Case Study: How Brand X Increased ROAS by 65%

Client Background

Brand X (name changed for confidentiality) is one of Poland's fastest-growing e-commerce retailers specializing in home goods and furniture. With annual revenue exceeding €25 million and ambitious growth targets, they faced significant challenges in scaling their digital advertising efforts while maintaining efficiency.

Prior to partnering with TrustPay, Brand X managed their advertising campaigns manually across multiple platforms including Google Ads, Facebook, Instagram, and several local Polish advertising networks. Their marketing team of five was struggling to keep up with the increasing complexity of campaign management as they expanded their product catalog and target markets.

Key Challenges

Brand X approached TrustPay with several specific challenges they needed to overcome:

• Scaling Limitations: Their manual campaign management processes couldn't efficiently scale to support their growing product catalog of over 5,000 items.
• Inconsistent Performance: Campaign performance varied widely across products and channels, with some achieving excellent ROAS while others underperformed significantly.
• Budget Allocation Issues: Static budget allocation processes meant that funds weren't being redirected quickly enough from underperforming campaigns to successful ones.
• Limited Testing Capacity: The team could only test a small number of creative variations and targeting approaches due to time constraints.
• Fragmented Analytics: Data was siloed across multiple platforms, making it difficult to get a holistic view of advertising performance.

These challenges were preventing Brand X from achieving their ambitious growth targets while maintaining their target profitability metrics.

Implementation Strategy

After thorough analysis of Brand X's advertising operation, TrustPay developed a phased implementation plan to address these challenges:

Phase 1: Centralization and Data Integration (Weeks 1-3)

The first step was to integrate all advertising platforms into TrustPay's centralized management system. This involved:

• Setting up API connections with Google Ads, Facebook Ads Manager, and other platforms
• Importing historical campaign data for analysis
• Connecting Brand X's e-commerce platform to enable product feed synchronization
• Integrating conversion and revenue data for accurate ROAS tracking
• Creating a unified reporting dashboard for cross-channel performance analysis

This foundation phase eliminated data silos and provided the team with a comprehensive view of their advertising performance across all channels.

Phase 2: Automated Campaign Structure and Optimization (Weeks 4-6)

Once the data foundation was established, TrustPay implemented automated campaign structures and optimization rules:

• Created dynamic product groupings based on category, price point, margin, and historical performance
• Developed automated bidding strategies tailored to each product group's performance goals
• Implemented real-time budget allocation algorithms that shifted spending to high-performing campaigns
• Set up automated A/B testing for ad creative, headlines, and landing pages
• Established performance thresholds for automated scaling or pausing of campaigns

This phase dramatically reduced the manual work required from Brand X's team while ensuring that campaigns were continuously optimized based on performance data.

Phase 3: Advanced AI-Driven Enhancements (Weeks 7-12)

The final implementation phase focused on leveraging TrustPay's advanced AI capabilities to further improve performance:

• Deployed predictive analytics to forecast product demand trends and adjust advertising emphasis
• Implemented custom audience modeling to identify high-potential customer segments
• Created cross-channel attribution models to understand the full customer journey
• Developed automated creative generation for personalized ad variations
• Established competitive monitoring to adjust strategies based on market conditions

These advanced capabilities enabled Brand X to achieve sophisticated advertising strategies that would have been impossible to execute manually.

Results and Impact

The implementation of TrustPay's automation platform transformed Brand X's advertising operations, delivering significant measurable results over a six-month period:

Performance Improvements

• 65% increase in overall ROAS across all advertising channels
• 43% improvement in conversion rates through better targeting and personalization
• 3.2x scaling of advertising spend while maintaining improved efficiency metrics
• 28% reduction in cost per acquisition across primary product categories
• 52% increase in total revenue attributed to digital advertising campaigns

Operational Efficiency

• 40% reduction in time spent on campaign management and reporting
• 5x increase in the number of active campaigns managed simultaneously
• 90% reduction in manual bid adjustments needed from the team
• 15x more creative variations tested compared to manual processes
• Real-time performance visibility across all channels through unified dashboard

Key Learnings and Best Practices

Through this successful implementation, several valuable insights emerged that can benefit other Polish e-commerce brands:

1. Phased Implementation Yields Better Results

The carefully structured phased approach allowed Brand X to build a solid foundation before implementing more advanced features. This methodology ensured that team members could adapt to new workflows gradually and that each enhancement built upon previous successes.

2. Data Integration is Fundamental

The integration of product, customer, and revenue data proved essential for accurate decision-making. Brands considering similar automation should prioritize comprehensive data integration to enable truly effective optimization.

3. Human Expertise + Automation = Optimal Results

While automation handled routine optimizations and scaling, Brand X's marketing team remained crucial for strategic direction, creative insights, and business context. The most successful approach combined human expertise with technological capabilities.

4. Continuous Testing is Key

The automated testing capabilities allowed Brand X to discover unexpected insights about their customers' preferences. Some creative approaches and product emphases that contradicted traditional assumptions proved highly effective when validated through data.

5. Cross-Channel Coordination Amplifies Impact

Managing all advertising channels through a unified platform revealed synergies between different campaign types. Coordinated messaging and timing across platforms created a more cohesive customer experience and improved overall performance.

Conclusion

Brand X's transformation demonstrates how TrustPay's advanced automation platform can help Polish e-commerce companies overcome advertising challenges and achieve remarkable growth. By centralizing data, automating routine tasks, and implementing AI-driven optimization, Brand X was able to dramatically improve both performance metrics and operational efficiency.

Their success story highlights the potential for Polish brands to compete more effectively in the digital marketplace through strategic adoption of advertising automation technologies.

Ready to achieve similar results for your brand? Contact our team to discuss how TrustPay can transform your advertising operations.