Fashion Brand on Amazon India: ₹12L → ₹24L Revenue in 8 Months
Category: Women’s Ethnic Wear | Marketplace: Amazon India | Duration: 8 months | Result: 100% revenue growth
📊 Results at a Glance
| Metric | Before Ecomm11 | After 8 Months | Change |
|---|---|---|---|
| Monthly Revenue | ₹12,00,000 | ₹24,00,000 | +100% |
| Organic Ranking | Page 4–5 | Page 1–2 | Top 10 Keywords |
| Conversion Rate | 2.1% | 4.8% | +128% |
| ACOS (Ad Spend) | 62% | 28% | −55% |
| Review Count | 48 reviews | 340+ reviews | 7x Growth |
The Situation
A Jaipur-based ethnic wear brand came to Ecomm11 with a genuine quality product — hand-embroidered kurtas and co-ord sets — but was struggling to break through on Amazon India. They were spending ₹80,000/month on Amazon ads with little to show for it, and their best-performing listing was stuck on page 4.
The founder had tried multiple freelancers over 18 months and was considering pulling out of the Amazon channel entirely. Monthly revenue was flat at ₹12 lakh with no clear growth path.
The Challenge
- Listings were written without keyword research — titles were generic and not optimized for search
- No A+ Content — product pages had plain text with no visual storytelling
- Ad campaigns were broad-match heavy with no negative keyword strategy — burning budget on irrelevant traffic
- No review generation strategy — listings had fewer than 50 reviews in a highly competitive category
- Pricing was inconsistent with competitors, reducing Buy Box win rate
What Ecomm11 Did
Month 1–2: Foundation & Listing Overhaul
We started with a complete listing audit using Helium 10 and Amazon’s Brand Analytics. We identified 40+ high-intent keywords with strong search volume and low competition in the ethnic wear category. All 18 product listings were rewritten with optimized titles, bullet points, and backend search terms. High-quality lifestyle imagery guidelines were shared with the client to replace plain product shots.
Month 2–3: A+ Content & Brand Store
We built a full Amazon Brand Store with category pages, brand story modules, and cross-sell sections. A+ Content was created for the top 10 SKUs using comparison charts, fabric detail images, and size guide modules. This directly improved conversion rate from 2.1% to 3.4% within 6 weeks.
Month 3–6: PPC Restructure
The existing ad campaigns were paused and rebuilt from scratch. We created separate campaign structures for Sponsored Products (exact, phrase, broad), Sponsored Brands, and Sponsored Display. A negative keyword list of 200+ irrelevant terms was built from 90 days of search term data. Bids were optimized weekly using rule-based automation. ACOS dropped from 62% to 28% within 10 weeks.
Month 6–8: Scale & Reviews
With the foundation in place, we scaled ad spend on proven ASINs and launched Lightning Deals during key shopping events (Navratri, Diwali, Great Indian Festival). We enrolled all eligible products in Amazon’s “Request a Review” automation program. Reviews grew from 48 to 340+ across the catalogue. By month 8, monthly revenue had doubled to ₹24 lakh.
Client Quote
“Before Ecomm11, I felt like I was throwing money into Amazon ads with no idea where it was going. In 8 months, they doubled our revenue, cut our ad waste in half, and gave us a playbook we could actually understand. I wish I’d found them earlier.”
— Founder, Women’s Ethnic Wear Brand, Jaipur