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Real-Time Speech Analytics: Transforming Voice Data into Opportunities

Here is a list of benefits that show that real-time speech analytics will be a game-changer in the years to come. Download the PDF to know more.

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Real-Time Speech Analytics: Transforming Voice Data into Opportunities

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  1. Real-Time Speech Analytics: Transforming Voice Data into Opportunities Firms are aware that data is key to survive and thrive in the current business landscape. And having customer data has become a major differentiator for several companies to keep them engaged. Having the right customer data guarantee self and assisted service is impactful, cost-effective, and contextual. And real-time voice analytics is offering businesses insights about customer intentions. But while both speech and voice analytics offer insights into customer’s voices, their methods are totally different. Speech Analytics and its Relationship with Voice Analytics Speech analytics software revolves around conversations. The solutions are created to assess what was said by associates and customers, and the context behind the chat. This is accomplished by turning speech into text or via phonetic indexing. The result is a database of what customers and associates said during the chat. Speech analytics evaluates what was said in a chat, on the other hand, successful voice analytics concentrates on how it was told. Voice analytics focuses on certain qualities of a person’s voice, such as tempo, tone, and pitch to form an opinion, like gauging the customer’s mood. For instance, a customer might say “great,” but by identifying cues, a voice analytics solution can make out that the customer is in fact unhappy. The associate will get an alert on how to reply appropriately.

  2. Benefits of Real-Time Speech Analysis Real-time speech analytics is not free and involves both proper implementation and training. To be in a position to make the most of real-time speech analytics, it is important for businesses to be aware of their benefits. Here is a list of benefits that show that real-time speech analytics will be a game-changer in the years to come: Enhance Agent Engagement and Gamify Call Centers A business must not only retain customers but retain call center agents also. Attrition rates in call centers are high because of the tedious nature of the job and the trouble in measuring progress. With speech analytics, businesses can respond to this crisis by gamifying the call center experience. With real-time speech analytics, software agents will get a live scoreboard of interactions. Such clear feedback is heartening to agents. Additionally, it also creates a sense of competitiveness among agents on who performs the best in terms of positive sentiment expressed and customer satisfaction by customers. This makes an endless barrage of frenzied moments into a controlled procedure that agents can be proud of. Reduce Customer Service Response Times As speech analysis is embedded in smart decision-making engines, companies today have several alternatives to address customer issues judiciously. These systems can, for instance, listen to a person complaining about a product, comprehend its nature, and generate offers that an agent can present to the person to resolve the issue. The strength of this method is that speech analytics recognizes not just that a person is having trouble but identify exactly what he or she is objecting to. For large organizations with several service offerings products, this is vital as it can let tailored offers that match cautiously to the typical conditions. Under such circumstances, customers feel as if they are being heard. This is an ideal way to enhance brand loyalty. Boost Customer Recruitment and Retention Retaining customers is key to expanding your base, but companies can lose them during a phone chat, and it can take place instantly. Tools that can possibly prevent this from happening are very useful, and speech analytics software must be pivotal to this mission. The objective is to empower agents to immediately spot warning signs and act appropriately. Even if companies today realize the importance of customer’s voices, most of them react to negative sentiment only on an individual basis. The more effective approach is to use real-time speech analytics to execute preemptive modeling and diagnostic tools to make sense of customer data and act before the customer gets upset. Today agents have access to a large amount of customer data. Combined with AI, voice and speech analytics, it is possible for associates to offer callers with the right information in a timely manner and foresee customer’s reactions. There are many text, voice, and speech analytics tools to pick from, the best ones are inconspicuous. They let associates concentrate on what they do best, thereby keeping customers in the conversation.

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