VOZIQ

APRIL 21, 2022

While structured customer data can tell you how many customers may cancel, unstructured data can reveal your customers’ wants, needs, concerns, expectations, and reasons for potentially canceling. Here are six ways unstructured data strengthen customer retention strategies: 1.

Unstructured Data 52

Unstructured Data Contact Center Text Analytics Customer Retention 52

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. Let’s understand each of them.

Contact Center 52

Contact Center Text Analytics Sentiment Analysis Machine Learning 52

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. However, most customer feedback comes as unstructured datalacking a common shape or formwhich can make analysis time-consuming and complex.

Sentiment Analysis 52

Sentiment Analysis Social Media Machine Learning CX 52

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

SEPTEMBER 11, 2024

The future now stands on four pillars – data, AI, personalization, and convenience. This creates even more pressure on organizations to retain customers in an era where their preferences and expectations are changing quickly every day and as customer expectations change, so should CX strategies to accommodate these changes.

Predictive Analytics 52

Predictive Analytics AI Customer Experience Text Analytics 52

InteractionMetrics

JULY 10, 2023

“…for most [machine learning] projects, the buzzword “AI” goes too far. Will AI capture the nuances of the customer experience? And can it account for diverse customer expectations, subconscious reactions, and a range of sensations and feelings? It depends. Tagging is tagging.

Unstructured Data 40

Unstructured Data B2B AI Customer Experience 40

SurveySensum

SEPTEMBER 5, 2024

So, let’s discuss the top customer experience trends in the banking industry that you can implement for your organization. AI for Risk Management Just like changes and enhancements in customer interactions, banks, and banking institutions also need to be prepared for different types of risks. message – not done!!!

Close the Loop 52

Close the Loop Customer Experience Omnichannel Machine Learning 52