eglobalis

MARCH 30, 2025

[link] Introduction: Todays businesses face a pivotal question: can emerging technologies like AI and real-time data platforms reduce or even replace the need for traditional customer surveys in managing customer experience (CX)? However, AI isnt just analyzing past sentiment its increasingly used to predict future sentiment and behaviour.

AI 346

AI CX Sentiment Analysis Predictive Analytics 346

SurveySensum

SEPTEMBER 11, 2024

. → Here’s the list of the top 7 Customer Journey Analytics tools Real-time Monitoring : Implementing real-time monitoring via in-app feedback, website pop-ups, chatbots, social media, web analytics, etc, will help you capture immediate customer responses and enable you to act in real time.

Predictive Analytics 52

Predictive Analytics AI Customer Experience Text Analytics 52

SurveySensum

OCTOBER 29, 2024

Different Types of Contact Center Analytics There are different types of analysis that fall under the contact center analytics umbrella that can be applied to the customer center data and insights. Let’s understand each of them.

Contact Center 52

Contact Center Text Analytics Sentiment Analysis Machine Learning 52

SurveySensum

MARCH 3, 2025

Social media conversations often provide early signals of emerging trends, and text analytics helps brands detect these shifts. How text analytics helps Keyword & Hashtag Analysis: Identifies trending topics within an industry. Predictive analytics : Use historical data to predict which customers are at risk of leaving.

Text Analytics 52

Text Analytics Social Media Sentiment Analysis AI 52

InteractionMetrics

APRIL 17, 2025

Compared to Qualtrics Where It Wins: Stronger at handling unstructured data, easier to launch with pre-built templates, and more focused on real-world customer touchpoints. Best For SMBs that need flexible, compliant survey tools (HIPAA, GDPR, ISO 27001), especially in industries where usability and data integrity are priorities.

E-commerce 40

E-commerce Hospitality Hospitality Sentiment Analysis 40

SurveySensum

MARCH 7, 2025

It uses AI capabilities like NLP and machine learning to analyze, categorize, and interpret vast amounts of text-based healthcare data. Named Entity Recognition: Extracts key medical terms, symptoms, drug names, and diseases from unstructured data. Use predictive analytics to anticipate patient needs and improve care delivery.

Text Analytics 52

Text Analytics Healthcare AI Unstructured Data 52