ECXO

OCTOBER 23, 2024

This valuable information enables organizations to tailor their offerings and interactions in a highly personalized manner, truly understanding and addressing the unique needs of each customer. Furthermore, AI enables organizations to gather and analyze customer feedback at scale.

AI 207

AI Customer Service Sentiment Analysis Predictive Analytics 207

Lumoa

NOVEMBER 8, 2017

The most important AI technologies relevant for analyzing customer feedback fall in the area of natural language processing (NLP) and machine learning. Machine learning is can be utilized to make predictions based on the historical data as long as there is a large amount of it.

Customer Feedback 110

Customer Feedback Net Promoter Score AI Machine Learning 110

Retently

SEPTEMBER 12, 2018

At a first glance, relying on the input provided by the sales, marketing, and support teams might seem sufficient; however, we wanted to take the opportunity to use customer feedback to prioritize the product roadmap from a customer’s perspective as well. Here is where automated analysis with machine learning takes the stage.

Customer Feedback 109

Customer Feedback NPS Machine Learning Text Analytics 109

ECXO

APRIL 10, 2024

Similarly, in customer experience, a customer can behave both as an individual “particle” and as part of a collective “wave” As individual “particles”, customers have unique, personal experiences with a business. Coherence: In quantum physics.

CX 334

CX Customer Experience Social Media Sentiment Analysis 334

Intercom, Inc.

MAY 22, 2019

It’s all part of a customer-centric philosophy that emphasizes empathy and self-awareness over a staid corporate vision. Deepa joined me for a chat about everything from ways to prioritize customer experience to going all-in on machine learning. Short on time? and “Why are they doing it?”

Voice of the Customer 199

Voice of the Customer Net Promoter Score Machine Learning ML 199

Lumoa

NOVEMBER 21, 2023

But it is no longer a challenge, thanks to modern technologies like martech tools and back-office solution software and the use of artificial intelligence (AI) in customer feedback analysis. But it is one thing to claim that a business values customer feedback and another to sift out the actionable data.

Customer Feedback 78

Customer Feedback AI Machine Learning Social Media 78

Lumoa

NOVEMBER 15, 2017

One of our speakers, Johanna Vesterinen , Xperiencefocus , noticed that many companies collect customer feedback, but fewer and fewer keep going through the CX funnel itself and reach the end. That brings us to the question: What’s the purpose of customer feedback?

Machine Learning 113

Machine Learning Artificial Intelligence Customer Feedback CX 113

SurveySensum

JANUARY 20, 2025

Sentiment analysis is the process of analyzing open-ended feedback using AI technologies like natural language processing, machine learning, and text analytics. The real advantage of using an AI-enabled tool to categorize customer feedback isnt just that it simplifies the process. Lets dive in and explore.

Sentiment Analysis 52

Sentiment Analysis Social Media Machine Learning CX 52

SurveySensum

DECEMBER 30, 2024

SurveySensum SurveySensum is an AI-powered customer experience management platform designed to help businesses capture, analyze, and act on customer feedback in real-time. From Insights to Action: Unlock the Power of Customer Feedback to Drive CX with SurveySensum!

Sentiment Analysis 52

Sentiment Analysis Machine Learning NPS B2B 52

Win the Customer

DECEMBER 23, 2024

Example: A travel booking platform could use AI to analyze a customer’s past travel preferences, budget, and current interests to suggest personalized vacation packages, offer exclusive deals, and provide proactive support for common travel issues. Ensure that AI is used to enhance customer interactions, not hinder them.

AI 59

AI Customer Service E-commerce Social Media 59

Beyond Philosophy

JULY 13, 2023

These include machine learning and deep learning. There is a difference between machine learning and deep learning. Consider the following: Machine learning uses algorithms. By contrast, deep learning builds upon neural networks where the AI effectively discovers patterns themselves.

AI 143

AI Machine Learning Social Media Customer Relationship Management 143

SurveySensum

OCTOBER 29, 2024

Instead of relying on the traditional method of manually keeping track of customer interactions, feedback, and agent performance, contact center analytics centers around improving and optimizing customer service processes with the help of advanced analytics like AI, machine learning, etc. Well, not anymore.

