Virtual try-on lifts engagement 4× and drives 65% WhatsApp engagement for a leading fashion brand.
W for Woman × Whilter.AI: personalised try-on imagery drove 65% WhatsApp engagement.
86% Image-generation success rate
The impact
4× Engagement uplift
86% Image-generation success rate
65% WhatsApp engagement
The challenge One-to-one try-on imagery, across a full catalogue, at manual-production scale — impossible.
W for Woman is a leading Indian fashion brand. The goal: let shoppers see themselves in the collection before buying — a personalised visual for each customer, delivered where they already shop.
Snype powered a WhatsApp-led virtual try-on, generating personalised imagery at an 86% success rate, lifting engagement 4×, and driving 65% WhatsApp engagement.
Static product shots left W for Woman shoppers guessing how a piece would look on them — and no manual studio could shoot a personal version for every customer across a high-SKU catalogue.
- Static shots leave doubt. A catalogue photo shows the garment, not the shopper in it — so the buyer is left guessing before they commit.
- The catalogue is too wide to shoot by hand. A personal visual per shopper across a high-SKU catalogue is orders of magnitude beyond what a studio can produce.
- A separate destination loses the shopper. Any try-on that lives on its own microsite or app forces a detour most customers never take.
How Whilter approached it
Try-on, conversational by design
Snype ran the try-on as a WhatsApp conversation, generating a personalised on-brand image per shopper on demand — no studio in the loop, no destination to seek out.
a · Strategy
Turn browsing into a request
Reframe try-on as something a shopper asks for in the moment, so each image is pulled by real intent rather than pushed as a static asset.
b · Solution
Conversational virtual try-on
Snype ran the try-on as a back-and-forth thread: the shopper picks a piece, Snype returns them wearing it.
c · Tech
Generation replaces the studio
Each on-brand image is model-generated on demand, so coverage scales with the catalogue instead of with photographer hours.
d · Execution
Delivered inside WhatsApp
The whole loop ran in WhatsApp — no new app, no microsite — landing the experience in a channel shoppers open daily.
Why it worked
The imagery was personal, not generic
Each shopper got their own on-brand visual in the collection, which is why engagement rose 4× — a personalised image is a stronger draw than a static product shot.
It scaled past manual production
Generation ran across a high-SKU catalogue without one-to-one manual work, holding an 86% image-generation success rate at that scale.
It lived where shoppers already were
Delivering the try-on inside WhatsApp — not a separate app — is what drove 65% WhatsApp engagement.
The compounding insight Personalised imagery, generated at scale and delivered inside WhatsApp itself, is what turned a try-on feature into a 4× engagement lift and 65% WhatsApp engagement for W for Woman.
The thinking behind it
Want results like these for your brand?
Snapshot
- Industry
- Fashion / D2C
- Company size
- Enterprise
- Channel
- WhatsApp · Personalised imagery
- Region
- India
- Use case
- Virtual try-on experience
- Engine
- Snype
W for Woman — frequently asked questions
What results did Whilter deliver for W for Woman?
4× engagement uplift · 86% image-gen rate · 65% WhatsApp engagement. Delivered with Snype. See the full breakdown above.
How were these results measured?
Results are measured against the brand’s own performance baseline for the same audience and product line over the engagement window. Open the case for context on channel, region, and use case.
Can Whilter deliver results like this for our brand?
Start with a Growth Assessment. We map your accounts, identify the highest-leverage problem, and show you what the connected engine would ship next. Explore more enterprise growth stories.