Overview
Trendaway manages Google Ads for 12 e-commerce brands across 5 verticals: fashion, electronics, home goods, beauty, and food. We developed a centralized optimization system applying cross-account learnings to improve performance portfolio-wide, generating $2M+ in combined revenue at 3.8X average ROAS.
Challenge
Managing 12 separate accounts creates operational complexity. Each has different catalogs, margins, seasonality, and competition. Insights from one account rarely transferred to others. The client needed standardized best practices, rapid strategy testing, and unified reporting.
Strategy
We built a Center of Excellence with three layers: Standardization (feed benchmarks, negative keyword libraries, tracking standards), Cross-Pollination (weekly reviews transferring winning strategies), and Strategic Testing (20% budget for controlled experiments across accounts).
Results
47 documented strategy transfers across accounts in year one. Accounts adopting top-performer strategies improved ROAS by 23% within 60 days. New account onboarding reduced from 4 weeks to 1.5 weeks. $2M+ revenue with 3.8X average ROAS. Lowest-performing account still achieved 2.9X ROAS. Client referred 3 additional brands.
Key Takeaways
- Cross-account learning transfer is the biggest performance lever for multi-brand advertisers
- Standardized tracking and feed benchmarks reduce onboarding time and ensure consistent measurement
- A dedicated testing budget across accounts accelerates innovation adoption