Load Testing

For example, an e-commerce company preparing for Black Friday might conduct load testing on their customer data enrichment platform two months before the event. During the test, they simulate 50,000 simultaneous users accessing customer profiles, updating contact information, and processing purchase history—five times their normal traffic. The test reveals that their API calls to third-party data sources begin to time out after 30,000 concurrent sessions, creating a potential bottleneck. With this insight, the company's technical team optimizes database queries, implements improved caching strategies, and increases server capacity. When Black Friday arrives, the platform handles the surge in traffic flawlessly, allowing the marketing team to personalize offers in real-time and the sales team to access complete customer data without delays, ultimately resulting in a 27% increase in conversion rates compared to the previous year.