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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.

Survey 317
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5 Must-Have CES Tools for Measuring Customer Effort & Satisfaction

Retently

Multi-Channel Support for Diverse Customer Touchpoints Customers interact with your business in many ways emails, live chat, mobile apps, social media, and more. Look for tools that provide intuitive dashboards to simplify data analysis, allowing you to track trends and filter responses by customer segments.

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8 Best QuestionPro Alternatives & Competitors in 2024

Retently

It should also support multi-channel survey distribution and provide robust reporting tools for actionable insights. Advanced Survey Logic: Includes features like skip logic and question piping, enabling dynamic and personalized survey experiences tailored to respondent behavior.

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How DPG Media uses Amazon Bedrock and Amazon Transcribe to enhance video metadata with AI-powered pipelines

AWS Machine Learning

DPG Media is a leading media company in Benelux operating multiple online platforms and TV channels. Variability in content volume – They offer a range of content volume, from single-episode films to multi-season series. Video data analysis with AI wasn’t required for generating detailed, accurate, and high-quality metadata.

Video 111
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10 Most Relevant NPS Software Platforms

Lumoa

Suricate’s focus is more towards collecting feedback rather than analyzing feedback, but they do offer some basic analysis of feedback. Besides just creating surveys, it’s also possible to identify customer sentiments in feedback with their sentiment analysis feature. You can run the surveys through emails, apps, websites, and links.

NPS 243
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The Explosive Growth of the Text Analytics Market: Trends, Opportunities, and Forecast

Thematic

It uses technologies like natural language processing (NLP) , sentiment analysis , content categorization, and entity extraction, among others, to make sense of language at scale. The drivers we cover in this section are central to the market’s projected multi-billion dollar growth over the next decade. The challenge?

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The Future of Customer Support: How AI and Outsourcing Work Together

rethinkCX

Enhances overall customer experience by minimizing frustration and delays. Sentiment Analysis and Predictive Analytics Analyzes customer emotions and feedback to identify dissatisfaction early. Reduces support ticket volume and enhances user experience. Helps businesses anticipate customer needs and personalize responses.