How Call Analytics Can Improve the Contact Centre

As customer expectations continue to rise, call analytics has emerged as a valuable tool, providing contact centres with the ability to gain valuable insights from customer interactions.

Here, we will explore what call analytics is and how to get started, as well as key use cases that can benefit your contact centre.

What Is Call Analytics?

Call analytics is the process of collecting, analysing, and extracting actionable insights from recorded phone calls with customers.

This technology includes advanced analytics tools to gain valuable business intelligence from the wealth of data contained within these calls.

This information can include customer sentiments, agent performance, compliance adherence, and much more.

Main Components of a Call Analytics Strategy

A successful call analytics strategy encompasses several key components, including:

Data Collection – Implement call recording systems to capture customer interactions accurately.
Data Storage – Store recorded calls securely, complying with data privacy regulations.
Data Analysis – Utilize analytics tools to process and extract valuable insights from recorded calls.
Visualization – Present insights in a format that is understandable and actionable, such as dashboards and reports.
Actionable Insights – Translate data into actions, such as agent training, process improvements, or product enhancements.

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8 Use Cases for Call Analytics in the Contact Centre

Call analytics offers a wide range of use cases in the contact centre – all aimed at enhancing customer experiences, improving operational efficiency, and driving business growth.

These include:

Quality Assurance – Evaluate agent performance, identify training needs, and ensure adherence to scripting and compliance requirements.
Customer Insights – Analyse customer conversations to understand customer needs, preferences, and pain points, to enable better service offerings, marketing strategies, and more.
Call Scoring – Automate the call scoring process by selecting the most suitable calls to review.
Script Adherence – Make sure that agents follow prescribed scripts, to help drive consistent messaging and customer experiences.
Customer Retention – Identify dissatisfied customers and take immediate action to retain them.
Compliance and Risk Management – Monitor calls for compliance with regulatory standards and industry-specific requirements to mitigate risks and avoid costly fines.
Predictive Analytics – Utilize call analytics to predict customer behaviour and trends, so agents can deliver proactive responses to emerging issues.
Sales and Upselling – Identify opportunities for upselling or cross-selling by analysing customer interactions.

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Getting Started With a Call Analytics Strategy

Keen to get started with your own call analytics strategy? Here are some key steps to follow:

1. Decide Who Is Managing the Call Analytics Strategy

This can vary depending on your organization’s size and structure:

In larger contact centres, this may fall under a dedicated analytics team or a specialized department.
In smaller organizations, contact centre managers or customer experience leaders may oversee it as part of their wider role.

2. Define Objectives

Make sure to clearly state what you want to achieve with call analytics. Having clear goals helps you focus on specific outcomes, like improving customer satisfaction or making operations more efficient. It’s like creating a roadmap for your efforts, so you can get meaningful insights from your data and make informed decisions that lead to real improvements in your operation.

3. Choose the Right Tools

Select call recording and analytics software that suits your business needs and regulatory requirements.

Widely used interaction and speech analytics solutions include:

8×8
Calabrio
CallMiner
Diabolocom
Genesys
MaxContact
NICE
Scorebuddy
Talkdesk
Uniphore

4. Collect the Data

Implement a robust call recording system to capture interactions accurately. This will serve as a reliable archive of customer interactions, facilitating ongoing improvement in your organization.

This will also help you to maintain transparency and compliance, as well as better support employee training, as you regularly review interactions, identify areas for improvement, and make more informed decisions.

5. Analyse the Data

Use analytics tools to understand and learn from your recorded calls.

By turning raw data into useful information, you can find trends, spot areas that need improvement, and make better decisions – all helping you to improve customer service and make your business more efficient.

Take a look at this article for more information: Customer Data Analysis – How to Analyse Data in 7 Steps

6. Plan the Actions

After gathering these insights, it’s important to create specific strategies and actions based on what you’ve learned. This could involve improving customer service or making operations more efficient.

The key is to turn the gained insights into real changes in the organization. It’s not just about knowing what’s going on; it’s about taking clear steps to make things better and achieve your goals.

7. Ensure Continuous Improvement

By keeping a close eye on how things are going, you can figure out what’s working well and what needs to change. This ongoing process of improvement is important for adapting to new situations and making sure your strategy stays effective.

This also helps you to match the changing needs of your business. It’s about staying flexible and being ready to face different challenges and opportunities.

For more great insights and information on analytics, read these articles next:

Author: Megan Jones
Reviewed by: Jonty Pearce

Published On: 18th Dec 2023 - Last modified: 25th Jan 2024
Read more about - Technology, 8x8, Analytics, Calabrio, CallMiner, Diabolocom, Genesys, MaxContact, NICE, Scorebuddy, Speech Analytics, Talkdesk, Top Story, Uniphore