E-commerce Fashion Brand
Driving profitable growth through data-driven creative testing and advanced attribution modeling.
The Challenge
An emerging fashion e-commerce brand was struggling to scale profitably ahead of their peak season. They had a strong product-market fit and organic following, but their paid media efforts were inconsistent. Attribution was unclear, creative was underperforming, and they lacked a systematic approach to testing and optimization.
Our Approach
We implemented a comprehensive performance marketing program focused on creative excellence and data infrastructure. Key initiatives included:
- Built a multi-touch attribution model to understand true customer journeys across channels
- Launched a rapid creative testing program with 60+ ad variations per month
- Implemented dynamic product ads with personalized recommendations
- Optimized the checkout flow and reduced cart abandonment by 34%
- Developed audience segments based on purchase behavior and LTV predictions
The Results
The brand achieved 3.8x ROAS during their peak Q1 season, with 156% revenue growth compared to the previous year. More importantly, they established a repeatable framework for creative production and testing that continues to drive results.
New customer acquisition costs decreased by 42% while retention rates improved significantly. The brand now has a sustainable, profitable growth engine powered by data-driven decision-making.