Real User Monitoring

Measure What Matters in Real Time

Real User Measurement (RUM) is a new analytics tool for marketing and operations professionals. Marketing has a huge data component and good marketing is all about how you use that analytical data. By measuring from the user’s browser or app, RUM quantifies the correlation between page load time and user engagement, and shows where to optimize performance for more positive outcomes.

Gain insight from the source
Collecting data directly from a user’s browser or mobile application in real time, Real User Monitoring (RUM) captures performance metrics such as bandwidth and page load times as well as engagement metrics like bounce, and conversion rates. RUM also gathers mobile user metrics like user location, device type, carrier speed and application usage to complete the total perspective.

Measure performance impact on business
Once aggregated, Real User Monitoring then presents actionable views of this data via stunning dashboards populated instantly via the industry’s first in-memory analytics engine. You are provided second-by-second views of real user activity broken down by such segments as page groups, browser type, bandwidth distribution, and geography.

Act on what matters
With this information at your fingertips, teams across your entire organization, including line of business managers, now have the real user intelligence they need to correlate the impact of performance on the bottom line, take immediate action as required, and ultimately prioritize resources and efforts on improving the key performance indicators that matter most to your business.

There is a strong correlation between page load time and human behavior. If users cannot engage quickly with sites and apps, their user experience suffers and they will take their business elsewhere. While the focus on the back end (server) is on stability and scalability, 80 to 90 percent of page load time is spent on the front end (browser).

By measuring from the user’s browser or app, Real User Monitoring quantifies the correlation between page load time and user engagement, and shows where to optimize performance for more positive outcomes.