Be Warned: You Can’t Rely on Big Data!


I’ve been reading about Big Data’s foray into “Journey Analytics.” Journey analytics seeks to improve customer experience by collecting data at each point on a customer’s journey and mapping customers’ paths – whether they lead to a purchase or not.

The idea is that when you know the steps your customers take in their interactions with you, you can design a better customer experience.

The concept of a customer’s journey is nothing new. In my consultancy, we have been offering journey mapping in our customer experience consultancy for years. And linking data points throughout a journey is a step in the right direction.

But I have a big problem with Big Data. Because, while Big Data can increasingly show you what your customers do, it cannot show you why they do it. And the ‘why’ must be combined with the ‘what’ to get the insights necessary to make true strides in customer experience.

It’s All About Feelings

Our research has shown that more than half of a customer’s experience is made up of emotional factors.

When customers have positive emotions, they feel good about a company in general, building value. When customers feel negative emotions like anger, irritation or frustration, they might not make a purchase at all, or they might make one but leave with a negative feeling about the company. Either one can destroy value.

Big Data can’t see the distinction because it doesn’t measure emotions. It only shows that a sale was completed (success!) or that the customer left without buying (perhaps you need to do something different).

Big Data does provide useful insights in certain contexts. A website with a high bounce rate, for example, might need different marketing copy or more appealing graphics.

If people fill up online shopping carts but don’t buy, there may be a problem with the checkout system or shipping rates. But in other contexts, it’s impossible to make real improvements in Customer Experience without taking customer emotions into account.

Let’s take my recent adventure buying a Jeep. Data would tell you that I researched Jeeps fairly extensively online before visiting my local Jeep dealer, and that I test drove a Jeep one day and then made a purchase from that dealer for a certain price just a few days later.

This sounds entirely positive from the dealer’s standpoint, apart from the fact that I didn’t buy a Jeep on the first day I visited. But in fact, my experience negotiating the deal was horrible, I was both furious and frustrated, and I would never buy at that dealership again. But data can’t see this. It only sees another successful Jeep sale.

Data Must Be Combined With Emotional Insights

It’s hard for a business to improve its offerings and its customer experience if it doesn’t understand why customers behave the way they do. Without any insights into emotions, you can’t relieve the true customer pain points.

Think of automated phone answering systems. Customers universally hate them, and it can be frustrating when you need to talk to a real person but can’t figure out how to reach one. But data can’t see the frustration, and it has no way of knowing what alternate system a customer would prefer. It can see how many customers eventually pressed “0” to reach a human, but it can only guess at why.

The notion that “data speaks for itself” therefore isn’t true. Data is useful, but can only show the actions a customer took at a particular point in time.

Real insights come from monitoring and analyzing a customer’s emotions, past experiences and learned behaviors. By pairing these with Big Data, the data truly begins to “speak.”

When we work with clients, we identify their Emotional Signature and couple it with big data to get additional insights into the “why” of customer actions. This is especially useful when customers don’t behave the way a company thinks they should be behaving.

Beyond that, we find that it is useful for companies to plan the emotions that should be evoked by marketing materials, websites, customer service representatives, and other points of customer contact.

Mapping your customer experience from an emotional standpoint allows better testing of the experience through Big Data. You can evaluate effectiveness and customer satisfaction and obtain insights on points of success and areas that need improvement.

Data combined with insights into minds and thought processes is truly where the future of customer experience lies.

This blog post has been re-published by kind permission of Colin Shaw – View the original post

About the author

Colin Shaw Colin Shaw is an established leader in the field of Customer Experience and as a result of his outstanding thought-leading work; Shaw has been recognized by LinkedIn as one of the original top 150 business influencers worldwide with 84,000+ followers to date. Colin is also the Founder & CEO of Beyond Philosophy, author of 4 best selling business books & experienced speaker. Colin has not only helped shape the industry, but also leads & differentiates from others in this area as he ties together the emotional, subconscious & psychological experience. Follow Colin Shaw on Twitter: @ColinShaw_CX

Read other posts by Colin Shaw

Call Centre Helper is not responsible for the content of these guest blog posts. The opinions expressed in this article are those of the author, and do not necessarily reflect those of Call Centre Helper.

Published On: 26th Sep 2017
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