Hiranya

A D2C fashion performance marketing case study covering eighteen months of Google Ads and Meta Ads work with Hiranya, a sustainable slow-fashion label selling handwoven clothing at a premium price point.

Project Summary

Client Overview:

Hiranya is a contemporary sustainable womenswear label built on direct relationships with weavers — handwoven cotton, khadi, linen, chanderi silk and jamdani, with fabric that can take up to two months to make. The brand launched in October 2023 selling through Shopify, with pieces priced between ₹7,500 and ₹21,500.

The founders brought Avikosh Digital in to build the brand’s paid acquisition from nothing. We ran Google Ads and Meta Ads for eighteen months, holding an average return on ad spend of three to five times across that period.

The Challenge

• A brand new store with no data: Launching in October 2023 meant no pixel history, no purchase signal and no audience to retarget. Google and Meta both need conversion volume before their algorithms become useful, and a new store has none.
• A price point most of the category does not have: At ₹7,500 to ₹21,500 a piece, Hiranya sits several times above the fast-fashion brands competing for the same impressions. Broad fashion targeting burns budget on people who will never pay it.
• Slow fashion is a considered purchase: Nobody buys a ₹15,000 handwoven dress on first click. The decision window is long, which makes single-session attribution misleading and retargeting essential.
• Craft is hard to sell in a thumbnail: The value is in the weave, the fabric and the two months of work behind it — none of which is obvious in a 4:5 feed image.

What We Did

• Separated admirers from buyers: Sustainable positioning attracts far more approval than purchase. Spend was concentrated on the narrower group willing to pay the price, not the larger one that agrees with the values.
• Margin-led scaling decisions: The measurement foundation was built first, so growth decisions were made against real margin rather than platform-reported conversions.

The Results

• A three to five times average return on ad spend sustained across eighteen months, not a single peak month.
• Paid acquisition built from zero on a store with no pixel history, no audience and no purchase data at launch.
• Premium positioning held — the brand scaled without resorting to discount-led advertising.
• Multiple collections launched to paid audiences each with its own campaign structure and creative direction.

How the Engagement Ended

After eighteen months, Hiranya took performance marketing in-house and built their own team. We handed over the account structure, audiences, creative learnings and tracking setup.

We include this because it is the honest outcome, and because it is a reasonable one: a brand that launches with no data and reaches the point of justifying a full-time internal team has grown. Our job was to get the acquisition engine working and proven — and it was.

Key Takeaways

• At a premium price point, targeting values beats targeting the category: The buyer for a ₹15,000 handwoven dress is defined by what she believes about craft and sustainability, not by the fact that she buys clothes.
• A new store needs measurement before it needs budget: Scaling spend on a store with broken or thin conversion data teaches the algorithm the wrong thing, and that lesson is expensive to unlearn.
• Discounting is the fastest way to break a luxury brand: Return on ad spend achieved through markdowns is borrowed from the brand, not earned.

Outcomes