Meta Ads E-Commerce Fashion 60 Days

From 1.8× to 6.2× ROAS:
Meta Ads Turnaround for Fashion Brand

A fashion e-commerce brand spending $15,000/month on Meta with diminishing returns — ROAS stuck at 1.8× and creative fatigue spreading across every ad set. We rebuilt the strategy from scratch and scaled profitably in 60 days.

×6.2 ROAS
Final ROAS
↓44% CPA
Cost Per Acquisition
×3.4
Frequency Fix
60 Days
Timeline

$15K/Month Spent. 1.8× to Show for It.

A fashion e-commerce brand came to us with a Meta Ads account that had been running for over a year — but was getting worse, not better. At $15,000/month in spend, their ROAS had drifted down to 1.8×, new customer acquisition had nearly stopped, and the same creative assets had been running for four straight months.

The account wasn't failing from lack of budget or brand strength. It was failing from structural debt that had been accumulating since launch: no creative testing framework, no full-funnel architecture, and a massive product catalog sitting completely disconnected from Meta's advertising infrastructure.

Before
1.8×
ROAS
$42
CPA
0.9%
CTR
8.2×
Ad Frequency
After
6.2×
ROAS
$23.50
CPA
2.4%
CTR
2.9×
Ad Frequency

Five Problems Killing Performance

The audit surfaced five compounding structural failures — each one damaging results on its own, and together creating an account trapped in a negative feedback loop:

Creative fatigue — the same static images had been running for 4+ months with frequency above 8, meaning the audience was seeing identical ads dozens of times with no new stimulus to act on.
No creative testing framework — a single ad set, a single creative, no rotation, no systematic winner identification, no way to learn what messaging or format drove conversions.
Budget 80% allocated to retargeting only — prospecting audiences were completely starved of investment, slowly shrinking the pool of potential new customers and making the account increasingly dependent on a dwindling warm audience.
No dynamic catalog ads despite a 400+ SKU product catalog sitting unused in Meta Commerce Manager — the highest-ROAS ad type in fashion e-commerce was entirely absent.
Audience segmentation by broad interest only — no behavioral signals, no lookalike suppression, no purchase-intent layering, meaning ads were serving to the least-qualified possible cold audiences.

Does your Meta account have any of these issues?

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Five Structural Fixes. Run in Parallel.

We rebuilt the entire account structure across five parallel workstreams — deploying all changes in the first two weeks to give Meta's algorithm a full 45-day optimization window before reporting.

1

Creative Audit & UGC Testing Sprint

Audited all running creatives and confirmed 4 months of fatigue. Built a UGC creative brief framework: 4 new variants per ad set per 2-week sprint covering talking-head, product demo, testimonial, and before/after formats. Winning creative was selected by CTR + CVR composite score after 7 days, and underperformers were paused immediately.

UGC briefs4 variants/sprint7-day evaluation
2

Full-Funnel Architecture

Rebuilt campaign structure from scratch: Top funnel (UGC awareness, cold audiences), Mid funnel (video viewers, page visitors, add-to-cart), Bottom funnel (cart abandoners, checkout starters, dynamic catalog). Each level received separate budget, distinct creative, and messaging calibrated to that stage of intent.

TOP / MID / BOT funnelsLevel-specific budgetsSeparate creative per stage
3

Audience Segmentation & Lookalike Strategy

Removed broad interest targeting entirely. Built structured lookalikes: 1% (purchasers), 3% (purchasers), 7% (value-based). Suppressed existing customers from prospecting campaigns. Added in-market behavioral signals to cold audience segments to improve targeting precision from the first impression.

Lookalike 1% / 3% / 7%Customer suppressionBehavioral layering
4

Dynamic Catalog Ads

Connected the 400-SKU product catalog to Meta Commerce Manager. Built dynamic retargeting campaigns showing exact products viewed, added to cart, or purchased (cross-sell). Created separate catalog campaigns by product category so budget allocation could be optimized per segment.

400 SKU catalogView / cart / purchase retargetingCategory splits
5

Budget Reallocation

Shifted from the 80% retargeting concentration to a 50% prospecting / 30% mid-funnel / 20% retargeting split. Increased total spend by 10% while decreasing wasted impressions by 60% — meaning effective reach on relevant audiences grew substantially despite the modest budget change.

50/30/20 splitProspecting-firstWeekly budget reviews

Every Metric Moved in the Right Direction

At the 60-day mark, the full impact of the structural rebuild was visible across all eight tracked metrics — with the most dramatic improvement in the metrics that had been most broken before:

Metric Before After Change
ROAS1.8×6.2×↑ +244%
CPA$42.00$23.50↓ 44%
RevenueBaseline+180%↑ +180%
CTR0.9%2.4%↑ +167%
Ad Frequency8.22.9↓ 65%
Spend$15K/mo$15K/mostable
CVR (landing)1.2%3.1%↑ +158%
New Customer Rate18%54%↑ +200%
Key Efficiency Insight

Revenue grew +180% on the same $15K/month budget — no spend increase required. The unlock was creative quality and funnel architecture, not more money.

Three Campaigns. Three Different ROAS Profiles.

Separating the funnel into dedicated campaigns revealed dramatically different performance by stage — and identified the single highest-impact ad type that had been completely absent before the rebuild:

UGC Prospecting
×3.8 ROAS
Top of funnel
54% of new customers
↑ New customer engine
Dynamic Catalog Retargeting
×11.4 ROAS
Highest-performing ad type
Cart + view retargeting
↑ Was 100% absent before
Mid-Funnel Video Retargeting
×7.2 ROAS
Bridge layer
Video viewers + page visitors
↑ New stage, previously missing

Is Your Meta Account in the Same Position?

This case study is directly relevant if your account shows any of the following signs:

Your Meta ROAS has been declining for 3+ months despite the same or higher spend
Your ad creative has been running unchanged for more than 6–8 weeks
You're retargeting the same audience over and over (frequency above 5)
You have a product catalog but no dynamic product ads connected to Meta
Your entire Meta budget goes to retargeting with almost nothing toward prospecting new audiences
You've never run a structured A/B test comparing creative formats (UGC vs static vs video)
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