Increase E-Commerce Revenue With Continuous Application Performance Management
It takes only a few seconds for an unsatisfied online customer to switch to a competitor's website. Studies have shown that poor performance of e-commerce websites can directly result in loss of revenue, poor customer satisfaction and damaged reputation.
To attract and retain customers, online retailers need to create a great online experience. Consumers expect fast, highly interactive, cutting-edge and visually appealing e-commerce applications. Therefore it's vital to manage and optimize application performance to delight users. Traditional application performance management solutions haven't kept pace with the demands of web 2.0, therefore next generation solutions have stepped in to bridge the gap.
E-commerce success is all about understanding and optimizing the user's experience. This calls for full end-to-end visibility into application performance from the user endpoint, the database, services and tiers that comprise the complete, extended application. To keep extended visibility both complete and simple, automatic analysis and correlation of data should occur with integrated visualizations and hot spots automatically prepared.
As IT and business alignment has become more important than ever, application performance management solutions must become truly business aware. This means going beyond sampling, statistics and averages to continuously capture all the facts to provide real depth and provide insight into the impact of performance and user experience into key business metrics such as conversion rates, bookings and revenue.
It's important to understand the performance of key e-commerce transactions relative to peers and competition. Visitors expect response times that are faster than a blink of an eye. With competition only a click away and user patience declining, relative benchmarking and performance indexing is becoming a must for ongoing e-commerce success.
In today's service-based, multitier application architectures, it's often impossible to determine in advance the path a transaction, such as a log-in, product search or checkout will take in production. To be proactive in this dynamic environment, critical performance data for all transactions have to be continuously monitored, not just after an incident happens. It requires the data to be accurate end-to-end, going beyond averages to analyzing the actual transaction details, including outliers.