How to Analyse Call Centre Data to Improve Efficiency

min read
How to Analyse Call Centre Data to Improve Efficiency

The call centre experience can make all the difference in a business earning a sale or retaining a customer relationship. During the COVID-19 pandemic, call centres have become even more of a critical lifeline for customers to connect with friendly, helpful, knowledgeable agents who can address their questions and concerns, help resolve their billing problems and delivery issues, and help them complete purchases.

It’s never been more crucial for companies to ensure their call centres — and their call centre teams — are operating at an optimal level of efficiency. But call centres are also cost centres, and they can be complicated to set up and run. They demand a lot of technology, both hardware and software, and a reliable and extensive phone system.

Contact centre technology is changing rapidly, too, as many are moving away from on-premises solutions to cloud-based “contact centre as a service” or CCaaS software as many shifted to using remote agents during the pandemic. Ultimately, this will be a cost-saver, but significant initial investments had to be made.

Centres have the potential to deliver impressive ROI. That is if they are backed by call centre improvement strategies that help drive efficiency and improve productivity, while also enhancing the customer experience.

Where to start? You can begin by tapping into one of your call centre’s richest resources: its ever-growing volumes of conversation data.

How Do You Analyse Data in a Call Centre?

Obviously, manually listening to phone calls isn’t a viable strategy to capture call centre data. It’s costly, prone to human error, and difficult to scale. That’s where conversation intelligence solutions like Invoca come into play — they solve this issue by automatically recording, transcribing, and analyzing every phone call. This gives you full visibility into every contact centre interaction. 

Conversation intelligence solutions also have AI-powered analytics to help you understand when important actions occur on the call. This can be an appointment set, quote given, a specific product mention, if a sale occurred, or anything else that may signal that a high-value transaction has taken place. On the flipside, you can also automatically detect if it was a low-value call, such as someone landing in the sales centre for customer service issues or calling for basic information like directions. This makes it easy to understand performance at scale, without having to dig into every call transcript.

The Most Important Types of Call Centre Data

Call centres generate massive amounts of data. By tapping into these rich data sources, you can gain valuable insights into customer behavior, agent performance, and overall contact centre effectiveness. Here are five key call centre data sources that can be analysed to improve your operations:

  • Speech Analytics: The average call centre generates thousands of minutes of call recordings. Reviewing them manually, obviously, is insurmountable, which is why many companies use AI to analyse the conversations at scale and identify trends.
  • Sentiment Analysis: Text from chats, emails, surveys, and even speech recordings can be analysed to understand customer sentiment (positive, negative, neutral). Delving into sentiment also helps identify customer satisfaction trends, areas causing frustration, and opportunities to improve the customer experience.
  • Text Analytics: Analyzing the text content of chats, SMS conversations, and surveys allows you to understand the topics customers are contacting you about, the language they use, and any recurring issues. This will shed light on areas where self-service options could be improved, FAQs could be updated, or agent training could be adjusted.
  • Interaction Analytics: Untangling the web of calls, chats, emails, and social media interactions paints a complete picture of how customers interact with your business. It reveals typical customer journeys, highlights any pain points they encounter across different channels, and ultimately helps you streamline the entire customer journey.
  • Predictive Analytics: By crunching the numbers on past calls, you can spot trends that forecast incoming call volume, the types of questions customers will have, and even when they might be at risk of leaving. This foresight allows you to staff accordingly, proactively address potential issues, and tailor marketing campaigns to keep customers happy.
  • Call Volume & Traffic Patterns: Digging into call patterns throughout the day and week reveals peak times. By understanding these busy periods, you can adjust staffing to ensure your team is ready to tackle the influx of calls. This proactive approach keeps your service levels top-notch and avoids frustrating wait times for customers.

5 Reasons Why It’s Important to Analyse Call Centre Data

Your call centre is a bustling hub of customer interactions. But what can you learn from all those calls? Here are 5 reasons why analyzing call centre data is the key to unlocking your customer insights:

Reason 1: Gain Deep Insights Into Your Customers

The number of employees staffing a call centre varies, depending on the size and nature of the company. A Fortune 100 company, for example, can have anywhere from 25,000 to 40,000 customer service reps working in multiple call centres. These reps are expected to handle 50 or so calls per day, and the average call duration is four minutes. 

That’s a lot of call time. And those interactions generate a massive amount of valuable data related to call centre efficiency — from average call duration to pick-up times. Most call centre operators collect and store this data. But usually, when they review that data, they’re only scratching the surface of what they could do with it.

They may use their call data to count the number of calls received, assemble demographics, and measure key performance indicators (KPIs) relevant to their call centre or a particular department within it. Some may even analyse call data to track quality control, and then use the findings to train agents. But often, that’s as far as they go. 

If you’re not digging deeper into conversation data, your business is missing a tremendous opportunity to create data-driven call centre improvement strategies that can elevate call centre performance. And there’s a new set of tech stack tools built on advances in artificial intelligence (AI) that are opening the door to even greater insight into call centre operations — and paving the way for efficiencies and potential cost reductions. Invoca’s AI-powered conversation intelligence solutions are among them.

