Customer Think

SEPTEMBER 9, 2021

InMoment bolsters set of customer experience management (CXM) solutions with latest acquisition adding robust natural language processing (NLP), and machine learning (ML) to InMoment's XI Platform.

Unstructured Data 52

Unstructured Data CXM ML Machine Learning 52

ECXO

DECEMBER 20, 2023

Real-time lead scoring Using AI and machine learning, a CDP can identify leads are most likely to convert, those who need more nurturing and those who are likely to churn. Look for a solution that provides B2B lead prediction and account scoring, and surfaces customer churn and conversion predictions.

Customer Experience 156

Customer Experience B2B Machine Learning AI 156

ClearAction

JUNE 25, 2023

Urgent needs of the 2020s are not yet discussed widely, due to preoccupation with AI and other tech, lots of new people in the CX field since the hub-bub of 2020 (restructuring, layoffs, great resignation), adopting CXM playbooks from tech providers, and over-focus on tactical rather strategic CXM. I love it.

Artificial Intelligence 62

Artificial Intelligence CXM CX Data Mining 62

ECXO

SEPTEMBER 6, 2023

Embedded AI and machine learning techniques provide deeper insights into customers and segments to drive retention and cross-sell / upsell strategies. SAS 360 Engage – from a single omnichannel marketing hub, marketers can deliver personalised, targeted offers across channels and devices. Teams can automate and track activities.

Omnichannel 156

Omnichannel B2B Technology Technology 156

Lumoa

FEBRUARY 9, 2023

The most important AI technologies, that are relevant for analyzing customer feedback, fall in the area of natural language processing (NLP) and machine learning. Both groups of technologies can be utilized to make analytics more actionable. With AI, you can get answers to most of your “why” questions. Why is NPS ® going up or down?

Net Promoter Score 167

Net Promoter Score Customer Experience B2C Social Media 167

Lumoa

MARCH 20, 2018

The most important AI technologies relevant for analyzing customer feedback fall in the area of natural language processing (NLP) and machine learning. But machine learning technologies can also help you to move from diagnostic to predictive analytics: if I fix this issue in my customer experience, how much will my churn decrease?

Net Promoter Score 107

Net Promoter Score Customer Experience CEM B2C 107

Lumoa

MARCH 20, 2018

The most important AI technologies relevant for analyzing customer feedback fall in the area of natural language processing (NLP) and machine learning. But machine learning technologies can also help you to move from diagnostic to predictive analytics: if I fix this issue in my customer experience, how much will my churn decrease?

Net Promoter Score 60

Net Promoter Score Customer Experience CEM B2C 60

SurveySensum

JULY 14, 2020

Debbie Akwara is a CX entrepreneur that designs products, services, and solutions that helps businesses attract, satisfy, and retain customers while improving the customer experience management (CXM) capabilities of teams. She has over 20 years of experience in delivering CX success for local, pan African, and international organizations.

Customer Experience 132

Customer Experience CX E-commerce Social Media 132

eglobalis

DECEMBER 17, 2024

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 347

AI CX Sentiment Analysis Net Promoter Score 347

Sprinklr

OCTOBER 20, 2021

But, social suites that combine a strong social media strategy with a unified customer experience management (Unified-CXM) platform can more effectively drive the value of your social engagement to every corner of your enterprise. Fewer silos and dead ends. More collaboration and communication. Happier customers.

Social Media 85

Social Media CXM Unstructured Data Social Listening 85