ECXO

JUNE 11, 2024

A Comprehensive Analysis of AI’s Impact on the Employee Experience by Ricardo Saltz Gulko As we have explored, AI is fundamentally transforming the employee experience, touching every aspect from recruitment and onboarding to learning, development, and day-to-day engagement. However, the path forward is not without its challenges.

Sentiment Analysis 334

Sentiment Analysis AI Predictive Analytics Machine Learning 334

ECXO

AUGUST 12, 2024

Marketing technology (MarTech) is at the heart of this evolution, integrating data, automating processes, and enabling personalized, real-time customer interactions. These platforms facilitate real-time sentiment analysis and predictive analytics, enabling proactive improvements in customer satisfaction.

Customer Experience 366

Customer Experience Social Media Predictive Analytics Machine Learning 366

Lumoa

DECEMBER 19, 2023

The secret lies in the capabilities of AI and its proficiency in conducting sentiment analysis. In this article, we’ll explore five innovative and creative ways to leverage AI for sentiment analysis. However, this manual sentiment analysis has its limitations and challenges.

Sentiment Analysis 78

Sentiment Analysis AI Machine Learning Social Media 78

eglobalis

JULY 31, 2024

Marketing technology (MarTech) is pivotal in enhancing CX by integrating data, automating processes, and enabling personalized interactions sometimes in real-time. Virtual and Augmented Reality (VR/AR) VR and AR technologies, used by platforms like Unity and ARKit, create immersive and interactive experiences for customers.

Customer Experience 378

Customer Experience Social Media Predictive Analytics AI 378

Lumoa

MAY 9, 2023

By leveraging sentiment analysis on customer feedback, businesses can understand and dig deep into the emotions of their customers, allowing them to identify and address pressing concerns, and fine-tune their products and services. You may be wondering how sentiment analysis can truly make a difference in your organization.

Sentiment Analysis 78

Sentiment Analysis Customer Feedback Customer Experience Actionable Insights 78

ECXO

APRIL 10, 2024

Emotional AI and Sentiment Analysis: Utilize advanced technologies such as emotional AI and sentiment analysis to automatically detect and analyze the emotional frequencies in customer data. Leverage data and technology to offer personalized recommendations, customized experiences, and tailored communication.

CX 334

CX Customer Experience Social Media Sentiment Analysis 334

eglobalis

JULY 2, 2024

Comprehensive feedback from multiple sources, integrating Voice of the Customer (VOC), metrics, measurements, data analytics, real-time sentiment analysis, and evolving AI developments, is essential for gaining a complete customer understanding.

NPS 424

NPS Customer Feedback Net Promoter Score B2C 424

Customer Think

OCTOBER 10, 2023

Social media platforms have become the epicenter of communication, opinion-sharing, and customer interaction. With millions of users expressing their thoughts and feelings on various topics every day, social media has evolved into a treasure trove of unfiltered, real-time data.

Social Media 121

Social Media Sentiment Analysis AI Technology 121

Fonolo

FEBRUARY 16, 2021

Contact center technology has come a long way since its early years as a jury-rigged air traffic control system. The pandemic has hastened many call center trends and compounded technological developments. Here are the latest and greatest call center technologies: AI-Powered Voice Biometrics & Analysis. Voice-to-Text.

Technology 134

Technology Technology Contact Center Sentiment Analysis 134

Execs In The Know

AUGUST 12, 2024

Keeping up with current technological advancements in the ever-evolving world of CX is both a challenge and a necessity. Sentiment analysis offers a practical way for businesses to monitor and respond to customer emotions within seconds. What Is Sentiment Analysis?

Sentiment Analysis 52

Sentiment Analysis CX AI Machine Learning 52

Zonka Feedback

OCTOBER 25, 2023

Introducing customer sentiment analysis - a window into the innermost thoughts of the customer. But what exactly, is sentiment analysis, and more importantly, how it can boost customer experiences? TL;DR Customer sentiment analysis enables businesses to understand their customer's thoughts.

Sentiment Analysis 59

Sentiment Analysis Machine Learning Social Media Customer Feedback 59

Callminer

MARCH 2, 2020

Improvement strategies targeting everything from internal business operations to technological integrations can have a powerful effect on your first call resolution rate. Technology Ideas. To help you sort through the noise, we have put together some helpful ideas below.

Sentiment Analysis 291

Sentiment Analysis Customer Satisfaction Start-ups Technology 291

PeopleMetrics

JANUARY 16, 2025

Sentiment Analysis (Happening) AI-powered sentiment analysis helps companies gauge customer emotions through unstructured data (open ended comments) across feedback channels. These programs flag issues from unstructured customer feedback and summarize key themes and sentiment in real-time.

