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The Metric You’re Using to Measure Customer Experience Is Costing You Revenue

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Why This Matters

Measuring customer experience solely as a cost center focused on operational efficiency is limiting revenue growth. Shifting to metrics that reflect business outcomes like customer retention and lifetime value can unlock new revenue opportunities and improve overall profitability. This change requires rethinking both reporting practices and operational infrastructure to align CX with revenue generation.

Key Takeaways

Opinions expressed by Entrepreneur contributors are their own.

Key Takeaways Most companies still measure customer experience (CX) as a cost center using metrics like handle time and deflection rates — but measuring it this way is costing companies more revenue than they realize.

Stronger CX organizations focus on metrics that signal real business outcomes, not just operational efficiency.

These metrics include customer retention influenced by support interactions, revenue protected through CX intervention and lifetime value correlated to resolution quality.

Reframing CX as a revenue function requires building the operational infrastructure to support it. Reporting must also change. CFOs respond to retention economics, churn attribution and proof before commitment.

Spend enough time talking to CFOs about customer experience (CX), and you start to notice a pattern. The conversation almost always gravitates to the same set of numbers: handle time, deflection rate, cost per contact. “How much did we spend serving customers this quarter, and how do we spend less next quarter?”

These are not bad questions. Cost discipline and efficiency matter.

But they are the wrong framing for what customer experience actually is and what it’s capable of as a business function. And I believe that measuring CX as a cost center instead of a growth function is quietly costing companies far more revenue than they realize.

The metrics we inherited were built for a different problem

The traditional CX dashboard was designed to manage a support operation. The goal was throughput: handle more contacts, resolve them faster, keep the cost per ticket as low as possible. Deflection rates were celebrated because every contact that did not reach a human agent was a dollar saved.

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