Reason 2: Reduce Call Centre Costs

With Invoca’s AI call centre technology, you can unearth previously unknown inefficiencies in your call centre operations. For example, with a simple, predictive analysis of call volume trends, you can gain immediate insight into what times of the day, or night, your call centre requires maximum staffing and at what times you need fewer agents on hand. 

The same goes for days of the week (e.g., Do we need more or fewer staff in the call centre on Fridays, when weekly workers are paid?) and public holidays (e.g., How many staff do we really need in the call centre on July 4 or Christmas Day?). This type of predictive analysis of call data can help call centre managers adjust staffing and payroll optimally to drive cost savings.

More strategic staffing strategies for the call centre is just one way to drive efficiency. Routing calls efficiently to reduce transfer rates keeps agents on the phone with customers and reduces the time they spend handling calls. An independent research report shows that Invoca can reduce transfer rates by 90%. 

Improving agent performance through targeted coaching is another. And Invoca’s Active Conversation Intelligence platform can be an important tool for identifying specific areas where individual team members can improve their skills. 

Reason 3: Empower Your Agents With Knowledge

Call centre data isn't just for managers; it assists with agent development too. Analyzing information about frequently asked questions or common customer frustrations can help identify knowledge gaps and educate training programs. Equipping agents with the right information empowers them to resolve issues efficiently and deliver a smoother customer experience.

Reason 4: Identify and Address Customer Pain Points

Imagine being able to pinpoint the exact areas causing customer dissatisfaction from your call data. Analyzing call recordings and sentiment scores can reveal recurring problems or pain points customers bring up. By understanding these frustrations, you can identify areas for improvement and implement solutions that directly address customer needs. This proactive approach leads to happier customers and a more positive brand image.

Reason 5: Make Data-Driven Decisions for More Efficient Operations

Stop relying on guesswork and hunches! Call centre data provides concrete evidence to support informed decision-making. You can analyse trends in call volume to optimise scheduling and staffing levels, ensuring you have the right resources available when customers need them. Data can also highlight areas for process improvement, helping your managers to streamline workflows and reduce call handling times. Ultimately, analyzing call centre data empowers you to make strategic decisions that enhance overall call centre efficiency and effectiveness.

How Analyzing Call Centre Data Can Help You Improve Efficiency

Let’s dive into some actionable tips you can take right now to analyse your contact centre data more effectively and drive concrete results.

1. Use Conversation Intelligence to Automate QA

If you’re like most companies, you’re using a manual QA process to track your sales agents’ performance. There are many flaws to this approach — manually listening to calls is expensive, time-consuming, and fraught with human error. In addition, your QA team (or team of one) is only able to listen to a small sample of your agents’ calls, which may not be a reliable indicator of total performance. They may have caught some of your best agents on their worst days or vice versa. 

Enter Invoca, which uses AI to automatically and objectively score agent performance on every call. With Invoca, you can easily pinpoint each agent’s strengths, weaknesses, and areas for improvement.

No two sales organizations are the same — that’s why Invoca allows you to set your own unique criteria to score sales agent success. For example, you may want your sales agents to start with a greeting script, mention an upcoming promotion, and then ask the caller to schedule an appointment. The call scorecard uses AI to automatically detect which of these criteria are met on each call and assign a corresponding score.

2. Use Conversation Intelligence for Agent Coaching

Agent coaching used to involve listening to hundreds of sales calls manually or literally standing over the shoulder of agents and listening to what they’re saying. Now that many call centres are fully remote, you can’t just stand there and listen, and spending days listening to call recordings is not an efficient use of your time. 

By using a conversation intelligence platform like Invoca, you can automate much of the process of listening to calls and identifying coaching opportunities. By using AI-powered speech analytics, Invoca can recognise any phrase or keywords that you want to look for that could signal an important conversation or moment in a call.

With Invoca, you can quickly understand the reasons for poor customer experience, and easily identify which agents need further coaching. In addition, you can enable your agents to listen to their own calls so they can review their conversations and hear for themselves what did or did not go well. You can also use in-platform commenting to give your agents feedback they can act on immediately. 

For example, you may learn that an agent has been mishandling customer requests for offer matching because the agent is unaware that your company is willing to flex on deals of a certain size. So, they’ve been standing firm on the company’s advertised offer — and losing sales. Once you are aware of this misstep, the agent’s supervisor can step in to provide relevant training to that agent. Then, the next time the agent gets an offer-matching request from a customer, they’ll know exactly what to do to earn the sale.

Invoca conversation intelligence can surface best practices in the call centre, too. All agents can learn from colleagues who consistently earn high call scores, successfully handle customers’ objections, and help the business close sales. With Invoca, you can pinpoint what those agents are doing right, and make sure it’s shared across the team. You can highlight information from call transcripts and even share specific snippets from call recordings when coaching reps to improve their skills. You can also use that type of information to train new team members faster and more effectively. Additionally, if you have multiple locations or call centres, you can quantify and track sales and missed opportunities across locations, learn from the highest performers, and incentify performance across stores, locations, and individual agents. 

