Intercom, Inc.

MAY 14, 2018

Social Media : Noisy and fragmented. 96%: The vast majority, almost 96%, of bloggers drive traffic through social media, with 64% through SEO and 58% through email marketing ( Orbitmedia, 2017 ). Social media. adults, making it the most popular social network in America. Email: Still relevant.

Social Media 223

Social Media Entertainment Engineering Artificial Intelligence 223

eglobalis

DECEMBER 4, 2024

This perspective seemed disconnected from the nature of constructive debate and the dynamics of social media, where differing viewpoints should foster growth rather than defensiveness. Key arguments for CXs supposed demise include: AI and machine learning will automate all customer interactions.

B2B 367

B2B Artificial Intelligence AI Construction 367

eglobalis

JULY 2, 2024

By embracing a diverse array of metrics and leveraging cutting-edge technologies such as artificial intelligence (AI) and machine learning (ML), businesses can obtain a more comprehensive and nuanced understanding of customer sentiment and other important facts.

NPS 424

NPS Customer Feedback Net Promoter Score B2C 424

Sprinklr

OCTOBER 20, 2021

When you think about your brand’s social media strategy, what comes to mind? Is it about listening to what your customers are saying about your brand on social media? Social media is now ubiquitous to the customer experience. On social media, the answer is a resounding yes.

Social Media 85

Social Media Unstructured Data CXM Social Listening 85

ECXO

MARCH 6, 2025

These tools can gather customer feedback from multiple channels (email surveys, web feedback forms, support calls, social media, etc.), Advanced analytics and machine learning are opening new possibilities in CX transformation. analyse sentiment, and trigger alerts for immediate follow-up.

CX Transformation 314

CX Transformation B2B CX Government 314

Win the Customer

DECEMBER 21, 2024

This involves: Collecting comprehensive customer data: Gather data from various sources, including website interactions, mobile app usage, social media engagement, customer support tickets, and CRM systems. Building customer profiles: Create detailed customer profiles that capture individual preferences, needs, and behaviors.

AI 59

AI Social Media Artificial Intelligence Machine Learning 59

SurveySensum

JANUARY 20, 2025

From social media reviews to survey responses, customer data is everywhere. Sentiment analysis is the process of analyzing open-ended feedback using AI technologies like natural language processing, machine learning, and text analytics. But heres the real question: are you making the most of it? Lets dive in and explore.

Sentiment Analysis 52

Sentiment Analysis Social Media Machine Learning CX 52

Win the Customer

DECEMBER 23, 2024

The Rise of Conversational AI: Trend: Conversational AI, powered by natural language processing (NLP) and machine learning, is transforming customer interactions. Integrate these conversational AI agents across various channels, including websites, mobile apps, social media, and messaging platforms.

AI 59

AI Customer Service E-commerce Social Media 59

ECXO

AUGUST 21, 2024

This includes: 1. Listen Actively: Engage with customers on various platforms, from social media to customer service calls. 3. Implement AI and Machine Learning: Use AI technologies to provide real-time personalization, such as personalized recommendations and dynamic content.

CX 156

CX Social Media Predictive Analytics Touchpoint 156

SurveySensum

FEBRUARY 17, 2025

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. Are you still analyzing your customer feedback manually? So whats the solution here?

Text Analytics 52

Text Analytics Sentiment Analysis Social Media Machine Learning 52

SurveySensum

FEBRUARY 24, 2025

Machine Learning Models : Training algorithms on labeled datasets to predict sentiment based on language patterns. Both Work With Unstructured Data : Both text and sentiment analysis deals with unstructured customer data and feedback, such as texts, emails, surveys, social media conversations, online reviews, etc.

Sentiment Analysis 52

Sentiment Analysis Text Analytics Social Media Machine Learning 52

Beyond Philosophy

FEBRUARY 20, 2020

We recently learned about the inventor of the hashtag Chris Messina’s concept of Conversational Commerce and how it has changed the way brands interact with their customer on social media platforms. Today we will learn about how this relationship will continue to evolve as we move into a new year and a new decade. .

