Frame AI Blog

The stakes for customer experience are only getting higher. According to Zendesk, 61% of customers would now defect to a competitor after just one bad experience. That’s a 22% jump from the previous year. Make it two negative experiences, and 76% of customers are ready to say goodbye.

For many companies, Support interactions represent a precious few opportunities to develop a human connection with customers - and it’s critical to set the right tone with what you say and do.

We recently shared 5 data-backed tips for what to say in Support interactions. Here, we highlight 5 everyday actions Support agents take that can make a world of difference. We analyzed millions of Support cases to examine their impact on everything from customer satisfaction to case re-open rates. Here are 5 things that customer whisperers *do. *

Happy customers tend to stick around, grow, and publicly advocate for your business. Unhappy customers often churn and can deter others from doing business with you. According to Temkin, after a poor experience, 22% of customers reduced spend and 19% terminated their relationship with the company entirely. According to Zendesk, 54% of customers share bad experiences with more than five people. It’s impossible to overstate the value of customer advocacy and the cost of vocal detractors.

Last week, we were excited to contribute to the conversation at CCW Digital’s online conference, Customer Experience Challenges, Trends, and Innovations. In case you missed it, we’ve recapped our session, Getting to Frictionless CX, below. Our session featured Dexter Horthy, VP Customer Success & Solution Engineering at Replicated, Frame AI CEO & Co-Founder George Davis, and Matt Wujciak, Market Research Analyst at Customer Management Practice.

Themes = What Makes and Breaks CX

Understanding the themes that drive customer experience enables CX teams to explain changes in customer sentiment and effort, and ultimately, business outcomes. It helps them achieve goals like improving outcomes, finding early warning signals to get ahead of customer expectations, and testing hypotheses about how to improve.

Sentiment analysis has become quite the buzzword in the CX community, and with good reason. It’s never been more important to understand customer sentiment, and failing to do so brings unfortunate consequences.

Artificial Intelligence (AI) is transforming many industries, and many CX teams are navigating mandates to incorporate it into their strategies. But let’s face it — today, most of the ways we use AI in CX are pointed at our teams and customers, not with them. Consider the following scene: