How Voice Analytics Can Improve Your Customer Service

Author: Chris Robinson | Date: 2020/06/24

In our last blog we discussed how to drive greater efficiencies across your call centre and touched upon the importance of transforming your customer experience (CX) through voice analytics. We’re not the only ones who recognise on the importance on how to improve customer service. According to the research firm, Technavio, the global voice and speech analytics market is poised to grow by USD 2.17 billion during 2019-2023, progressing at a CAGR of almost 18% during the forecast period.

The difference between Voice Analytics (VA) and Speech Analytics (SA)

One of the key highlights from this research is the ability voice analytics (VA) and Interaction analytics (IA)  will give organisations adapting to rising trends and changes in consumer behaviour. Consumers have had to adapt rapidly this year, and many will be more au fait with technology as a result. That familiarisation will result in a greater level of expectations so how can voice analytics help you to stay across your customers’ demands?

The first advantage of voice analytics is the ability to better understand a customer’s perspective through their voice and tone. The pitch, loudness, timbre, speech rate and pauses in a customer’s voice will help you to analyse and assess whether a conversation is proving to be a positive, or negative, experience for them. What’s more this will be a two-way conversation so you can also measure your agent’s tone of voice too. This insight will help you to understand how they are feeling during a conversation, while at the same time measuring sentiment based on the words used.

Why is Customer Experience One of the Key Drivers Behind a Successful Call Centre?

Businesses are starting to realise how important their customer experience (CX) is, therefore embracing the technology to help them stay ahead of customer expectations is a no brainer. Apparently, 96% of American businesses close their doors within 10 years (of being established) and a contributing factor to that is poor customer needs analysis. Making sure your customers don’t have a negative experience or equipping your agents to transform a customer problem into a positive conversation is business-critical.

Voice analytics not only helps to take the heat out of a tricky situation but because it provides data you and your team can use these insights to reduce call times and repeat calls helping to reduce customer churn and improve the quality of their experience. As Gartner recently highlighted 94% of customers with low-effort interactions intend to repurchase compared with 4% of those experiencing high effort.

Accelerate your Business Performance

So, if you’re new to this technology you may want to find out more about how we utilise a combination of language analytics and behavioural analytics such as topic modelling, natural language processing (NLP) through to acoustics and vocal emotion detection to create greater insight into your agent and customer conversations.

From there we extract actionable insights – areas where you can introduce quick changes to improve agents’ performance while analysing calls to help them to identify complains. Ensuring that you’re both compliant and able to react to vulnerable customers means that you can rapidly transform your CX. And what’s important is that with embedded machine learning you can continue to learn and therefore adapt to your customers ever-changing needs. Consumers don’t stand still and in the land of call centre technology nor should you.