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Case Study: How We Generated $1.13M in Revenue with Google Ads for an E-commerce Brand

Case Study: How We Generated $1.13M in Revenue with Google Ads for an E-commerce Brand

When a leading e-commerce brand in Saudi Arabia approached us with ambitious revenue goals, we knew Google Ads would be the primary growth engine. Over 12 months, we built and executed a comprehensive strategy that generated $1.13 million in attributed revenue with a 3.9X return on ad spend.

The Challenge

The client was already spending on Google Ads but was stuck at a 2.1X ROAS. Their campaigns were manually managed with limited creative testing, and they had not yet adopted Performance Max. The goal was to scale revenue by 3x while maintaining profitability.

Our Strategy

1. Performance Max Implementation

We launched Performance Max campaigns with comprehensive asset groups, feeding the AI with 50+ images, 15+ videos, and detailed audience signals from their CRM data. This immediately expanded reach across all Google surfaces.

2. Feed Optimization

Product feed optimization was critical. We enhanced titles with high-intent keywords, improved image quality, added custom labels for margin-based bidding, and implemented sale price annotations for promotional periods.

3. Search Campaign Restructure

We consolidated 40+ ad groups into 5 themed campaigns with broad match + smart bidding. This gave Google's AI more data to optimize while maintaining keyword coverage.

The Results

  • $1.13M in attributed revenue (up from $340K previous year)
  • 3.9X ROAS (up from 2.1X)
  • 27,800 conversions across all campaign types
  • 29.5M impressions generating significant brand awareness

Key Takeaways

  • Performance Max requires quality inputs — invest in creative and audience signals
  • Product feed optimization is as important as campaign management
  • Consolidation + smart bidding outperforms granular manual management
  • CRM data integration significantly improves new customer acquisition

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