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Helpfeel

20% Fewer Calls as Membership Grows: How a Major Credit Card Company Scaled Support Through Self-Service

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Major Credit Card Company

Banking1,001+ employeesCustomer Support / Marketing

Major Credit Card Company

At a glance

  • Call volume reduced 20% despite membership and usage growth
  • FAQ page views nearly doubled after implementation
  • FAQ content expanded 8x through data-driven call analysis
  • Search data now drives marketing campaigns and website improvements

The Challenge

As cashless payments expanded and contactless transactions surged during the pandemic, credit card adoption accelerated. A growing user base meant a proportional rise in customer inquiries, and the contact center bore the strain.

The company had built its reputation on quality phone support and was unwilling to compromise that standard. But as call volume grew beyond manageable capacity, it became clear that additional channels were needed.

An FAQ existed, but it had never been prioritized. The company's focus had always been phone service, so the FAQ was underutilized and sparse compared to industry peers. Worse, no clear ownership or operating rules existed. Individual teams posted articles as they saw fit, leaving the FAQ incomplete and often outdated. Customers who needed answers had no reliable way to find them on their own.

Why Helpfeel

The company approached the problem in two phases. First, they analyzed call data, categorized inquiry types, and identified what could be resolved through self-service. They expanded the FAQ to roughly 8 times its original size based on real customer voice data.

Then came phase two: adopting a new FAQ system.

Superior search performance was the primary functional criterion. The pricing was reasonable and made internal approval straightforward. But those were just the initial hook.

What made the deeper impression was the comprehensive support Helpfeel provided from the start. The sales team, Customer Success representatives, and technical writers all contributed to optimizing the FAQ content in ways the internal team could not have achieved alone. The experience felt less like using a passive tool and more like engaging with a human-centered service, a partner rather than a vendor.

What They Did

  • Analyzed call data and categorized inquiry types to identify what could be resolved through self-service
  • Expanded FAQ content to approximately 8x the original volume based on customer voice data
  • Implemented Helpfeel with guidance on making article titles clearer and more intuitive
  • Improved internal consistency between articles with ongoing Customer Success support
  • Established monthly review meetings to generate new insights and optimize content structure

Results

After Helpfeel was introduced and the content revised, FAQ page access volume nearly doubled compared to before.

Despite continued growth in both membership and per-member card usage, incoming call volume to the contact center declined by approximately 20%. While multiple factors contributed, Helpfeel's role in helping customers resolve questions independently was a key driver.

A significant additional outcome was the ability to surface customer needs through Helpfeel's search data. The company now uses this intelligence in several ways: identifying sudden spikes in search keywords to diagnose communication problems and create targeted FAQ articles, using search trend data to inform website improvements and direct mail campaigns, and prioritizing which new FAQ content to create based on what customers are actually looking for.

Helpfeel evolved beyond being purely an FAQ tool. It now functions as a marketing intelligence resource, surfacing hidden customer needs that would otherwise go undetected.

Looking Ahead

Introducing Helpfeel enabled the company to use the FAQ as a lens for identifying communication gaps with customers, the outcome they describe as most significant. The tool exceeded the scope of an FAQ system to serve as a marketing resource as well.

Going forward, the company intends to use Helpfeel not only to continue reducing call volume, but to invest more deeply in improving overall communication design and service design, using the insights the platform surfaces as a foundation for broader improvement.