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

eglobalis

This article examines in detail how businesses in both B2B and B2C contexts are leveraging AI, sentiment analysis, voice-of-customer (VoC) platforms, predictive analytics, and streaming data to capture customer insights in the moment. Technologies enabling this include machine learning algorithms that learn from historical instances (e.g.,

AI 312
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CX 2025: The AI Revolution That Will Leave Your Business Behind

eglobalis

Unlike their scripted predecessors, these autonomous agents use natural language processing (NLP) and machine learning to simulate human-like interactions while solving customer queries effectively.

AI 337
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Beyond NPS: Why Customer Feedback Needs a 360-Degree Revolution

eglobalis

This article delves into these critiques, exploring how NPS fares across diverse business landscapes—both in B2B and B2C environments. B2B vs. B2C Perspectives In B2C environments, where transactional interactions are straightforward and brand loyalty is clearer, NPS can serve as a reliable indicator of customer advocacy and satisfaction.

NPS 450
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The Evolution of Business Relationships: Not B2B nor B2C, but H2H

ECXO

The Evolution of Business Relationships: Not B2B nor B2C, but H2H In the ever-evolving world of business, a new paradigm is emerging that transcends traditional models and approaches to commerce, which I am a big defender of. Social media platforms offer a space for authentic storytelling and community building.

B2C 156
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Lesson #10: B2B VoC and B2C VoC Are Completely Different

PeopleMetrics

Are they businesses ( B2B ) or consumers ( B2C )? B2B companies usually have a smaller number of customers (typically called “clients”) who often pay a significant amount for products or services, while B2C companies usually have many customers with a lower comparative price point. In B2C, business is mainly transactional.

VOC 122
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The Myth of CX’s Death by 2030: Debunking the Fake Speculation

eglobalis

Assertions that advancements in artificial intelligence (AI) and automation will replace human-led CX strategies overlook the complexity of customer relationships, the role of cultural nuances, and the limitations of technology in addressing human-centric needs across both B2B and B2C environments.

B2B 414
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How to Lead a B2B CX Transformation Program—And Avoid Costly Mistakes

ECXO

Advanced analytics and machine learning are opening new possibilities in CX transformation. B2B relationships often involve relatively smaller numbers of clients compared to B2C, but each client can be deeply engaged. This is an advantage in gathering rich feedback.