Can Voice Analytics Stem the Customer Satisfaction Skid?

Filed under - Industry Insights,

Big data, in the form of speech analytics, is revolutionising the way customer service is delivered. Can it jump-start stagnant customer satisfaction levels as well?

I’ll admit it. As predictions go, mine wasn’t as bold as the ones that foresaw flying cars, the end of the world or even that spam (the digital variety) would soon be eradicated from the earth.

But unlike those not-so-prescient prognostications, my prediction actually came true.

A few years ago, I forecast that corporate contact centres would soon dive headlong into “big data” to provide a better, more personalised customer service experience.

Lo and behold, contact centres have spent the past several years embracing all that the digital revolution offers, digitising and aggregating every customer interaction done by phone, social media, email, IM or even in person. This provides them a robust, fully referenceable, 360-degree view of every customer.

Now they’re plunging even deeper into big data. Contact centres are using speech analytics – the process of digitally analysing interactions between customers and agents – to take their products, processes and customer service efforts to another level.

While speech analytics has been around for more than a decade, recent advancements in digitalisation, machine learning and artificial intelligence have made it amazingly powerful, enabling contact centres to transform vast troves of data into eye-opening, real-time insights.

When digitalising the conversation and comparing key indicators against an exhaustive database, a company can forecast if a customer call is headed in the right direction or starting to go off the rails.

It can evaluate the pitch and tone of a customer’s voice against predetermined benchmarks to determine if they are satisfied or becoming upset or frustrated. Or by evaluating pauses, silence or crosstalk, the organisation can determine how successfully the agent is answering a question or resolving an issue.

The Secret Is Out

The implications for customer service and beyond are enormous, and the secret is out. From a couple dozen companies using a rudimentary form of speech analytics in 2003, the market for this technology exploded to more than 3.5 million businesses in 2015, according to Tenfold, and has been growing at a double-digit clip in the years since.

This embrace of big data comes at an opportune time, not just for organisations that utilise contact centres, but also for the economy in general. The American Customer Satisfaction Index (ACSI), which measures customer satisfaction across the United States, has remained stuck at 76.7% for more than a year – as per the American Customer Satisfaction Index.

While that’s just a fraction of a point below its all-time high, it’s the longest stretch of stagnation since ACSI began in 1994. Sure, it may be tempting to think “Flat is better than down”. But the truth is, changes in aggregate customer satisfaction are a good predictor of future consumer spending. So, a stagnant national ACSI score is a troubling sign for the economy because it portends average economic growth at best.

Pointing the Needle North Again

Can voice analytics help point the customer satisfaction needle in a northerly direction? I wouldn’t bet against it. By using big data-based voice analytics properly, organisations now have the insights to overcome the thorniest issues that bedevil today’s customer service efforts. They can readily identify common issues that typically prompt customer calls, resolve more problems on the first contact, shorten call-handling times and even improve the quality of their product and service offerings.

And that’s just the beginning, I’m sure. If they aren’t already, speech analytics and AI together will enable contact centres to instantly analyse customer conversations and provide real-time prompts on how to best handle calls. For instance, if the system picks up cues that an agent is struggling or a customer is becoming disgruntled, it may prompt the agent to transfer the call to a more-knowledgeable agent or supervisor. Alternatively, if the system determines that a customer seems amenable to additional products or services, it can provide the agent with a menu of cross-sell or upsell opportunities and even a suggested sales script.

All this means the improved customer experience I predicted and, perhaps, a much-needed jolt to the ACSI score and economy in general.

Is it a sure thing? I’m not going to go out on a limb, but you can bet I’ll be watching closely.

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

To find out more about Jabra, visit their website.

About Jabra

Jabra Jabra gives contact centres a powerful way to satisfy more customers. Jabra headsets are designed to fit the unique needs of all types of contact centres, who want to exceed their customers expectations and deliver a superior customer experience, whilst ensuring productivity every day.

Read other posts by Jabra

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: 28th Sep 2018 - Last modified: 2nd Oct 2018
Read more about - Industry Insights,

Recommended Articles

Supervisor with big shadow superhero
Empower Your Supervisors With Voice Technology
16 of the Best Uses for… Voice Analytics Tools
A photo of someone presenting analytics findings
A Checklist for Implementing... Speech Analytics
Get the latest exciting call centre reports, specialist whitepapers and interesting case-studies.

Choose the content that you want to receive.