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Case studies

Fashion

Theater

Lifted conversion 20% and add-to-cart 25% with real customer content, measured in an A/B test

+20%Conversion

Controlled A/B test

Visit theater.xyz

What changed

  • +20%ConversionShoppable customer content vs. studio-only, A/B tested
  • +25%Add-to-cartFrom UGC widgets, A/B tested
  • 14×Shoppable interactionsVs. control · 30K+ visitors per A/B arm
Widget impressions
22.5M
Visitors reached
8.14M
Click rate
0.88%
Live galleries
2

Internet-first fashion brand Theater swapped studio-only imagery for shoppable customer content on the product page. An A/B test (30K+ visitors per arm) measured a 20% conversion lift and a 25% rise in add-to-cart from UGC widgets. Over its lifetime on Idukki the widgets have driven ₹384K in proven revenue from 86 orders, across 22.5M impressions.

Hashtag-wall hero (#mytheater) + product-detail modal, recorded on Theater’s live store.

About Theater

Theater is an internet-first Indian fashion label selling direct to consumers at theater.xyz, with a community that posts its looks under #mytheater.

The problem

Fashion shoppers buy on fit and feel, the two things a studio shot is worst at showing. Without real people in real clothes near the buy button, the product page leans on imagination and conversion stalls.

What they set up

  • 1Pulled customer photos and video from social, including the #mytheater hashtag, into rights-cleared shoppable galleries.
  • 2Product-tagged the content so the look a shopper liked was one tap from their cart, with a product-detail modal on the wall.
  • 3Ran a 50/50 A/B against the existing page (30K+ visitors per arm) so every lift was measured, not assumed.

The results

Conversion: +20% (Shoppable customer content vs. studio-only, A/B tested). Add-to-cart: +25% (From UGC widgets, A/B tested). Shoppable interactions: 14× (Vs. control · 30K+ visitors per A/B arm). Proven revenue: ₹384K (Orders where the shopper added the product to cart from the widget before buying). Proven orders: 86 (Purchases that followed a widget add-to-cart). Add-to-carts from the widget: 1,080 (Products added to cart straight from customer content). Cart value from the widget: ₹2.13M (Value of those add-to-carts: buying intent, not revenue).

Why it worked

Fit and feel are what a fashion shopper cannot judge from a studio shot, and they are exactly what a customer photo shows. Theater did not take the lift on faith: it split traffic 50/50 and measured it. The lifetime numbers back it up: shoppers have added 1,080 products to cart straight from customer content, and 86 of those journeys ended in a proven order.

How it’s measured

Evidence
Controlled A/B test
Method
A 50/50 A/B test: shoppable customer content against the existing studio-only product page, 30K+ visitors per arm. Proven revenue, orders and reach from Idukki widget analytics.
Window
The A/B test ran over four months; widget figures are lifetime (15 months live)
Source
Theater’s A/B test on its product pages; Idukki production analytics
What it does not prove
The A/B lift and the lifetime widget figures are separate measures. Proven revenue counts only orders that followed a widget add-to-cart.
“By surfacing real people using and styling our products, we significantly improved conversions on PDPs and across the marketing funnel.”
Gurbir · Head of Ecommerce, Theater

Stack

  • Idukki shoppable galleries
  • Hashtag wall
  • Product tagging
  • A/B testing

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