← PortfolioE-Commerce Brand Achieves 312% ROAS Improvement
The Challenge
A fast-growing e-commerce brand was struggling to scale their advertising across multiple markets. With campaigns running in 15 countries, manual optimization was impossible. ROAS was declining as they expanded, and the marketing team was spending 60+ hours per week on campaign management alone. They needed a way to maintain performance while scaling globally.
Our Solution
We implemented a comprehensive AI-powered campaign management system that automated bidding, budget allocation, and creative optimization across all 15 markets. The system learns from performance data in real-time, automatically shifting budget to top-performing campaigns and pausing underperformers. Custom machine learning models were trained on their specific customer behavior patterns.
Our Approach
Audited existing campaigns across all 15 markets to identify optimization opportunities and establish baseline performance metrics.
Implemented AI-powered bidding algorithms that adjust bids in real-time based on conversion probability, time of day, device, and user signals.
Built automated budget allocation system that redistributes spend to highest-performing campaigns hourly.
Created dynamic creative optimization that tests hundreds of ad variations and automatically scales winners.
Deployed cross-market learning so insights from one region improve performance in others.
Technologies Used
“The transformation has been remarkable. We went from drowning in spreadsheets to having AI manage our campaigns better than we ever could manually. Our ROAS tripled and our team can finally focus on strategy instead of optimization.”
Results Achieved
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