DMG Consulting

JUNE 8, 2021

Current Status of Speech (and Text) Analytics. Interaction analytics removes the mystery from customer conversations. It gives companies access into what customers are “talking” (or writing) about and, specifically, insights into their needs and wants.

Text Analytics 107

Text Analytics Contact Center VOC Artificial Intelligence 107

VOZIQ

MARCH 19, 2021

Reston, March 17, 2021: VOZIQ, ? a leading provider of Cloud-based actionable AI software for Predictive Customer Retention to recurring revenue businesses, announced today that? Artificial Intelligence for Predictive Customer Retention? TMC recognizes VOZIQ for the third time in a row .

Machine Learning 52

Machine Learning Artificial Intelligence Text Analytics Retail 52

VOZIQ

MARCH 19, 2021

Reston, March 17, 2021: VOZIQ, ? a leading provider of Cloud-based actionable AI software for Predictive Customer Retention to recurring revenue businesses, announced today that? Artificial Intelligence for Predictive Customer Retention? TMC recognizes VOZIQ for the third time in a row. .

Machine Learning 52

Machine Learning Artificial Intelligence Text Analytics Retail 52

SurveySensum

DECEMBER 2, 2021

A good resource to go to for this information is the 2021 Satmetrix Net Promoter Benchmarks report (for US consumers). Based on the survey, the NPS benchmark was derived as under: 2021 Satmetrix Net Promoter Benchmarks report (for US consumers). Customer expectations. Text analytics. Competitive forces.

Net Promoter Score 52

Net Promoter Score NPS Text Analytics Hospitality 52

Callminer

AUGUST 6, 2019

Contact center software has evolved as customers’ expectations and needs have shifted with the rise of mobile devices and social media. Speech/text analytics. Text analytics is used to scour textual interactions (e.g., Customers expect nothing less. Analytics are the Competitive Advantage.

Contact Center 140

Contact Center VOC Social Media AI 140

SurveySensum

JULY 20, 2023

They were significantly losing out on the customers and they didn’t know what to do. Analyzing this feedback using powerful text analytics , they discovered important insights. Customers were switching to other fashion brands due to limited stock availability. 48% is almost half of your customers.

Retail 52

Retail Customer Feedback CX Social Media 52