AI 71

AI VOC Sentiment Analysis E-commerce 71

TeamSupport

FEBRUARY 8, 2019

As more customer service software solutions are placing an emphasis on sentiment, it should come as no surprise that companies are looking to leverage this “hidden code” in communication to work smarter and more efficiently. This is an excellent way for customer service teams to save time with AI technology.

Sentiment Analysis 49

Sentiment Analysis B2B Customer Service Technology 49

SugarCRM

NOVEMBER 2, 2021

Our society experiences an empathy deficit due to cultural and environmental factors, so introducing sentiment analysis software to register positive and negative feelings might be the new challenge. Sentiment Analysis and the Sugar Platform. The future of sentiment analysis is encouraging. Closing Thoughts.

Sentiment Analysis 46

Sentiment Analysis Customer Service Customer Satisfaction Omnichannel 46

TeamSupport

JUNE 29, 2020

By utilizing the many tools available—and more technologically advanced than ever—B2B companies are able to gauge how their customers are feeling and how satisfied, or not, that they actually are. The simplest type of algorithm uses a dictionary to look up which words or phrases indicate which sentiment. Find out in Part 2.

Sentiment Analysis 59

Sentiment Analysis B2B Machine Learning B2C 59

TeamSupport

JULY 1, 2020

Part 1 of this blog series explored the meanings of and differences between customer sentiment analysis and Customer Distress Index (CDI™)— customer sentiment analysis uses text to indicate a positive or negative tone to the communication and the TeamSupport CDI uses data to indicate whether a customer may be satisfied or frustrated.

Sentiment Analysis 59

Sentiment Analysis B2B Contact Center Customer Satisfaction 59

Execs In The Know

NOVEMBER 6, 2024

Additionally, DataScribe’s capabilities include real-time sentiment analysis that gauges customer emotions as they shift during the conversation. This sentiment-tracking feature identifies trends in customer mood—whether positive or negative—and provides context for follow-up interactions.

Customer Retention 52

Customer Retention Sentiment Analysis Contact Center Compliance 52

Callminer

APRIL 20, 2018

As a CX leader, you also need to know which technologies will help you achieve your core objectives in managing the customer experience. This post will help you zero-in on those technologies and best practices proven to produce results. Adopt Technologies That Align with Your Customers’ Expectations.

Contact Center 186

Contact Center Customer Experience Machine Learning Artificial Intelligence 186

CSAT.AI

OCTOBER 19, 2022

This is a powerful customer service technology in multiple ways. Sentiment Analysis. Sentiment analysis is parsing customer responses and actions to understand how they feel. Accurately assessing customer sentiment helps companies course correct providing customers better products and better service.

Sentiment Analysis 108

Sentiment Analysis Customer Service Machine Learning AI 108

Callminer

MAY 27, 2020

Although contact centers tend to lead the pack with powerful software integrations and assistive technology, call centers have not been left behind. Call centers stick to telephone-based communication, while contact centers branch out into other mediums where applicable.

Contact Center 207

Contact Center Sentiment Analysis Machine Learning AI 207

Fonolo

JANUARY 12, 2023

When customers do connect with an agent, in-call sentiment analysis can decode customers’ emotions and offer in-call prompts, supporting agents, and improving metrics like first call resolution. Sentiment Analysis. Sentiment Analysis. Tools that personalize CX. Conversational AI (Chatbots).

Artificial Intelligence 138

Artificial Intelligence Contact Center Sentiment Analysis AI 138

SurveySensum

MARCH 3, 2025

Social media text analytics is the process of analyzing text-based data from social media platforms using technologies like NLP, machine learning, and AI to extract meaningful insights. This process helps you understand brand mentions, customer sentiments, emerging trends, and competitor strategies. Lets find out!

Text Analytics 52

Text Analytics Social Media Sentiment Analysis AI 52

CSAT.AI

NOVEMBER 17, 2022

Automation covers technologies across many processes and fields. In regard to customer service it’s using technologies instead of people to accomplish both customer facing and back end tasks. Of course, technology is only as good as the humans that create it and the data it’s given. QA can be performed entirely by technology.

