeat purchase rates that improve as shopper confidence builds
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.