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What Is Experience Analytics?  

Customer Experience analytics in contact centers is the use of advanced data analysis technologies to monitor, assess, and improve the overall customer experience. Contact centers use customer interactions, feedback, and performance data to glean insights into customer sentiment, behavior, and satisfaction. By tracking customer experience analytics, contact centers can optimize their operations and service delivery – ensuring a positive customer experience and improving their competitive advantage.  

 

Benefits of Experience Analytics 

There are numerous benefits for contact centers to track traditional and digital experience analytics:  

  • Enhances customer satisfaction by identifying areas for improvement 

  • Improves agent performance via real-time feedback and coaching opportunities  

  • Increases operational efficiency by identifying trends in call center operations 

  • Enables early detection of potential service problems 

  • Supports better business strategies from detailed insights into customer expectations 

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Cloud-Based Agility

Moving to the cloud will allow for faster, easier deployments, seamless upgrades, flexible scalability, and reduced capital expenditures associated with on-premises systems.

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Connected Journeys

The contact center should support customer journeys across web chat and social messaging apps like Facebook Messenger, WhatsApp, and others.

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Omnichannel Unification

Shoppers will be coming in from many different channels, so it will streamline the customer experience to route interactions using the same logic.

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Customer Context

Agents must begin the conversation right where the customer left off online. When the customer’s needs are transferred to an agent in real time, your brand is creating a seamless transition from web to contact center. Remove customer stress, unneeded customer repetition, wasted time, and deliver a world-class customer experience

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CRM 
Integration

Customer relationship management (CRM) system integration can improve the shopper experience by using CRM data to find the last person spoken to, use shopper purchase history to find the best expert, etc. In addition, once the connection occurs, your staff can access past interaction history and CRM information to understand the customer’s journey and deliver a more personalized experience.

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Artificial Intelligence (AI)

AI can deliver next- best-action recommendations and assist in responses that will improve conversion rates, increase shopping cart value, and speed up responses.

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Real-Time Management

Supervisors should monitor messaging interactions in real time and assist if needed, even if they are not in the same location.

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AI & PCI Compliance

Intelligent virtual agents (IVAs) can automate payment processing across digital channels and reduce your compliance risk by collecting sensitive customer data without revealing it to a human agent. Make sure that the IVAs can easily integrate with your payment gateways.
 

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