Contact Center 52

Contact Center Text Analytics Sentiment Analysis Machine Learning 52

Retently

FEBRUARY 9, 2024

Creating an insightful customer feedback questionnaire can seem daunting. Dive into the steps for effective questionnaire design, crucial areas for feedback, and tactics for maximizing the valuable data you collect without the fluff. What questions do you include to not only garner responses but also drive your business forward?

Customer Feedback 92

Customer Feedback Net Promoter Score Customer Satisfaction NPS 92

Lumoa

JANUARY 24, 2024

After that frustrating experience, I had a newfound appreciation for customers who have to deal with unresponsive customer experience (CX) teams that fail to act on customer feedback! Just like a hapless tourist, customers are eager to share details of their experience. An organization that can act on feedback.

Text Analytics 78

Text Analytics Customer Feedback Net Promoter Score Sentiment Analysis 78

SurveySensum

FEBRUARY 17, 2025

Are you still analyzing your customer feedback manually? In this digital age, where feedback can be gathered from multiple sources from social media posts to online reviews, it has become imperative that you dont miss anything as each of these customer activities can be valuable for your business. Text Analytics Tools.

Text Analytics 52

Text Analytics Sentiment Analysis Social Media Machine Learning 52

SurveySensum

DECEMBER 27, 2024

Customer satisfaction is at the heart of every successful business, and getting it right involves more than just good service – its about creating a smooth experience and being responsive to what your customers want. Technology makes it all a bit easier these days.

Technology 52

Technology Technology Artificial Intelligence CX 52

ECXO

JULY 26, 2023

Fortunately, there are a few organizations that stand out in their utilization of this information and in incorporating customer feedback into their products and services. As we mentioned earlier, customers know the value of their data. They want to be seen as individuals. It’ll be worth it.

Predictive Analytics 296

Predictive Analytics Education CX Touchpoint 296

Lumoa

JUNE 4, 2018

Lumoa, headquartered in Helsinki, Finland, offers a simple and intuitive service for analyzing large amounts of customer feedback. Leading companies in healthcare, telecommunications and banking across Nordics already benefit from real time Net Promoter Score (NPS) analytics that can handle feedback in all major languages.

Net Promoter Score 113

Net Promoter Score AI Customer Experience Machine Learning 113

Lumoa

JANUARY 8, 2024

And, if you’re nodding along, I’m also betting you’re savvy enough to know that the future of business success is tightly intertwined with embracing Machine Learning (ML) and Artificial Intelligence (AI). AI tools are changing the way we analyze customer feedback.

Sentiment Analysis 147

Sentiment Analysis Text Analytics ML Machine Learning 147

Intercom, Inc.

MARCH 18, 2021

In previous episodes, we’ve talked about how customer feedback and cross-team collaboration play a crucial role in the features and updates we build here at Intercom. Or rather, two – conversation topics and custom reports. It uses machine learning to surface insights from your conversations while managing them at scale.

Start-ups 211

Start-ups Customer Feedback Actionable Insights Machine Learning 211

Lumoa

FEBRUARY 9, 2023

Long-term actions are based on the analytics results of customer feedback. Later, communicate the changes and improvements you’ve done based on customer feedback back to your customers. In both cases, follow-up is a necessity, not a choice, if you want to build strong relationships with your customers.

Net Promoter Score 167

Net Promoter Score Customer Experience B2C Social Media 167

InteractionMetrics

MARCH 13, 2025

Customer sentiment analysis involves evaluating customer data to understand emotional tonewhether it’s positive, negative, or neutral. It relies on natural language processing (NLP) and machine learning to classify customer feedback. For example: The checkout process was seamless! Positive sentiment.

Sentiment Analysis 52

Sentiment Analysis Customer Experience Machine Learning Social Media 52

Win the Customer

JANUARY 20, 2020

AI can make use of machine learning to predict the behavior of a buyer from previous searches, frequently bought products, and so on. Better customer support – Research by Juniper Research has revealed that chatbots will be responsible for saving over $8 billion each year by 2022. How to Integrate AI to Your eCommerce Business?

AI 159

AI Artificial Intelligence Machine Learning Social Media 159

SurveySensum

FEBRUARY 24, 2025

Out to do a detailed analysis of your customer feedback/review? When the world is rapidly turning towards AI, businesses are relying on advanced techniques to extract valuable insights customer reviews, social handles, emails, chats, surveys, and whatnot. Dont waste time sorting through endless customer feedback.

