As a solutions consultant who has partnered with many leading financial services companies, I've seen a common thread: the relentless pressure on support teams.
When digital experiences break down, customers stop what they're doing and ask for help. Instead of completing applications, submitting documentation, or progressing through claims, they're stuck waiting for support. The result is a compounding problem: frustrated customers create tickets, support teams become overwhelmed, response times slow, and, all the while, customers continue running into the same unresolved issue, so the ticket backlog grows.
Luckily, that exhausting chain of events isn’t inevitable.
Fullstory helps financial services institutions detect friction before it becomes a wide-scale issue, improve chatbot experiences with behavioral data, and give support agents the context they need to help users faster.
The key takeaways
Proactive beats reactive: Waiting for tickets means problems have already impacted your users. Proactive support surfaces issues as they happen, so teams can step in early and prevent poor experiences from spreading.
Reliance on tickets leaves blind spots: Depending solely on support tickets provides an incomplete picture of user issues, as many customers abandon tasks without ever reporting the friction they encounter.
AI-powered session summaries enhance resolution speed: Instant, contextual summaries in support tools like Zendesk lead to increased efficiency, reducing average ticket resolution time by over 30%.
Proactive detection prevents scale issues: Fullstory enables teams to identify friction, like rage clicks or repeated form errors, in real time across every user session, allowing them to fix problems before they become widespread.
Context makes chatbots effective: By injecting behavioral data into chatbots, teams can transform them from simple FAQ systems into context-aware tools that understand a user's specific struggle, increasing ticket deflection rates.
Visuals speed up resolution: Tools like Session Replay and Fullcapture eliminate the need for back-and-forth troubleshooting by giving support agents a step-by-step view of the exact errors and actions that preceded a support request.
Proactive vs. reactive support
Traditional support models rely on customers to raise their hands when something goes wrong—but by then, frustration has already set in. The longer issues go undetected, the more users abandon key tasks like applications, claims, or onboarding.
A proactive approach flips that script.
Rather than responding to tickets after friction has already impacted the customer experience, proactive support gives your team real-time visibility into what’s happening. You can identify patterns of struggle—like repeated form errors, rage clicks, or drop-offs—as they happen, and take action before customers ever reach out (or give up).
Behavioral data also helps teams predict customer churn before it reaches that point, spotting the friction patterns that precede cancellation weeks before any customer opens a ticket.
Moving from reactive to proactive may sound like a massive undertaking, but Fullstory makes it simple.
Detect friction before your customers report it
Tickets give customer support teams only a partial picture. The information submitted often includes unclear descriptions, missing steps, or incomplete details about what went wrong. Plus, for every customer who reports an issue, many more will simply abandon the task and move on, without ever reaching out.
If your team only knows what’s broken based on ticket submissions, you‘re probably missing a lot of moments where critical flows silently fail or where friction causes repeated drop-offs.
To address problems more effectively, teams need visibility into friction as it occurs. They need to know when a step within a customer journey is underperforming, whether the problem is isolated or systemic, and what users are doing in response.
Fullstory gives financial services teams this level of insight, capturing complete behavioral data across every user session and providing a detailed view of where customers are struggling—even if they never file a ticket. Real-time signals like rage clicks, repeated form errors, or sudden drop-offs help identify problems as they emerge. Teams can set alerts based on key behaviors or thresholds, so teams are notified the moment something goes wrong.
Instead of waiting for reports to accumulate, teams can step in early and prevent the user experience from breaking down at scale.
Deflect tickets with smarter AI-powered chatbots
Many support teams rely on chatbots as their first line of defense. They’re fast, scalable, and always on, making them a natural fit for handling repetitive questions and reducing the burden on live agents. However, many chatbots historically lacked the necessary context to be truly effective. “Glorified FAQ bots” is a phrase I’ve heard to describe these tools many times, and in honesty, I’ve agreed with it—until now.
To address this, organizations can take advantage of Fullstory’s ability to stream in-session data within 2-5 seconds. Streaming this context to AI chatbots like Intercom Fin dramatically enhances their responses and their capacity to resolve issues in real time. By augmenting human support with these autonomous tools, teams can focus on handling more complex issues, fostering higher levels of customer service.
One standout capability that I’ve seen have the most impact for organizations is Fullstory’s ability to stream in-session data within 2-5 seconds. Streaming this context to AI chatbots like Intercom Fin dramatically improves their responses, and most importantly, their ability to solve issues and convert customers in the moment. By augmenting human support with these autonomous tools, teams can focus on more complex issues and provide even higher levels of service. And that’s on top of the ultimate benefit: A smoother, more intuitive customer experience that fosters loyalty and satisfaction.
Give support agents context to resolve issues faster
Of course, some issues will still be escalated to your support team. Too often, support teams are forced to piece together what went wrong based on vague descriptions, screenshots, or long threads of back-and-forth troubleshooting. This takes time, adds friction on both sides, and slows down resolution.
Fullstory eliminates that guesswork. With features like Session Replay and Fullcapture™, support agents get a clear, step-by-step view of what the user experienced. They can see what was clicked, which errors appeared, where the user retried an action, and what happened just before they reached out for help.
Key moments and session summaries can even be pushed directly into tools like Zendesk. So when a ticket hits the queue, your team already knows what happened and can focus on fixing it.
Real-life results: The ROI of enhanced support systems
The organizations I work with see tangible ROI from building proactive support systems. Some of the most impactful outcomes include:
Increased ticket deflection: By injecting behavioral insights into tools like Fin to identify and resolve frustrating user experiences, organizations have dramatically reduced the number of support tickets created, leading to a significantly higher ticket deflection rate.
Improved first contact resolution: When tickets are created, agents have all the information they need to solve the issue on the first touchpoint. I've seen first contact resolution rates jump by 25-30% in a matter of months.
Reduced discovery time: Thanks to session replays, agents spend minutes, not hours, on discovery. This leads to a significant drop in average handle time and allows teams to handle more complex issues
Enhanced issue reproduction: The ability to view past interactions means that frustrating and costly tickets, where agents previously struggled to reproduce issues, can now be addressed effectively. With Fullstory, if an issue occurred, it’s visible and understandable through contextual AI-powered summaries.
Elevated customer satisfaction: Many of the organizations I work with see noticeable improvements in customer satisfaction (CSAT) scores because faster, smarter, more proactive support is the key to delighting customers. And the cherry on top? Happier customers are more loyal and have a higher lifetime value
TBC Bank builds trust and drives efficiency with Fullstory
The challenge:
TBC Bank’s dashboard was complex and scroll-heavy, and many visitors never scrolled beyond the first viewport. They also had a time-consuming onboarding process that created friction for new users.
The solution:
Using Fullstory's behavioral data, the organization identified exactly where customers were running into friction. This insight powered a dashboard redesign with banking personalization features and a streamlined onboarding flow.
The results?
145% increase in conversion rate
81% reduction in time to task
3x faster onboarding flow
Provide proactive customer support with Fullstory
When your team has to wait for a complaint to know something ’s wrong, you’re already behind. But when you can see friction as it’s happening, respond with context, and continuously improve the underlying experience, you put your team in control and your customers back in motion.
That’s what Fullstory enables: a support model that’s proactive, self-service-friendly, and grounded in the deep insights derived from advanced fintech analytics. The result is less churn, faster journeys, and a support team that’s solving real problems instead of chasing symptoms.
Ready to raise the bar? Start with a demo and learn how Fullstory helps financial services organizations like yours.
