eglobalis

MARCH 30, 2025

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 346

AI CX Sentiment Analysis Predictive Analytics 346

ECXO

AUGUST 12, 2024

This article explores the top MarTech solutions that are revolutionizing CX, the challenges the industry faces, and how these technologies are being leveraged across different global markets to drive B2B success. Become a member now: [link] Global Impact of MarTech on B2B CX Created by DALL-E with all rights reserved to ECXO.org.

Customer Experience 366

Customer Experience Social Media Predictive Analytics Machine Learning 366

eglobalis

JULY 31, 2024

We will also explore the unique challenges faced by the CX industry and how specific MarTech solutions can benefit B2B customers, with a global focus. These platforms also offer social listening capabilities to monitor customer sentiment and respond proactively. Written by Ricardo Saltz Gulko , get in touch.

Customer Experience 450

Customer Experience Social Media Predictive Analytics AI 450

SurveySensum

SEPTEMBER 19, 2022

There are majorly three types of data sources for gathering VOC data and they differ for B2B and B2C. . Social media channels and forums are great examples of indirect VOC data sources. With social listening, you can cater to all this chatter on the web. STEP 1: Identify the data sources and gather them in one place.

VOC 52

VOC Social Media Voice of the Customer Sentiment Analysis 52

Retently

FEBRUARY 9, 2024

This evolution in feedback collection, powered by AI and machine learning, allows for nuanced analysis of open-ended responses, quickly identifying underlying sentiments and trends. Social listening capabilities further extend the reach, capturing spontaneous conversations and opinions shared across social media platforms.

Customer Feedback 93

Customer Feedback Net Promoter Score Customer Satisfaction NPS 93