Sentiment Analysis 52

Sentiment Analysis Text Analytics Social Media Machine Learning 52

SurveySensum

MARCH 26, 2025

Saves Time and Effort : Manually reading through thousands of documents or customer feedback is nearly impossible. Enhances Decision-Making : It helps businesses make data-driven decisions based on real customer feedback, social media trends, and more. Lets now discuss each step.

Text Analytics 52

Text Analytics Social Media Sentiment Analysis Actionable Insights 52

Ameyo Callversations

JULY 7, 2022

Before we dive into the technological aspect, let’s understand the basics of customer feedback and what makes it so crucial for every business. What is Customer Feedback and Why Should you Gather it? What More can you do After Collecting Customer Feedback? You can use customer feedback to: 1.

Customer Feedback 52

Customer Feedback Technology Technology AI 52

Lumoa

DECEMBER 19, 2023

Have you ever thought about how some businesses manage to analyze thousands of customer reviews and feedback quickly? Customer feedback is a precious resource for understanding what’s effective and what needs improvement. It can help companies pinpoint areas for improvement within customer feedback.

Sentiment Analysis 78

Sentiment Analysis AI Machine Learning Social Media 78

TeamSupport

DECEMBER 20, 2023

By taking a proactive stance, companies can not only prevent problems but also showcase their dedication to customer satisfaction. Bottom line: Know your customer better than they know themselves. Invest in AI-Powered Technologies Artificial intelligence (AI) and machine learning technologies continue to revolutionize customer support.

Artificial Intelligence 108

Artificial Intelligence Predictive Analytics Omnichannel Machine Learning 108

Callminer

NOVEMBER 18, 2020

Some examples include technology advancements, machine learning, automation, seamless omnichannel servicing, frictionless customer experience, predictive modeling providing proactive solutions, and most recently, a pivot to work at home. Voice of the Customer, CSAT, NPS and Customer Advisory Boards).

Contact Center 345

Contact Center Customer Satisfaction Customer Service Outlook 345

ECXO

AUGUST 6, 2024

7. Customer Feedback and Adaptation a. Effective Feedback Utilization: Companies with strong future thinking actively seek and integrate customer feedback into their long-term planning. This results in continuous improvement and a better customer experience.

Customer Experience 177

Customer Experience Innovation Education Government 177

Intercom, Inc.

NOVEMBER 26, 2018

It was the culmination of a huge amount of work by multiple product teams, and vast amounts of research by our machine learning experts. The development of Answer Bot also saw a very significant involvement from Intercom’s Customer Support team.

Start-ups 164

Start-ups Machine Learning Education Customer Feedback 164

ECXO

MARCH 24, 2024

This data, when analyzed, provides deep insights into the customer’s preferences, enabling brands to cater to their needs more effectively. AI-powered chatbots, for instance, can engage with customers 24/7, provide personalized responses, and offer real-time solutions.

AI 156

AI Customer Experience Social Media Machine Learning 156

SurveySensum

OCTOBER 17, 2023

And for this, they are required to understand the importance of gathering and analyzing customer feedback. This is why, in this blog, we will explore the top 15 customer feedback tools for NBFCs that you can use for your business to collect customer feedback and gauge customer loyalty and satisfaction.

Customer Feedback 52

Customer Feedback NPS Actionable Insights Sentiment Analysis 52

ECXO

AUGUST 21, 2024

Envisioning the ‘Golden’ Customer Experience Organization Visualize an organization where every touchpoint is designed to create value, where customer feedback is not just heard but acted upon, and where technology and human empathy work hand in hand to deliver exceptional service.

CX 156

CX Social Media Touchpoint Predictive Analytics 156

Fonolo

MAY 23, 2023

Personalization offers unique customer experiences based on demographic segments or predefined rules. It harnesses advanced analytics and machine learning algorithms to dynamically adapt interactions based on real-time data and individual preferences. It enables a more precise and relevant customer experience.

Contact Center 106

Contact Center Machine Learning Social Media Artificial Intelligence 106

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

SurveySensum

FEBRUARY 6, 2025

What is QuestionPro Platform Overview QuestionPro is a cloud-based survey and research software platform used for creating, distributing, and analyzing customer feedback in real time. By analyzing large volumes of customer data, SurveySensum’s text analytics pinpoints key patterns and shifts in customer sentiment or behavior.

CX 52

CX Sentiment Analysis Text Analytics Social Media 52