Fashion Accessories Brand — USA

Facebook & Instagram Purchase Ads · Fashion & Accessories · USD Campaign

PURCHASE CAMPAIGN · 3 AD SETS · 1,375 PURCHASES · 5.56x ROAS · $138,400 REVENUE · 60 DAYS

Fashion Accessories — Jewellery, Bags & Lifestyle Accessories
Meta Ads (Facebook & Instagram — Purchase Conversion Campaign)
Purchase Conversions — Direct product sales via Meta Ads
United States of America (USD Campaign)
Completed — 60 Days
Undisclosed (client confidential)
Undisclosed (client confidential)
1,375 Total Purchases
5.56x avg ROAS across full campaign
Undisclosed
Undisclosed

Campaign Duration

1,375

Total Purchases

All Ad Sets Combined

5.56x

Avg. ROAS

Purchase Conv. Value

$138.4K

Total Revenue

Purchase Conv. Value

$115K

Top Set Revenue

Best Performing Set

1,375

Total Purchases

All Ad Sets Combined

5.56x

Avg. ROAS

Purchase Conv. Value

$138.4K

Total Revenue

Purchase Conv. Value

$115K

Top Set Revenue

Best Performing Set

The Challange

The client — a fashion accessories brand selling jewellery, bags, and lifestyle accessories in the United States — came to Seven Scales as a brand-new business with zero advertising history. No pixel data, no warm audiences, no proven creatives. The task was to build a profitable paid acquisition machine entirely from scratch.

• Launching purchase campaigns with zero pixel data, no warm audiences, and no prior ad history.
• Identifying which creative formats, ad angles, and audience segments would actually generate purchases.
• Achieving a positive ROAS from the very first testing phase in the competitive US fashion accessories market.
• Running and comparing multiple ad set strategies simultaneously to find the winning formula efficiently.
• Scaling spend and sales volume while maintaining a strong return on ad spend over a 60-day window.

Strategy & Approach

A structured two-month testing and scaling framework was built from the ground up. With no existing data to lean on, every decision — from audience selection to creative format to bidding strategy — was hypothesis-driven and systematically validated across 3 ad sets before scaling proven winners.

Phase 1 — Creative & Offer Testing (Days 1–20)

Multiple ad formats were produced including product-focused static imagery, lifestyle photography, short-form video reels with scroll-stopping hooks, and offer-led copy testing free shipping, limited-time promotions, and bundle deals. Each creative approach was isolated in its own ad set for clean performance data.

Phase 2 — Audience Segmentation & Refinement (Days 21–40)

Three audience strategies were built and tested in parallel: cold interest-based audiences, intentionally broad audiences letting Meta’s algorithm do the heavy lifting, and early lookalike audiences seeded from pixel data accumulating in real time.

Phase 3 — Scaling Winners & Protecting ROAS (Days 41–60)

By day 40, the winning combination was clear. Set 1 — delivering 1,155 purchases, a 5.56x ROAS, and $115,007 in revenue — became the primary focus. Budget was consolidated and scaled aggressively. Creative refreshes were introduced to combat ad fatigue. Final result: 1,375 purchases and $138,400+ in revenue from a standing start.

Ad Set Performance

KEY RESULTS & ACHIEVEMENTS

✓ 1,375 total purchases generated across all ad sets within a 60-day campaign.
✓ 5.56x average ROAS — $5.56 returned for every $1 spent on ads.
✓ $138,400.61 in total purchase conversion value for a brand with zero prior ad history.
✓ 6.15x peak ROAS on Set 2 — the highest return recorded across the campaign.
✓ $115,007.42 in revenue from Set 1 alone — one ad set drove 84% of total campaign revenue.
✓ Client launched with zero ad history and exited with a fully proven, scalable paid acquisition channel.

PROOF / EVIDENCE — ADS MANAGER SCREENSHOT

The following screenshot is taken directly from the Meta Ads Manager dashboard, displaying live campaign data including total purchases, purchase ROAS, and purchase conversion value across all three ad sets.