Customer Service 127

Customer Service Sentiment Analysis Contact Center AI 127

Customer Think

APRIL 18, 2023

The internet never closes, even if your physical locations do. While employees might shut off the lights and lock the doors at the end of a long day, consumers and potential consumers engage with your brand online 24/7 — posting and reading reviews about your brand’s CX — the great, the so-so, and the downright […]

Sentiment Analysis 64

Sentiment Analysis CX AI Technology 64

Fonolo

MARCH 16, 2023

Industry experts are excited about sentiment analysis, which is a score that reflects a customer’s feelings about the customer service they’ve received. Tom Laird, CEO, Expivia Interaction Marketing Group: In 2023, we are looking at real-time agent assist and real-time sentiment scoring.

Contact Center 151

Contact Center Sentiment Analysis NPS Customer Satisfaction 151

Fonolo

MARCH 2, 2023

Word: Contact centers are technology leaders! While the world was pivoting from on-site to hybrid and remote workspaces, contact centers were also embracing cloud technology and upskilling agents to be among the first-generation of AI-native workers. And not a moment too soon. Customers love it.

Contact Center 141

Contact Center Artificial Intelligence Sentiment Analysis AI 141

Comm100

DECEMBER 16, 2024

Over the years, customer service has undergone a dramatic transformation, driven by rapid advancements in technology. But as automation becomes a cornerstone of customer service, a pressing question emerges: Is it possible to balance the efficiency of technology with the human connection that customers still crave?

Customer Service 52

Customer Service Sentiment Analysis AI Social Media 52

SurveySensum

JANUARY 16, 2025

The solution works best for industries like Education, Healthcare software, Technology, Retail , Financial Services, B2B, Travel, Hospitality, etc. SurveyMonkey : SurveyMonkeys text and sentiment analysis is a paid feature that is available only on certain plans and packages. Lets now explore some pros and cons of Qualtrics.

Sentiment Analysis 52

Sentiment Analysis NPS AI Text Analytics 52

TeamSupport

JULY 8, 2020

Here are a few tools that will help: Customer sentiment analysis is a commonly used tool by B2B customer support teams and refers to assigning a metric to a piece of text that details how positive or negative that text is. The simplest type of algorithm uses a dictionary to look up which words or phrases indicate which sentiment.

B2B 86

B2B Net Promoter Score Sentiment Analysis NPS 86

TeamSupport

JULY 13, 2023

In our realm, businesses are looking to use AI technology to improve their operations, provide exceptional service, and increase customer support efficiency. Sentiment Analysis: Understanding customer sentiment is crucial for providing personalized and appropriate responses.

B2B 98

B2B AI Sentiment Analysis Customer Satisfaction 98

Totango

OCTOBER 30, 2024

Things we think are great for automation : Data capture Ruting right tasks to right people Enabling CS teams to have value-driven conversations Customer sentiment analysis and activity capture Usage reporting Billing and account admin All of these tasks need to be done, but are either routine or low-value.

Sentiment Analysis 62

Sentiment Analysis Sales Start-ups Customer Retention 62

DMG Consulting

NOVEMBER 6, 2024

As natural language processing (NLP) capabilities advanced, so did speech – and text – analytics, delivering an expanded volume of data regarding customers, their sentiment and emotions, and more. But the addition of GenAI technology means these solutions are “new and improved.”

Text Analytics 48

Text Analytics Sentiment Analysis Contact Center Gaming 48

Fonolo

FEBRUARY 2, 2023

If so, you need to familiarize yourself with the latest tools and technology. Simply put, automation is the practice of using software or technology to address time-consuming or repetitive tasks in your call center operation. Call center automation software is essential to accomplishing this goal. Is your business up to the challenge?

Contact Center 140

Contact Center Sentiment Analysis AI Legal 140

SurveySensum

OCTOBER 29, 2024

It Enables Data-Driven Decision-Making : Insights derived from analytics that are backed by numbers and data, enable businesses to make precise and informed decisions regarding staffing, technology investments, training, etc. This ensures that the right resources are in place, making the contact center more effective and streamlined.

Contact Center 52

Contact Center Text Analytics Sentiment Analysis Machine Learning 52

TeamSupport

JANUARY 9, 2024

Here’s a look back at how customer support technologies evolved over the last century, and a peak at where they’re going next. By the early 1970s, more call-routing systems were beginning to include ACD technology, ushering in the development of large-scale call centers. Ever wonder what customer service looked like 50 or 60 years ago?

Technology 59

Technology Technology Predictive Analytics Social Media 59

SugarCRM

JULY 7, 2022

Technology for collecting, managing, and advancing customer interactions is vital for all businesses. Here are three ways businesses can use technology to maximize the value and productivity of a hybrid and remote workforce: 1. Technology can quickly capture, analyze and draw valuable insights from many data points.

Technology 55

Technology Technology Data Entry ML 55