New Relic Engagement Intelligence helps Transform User Behavior Analysis with AI

Digital experience is at the heart of every business. Ensuring these experiences are smooth, always available, and drive conversion is becoming harder than ever. The complexity of modern applications, often consisting of hundreds of microservices, serverless functions, and dozens of third-party APIs for everything from payment processing to customer support chatbots has made true Digital Experience Monitoring (DEM) incredibly difficult. Tool sprawl creates data gaps and silos that slow down detection, finding the root cause and MTTR. Plus, user expectations have grown tremendously, they want new, personalized and smooth digital experiences every time. They have also become less forgiving, and one bad experience will often send them looking for other options.

You Can’t Fix What You Can’t See

Today’s users expect seamless digital experiences. But many dev teams struggle to understand why users drop off, or experience friction, because they lack a complete view of user behavior and seeing what the user was doing when they dropped off. Tool sprawl leads to data gaps and silos, and today 50% of organizations still use five or more tools. Collecting user behavior data is still often beholden to manual  instrumentation, it is hard to correlate, making it difficult to troubleshoot issues quickly. This means delays in fixing issues, user frustration, and lost revenue. To truly understand user behavior, you need to see what your users are experiencing.

Let’s say an engineer notices a spike in user drop-offs, could it have been due to slow page load or broken search while shopping on their favorite e-commerce site? With limited data and no visibility into the backend, they’re forced to reconstruct the issue manually. This is time consuming and really hard to do, and often things get missed. As teams scramble to recreate the issue, they are also needing to update executives that are watching sales plummet, all the while your users are churning. This is incredibly frustrating for both your users and your dev teams that are constantly under fire and spending precious time on fixing issues while innovation takes a hit. Other solutions on the market require manual instrumentation, and don’t provide full context of the issue, so you still have to connect the dots about what is happening on the front-end with the back-end, this is time consuming and costly.

AI driven analysis supercharges your MTTR

New Relic Engagement Intelligence is a core component of our fully-integrated Digital Experience Monitoring (DEM) solution, it automatically collects and correlates end-to-end user behavior data to help you proactively identify and eliminate frustration points within your digital applications. Instead of relying on manual instrumentation, or sifting through vast amounts of data, Engagement Intelligence automatically tracks user interactions like clicks, rage clicks, dead clicks, scrolling, and typing, using intelligent element attribution to understand what users are engaging with. It then connects this frontend user behavior with underlying backend service performance and infrastructure health, providing a unified view.

So now when our engineer sees users drop off, he can quickly see what that user was doing via Session Replay, and see a full topology of the impacted services. Instead of digging for answers, the team is laser focused on solving the problem. Engagement Intelligence democratizes insights, making it easier for engineers, product teams, and UX designers to quickly pinpoint where users are struggling, understand the root cause of those issues, whether frontend or backend, and prioritize improvements. They can quickly optimize the digital experience and reduce customer churn, while leveraging AI-powered session summaries to highlight the most impactful moments instead of searching for them.

Core features include:

User Actions
Understand how users engage with your product—no manual instrumentation needed. Capture clicks, scrolls, typing, and more, automatically. Intelligent attribution shows you where users are engaging and where they're getting confused or distracted with zero manual instrumentation. Rage clicks show you where users are getting frustrated

Full-Stack Session Replay
See exactly what users experienced whether you're troubleshooting a frontend or a backend issue. Relevant replays are embedded directly within Errors Inbox and the APM experience to show user impact without switching context. Replays are synced to detailed telemetry data so you can understand and fix UX or system issues faster.

In-Context Browser Console Logs
Enable console log collection with a single switch to make them available right where engineers need them. Adjusting verbosity and sampling are simple server-side configs so they can quickly adapt to changes in your environment. Logs are contextually surfaced in error workflows and replay to give you all the information you need to identify root cause and fix it faster.

AI Session Summaries & Sequence Builder
Skip the guesswork. Let AI surface key sessions and behaviors so you can prioritize the biggest issues instantly. The conversational interface gives you the flexibility to parse hundreds of hours of user behavior and answer any question about your users' behavior in minutes. Use the sequence builder to narrow your search down to users that followed a specific sequence of events for deep dives on key user flows.

With Engagement Intelligence, teams gain end-to-end visibility through automatic collection and correlation of user engagement data across the browser and backend—no manual effort required. It delivers deep behavioral insights like rage clicks, scrolling, and typing, all captured out-of-the-box without instrumentation. A simple JavaScript snippet means teams can start collecting meaningful data immediately. And with AI-powered insights, engineers are pointed directly to the sessions that matter most, helping them resolve issues faster and improve digital experiences with speed and precision.