DressJet
How DressJet Achieved a 3.04x ROAS and ₹6,61,914 in Revenue on Meta in 30 Days
Overview
DressJet.in is a premium Indian men's fashion brand specialising in high-quality, contemporary clothing. The brand needed a scalable digital strategy to increase revenue while maintaining strong return on ad spend.
Over the last 30 days, our growth strategy combined paid advertising optimisation with technical SEO improvements, enabling DressJet to achieve strong performance metrics.
Key Results (Last 30 Days)
ROAS
3.04x
Total Purchase Value
₹6,61,914
Total Purchases
218
Cost per Purchase
₹999.98
The Challenge
DressJet operates in a competitive premium men's fashion market where performance can quickly weaken without strong campaign control and a better website foundation.
- Customer acquisition costs can quickly escalate
- Audience targeting requires careful optimisation
- Website structure and discoverability impact both organic and paid performance
The goal was to
- Improve campaign efficiency
- Increase purchase volume
- Reduce acquisition costs
- Strengthen search and AI discoverability
Strategy
Our approach focused on three core growth levers.
High-Performance Paid Advertising
We structured the Meta advertising campaigns with conversion-focused and retargeting campaigns driving the majority of purchases.
Key campaign segments included
- Top-of-funnel broad audience campaigns
- Purchase-optimised campaigns
- Bottom-of-funnel retargeting campaigns
- Winner ad campaigns targeting select city audiences
This allowed us to capture high-intent audiences at multiple stages of the purchase journey.
Campaign-Level Optimisation
We optimised campaigns separately by funnel stage and bid strategy to improve efficiency and targeting precision.
Technical SEO and AI Discoverability Optimisation
AI Crawler Accessibility
We updated the robots.txt file to allow access to major AI agents and crawlers, ensuring DressJet's website can be indexed by modern AI-powered search systems.
LLMs.txt Implementation
An llms.txt file was added to the website, allowing large language models and AI systems to better understand and reference DressJet's content.
Website Heading Structure Optimisation
We fixed the H1, H2, and heading hierarchy across pages to improve SEO clarity, content structure, search engine indexing, and AI comprehension of page content.
Results
The combined strategy delivered strong results across both advertising performance and revenue growth.
| Metric | Result | Impact |
|---|---|---|
| Total ROAS | 3.04x | Profitable scaling over 30 days |
| Revenue Generated | ₹6,61,914 | Strong revenue growth |
| Total Purchases | 218 | Higher conversion volume |
| Cost per Purchase | ₹999.98 | Controlled acquisition cost |
| Campaign Structure | Full-funnel setup | Better audience capture across stages |
| AI Discoverability | Robots.txt + llms.txt implemented | Improved AI search readiness |
| SEO Structure | Heading hierarchy optimised | Better crawl clarity and content understanding |
Key Takeaways
1. Full-Funnel Campaigns Improve Efficiency
Structuring campaigns across funnel stages allows better budget allocation and audience targeting.
2. Retargeting Drives High ROAS
High-intent retargeting audiences delivered the strongest conversion rates.
3. AI Discoverability Is Becoming Critical
Optimising websites for AI crawlers and LLMs is becoming an important part of modern SEO strategy.
4. Paid + Technical Fixes Work Better Together
Performance marketing becomes more stable when the website is technically cleaner, easier to crawl, and easier to understand.
Conclusion
By combining performance marketing with technical SEO and AI discoverability improvements, DressJet was able to scale revenue efficiently while maintaining strong profitability.
The result was a 3.04x return on ad spend and over ₹6,61,914 in revenue within 30 days, demonstrating the effectiveness of a data-driven growth strategy.
“By combining full-funnel Meta campaigns with technical SEO and AI discoverability improvements, DressJet was able to scale revenue efficiently while maintaining profitable performance.”
Team, DressJet