Case Study: Trade Me achieves real-time multi-channel analytics and improved user experience with Splunk

Trade Me Optimizes User Experience With Multi-Channel Analytics

Trade Me, New Zealand’s leading online marketplace, serves over 1.5 billion pages monthly and up to 10,000 images per second. The company needed faster detection of image-caching malfunctions, a way to assess the impact of up to 70 weekly site changes, and real-time insight into massive clickstream and syslog data while correlating unstructured logs with production databases—tasks that were time-consuming and error-prone with homegrown scripts.

By deploying Splunk Enterprise, Splunk DB Connect and related apps, Trade Me consolidated logs and database lookups into real-time dashboards and alerts, enabling rapid drill-downs into image-serving and site issues. The deployment reduced reliance on custom scripts, sped problem resolution, provided a single pane-of-glass for machine and business data, and delivered measurable gains in site optimization, multi-channel customer insight, and user engagement.

Trade Me