The Ascent of Analytics at Call Centers
For decades, “analytics” at a call center consisted of reviewing recorded calls to assess outcome and agent performance. But the ascent of speech analytics solutions has taken that process to another level.
The recordings are still the same – the difference is how much information each one can reveal.
For example, what words do callers use to describe their issue? What is the tone of their voice when they explain why they are calling? By analyzing vocabulary and emotion, a speech analytics solution can improve the routing of calls to agents best suited to handle them, and provide additional insight into how products and marketing campaigns are being received.
This affects agent training as well, as once certain repeated speech patterns and word choices are identified, agents can be prepared in advance for them, and be ready to respond in a way that improves the odds of a successful outcome.
There is also a predictive quality to speech analytics that can detect where a conversation is going before it gets there. By combining data mined from previous calls from the same customer, specific word choices and tone of voice, it may be possible to mitigate an angry tirade before it starts – or detect an attempt at a fraudulent transaction before any damage is done.
And while analytics has traditionally focused on calls, the same strategy can be used for social media (now the first choice for millennials), as well as self-service and digital channels. You may not be able to sense mood from a customer’s voice this way, but contact patterns and word choice can be analyzed to determine the most appropriate next step.
Today, however, more than half of call centers lack any social media capabilities, much less the analytics that make these channels important sources of customer data.
Is it time for your call center to discover the benefits of analytics?
Verint Monet Receives 2018 CUSTOMER Magazine Workforce Optimization Innovation Award
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