Growth
8 min read

Conversational Intelligence in Contact Centers

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Written by
Saif Naved Ahmed
Published on
August 27, 2024

What is Conversational Intelligence?

Conversational intelligence comes out as a requisite tool for any business, looking forward to deep insights into the customer and ways of improving their experience. It goes way beyond simple call recording to analyze every interaction, whether voice or text-based, understanding what is said down to sentiment, or what is behind what is said, and the needs, expectations, and desires by the customers. With conversation intelligence, you’ll know the key drivers of customer behavior and mold the outcome of any conversation.

So, what does conversation intelligence do, and how exactly can such a technology be of help to your organization? After reading this blog, you will know what conversation intelligence means, how it works, benefits derived from its usage, and what to be on the lookout for in a conversation intelligence platform.

The developed app employs artificial intelligence (AI) and machine learning in understanding every customer's touchpoints, the kind of emotions being displayed, and how they are driving the behavior of the customers. Where human ears and eyes at best could analyze two interactions at once, conversation intelligence can transcribe in succession a series of social media customer service interactions, chatbot sessions, and phone calls—and then move on to analyze that data for the presence of some keywords or their absence, what the customers say, the sentiment, and the emotion behind it. This information reveals what your customers value most and where you’re falling short of meeting their expectations.

It can monitor every voice or text-based conversation, be it phone calls or email, chat, SMS, and social media. They help to categorize, tag, score, and analyze unstructured data from conversation to structured data with the help of Conversation Intelligence. 

The Qorden platform leverages tools that automatically identify keywords and phrases, then take this data and mash it with word tempo, periods of silence and when they occur, agitation signals, and topic mapping. Those findings are goldmines in terms of information on agent performance, omnichannel contact center performance, customer satisfaction, and actionable intelligence that will drive outcomes. It has even applied automated scoring and measurements of factors such as compliance risk and customer satisfaction, real-time guidance that helps agents get conversations back on track.

What you can learn from Conversational Intelligence

The conversation intelligence helps companies in understanding the content and quality of the customer conversation. These conversations bring a plethora of information with them, including:

  • Voice of the Customer (VoC) insights
  • Previously unknown customer pain points
  • Where the customer is in the buyer’s journey
  • Feedback on products or services
  • Common questions customers ask about products and services
  • Common sales objections that prevent conversions
  • What customers think about your competition
  • Indicators of upcoming market shifts

Conversation intelligence, in this sense, allows the discovery of information that would be very difficult to obtain in traditional ways: through surveys or simple questioning. You could ask what customers think about your biggest competitor, for example, but what the honest answer is going to be is anything but what is said. So, when you can find those hidden nuggets of insight from unstructured data, you get to be the one looking behind the curtain and leverage it for your competitive advantage, closing more deals and making your customers happy.

Advantages of Conversation Intelligence

Conversation Intelligence (CI) offers a multitude of advantages to organizations, enhancing various aspects of business operations through the strategic analysis of customer interactions. Here are some of the key benefits:

  • Enhancing Survey Reliability: CI augments traditional customer satisfaction surveys by addressing challenges like survey fatigue and non-response bias. By analyzing actual conversations, it provides a more accurate and less biased understanding of customer sentiments, complementing survey data effectively.
  • Detailed Customer Journey Mapping: By monitoring all customer interactions, CI enables precise mapping of the customer journey. This comprehensive visibility allows companies to understand customer experiences at every touchpoint, facilitating more targeted improvements.
  • Improving Customer Experience (CX): CI-generated journey maps empower customer experience teams to proactively enhance CX. By identifying key interaction points, teams can implement strategies to optimize engagements and enhance overall customer satisfaction.
  • Boosting Call Center Efficiency: CI provides actionable insights into customer behavior, which helps call centers improve metrics such as first call resolution (FCR) and average handle time (AHT). These improvements lead to more efficient operation and higher customer satisfaction.
  • Driving Sales and Revenue Growth: Real-time insights provided by CI equip agents with the necessary information to influence customer interactions positively. This capability not only boosts conversions and sales but also enhances customer loyalty and overall revenue.
  • Enhancing Agent Training: CI identifies crucial conversational cues that predict the direction of customer interactions. Recognizing these signals allows for better training of agents to handle potential issues proactively and steer conversations towards positive outcomes.
  • Improving Employee Experience: CI tools enable supervisors to offer targeted coaching, which enhances agent support and effectiveness. As a result, agents experience higher job satisfaction and loyalty, contributing positively to the organizational culture.
  • Ensuring Quality Assurance and Compliance: By continuously monitoring interactions, CI helps in identifying and addressing potential compliance issues promptly. Real-time guidance ensures adherence to regulatory standards, and the insights gained aid supervisors in delivering effective compliance training.

Conversation Intelligence transforms raw data from customer interactions into actionable insights, leading to improved business outcomes across multiple domains.

Key Considerations for Selecting a Conversation Intelligence Platform

When evaluating conversation intelligence platforms, it is essential to consider a range of features and buying considerations that align with your organization's specific needs. Here are some critical aspects to look for:

Analysis of Customer Emotion: Beyond simply capturing conversations, the real value of a conversation intelligence platform lies in its ability to discern the underlying meanings and emotions conveyed through spoken and unspoken words. This depth of analysis can reveal crucial insights into customer sentiments and needs.

Omnichannel Analysis: While traditional call center analytics often focus solely on phone interactions, modern contact centers operate across multiple channels. An effective conversation intelligence platform must, therefore, support omnichannel analysis to provide a comprehensive view of customer interactions across all platforms.

Real-Time, Next-Best-Action Guidance: The ability to identify potential issues during a customer interaction is crucial, but guiding agents in real time to steer the conversation towards a positive outcome is where significant value is added. This feature helps in shaping customer interactions dynamically and effectively.

Compliance Monitoring for Industry-Specific Regulations: Compliance is a critical concern in many industries. Top-tier conversation intelligence platforms offer monitoring tools that detect non-compliance during interactions, provide real-time corrective guidance to agents, and support supervisors in targeted coaching to mitigate compliance risks.

Sales Effectiveness Features: A robust conversation intelligence solution should enhance sales effectiveness by identifying opportunities for cross-selling and up-selling, and by pinpointing behaviors that lead to successful sales outcomes. These insights help sales representatives optimize their strategies and close more deals.

Support for Operational Efficiency: The ideal conversation intelligence platform aids in enhancing operational efficiency. It should empower organizations to streamline processes, optimize training and onboarding, inform staffing decisions, and improve call center performance metrics—all contributing to a healthier bottom line.

Choosing the right conversation intelligence platform can significantly empower an organization to influence customer behavior and enhance overall performance through actionable, data-driven insights. By leveraging these platforms effectively, companies can maintain a distinct competitive edge in their respective markets.

Conversation intelligence is a formidable asset that enables organizations to influence customer behavior and enhance operational performance through actionable, data-driven insights. Companies that select and effectively utilize the appropriate conversation intelligence solutions secure a distinct competitive advantage, positioning themselves for sustained business success.

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Conclusion

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