Culture Customer Voice Effort Score Technology 
Lumoa
FEBRUARY 9, 2023
According to Finance Digest , 95% of customer interactions will be managed with AI by 2025. The most important AI technologies, that are relevant for analyzing customer feedback, fall in the area of natural language processing (NLP) and machine learning. Why are your customers turning away from you?
CloudCherry
JANUARY 21, 2020
The good news is that most companies recognize the value of VoC and have taken the first steps into collecting open-ended feedback from customers. As KPMG notes, “Any approach to listening to the customer voice is better than not listening to it.” The bad news? Level 3: State of The Art.
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GetFeedback
MAY 9, 2019
Two customers can view the same experience in completely different ways due to many factors that influence their interpretation of events — their upbringing, cultural background, motivations, and much more. That’s why most companies struggle to meet the expectations of their customers.
Customer Bliss
APRIL 27, 2018
Are some measuring customer satisfaction, some measuring customer effort scores, and some measuring NPS? Know the options available to gain customer insight in addition to customer surveys. For example, is “humanizing” research part of your effort to understand customers’ lives?
PeopleMetrics
FEBRUARY 25, 2022
The field of customer experience is constantly evolving alongside the broader business environment. Here are a few trends we're seeing : Increased investments in AI technology, like text analytics and automated service recovery, to streamline elements of the CX process. More touchpoints for actively improving customer experiences.
Happy or Not
NOVEMBER 1, 2023
CES (Customer Effort Score) is a vital index in the world of customer experience. When interacting with a company, it quantifies customers’ efforts to resolve their issues or accomplish their goals. Yes, cultural and regional differences can impact the interpretation of satisfaction indices like NPS.
Lumoa
MARCH 20, 2018
According to Accenture , 85% of customer interactions will be managed with AI by 2020. The most important AI technologies relevant for analyzing customer feedback fall in the area of natural language processing (NLP) and machine learning. Both groups of technologies can be utilized to make analytics more actionable.
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