How to increase customer trust in financial services: a case study in customer experience management through analytics
In financial services, trust is not just part of the brand. It essentially determines whether a customer is willing to stay with the company, use its services again, and recommend it to others. Unlike many other industries, customers here evaluate not only the product or rate, but also the sense of security, transparency, and support at critical moments.
One financial company with a large customer base, an extensive branch network, and active online communication channels found itself in a difficult situation. Formally, business metrics remained stable, but customer trust was gradually declining.
On the surface, this didn't look like a crisis. The company continued to serve customers, handle inquiries, and keep branches running. But some customers stopped using its services, and negativity increasingly appeared not in official complaints but on Google Maps, social media, public reviews, or comments after interactions with managers.
The company had plenty of financial analytics but almost no visibility into the real customer experience. It understood what was happening with products and sales, but didn't always see what customers actually felt during their interactions.
Why trust in the financial sector is lost unnoticed
In financial services, customers rarely respond to a negative experience with an immediate complaint. They often simply stop returning, choose another company, or share negative feedback publicly. This is especially dangerous for businesses because the loss of trust isn't always immediately reflected in reporting.
A customer may forgive a longer wait, a complex process, or temporary technical inconvenience. But they react much more sharply to indifference, non-transparent communication, lack of explanation, or poor service at a moment when the issue is critical to them.
For a financial company, such situations mean more than just losing individual customers. They affect repeat inquiries, referrals, brand reputation, and the cost of acquiring new customers.
That is why management concluded that standard financial and operational analytics were insufficient. They needed a system that would show exactly which touchpoints caused customers to lose trust and what needed to change in the service.
What existed before systematic analytics
Before launching Revisior, the company operated mainly reactively. Feedback came from various sources: some complaints reached the call center, some went to managers, and some went directly into the public domain. Meanwhile, most dissatisfied customers didn't report their problems directly at all.
Management lacked a complete picture of service quality. It was difficult to understand which processes generated the most negativity, which branches had recurring problems, how individual managers were performing, and which stages of the customer journey most affected retention.
When a complaint arose, it was usually resolved locally. But no systemic changes followed, so the same problems could recur across different channels or branches.
It was especially difficult to monitor response times for inquiries, consultation quality, the level of communication after service enrollment, and how staff handled difficult situations. These factors are precisely what shapes a customer's sense of trust or distrust.
How the company began managing trust through data
To gain visibility into the real customer experience, the company implemented systematic feedback collection through Revisior. After each interaction with the company, customers began receiving short surveys via SMS, Viber, email, QR codes in branches, and the online account portal.
The surveys allowed customers to rate consultation quality, service speed, clarity of information, trust level, and the overall experience of interacting with the company.
Importantly, feedback was collected immediately after customer contact, while the impression was still fresh. This made it possible to receive not just formal ratings, but real signals about how customers perceived the service.
All feedback was automatically collected in the unified Revisior system. The company gained the ability to analyze NPS, satisfaction trends, causes of negativity, branch-level ratings, manager performance, and pain points in the customer journey.
What the analytics revealed
After accumulating enough data, the company found that customer trust most often declined not because of the financial product itself, but because of the quality of communication surrounding it.
Customers reacted negatively to complex explanations, a lack of clear information after enrolling in a service, slow responses to inquiries, and inconsistent consultation quality across branches.
It also became clear that some problems were not random but occurred systematically. Some branches performed consistently well, while others needed additional oversight, staff training, or changes to internal processes.
Particular value came from the ability to see customer experience not just across the company as a whole, but broken down by specific channels, branches, employees, and interaction stages.
Rapid response as a tool for maintaining trust
A key element of the project was the automation of negative feedback management. Low ratings were automatically forwarded to responsible managers along with the cause of the problem, the contact channel, branch and employee information, and the severity of the situation.
SLA targets and response workflows were configured for different types of issues. This made it possible to handle negativity before customers left a public review or decided to switch companies.
In financial services, response speed is especially important. If a customer feels that the company sees their problem and is ready to resolve it, their trust level can recover even after a negative experience.
Results
After implementing systematic analytics, the company achieved tangible improvements in customer experience management.
The number of collected reviews grew 2 to 4 times. This provided a significantly more complete picture of how customers rated service across different interaction channels.
Response speed to issues increased threefold. The company began identifying critical situations faster and engaging the right employees more quickly to resolve them.
At the same time, the number of negative public complaints decreased, NPS metrics improved, the number of repeat customer inquiries increased, and the level of brand trust rose.
The most important result was that the company learned to see problems before they escalated. Service stopped being a collection of individual responses to complaints and became a managed process.
What changed for the business
Before implementing analytics, customer trust was perceived as a complex and partly subjective metric. After launching the system, the company was able to make it measurable.
Service became controllable, predictable, and data-driven. The company gained the ability not only to respond to negativity, but to analyze its causes, compare branch performance, and make management decisions based on real customer experience.
In effect, the business moved from the model of "resolve an individual complaint" to the model of "manage customer trust systematically."
Conclusion
In financial services, trust is built not by advertising or promises, but by the real experience a customer has at every touchpoint. A consultation, service enrollment, support interaction, explanation of terms, or problem resolution — each of these moments determines whether the customer stays with the company.
This case shows that building trust begins with a transparent feedback collection system and customer experience analytics. It is this system that allows a financial business to see the reasons for trust erosion, respond quickly to negativity, improve service, and grow in a stable and predictable way.
Gain control over the customer experience in your company
Revisior helps financial companies systematically collect feedback, monitor service quality, analyze customer experience, identify the causes of trust erosion, respond quickly to negativity, and increase customer loyalty.
Contact us — we'll show you how this can work specifically in your business.
