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What is Real User Monitoring (RUM)?

Michael Carroll on Oct 28, 2024
What is Real User Monitoring (RUM)?

Real User Monitoring (RUM) definition

Real User Monitoring (RUM) is a passive performance monitoring technique that captures, analyzes, and reports on user interactions with web applications in real-time. Unlike synthetic monitoring (which simulates user actions), RUM collects data directly from actual users, making it a vital tool for understanding real-world user experience. By tracking metrics like page load times, errors, and user engagement, RUM enables organizations to identify performance bottlenecks, optimize user experience, and enhance website functionality based on actual usage data.

By leveraging RUM, organizations gain insight into the user journey, including the following key components:

  • Page Load Times measures the time web pages load in a user’s browser.

  • User Interactions track clicks, scrolls, form submissions and abandon, conversions: purchases, cart interactions, sign-ups and other user actions.

  • Error Tracking identifies JavaScript errors, network issues, and other client-side errors that users encounter.

  • Geographic and Device Information helps understand where users are located and what devices, operating systems, and browsers use. 

  • Performance of Different Components for visibility into how various web components (like images, CSS, JavaScript) impact user experience.

How Real User Monitoring Works

RUM operates through a small code snippet embedded in the web pages you want to monitor. When a user visits these pages, the script automatically captures data on user interactions and sends it to a backend server for analysis. Here’s a breakdown of the core components of RUM:

  1. Data Collection: As users interact with your web pages, RUM gathers performance metrics like page load times, navigation timing, resource timing, and error data.

  2. Data Transmission: The collected data is then sent to a backend server for storage and analysis.

  3. Data Analysis: RUM platforms analyze this data to provide user behavior and performance insights. These analyses may highlight high latency areas, frequent errors, or differences in performance based on device or geography.

  4. Reporting and Visualization: Most RUM tools feature dashboards for visualizing performance metrics, setting up alerts, and generating reports.

Why RUM is Important

Real User Monitoring is vital because it provides insights that synthetic monitoring cannot. RUM gives a true picture of how real users experience a site, including variations based on geolocation, device, network speed, and usage patterns. This makes it easier to identify:

  • Real-World Bottlenecks: Network conditions and device-specific issues can affect page load times.

  • Geographic Disparities: Users in different regions may experience different load times due to server distances or CDN effectiveness.

  • User-Centric Insights: Insights into user interactions help pinpoint pages or features where users drop off, indicating potential UX issues.

Examples of RUM Metrics

  1. Page Load Time: Measures the time for a page to be fully rendered on the screen.

  2. Time to First Byte (TTFB): Time from the user’s request to when they receive the first byte of data from the server.

  3. First Contentful Paint (FCP): Measures the time when the first visible content appears on the screen.

  4. Largest Contentful Paint (LCP): Tracks when the largest content element becomes visible.

  5. JavaScript Errors: Reports client-side errors encountered during page loading or interactions.

  6. Bounce Rate: Percentage of users who leave after viewing just one page, often due to slow loading times or poor UX.

Real-World Example of RUM

Consider an e-commerce website experiencing high cart abandonment rates. By implementing RUM, the company can track the time users spend on the product page versus the checkout page. They discover that users on mobile devices experience slower loading times on the checkout page. This insight, only available through RUM, helps the team to optimize mobile performance and reduce cart abandonment.

How PubNub help with user monitoring

PubNub aids Real User Monitoring (RUM) by providing real-time tracking, analytics, and user interaction data that businesses can use to understand and improve user experience. PubNub's Illuminate solution allows developers and product managers to monitor live user interactions and respond instantly to user behaviors. Here are the key ways PubNub supports RUM:

  1. Real-Time Data Collection and Analytics: PubNub captures real-time data on user behaviors, such as clicks, scrolls, interactions, and custom events within applications. This immediate insight enables businesses to adjust content and features dynamically based on how users are interacting with the app or site.

  2. In-Moment Personalization: PubNub can trigger personalized actions, like recommendations or targeted offers, based on user behavior. This helps in creating a tailored experience that responds to users’ immediate needs, enhancing engagement and satisfaction.

