When Jens Erik Gould sees the same customer question repeated hundreds of times in a contact center, he recognizes it as more than a customer service issue. It may represent a confusing bill, a broken process, an unclear product feature, or a promise the business is failing to keep.
As founder and CEO of Amalga Group, Gould believes these conversations should be reviewed by more than just the service team. After years of building nearshore contact center operations in Mexico and Latin America for U.S. businesses, he sees repeated customer engagements as valuable operational intelligence. The contact center should be used both to solve problems and as an early-warning system for issues in other parts of the business.
What Do Customer Conversations Reveal That Dashboards Miss?
The reason the contact happened at all. Common metrics like average handle time, first-contact resolution, and customer approval show how a contact center is performing. But to really understand what is happening, businesses must ask a different question: Why are customers contacting in the first place?
McKinsey has documented how contact-center analytics can expose those root causes. In one financial services case, every 100 customer issues generated more than 160 calls. Analysis identified problems involving customers, agents, and internal processes, including operational issues such as replacement cards not arriving on time. Acting on those findings created an opportunity to reduce repeat calls by 15%.
“The contact center is often where problems elsewhere in the business become visible first,” says Jens Erik Gould. “If customers are raising the same issue, the question should be why they keep having that issue at all.”
What Can Repeated Customer Contacts Tell a Business?
Patterns are important. If more customers suddenly ask about invoices, it may mean your billing is unclear. If sales calls keep running into the same objections, your offer may not be clear enough. If customers keep asking for order updates, there may be a problem with communication or fulfillment.
That information becomes valuable when companies analyze calls, chats, tickets, and agent notes together. Customer feedback, behavior, and trend data from contact centers can inform operations, product development, and marketing, not just customer service.
Gartner reaches a similar conclusion. Its 2025 research describes customer feedback as a rich but often underused resource and argues that companies need systems able to turn raw feedback into practical insights.
For Jens Erik Gould, the practical implication is clear: recurring contacts should be categorized and investigated rather than simply closed.
Do Efficiency Metrics Still Matter?
Yes, and they come first. Contact centers exist to serve customers efficiently. Leaders need to ensure calls are answered, issues are resolved, and service levels are met. Adding more analysis can make things more complex for teams already working to meet tough targets.
As Jens Erik Gould notes, these concerns are valid. If a contact center cannot solve customer problems, it is not doing its main job, no matter how many insights it produces.
Why Isn’t Resolving the Contact Enough?
The real mistake is thinking that solving the issue is the end of the process.
If agents answer 1,000 calls about the same confusing policy, it may look good on paper. But in reality, the company is paying staff to explain the same avoidable problem repeatedly. McKinsey documented an energy company that analyzed repeat contacts by product, call type, and timing to identify their underlying causes. Addressing problems involving customer behavior, agent skills, routing, and processes reduced repeat calls by 25% to 50%, generating estimated savings of $5 million to $10 million.
“Good service solves the customer’s problem,” Jens Erik Gould says. “Good business intelligence asks whether the company can prevent that problem from happening again.”
How Can Companies Turn Conversations Into Intelligence?
Jens Erik Gould believes it is crucial to track why customers are contacting, not just how the contact center is performing. Categorize the reasons for calls, chats, or escalations to spot patterns that basic metrics might miss.
Ensure the right teams see these patterns. Most companies already have the analytics; the challenge is routing what those analytics find. It’s smart to split it three ways:
- Billing complaints go to finance and operations.
- Product confusion goes to the product team.
- Recurring sales objections go to marketing and sales leadership.
Focus on trends, not just one-off interactions. Amalga Group recommends looking at performance over rolling periods rather than single months. Trends show whether your operation is improving or slipping.
What Happens to the Contact Center as AI Takes Over Routine Work?
AI will handle more routine service requests in the future. This means the information from more complex, human interactions will become even more valuable. Gartner predicts that agentic AI could resolve 80% of common customer service issues by 2029.
For Jens Erik Gould, the best opportunity lies in learning from what customers are already saying. Complaints show where there is friction. Questions show where things are unclear. Objections demonstrate uncertainty. Repeated issues show patterns.
A contact center can answer calls, but a business that listens closely can use those conversations to decide what to fix next.
Frequently Asked Questions About Contact Center Intelligence
What Is Contact Center Business Intelligence?
It is the practice of categorizing why customers make contact, not just how quickly contacts are handled, so recurring issues reach the teams that can fix them. Amalga Group builds this reporting into the nearshore contact center teams it runs for U.S. clients.
How Do You Reduce Repeat Calls In A Contact Center?
Categorize contact reasons, analyze them over rolling periods rather than single months, and route the patterns to the teams that own the underlying process. McKinsey documented reductions of 25% to 50% in repeat calls using this approach.
Will AI Replace Contact Center Agents?
Gartner predicts agentic AI will autonomously resolve 80% of common customer service issues by 2029. That makes the remaining human conversations more valuable, not less, because they are where the complex and revealing problems end up.
About Jens Erik Gould
Jens Erik Gould is the Founder and CEO of Amalga Group, an American-owned nearshore BPO and outsourcing provider headquartered in Dallas, Texas, with delivery centers in Monterrey and Mexico City. Amalga Group builds and manages dedicated nearshore teams for legal, financial services, technology, telecom, retail, and healthcare companies, including legal intake, legal call center, records retrieval, contact center and CX, back-office, and finance and accounting operations, at 40–50% below comparable U.S. cost. Amalga Group is ISO 27001 certified and HIPAA compliant, with SOC 2 Type II in progress. Before founding Amalga Group in 2021, Gould worked in the financial sector, contributing his expertise to firms including Apollo Global Management.
