Everyone knows that a business is nothing without its customers, with research showing that around 93% of customers are more likely to make repeat purchases from companies that offer them excellent customer service. That’s why it’s vital to never underestimate the importance of customer service.
As a result, maintaining a competitive edge in whatever sector you operate in requires excellent customer service outcomes. This is especially true in the context of a post-pandemic world, where customers have grown accustomed to an increased array of online services, and now expect simpler, faster service.
Fortunately, there are now a range of techniques and technologies that businesses can deploy within their contact centers that help to drive improvements that contribute to increased customer retention, satisfaction and loyalty.
Below, we’ll look at:
What is post-call analytics?
Post-call analytics is the utilization of artificial intelligence (AI) and language processing to gather information following customer-agent interactions that can then be used to enhance future customer service delivery. The term is often used interchangeably with a variety of others, including:
- Speech analytics
- Conversation intelligence
- Interaction analytics
- Text analytics
The emergence of this software is helping to revolutionize customer service. That’s because it is now easier than ever before to measure agent performance and uncover new trends that can improve both productivity and efficiency across a contact center.
Previously, contact center staff had to manually ‘listen in’ or ‘listen back’ ’to calls in search of actionable insights, meaning that only between 1 and 5% of calls are analyzed. These new tools, however, can automatically process call recordings and undertake effective analysis. As a result, contact centers can analyze 100% of the calls agents deal with, ensuring that insights are not missed and employees’ time is spent productively.
How can you use post-call analytics to improve customer service?
Implementing post-call analytics within your contact center can contribute to dramatic improvements in the overall customer experience your agents offer due to the wide range of benefits it can provide.
Let’s delve into the specifics of how post-call analytics can enhance your customer service outcomes.
1. Identify where improvements are needed
Any business that wants to stand out from the crowd and maintain a competitive edge needs to be proactively looking for ways they can improve. As such, it’s vital to track developments in your sector and the expectations of customers to ensure that you can:
- Keep customer engagement high
- Create high levels of customer loyalty
- Keep customer churn low
By analyzing customer calls with the help of software like post-call analytics, contact center managers and team leaders can enhance their understanding of where their customer service agents need additional support.
For example, where lapses or significant gaps in knowledge are identified, managers can proactively step in and offer relevant solutions, such as targeted training to enhance the delivery of customer service in future interactions. This approach makes it easier to build a team that is well-equipped to deliver high-quality outcomes to customers consistently.
Also, when contact centers have the ability to analyze each and every call, they can easily identify where they need to update their processes to enhance agent performance. This might include implementing new scripting best practices that drive exceptional service delivery.
2. Monitor agent wellbeing
Unhappy, unmotivated or simply burnt-out customer service agents are far less likely to deliver a quality service than those whose well-being is proactively managed.
Furthermore, recent shifts to remote and hybrid working have made monitoring the well-being of agents even more difficult for contact centers. With agents not always visible in the office, it is easy for them to slip into a negative state of mind without being noticed by team leaders.
Fortunately, beyond understanding the needs of customers, post-call analytics can help managers and team leaders gain insights into the well-being of their customer service agents. For example, this software now makes it possible to accurately determine agents’ tone of voice and track their sentiment over a prolonged period of time.
As a result, a change in agent well-being can quickly be identified. This allows managers to proactively intervene to provide support, which can come in the form of additional training to help agents with their daily workload or a more tailored approach.
This means that, by deploying these analytics capabilities, contact centers are better able to monitor and maintain the well-being of agents. Additionally, this allows them to benefit from:
- Reduced employee absenteeism
- Improved productivity rates
- Increases in employee satisfaction
- Decreased employee turnover rate.
- A reduction in costs for hiring and training new employees
3. Simplify the compliance process
Compliance is a very important part of customer service in various industries. The insurance industry claims process, for example, requires organizations to adhere to multiple regulatory protocols and simultaneously work to combat fraud.
One way that contact centers can reduce the risks associated with compliance is by establishing keywords and phrases that may imply non-compliance. By implementing intelligent call analytics software, managers and team leaders can automatically tag customer interactions whenever these keywords and phrases are used, thereby ensuring compliance protocols are adhered to. This may include instances where:
- The caller is saying the card information out loud
- Personal information is being requested when it shouldn’t be
This way, managers can ensure that their agents remain compliant throughout every customer service interaction. This serves as protection for the business and company, as well as both agents and customers.
By automating processes that ensure adherence to compliance, post-call analytics also helps improve efficiency. The time and resources saved by automating this process enables management to focus on strategic goals that drive long-term success.
Improve your customer service with post-call analytics from Creovai
Post-call analytics is a comprehensive and rigorous approach to driving improvements in customer service. However, to ensure that your contact center can benefit from all the capabilities post-call analytics has to offer, you need to identify a partner whose solution goes beyond surface-level metrics to provide meaningful insights.
Kristin Galan, a CX and Accounts Manager at BCLC, says this of her experience with Creovai: “Now that we are able to track behaviors across 100% of interactions, we can easily see and measure how our QA team, or our team leaders, and our process improvements move the needle. We can show cost reductions and value.”
At Creovai, we provide result-driven solutions for call and contact centers. We are big on customer experience, which is why we’ve optimized all our processes and strategies to support customer satisfaction. Our AI and machine learning (ML) contact center solutions improve operational efficiency, satisfy customers, and protect the general well-being of agents.
By implementing our solutions, you can benefit from post-call and live-call analytics insights. In addition to that, our services allow your contact center to enjoy:
- Insights that can improve your profitability by up to 300%
- Easy-to-use software with useful features like call quality monitoring, compliance alerts, and efficient dashboards
- Advanced scripting and real-time multilingual guidance
Underpinned by our leadership team’s decades of contact center experience, our solutions help you analyze every interaction and understand the true voice of your customers and agents. But don’t take our word for it — book a demo and see for yourself today.
FAQs
How much of our call volume can post-call analytics software actually analyze?
Unlike traditional manual monitoring methods that typically analyze only 1-5% of calls, modern post-call analytics solutions can process 100% of your customer interactions. This comprehensive coverage provides a complete picture of your contact center performance, enabling data-driven decisions based on your entire customer interaction dataset rather than small samples.
How long does it take to generate ROI from post-call analytics?
Most contact centers begin seeing measurable improvements within 30-90 days of implementation. Initial benefits often include faster identification of training needs, improved compliance monitoring, and reduced time spent on manual quality assurance. Long-term ROI comes through reduced agent turnover, decreased training costs, improved customer satisfaction scores, and targeted operational improvements that can significantly impact your bottom line.
How can post-call analytics help with agent retention and wellbeing?
Post-call analytics can monitor agent sentiment and tone patterns over time, helping managers identify signs of burnout or stress before they lead to turnover. The technology enables proactive intervention through targeted coaching, workload adjustments, or additional support. This leads to reduced absenteeism, improved job satisfaction, and lower recruitment costs--particularly valuable in today's competitive labor market.
What compliance benefits can we expect from post-call analytics?
Post-call analytics automates compliance monitoring by flagging interactions containing specific keywords, phrases, or behaviors that may indicate regulatory violations. This includes detecting when sensitive information is mishandled, required disclosures are missed, or protocols aren't followed. Automation reduces manual compliance auditing time while providing comprehensive coverage and detailed documentation for regulatory reporting.
How do we ensure successful usage of post-call analytics across our team?
Start with a clear communication strategy explaining how post-call analytics benefits both agents and customers. Involve team leaders in the implementation process, provide comprehensive training on interpreting insights, and establish clear protocols for acting on analytics findings. Focus on using insights for coaching and development rather than purely punitive measures to encourage buy-in.
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