We Have More Customer Data Than Ever. So Why Are We Further From the Customer?

More than 50 years ago, direct customer interaction was simply part of doing business.

At the market stall, in the travel agency or at the airline office in the city centre, you knew the person in front of you. You knew their questions, needs, preferences and often something about their background. Those conversations influenced what was stocked, what was recommended and how the service evolved.

Customer centricity existed long before we gave it a name. What has changed is not our interest in the customer. It is the distance between the customer and the people making decisions about them.

1. Direct Dialogue: When customer understanding was built into the business

There was no Voice of Customer program. No journey dashboard. No customer-data platform. Customer insight came from interaction. Retailers heard directly why something sold or did not. Travel agents understood what mattered to a family choosing a hotel. Service businesses learned from the questions customers repeatedly asked.

This was hardly scientific, and businesses today have access to far richer information.

But one thing was very different: the customer was part of the decision-making loop. The person making decisions was often close enough to hear what customers actually said, not simply interpret their behavior afterwards.

2. Scale: When efficiency became essential

From the 1960s onwards, strong economic growth drove the rapid expansion of retail and hotel chains. Standardized formats made that expansion possible. Television and magazines gave brands enormous reach. Processes became more structured and professional. Efficiency was not the enemy. It was what allowed businesses to scale.

But there was a consequence.

As organizations grew, decisions increasingly moved away from the individual store, hotel or customer interaction. The people determining formats, assortments and operating models were often no longer the people speaking to customers every day.

Scale expanded the business and shrank the conversation. The challenge was no longer knowing a few hundred customers personally. It was understanding millions of them consistently. So businesses needed new ways to listen.

3. Digital Distance: More channels, more intermediaries, less direct contact

Technology appeared to solve that problem. Telephone, internet, e-commerce and social media created more ways for customers and businesses to interact. At the same time, new intermediaries became increasingly powerful. Amazon sat between retailers and shoppers. Booking.com and other platforms increasingly sat between hotels and guests. Many of the old points of interaction disappeared because they were no longer economically viable. The travel agency disappeared from many high streets. Airline offices closed. Transactions moved online. Businesses suddenly had access to huge amounts of customer information.

But the relationship itself became increasingly indirect. Today, we can often track a customer through an entire digital journey without anyone in the organization ever having a conversation with them. The people that do interact in the retail stores or hotels, the people on the shop floor or in contact centers are the ones least heard in the corporate offices. That is a strange form of closeness.

4. Data Over Dialogue: We know what happened. Do we know why?

Customers gradually became numbers. We measure clicks, searches, conversion, abandonment, frequency, spend, satisfaction and retention. And now AI allows us to analyze (and predict?) those behaviors at a scale that would have been unimaginable even a few years ago. This is enormously valuable.

But there is a risk in treating behavioral visibility as customer understanding. A dashboard can tell us that a customer abandoned a booking. It cannot necessarily tell us whether the issue was price, uncertainty, poor information, lack of trust, frustration with the process or simply a change of mind.

Yet organizations make decisions every day on the basis of these signals. We describe ourselves as data-driven. Increasingly, AI-driven.

But beneath many of those decisions remains an assumption about what the customer actually wanted. The dashboard knows what the customer did. It rarely knows why. Data should make our questions better. It should not remove the need to ask them. Let alone substitute dialogue.

5. Efficient Listening: When CX started optimizing the conversation too

Most retailers, hotels and service organizations today would describe themselves as customer-centric. And most have invested significantly in Customer Experience. Journey mapping. Voice of Customer programs. Customer measurement. Contact centers. Organizational alignment. Digital analytics. Yet there is an interesting contradiction in how much of this work is designed. Efficiency still drives many of the customer interactions intended to help us understand customers.

We send one-way feedback surveys. We capture Voice of Customer data through contact centers while simultaneously trying to reduce handling time. We insert chatbots into feedback and service channels. We optimize for issue-resolution speed. We analyze where customers leave an e-commerce funnel.

Again, none of these practices is inherently wrong. The problem comes when processing customer feedback becomes more important than understanding it. A complaint resolved in three minutes may be operationally efficient.

But did we understand why the customer had the problem in the first place?

Did anyone identify whether hundreds of other customers might experience the same thing? Did the organization learn anything that will change the experience?

Even listening to customers has become an efficiency exercise.

6. From Mapping to Action: Putting customer dialogue and understanding back into decisions

In our work, we see another imbalance repeatedly.

Businesses invest heavily in acquiring new customers, while retaining loyal customers receives less attention and budget. Contact centers are managed primarily as cost centers, even though they contain some of the richest direct customer intelligence in the organization. Emotional connection is discussed, but often loses out to measures that are easier to quantify.

And customer journey maps are produced without always changing how the business actually operates. This is where CX needs to become more strategic.

A good journey map should not simply document what happens. It should help an organization decide:

• where customer expectations matter most;
• where the brand promise needs to become tangible;
• where friction is destroying value;
• where investment should increase or decrease;
• where ownership needs to change;
• and which improvements can influence retention, revenue and margin.

We have seen organizations change spending priorities after introducing real customer interaction and insight into their journey work. We have seen opportunities emerge with both new and existing customers. And we have seen stronger commercial outcomes when the organization becomes clearer about the moments where it genuinely needs to exceed expectations. We have seen value arise when customer emotions are brought back in.

That is ultimately the value of Customer Experience. A customer journey map that changes no decisions is simply a drawing on a wall.

Getting closer again

The answer is not to go backwards.

Businesses are not going to replace e-commerce with market stalls. Hotels are not going to abandon Booking.com. Nor should organizations stop using customer data, automation or AI.

The opportunity is to combine what we have gained with something we have gradually lost. Direct customer dialogue.

Use data to identify the behavior. Use AI to find patterns. Use technology to operate efficiently. But speak to customers to understand what those signals actually mean.

Because after decades of adding channels, systems, metrics and technology between organizations and customers, perhaps the next step in customer centricity is surprisingly simple: bring the customer back into the conversation.