Demonstrated a consistent uplift in sales across a large store network
Delivered incremental revenue gains at the store level
Achieved a meaningful cumulative impact on overall revenue
Seamless deployment via AWS Marketplace
A leading national retailer sought to increase unit sales of office SKUs by launching a targeted incentive program for store employees, rewarding them based on sales performance. To ensure the program’s effectiveness before scaling, they needed a robust and scalable experimentation framework. Traditional methods lacked the precision and agility required to evaluate such initiatives across multiple locations.
Key challenges
Quantifying the real-world impact of incentive programs
Absence of scalable tools for in-market experimentation
Need for rapid, data-driven decision-making
The solution
Trial Run by Fractal
Fractal deployed Trial Run, a cloud-based test management and measurement platform, a broad store footprint over several months. The platform enabled in-market experimentation and evaluation of the incentive program over a 6-month period.
Intelligent user interaction
Trial Run leveraged OpenAI to recommend features during experiment design and used AWS-native services for data processing and analytics.
1
AWS Integration
AWS Lambda for serverless orchestration
Amazon RDS for database management
AWS Marketplace for seamless procurement
Enabled frictionless onboarding via AWS Marketplace.
2
Experiment Design
Monitored performance across a large store footprint
Evaluated impact over a full-year baseline
Enabled real-time tracking of sales metrics
Business Outcomes
Consistent sales uplift observed across participating stores
Noticeable revenue improvements at the store level
Cumulative gains validated the effectiveness of the incentive program
Technical Gains
Scalable experimentation framework
Real-time analytics and insights
Streamlined deployment via AWS
User Experience
Easy-to-use interface for business users
Rapid feedback loop for program optimization
Minimal IT overhead
Next Steps
Expand Trial Run to additional product categories
Integrate with broader promotional strategies
Enable predictive modeling for future campaigns
Future Capabilities
Automated experiment recommendations
Deeper integration with POS systems
Continuous learning from historical data