AI 162

AI Innovation Social Media Construction 162

ECXO

APRIL 7, 2024

AI’s ability to gather and dissect vast amounts of data, including demographic information, purchase history, browsing behavior, and social media interactions, is unparalleled. Resilience: The first, and perhaps the most crucial step, is the data collection and analysis. This raw data, however, is like a diamond in the rough.

AI 332

AI CX Artificial Intelligence Predictive Analytics 332

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

Intercom, Inc.

DECEMBER 12, 2018

Buffer – social media publishing. Buffer allows you to manage your entire social media strategy from one place and collect reports from across your networks. In 2018, however, there’s finally an alternative to doing this by hand: machine learning. Alternatives: Unbounce.

Technology 223

Technology Technology B2C B2B 223

ECXO

JULY 26, 2023

AI, automation and machine learning mean solutions are available to meet these expectations – at scale. As we mentioned earlier, customers know the value of their data. They want to be seen as individuals. They want companies to demonstrate that they know them and understand their individual detailed preferences.

Predictive Analytics 296

Predictive Analytics Education CX Touchpoint 296

Hodusoft

OCTOBER 17, 2024

This leads to customers repeating themselves when they have to switch different channels (phone, email, chat, social media). Machine Learning (ML) In the last few years, ML is proving to be a game changer for call centers and customer-facing organizations. Managing customer interactions manually can be resource-intensive.

Omnichannel 52

Omnichannel AI Customer Service Contact Center 52

PeopleMetrics

JULY 20, 2020

That’s right, you can save a potentially lost customer who recently had a poor experience by systematically following up with them BEFORE they take it to social media. His company offers CEM software with advanced machine learning solutions and hands-on analytical support to help companies make sense of their CX data.

CX 163

CX CEM Close the Loop Business Administration 163

InteractionMetrics

MARCH 13, 2025

It relies on natural language processing (NLP) and machine learning to classify customer feedback. Analyzing customer sentiment involves collecting customer sentiment data from sources like survey data, comments on social media posts, online reviews, and more. For example: The checkout process was seamless!

Sentiment Analysis 52

Sentiment Analysis Customer Experience Machine Learning Social Media 52

Hodusoft

MARCH 12, 2025

Machine Learning (ML) Machine learning algorithms are used to improve performance over time by learning from historical data. AI-powered contact centers can leverage machine learning algorithms to detect fraud based on anomalies in transaction histories, identity details, and application patterns.

Contact Center 52

Contact Center AI Machine Learning Finance 52

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). Machine Learning (ML) Integration: Stay ahead of the curve.

Sentiment Analysis 147

Sentiment Analysis Text Analytics Machine Learning ML 147

Beyond Philosophy

AUGUST 4, 2022

Dr. Turner believes that description is exactly how algorithms and machine learning works. The misconception is that machine learning and forms of AI are pure. Humans make those decisions, even in unsupervised machine learning, which means it is still an opinion about what those will be, affecting AI’s suitability.

AI 148

AI Artificial Intelligence Machine Learning Social Media 148

Lumoa

FEBRUARY 9, 2023

The most important AI technologies, that are relevant for analyzing customer feedback, fall in the area of natural language processing (NLP) and machine learning. Social Media You might be wondering why social media is on the list. Social media is a powerful tool when it comes to customer experience.

Net Promoter Score 167

Net Promoter Score Customer Experience B2C Social Media 167

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.

Contact Center 52

Contact Center Text Analytics Sentiment Analysis Machine Learning 52

SurveySensum

DECEMBER 30, 2024

It combines the power of AI and machine learning to help you create smarter surveys, collect high-quality responses, and uncover insights faster. Monitor responses in real-time with the help of AI and machine learning. SurveyMonkey SurveyMonkey ranks pretty high among CustomerGauge alternatives.

Sentiment Analysis 52

Sentiment Analysis Machine Learning NPS B2B 52

Beyond Philosophy

JULY 18, 2020

Machine Learning is a type of AI where machines attempt to learn from their mistakes. We learn from our mistakes; machines seek to do the same thing by making mistakes, recognizing them, sourcing them, and then fixing them moving forward. There are many types of AI.

