A premium wallpaper e-commerce case study covering the Shopify store, site build and growth of Wallchitra — made-to-measure wall coverings sold by the square foot — holding a 3X return on ad spend since January 2026.
Project Summary
Client Overview:
Wallchitra sells premium made-to-measure wallpaper for Indian homes — Pichwai, tropical, European, 3D and contemporary designs, priced from ₹99 per square foot and merchandised by room: bedroom, living, dining, kids, pooja and bath. Avikosh Digital has handled the store, the site and the growth since January 2026.
The Challenge
Wallpaper is sold by the square foot, not by the unit: The customer has to measure a wall before they can buy anything. That puts an arithmetic problem between interest and checkout, and it is where this category loses most of its traffic.
It is a considered, visual purchase: Nobody covers a wall on impulse. People want to see a design in a room like their own before committing, and a flat product shot does not answer that question.
The catalogue spans unrelated tastes: Traditional Pichwai and kids’ room unicorns do not share a buyer. One audience and one creative line would have misfired across most of the range.
What We Did
Built the store around the room, not the pattern: Visitors land in a context they recognise — bedroom, living room, kids’ room — rather than a grid of designs with no sense of scale.
Made measuring part of the flow: The calculation was moved inside the buying journey instead of sitting in front of it as a barrier.
AI-assisted creative production: A catalogue this varied needs far more creative than a small team can produce by hand. AI-assisted production let us test per collection rather than per campaign.
The Results
A 3X return on ad spend, held since the January 2026 launch, on a made-to-measure product with a calculated basket value.
The engagement is ongoing, covering the store, the site and acquisition together rather than split across separate vendors.
Why it works: a made-to-measure product fails at the measuring step, not the design step. Move the calculation inside the buying flow and the rest of the funnel starts behaving like ordinary e-commerce.
Return On Ad Spend
3
X
Months Scaling
6
Room Collections
8
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