Executive Case Study: 47x Ad Spend Scale for a Unisex Apparel Brand

This case study chronicles the rapid transformation of a U.S.-based unisex t-shirt brand struggling with low Return on Ad Spend (ROAS) and limited growth. Prior to May 2023, the brand was constrained by spending approximately $2,000 per month and failed to meet its breakeven ROAS target of 1.8x. Over a seven-month period, the marketing strategy was overhauled, resulting in a 47x increase in monthly ad spend and a significant boost in overall profitability.

Initial State: Low Spend, High Risk

  • Niche:Unisex T-Shirt Apparel, USA
  • Breakeven ROAS:8x
  • Initial Challenge:Low ROAS hindered scaling. Google ad spend was negligible (around $700–$800/month), and traffic was heavily reliant on low-volume, branded searches rather than new customer acquisition.
  • Outcome Before Intervention:The brand was unable to sustainably invest in growth.

The Multi-Platform Scaling Strategy

The core of the strategy was a phased, systematic approach across both Meta (Facebook/Instagram) and Google Ads, shifting the focus from simply spending money to optimizing for sustainable profit.

Meta (The Primary Growth Engine)

Meta was scaled from a minimal budget to over $60,000 per month by focusing on four sequential phases:

  1. Creative & Catalog Rigor:Intensive testing of video and static image creatives was the foundation. This was immediately followed by organizing product catalogs based on specific categories to improve ad relevance.
  2. Audience Segmentation:Testing shifted to identifying high-value audiences. Key performers included high-intent Lookalike Audiences (LALs) based on Purchase and Initiate Checkout events, alongside broad, interest-stacked targeting.
  3. Robust Retargeting:A dedicated, dynamically budgeted retargeting campaign was deployed across Facebook, Instagram, and the website to capture users who showed prior engagement, ensuring efficient conversion of warm traffic.
  4. Scaled Campaign Diversification:Scaling was managed through three separate campaigns optimized for different, complementary goals (volume/value, cost per result, and target ROAS), preventing budget concentration risk and allowing for different scaling levers.

Google (The Profit Accelerator)

Google Ads transformed from a minimal-spend channel to a high-ROAS profit center.

  • Action:A multi-layered structure was implemented, combining Tier-3 Standard Shopping Campaigns with Performance Max (PMax)
  • Key Optimization:PMax campaigns were restricted from bidding on branded search traffic. This strategic isolation forced the campaigns to focus entirely on prospecting and new customer acquisition, driving highly profitable non-branded sales.
  • Result:The account scaled to spend over $1,000 per day while consistently maintaining a positive ROAS above 3.0x (300%+).

Consolidated Performance Results (May – December 2023)

The strategic overhaul delivered massive growth, validating the shift from low-volume campaigns to a diversified, profit-focused scaling model.

Performance Metric Meta (Social) Channel Google (Search) Channel Total E-commerce Business
Total Revenue Generated
$424,089.02
$285,702.00
$1,338,378.73
Total Ad Spend
$184,005.21
$70,002.54
$254,007.75
Average ROAS Achieved
2.00x
3.27x
6.83x (Shopify)
Channel Contribution
Meta drove the highest volume of spend and revenue,
while Google delivered the highest per-dollar return.
Scaling Achievement
Monthly ad spend scaled from $2,000 to $96,960 (Jan vs. Dec).
Q4 Growth
Total sales increased by 344% compared to the previous year’s Q4,
driven by a 181% surge in orders.

Consolidated Performance Results (May – December 2023)

The strategic overhaul delivered massive growth, validating the shift from low-volume campaigns to a diversified, profit-focused scaling model.