Wireless Customer Care Satisfaction Declines as Staff Turnover Rises, J.D. Power Finds
T-Mobile, Cricket and Consumer Cellular Rank Highest in Respective Segments
As wireless customers seek assistance from phone, store and website representatives, they are experiencing the negative effects of ongoing staff turnover. Longer wait times, lack of representative knowledge and less concern for the customer’s needs are causing a decline in satisfaction, according to the J.D. Power 2022 U.S. Wireless Customer Care StudySM—Volume 2, released .
Latest Aithority Insights: Detecting, Addressing and Debunking the Hidden AI Biases
“Wireless carriers are continuing to build award-winning customer care representatives in the aftermath of the pandemic”
“Wireless carriers are continuing to build award-winning customer care representatives in the aftermath of the pandemic,” said Ian Greenblatt, managing director at J.D. Power. “However, the process does take time—both to find the right people and to prepare them with training, knowledge and empathy. We’re seeing this in satisfaction scores for assisted wireless customer care, which is lower among store, phone and website channels in this volume of the study versus the most recent.”
AI and ML News: AI: Continuing the Chase for Brain-Level Efficiency
Study Rankings
T-Mobile ranks highest in the mobile network operators segment with a score of 816.
Cricket ranks highest in the mobile virtual network operators segment with a score of 824. Metro by T-Mobile (819) ranks second.
Consumer Cellular ranks highest in the value mobile virtual network operators segment with a score of 849.
The 2022 U.S. Wireless Customer Care Study—Volume 2 is based on responses from 15,986 customers who contacted their carrier’s customer care department within the past three months. The studies evaluate customer care experiences across six factors: store service; phone service; website service; app service; social media service; and text service. The studies were fielded from January through June 2022.
AI ML in Marketing: AI and Big Data Analysis Used to Find Brands’ Emotional Connection
[To share your insights with us, please write to sghosh@martechseries.com]
Comments are closed.