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7 Ways Text Analytics Helps in Product Development

Thematic

It’s not luck—it’s text analytics. But text analytics can do this in a breeze. Powered by AI, text analytics help businesses quickly identify what customers love, what frustrates them, and what they want next. Here are seven ways text analytics helps in product development.

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How AI Text Analytics Enhances Customer Service: A Comprehensive Guide

Thematic

Text analytics. What is text analytics ? And before you think, “Nah, analyzing text is hard,” here’s the good news: AI-powered text analytics makes it easy to analyze customer feedback at scale. Let’s talk about how AI text analytics can help your business. Let’s go!

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Cost to Build an AI Platform for Unstructured Data Analytics vs. Buying Off-the-Shelf

Thematic

Building your own AI feedback analytics platform can quickly become expensive. Applied to feedback analytics, internal builds can cost around $1.8 Download NLP Generative AI Text Analytics Handbook Build, Buy or Partner? These pipelines often rely on text analytics and backend NLP components to extract actionable insight.

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When to Use a Hybrid Build-Partner Model for Customer Feedback AI

Thematic

This balanced approach promises tailored insights without starting from scratch, though it does mean sharing roadmap control with a vendor. Download NLP Generative AI Text Analytics Handbook Build, Buy or Partner? AI Feedback Analytics Evaluation Framework Build, buy, or partner for AI feedback analytics?

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What Voice of Customer Teams Need to Know About the Modern Data Stack

Thematic

For analytics and visualization, tools like Looker, Tableau, or PowerBI are often used. Traditional Approaches to Unified Data Analytics Before the Modern Data Stack, unifying customer feedback was especially challenging. Some of these platforms can even be used as a mini-CRM and a ticket management solution.

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Unlocking Customer Experience Insights: Strategies for Better Satisfaction

Thematic

Align teams and predictive analytics to anticipate needs. AI-driven analytics uncover hidden trends and predict customer needs. Their lean research team uses AI-powered analytics to process thousands of net promoter score (NPS) survey responses, identifying real-time pain points. Let’s go! One example?

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Building Effective User Feedback Loops for Continuous Improvement

Thematic

Are you aiming to reduce churn, improve specific UX issues, boost customer loyalty, or guide your product roadmap? Modern tools can help tremendously here—instead of doing it all manually, you can leverage analytics solutions powered by AI. Setting clear objectives will focus your efforts.