  3. Error and Anomaly Detection: PubNub tracks anomalies and potential errors during user interactions, such as performance lags or unresponsive elements, and provides the tools to address these issues quickly. This reduces frustration and prevents users from dropping off due to poor performance.

  4. Geolocation and Contextual Data: PubNub also supports geolocation tracking, enabling insights into regional performance and customizing the user experience based on location, which is critical for global user bases.

  5. Actionable Insights for Continuous Improvement: PubNub's dashboards and visualizations allow teams to analyze trends over time, facilitating continuous optimization and testing for better user outcomes.

Popular Real User Monitoring Tools

  1. Google Analytics Google Analytics provides basic RUM functionality, tracking user behavior and engagement metrics. While it's not a full RUM solution, it can offer insights into bounce rate, average session duration, and device types, making it a good starting point.

  2. PubNub PubNub Illuminate aids Real User Monitoring (RUM) by providing real-time tracking, analytics, and user interaction data that businesses can use to understand and improve user experience. PubNub's Illuminate solution allows developers and product managers to monitor live user interactions and respond instantly to user behaviors.

  3. New Relic Browser New Relic Browser provides comprehensive RUM features that capture detailed performance data from real users, including JavaScript errors and frontend performance. It offers dashboards for tracking page load times, error rates, and Core Web Vitals, along with geographic and device-based performance segmentation.

  4. Datadog Real User Monitoring Datadog RUM offers end-to-end monitoring of user sessions, tracking metrics like FCP, TTFB, and JavaScript errors. It integrates with other Datadog tools, making it useful for correlating frontend and backend performance issues. Datadog RUM also includes session replay functionality for reproducing user actions.

  5. Dynatrace Real User Monitoring Dynatrace provides AI-driven insights into real user behavior and performance. It tracks user sessions across applications and devices, highlights UX issues, and gives breakdowns by location, browser, and device. Dynatrace also integrates well with CI/CD pipelines, making it ideal for DevOps environments.

  6. Pingdom Real User Monitoring Pingdom offers simple, user-friendly RUM features suitable for small to medium businesses. It collects basic performance metrics like page load time, uptime, and regional performance breakdowns. Pingdom also supports alerting for high latency or errors.

Benefits of Using Real User Monitoring

  • Improved User Experience: With RUM, you can directly address user pain points, like slow-loading pages, frequent errors, or inconsistent layouts.

  • Better Business Outcomes: By improving user experience, RUM helps increase conversion rates, reduce bounce rates, and improve engagement.

  • Proactive Issue Identification: RUM enables you to catch issues early before they significantly impact user experience.

  • Performance Benchmarking: Set benchmarks based on actual user performance and track progress over time.

When to Use Real User Monitoring

RUM is ideal for:

  • User-Centric Websites like e-commerce, social media, and content-heavy sites benefit greatly from understanding real user experiences.

  • Web Applications with High User Interactions sites with interactive features (like online forms or dashboards) use RUM to measure engagement and identify friction points.

  • Geographically Diverse User Bases: For global audience websites RUM helps track performance across different regions and networks.

Digital Experience Monitoring (DEM) is part of the observability concept. Observability encompasses all methods for understanding the internal state of systems, apps, and digital infrastructure based on external outputs like logs, metrics, and traces.

In the context of user experience, observability provides a unified framework that includes DEM, Application Performance Monitoring (APM), and infrastructure monitoring. This approach allows organizations to track, diagnose, and optimize the full digital ecosystem from the backend (servers, databases) to frontend performance and end-user interactions. Observability enables proactive issue detection and ensures seamless, efficient, and user-centered digital experiences.

Final Thoughts

Real User Monitoring offers critical insights into how users experience your website or application. By providing real-time data on performance and engagement, RUM helps identify areas for optimization and prioritize improvements that directly impact user satisfaction. With tools like Google Analytics, Illuminate, New Relic, and Datadog, organizations can monitor and optimize performance, leading to better customer experiences and stronger business outcomes. Integrating data insights from RUM with big data strategies and effective data acquisition processes will further enhance decision-making and user experience optimization.