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

Lumoa

APRIL 18, 2023

As the volume of data companies collect grows and as artificial intelligence (AI) gets better, analytics is set to become a key differentiator for customer experience management. And customer-centric companies have been using surveys to understand customer needs for even longer than that. Think about it.

Customer Experience 83

Customer Experience CX Net Promoter Score Unstructured Data 83

SurveySensum

MARCH 3, 2022

A VOC tool is software that allows you to collect feedback and generate in-depth analysis reports from unstructured data. These tools come with inbuilt applications to collect feedback, analyze texts and sentiments, provide visual analytics, and more. Managing that data can be a real hassle.

Voice of the Customer 52

Voice of the Customer Sentiment Analysis VOC Close the Loop 52

InteractionMetrics

JUNE 19, 2020

And this applies not just to survey comments but other sources of customer data like reviews, chats, interviews—all of which can give insight into why customers feel, think, and rate the way they do. While unstructured data like this may appear to defy quantification, that’s not actually the case.

Unstructured Data 52

Unstructured Data Text Analytics Net Promoter Score AI 52

InteractionMetrics

JULY 10, 2023

While customer experience artificial intelligence is still nascent, AI for customer experience shows tremendous promise, both as a tool to measure experience and as a lever to improve it. There’s no question that AI is a powerful tool. So, is AI for customer experience just hype? It depends.

Unstructured Data 40

Unstructured Data B2B AI Customer Experience 40

SurveySensum

APRIL 12, 2022

The text analytical feature produces very generic output and often you need to manually create tagging rules for future feedback. . It does not have enough analytical features for reports outside individual surveys. . So that you can monitor and provide enhanced experiences to your customers. Text Analytics.

Text Analytics 59

Text Analytics Close the Loop Unstructured Data Actionable Insights 59