And, by calling attention to the efforts of high performers in your call centre, you can ensure those employees get the recognition they deserve. That can help you to increase retention of your best people and prevent costly churn.

3. Use Data to Find and Fix Root Causes for Inefficient Call Centre Processes

As your business learns how to analyse call centre data with conversation intelligence solutions, you can start drilling down on the “why” behind identified inefficiencies, and even solve problems you didn’t know existed. Take the case of CHG Healthcare, which initially deployed Invoca to provide clearer attribution to its digital marketing campaigns. 

Once it achieved its core objective, the healthcare system used Invoca to analyse its call traffic further, and found that divisions within the call centre had vastly different pick-up rates for incoming calls. One division was answering calls less than 20% of the time, while another was handling 70% of its calls. The more responsive division saw more calls turn into conversions, while calls going to the other division’s voicemail system were rarely converted. 

Analysis of call data with Invoca showed the difference in pick-up rates was due to the way incoming calls were being routed at both divisions — to a live agent vs. a voicemail inbox. Once the issue was identified, the fix was easily made. And the connection rates at the division previously answering fewer calls increased by 50% which, in turn, increased conversion rates.

4. Reduce Unnecessary Service Calls

The Invoca Active Conversation Intelligence platform can also help make call centre operations more efficient by reducing the volume of unwanted service calls. Call centre operations want to provide great customer service, but the primary goal is often to enable agents to spend more time fielding calls that can be converted to sales.

Too often, customers will pick up the phone to connect with customer service because they have a basic question they couldn’t answer through a quick internet search. Maybe they’re looking for information about business hours or locations, for example — details that should reside in an easy-to-find FAQ section or knowledge centre on the company’s website.

Invoca helped one call centre manager address this issue by using Signal AI speech analytics technology to analyse the content of calls coming into the contact centre against information available to the public on the company’s website. After analyzing the call data, Invoca pointed the business toward a way to use its website to provide commonly sought-after information so that customers would be less likely to call customer service directly. 

Ultimately, this simple but critical change led to a 20% reduction in unwanted inbound calls to the company’s call centre, freeing agents to focus more on higher-value calls and be more productive.

5. Create Call Routing Efficiencies in Real Time

Insights from speech analytics can also help businesses ensure their call centres are routing calls to the right places. This not only helps to smooth the customer experience, but it also can drive a higher first call resolution (FCR) rate. And it creates more opportunities for call centre agents to convert customer service calls to sales. 

Invoca helped a major financial institution drive more sales-related activity following an analysis of the bank’s inbound call routing. The analysis found that customers calling the financial institution were often being transferred to the wrong department or individual, and weren’t getting the assistance they needed. Following analysis of call data with Invoca, the bank streamlined its inbound call routing process so its customers would experience fewer phone transfers. That helped increase the bank’s call centre efficiency by two-thirds.

That’s not all: Ongoing call tracking and analysis of the bank’s inbound calls with Invoca showed that, as a result of its data-driven call centre improvement strategies, it saw a 50% reduction in cost per conversion and increased call centre efficiency by 60%.

6. Deliver a More Customised Experience for Callers 

Because it’s powered by AI, Invoca’s conversation intelligence platform doesn’t just analyse data and suggest improvements after the fact. It can operate in real time, using intelligent call routing and contextual data to direct calls appropriately, so that the customer experience is improved and the opportunity for conversions is greater.

For example, if an e-commerce customer dials into the retailer’s call centre because they don’t want to put certain information into an online form at checkout, Invoca’s call tracking can route the caller to the best department to handle that issue. By tailoring the experience to meet the customer’s specific needs, the e-commerce retailer is then better positioned to make the sale.

Invoca enables that customised experience, in part, by offering the designated call centre agent a brief, system-generated audio clip from the inbound call. That clip provides the agent with more background on the nature of the call, so they know precisely how to assist the customer before they even enter the discussion.

Eliminate Call Centre and Marketing Silos with Invoca

All the benefits and strategies outlined above can improve quality in call centre operations and enhance agent productivity, as well as help to drive efficiency and reduce costs. One of the most significant benefits of using Invoca in the call centre, though, is the connectivity it can promote between the call centre and the marketing department.

These functions tend to operate in their own silos, but increased information-sharing between the call centre and marketing can create bottom-line benefits for the business. The data and insight marketing professionals can glean by using Invoca to analyse inbound calls can be extremely valuable in shaping and refining the company’s marketing strategies. Invoca’s specialised algorithms understand the motivations of each call: intent, outcomes and decisions made. And every conversation can be connected to a customer’s digital journey. By working closely with marketing, call centres can get more high-value calls by making sure that ad campaigns are driving sales calls, not service calls.

Invoca’s AI-powered conversation intelligence technology also enables the call centre to provide more value to the business. Call centre managers can use insights from Invoca to help agents deliver more personalised service to customers and improve the FCR rate, while also finding more time and opportunity to turn customer service calls into sales.

Want to learn more about how Invoca can help you analyse your call centre data to drive business results? Request your personalised demo of the platform to see it in action!

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