Live Webinar
4 Ways Leading Teams Monitor CX Performance with AI
Whether you're looking to reduce churn, improve agent efficiency, or build a more data-driven CX strategy, this session will give you a clear framework to move forward confidently.
Register
Join us on March 5th at 11:00 AM ET for an exclusive webinar and discover the proactive monitoring strategies top contact centers use to protect revenue before it disappears.
In this live webinar, we’ll break down the four key CX metrics that leading contact center teams track to stay ahead of churn, friction, and dissatisfaction, before they show up on the bottom line. Using real-world benchmarks and practical examples, you’ll learn exactly what to measure, how to interpret the signals, and what actions to take when numbers start to slip.
By attending this webinar, you will learn:
- How to Drive AI-Powered Performance Insights: Leverage AI and speech analytics to automatically identify coaching opportunities, uncover customer sentiment trends, and pinpoint root causes, turning conversations into actionable insights that improve agent performance and CX.
- How to Ensure Consistent, Unbiased QA at Scale: Use AI-driven scoring to evaluate 100% of customer interactions, replacing subjective reviews with fair, consistent performance evaluations across every agent.
- How to Optimize First Response & Resolution Time: Discover benchmarks and proven approaches to improving speed and efficiency without sacrificing quality.
Can’t make it? Register anyway and we’ll send you the webinar recording.
Speaker
Jon Florence | SVP of Industry Solutions
SVP Of Industry Solutions. 15 years within the customer experience space and has spent his 20-year career in the communications space. He received his Undergraduate Degree from the University of Utah in 2008 and then went on and received his Masters of Business Administration (MBA) in 2014.
If you have any questions prior to the event, reach out to us any way you like!
+888.944.XIMA
+801.930.1800
Sales@ximasoftware.com
XimaSoftware.com
