Remove Customer Feedback Remove Sentiment Analysis Remove Unstructured Data
article thumbnail

AI and Real-Time Tech vs. Traditional CX Surveys: Who Will Win the Upcoming Battle?

eglobalis

Meanwhile, customers now interact with brands constantly through digital channels, generating a wealth of real-time signals. Each section spotlights a specific facetfrom AI-driven sentiment analysis to industry-specific applicationsshowing how modern techniques aim to fill the gaps left by traditional surveys.

AI 320
article thumbnail

Sentiment Analysis: Guide to Boost CX & Drive Business Insights

SurveySensum

With the right tools and techniques, analyzing your survey data can reveal not just what your customers are saying, but how they truly feel about your products, services, and brand as a whole. Thats where sentiment analysis comes in – turning raw feedback into actionable insights. What is Sentiment Analysis?

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Text Analytics vs Sentiment Analysis: Key Differences & Applications

SurveySensum

Out to do a detailed analysis of your customer feedback/review? When the world is rapidly turning towards AI, businesses are relying on advanced techniques to extract valuable insights customer reviews, social handles, emails, chats, surveys, and whatnot. What is Sentiment Analysis? spam vs. not spam).

article thumbnail

Top 5 Text Analytics Tools: Features, Benefits, and Use Cases

SurveySensum

Are you still analyzing your customer feedback manually? 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. Lets find out more.

article thumbnail

Track Performance and Boost Operational Efficiency With Contact Center Analytics

SurveySensum

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.

article thumbnail

Unstructured Data: Mining the Gold

InteractionMetrics

Unstructured data presents a goldmine of information, but mining that gold is no easy task—it requires coding with detailed text analysis. To be clear, unstructured data includes customer survey text comments, customer service calls, emails, chats, reviews, and other narrative sources of information.

article thumbnail

Focus on What Matters Most with Key Driver Analysis

SurveySensum

Using a mix of historical data analysis, customer feedback , and industry benchmarks goes a long way here. Once you have identified all the factors, use key driver analysis techniques like correlation analysis or regression to identify those few, specific factors that truly move the needle.