How we achieved a 5.8x ROAS for a New Ethnic Wear Brand

A 5.8x ROAS during a Beta Testing Month isn’t luck—it’s the result of a precise product-market fit strategy. Here is how digiCAED Media launched a fresh Women’s Ethnic Wear brand from scratch, securing ₹3.75 Lakhs in paid revenue during a validation phase designed to build a scalable growth foundation.

 

  • Niche: Women’s Ethnic Wear

  • Stage: Beta Testing Month

  • Key Metric: 5.83x Average ROAS

The Problems: The “New Brand” Barrier

Launching a brand in the crowded ethnic wear space comes with zero room for error. The primary hurdles during the Beta Testing Month were:

  • Cold Pixel Data: Meta had no historical data to find buyers, making initial targeting expensive.

  • Trust Deficit: Customers are naturally hesitant to buy from a brand they’ve never seen before.

  • The Scaling Trap: Most agencies rush into conversion ads without building brand equity, leading to high CPAs and low-quality traffic.

 

The digiCAED Solution: Branding + Conversion

We didn’t just “run ads”; we built a two-pronged system that balanced Branding Campaigns with Conversion Campaigns.

1. The Branding Campaign (Building the “Hype”)

We launched dedicated branding campaigns using high-energy UGC and influencer collaborations.

  • The Goal: To fill the top of the funnel with “High-Intent” visitors and establish visual authority.

  • The Result: By focusing on storytelling and “The Look,” we warmed up the audience and built a massive retargeting pool before asking for the sale.

2. The Conversion Campaign (Capturing the Demand)

Once the brand had visibility, we triggered conversion campaigns focusing on our “Best-Sellers.”

  • The Move: We used 3rd-party checkout tools to ensure a 1-click purchase experience for the mobile audience.

  • The Result: Because the audience was already “warmed up” by our branding ads, our conversion ads hit winning pockets with up to 34.9x ROAS.

3. Strategy Over Luck: Product-Market Fit

We analyzed real-time data to see which designs were getting the most engagement. Instead of pushing slow-movers, we funneled the budget into the designs the market actually wanted.

  • The Result: This verified Product-Market Fit is what allowed us to maintain a 5.83x ROAS throughout the entire Beta Testing Month.

4. Smart Inventory & Remarketing

We synced our ads with the Inventory Plan, ensuring we were never wasting spend on out-of-stock items. Simultaneously, our remarketing campaigns kept the brand top-of-mind for users who didn’t buy on the first click.

 The Results

 

The account went from unprofitable to a blended 4.31x ROAS — with the top performing ad sets hitting as high as 8.90x. ₹21L+ in paid revenue was generated on ₹4.87L in total ad spend. 376 purchases came through — and unlike before, each one was part of a profitable, sustainable system rather than a scattered campaign hoping for the best.

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Observation & Performance Metrics

The Beta Testing Month wasn’t just about revenue; it was about the data points that prove the system works:

  • Verified ROAS: Achieved a 5.83x average, with top-performing ad sets hitting 34x.

  • Revenue Milestone: Secured ₹3.75 Lakhs in paid sales with a total spend of only ₹64,324.

  • Sustainability: A high MER (Marketing Efficiency Ratio) proves the brand is profitable from the very first month of testing.

 

The Bottom Line

 

A successful Beta launch is about building a foundation, not just chasing a spike. By combining Branding and Conversion campaigns, digiCAED Media proved that this brand has the legs for 8-figure scaling.

“Scaling isn’t just about spending more; it’s about knowing which lever to pull—from branding awareness to conversion efficiency.”