Artificial Intelligence 114

Artificial Intelligence Machine Learning Sentiment Analysis AI 114

Comm100

DECEMBER 16, 2024

They use machine learning to refine and prioritize answers based on relevance. Omni-channel support AI ensures seamless transitions across multiple channels (email, chat, social media, etc.), Knowledge base AI-enhanced knowledge bases offer instant access to frequently asked questions and helpful resources.

Customer Service 52

Customer Service Sentiment Analysis AI Social Media 52

ECXO

MARCH 24, 2024

It can process information about a customer’s past purchases, browsing history, and even social media activity. Machine learning algorithms can predict what a customer may need next, allowing brands to provide proactive service. This data helps in optimizing email campaigns and delivering more relevant content.

AI 156

AI Customer Experience Social Media Machine Learning 156

SurveySensum

MARCH 5, 2025

It goes beyond just converting speech to text – it adds context, detects sentiment, and derives meaning using AI and machine learning. In simple terms, Natural Language Processing (NLP) allows computers to understand and interpret human language the way we do.

Text Analytics 52

Text Analytics AI Sentiment Analysis Contact Center 52

Intercom, Inc.

DECEMBER 31, 2019

The impact of social media. It’s hard to recall now, but there was a time, particularly around the Arab Spring of 2011, when it seemed that Facebook and Twitter would usher in a new era of enlightenment across the world, shifting power to the people by freeing our social and political discourse from traditional gatekeepers.

Entertainment 259

Entertainment Gaming Artificial Intelligence Technology 259

Comm100

AUGUST 8, 2022

and “how does a chatbot use machine learning?”. This process is also known as machine learning and brings us to the common question “how does a chatbot use machine learning?” With a little learning and guidance from Comm100’s bot architect team, I built our bot from scratch with no technical knowledge.

Customer Service 97

Customer Service Machine Learning Social Media AI 97

Sprinklr

OCTOBER 5, 2021

RG 271 requires these institutions to respond to complaints lodged on social media and digital communications platforms. Does it incorporate industry-specific machine-learning models that are not only built for your industry, but can be tailored to your organization?

Machine Learning 119

Machine Learning Compliance Social Media Government 119

Fonolo

MAY 23, 2023

It harnesses advanced analytics and machine learning algorithms to dynamically adapt interactions based on real-time data and individual preferences. Artificial Intelligence and Machine Learning Leverage A L and ML algorithms to uncover patterns, predict customer behavior, and offer personalized recommendations.

Contact Center 106

Contact Center Machine Learning Social Media Artificial Intelligence 106

Hodusoft

NOVEMBER 24, 2021

People expect to be able to interact with business in a variety of ways like social media, via live chat, over SMS, over the phone, and more. Social Media. Social platforms including Facebook and Twitter continue to grow exponentially. Omnichannel Communication. Artificial Intelligence.

Social Media 105

Social Media Artificial Intelligence CRM Omnichannel 105

Win the Customer

JANUARY 20, 2020

eDigital surveyed in 2013, where 73% of people surveyed said that they preferred live chat to use email, SMS, social media, the phone, and so on. AI can make use of machine learning to predict the behavior of a buyer from previous searches, frequently bought products, and so on.

AI 159

AI Artificial Intelligence Machine Learning Social Media 159

CommBox

JULY 1, 2021

By implementing an advanced machine learning algorithm, the bots can understand customers’ intents and provide a natural conversational flow that is more human-like than ever before. Alongside the cutting-edge technology, the Bot-Squad seamlessly integrates with WhatsApp Business API, putting the client’s needs front and center.

Machine Learning 98

Machine Learning Omnichannel Social Media AI 98

Fonolo

DECEMBER 12, 2018

This trend is underpinned by vast improvements in natural-language processing, machine learning, and intent-matching capabilities. Social Media as a Contact Center Touchpoint. , or provide personality insights that help improve communication with prospects. Become a contact center super hero in record time!

Artificial Intelligence 116

Artificial Intelligence CX Contact Center Machine Learning 116