Trade Me adopts Splunk for Analytics
Many retailers and business from the UK and elsewhere are using Trade Me as a platform for cross-border trading to New Zealand,. The site also has a rapidly growing user base in its home country with nearly 3.5 million registered members.
Trade Me has more than three million listing each day, with over 100,000 users logged on at any given moment and that all causes a bit of a problem – how to better understand customer behaviour, bidding activity, popularity of listings and so much more
Ultimately improving service to Trade Me members and the bidding experience is key to Trade Me’s ongoing success and to do so they’ve announced they are now using Splunk Enterprise to help in these key areas, as well as analysing click streams and information from relational databases.
The Splunk platform allows Trade Me to monitor the massive amounts of data it generates in real-time, and present it in a personalised dashboard in a meaningful and actionable way. This allows the team to spot and address any error messages received by users immediately to ensure all listing are displayed correctly, all of the time. Splunk has already helped Trade Me solve an issue with image caching and the site now serves 10,000 images every second from a 60-million-image database with minimal problems.
If you’re interested in finding out how Splunk could assist you with business insights further information is available from their website.
As a side note, recently departed eBay Inc.’s Chief Technology Officer Mark Carges was recently appointed to the Splunk Board of Directors effective on the 9th of September.