Remove Machine Learning Remove NPS Remove Unstructured Data
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AI and Real-Time Tech vs. Traditional CX Surveys: Who Will Win the Upcoming Battle?

eglobalis

[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)? These tools provide a simple numerical snapshot, but their simplicity is also their Achilles heel.

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Sentiment Analysis: Guide to Boost CX & Drive Business Insights

SurveySensum

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. Lets dive in and explore.

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

SurveySensum

In simple terms, text analytics tools leverage machine learning, NLP, and other AI capabilities to break down unstructured data from customer feedback, online reviews, customer support chat, etc. Text analytics tools use AI, NLP, and machine learning algorithms to process and interpret large volumes of text.

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15 Best SurveyMonkey Alternatives & Competitors [2025]

SurveySensum

Qualtrics Allows closed-loop follow-ups Collect data from different sources Generate real-time insights into CX Contact to know the pricing details 4.4 SurveySparrow Enables offline and online data collection Automated no-code chatbots Business $99/month Enterprise $499/month Elite Contact for more information 4.4

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Text Analytics vs Sentiment Analysis: Key Differences & Applications

SurveySensum

Machine Learning Models : Training algorithms on labeled datasets to predict sentiment based on language patterns. Both Work With Unstructured Data : Both text and sentiment analysis deals with unstructured customer data and feedback, such as texts, emails, surveys, social media conversations, online reviews, etc.

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Stop Drowning in Data, Start Telling Human Stories

Execs In The Know

We need to take this raw data and turn it into something delicious: human-centric stories that actually resonate and make a difference. A spreadsheet full of NPS scores? So, how do we turn data into compelling, human stories? Really Listen: Data isn’t just about what customers do; it’s about what they say and feel.

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Stop Drowning in Data, Start Telling Human Stories

Execs In The Know

We need to take this raw data and turn it into something delicious: human-centric stories that actually resonate and make a difference. A spreadsheet full of NPS scores? So, how do we turn data into compelling, human stories? Really Listen: Data isn’t just about what customers do; it’s about what they say and feel.