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Customer Data Analytics

Customer Relationship Management (CRM) data analytics, or customer analytics, is a critical element of CRM. Learn to quickly identify and solve customer-facing business problems by collecting, organizing, and analyzing customer data captured throughout an organization. Explore our latest customer analytics news, analysis, and advice.

Features

AI-Powered Dashboards Give Employees and Supervisors Real-Time Insight

The advent of work-from-home contact centers has spawned a tech revolution in operations management.

Tips and Technologies for Reducing Ad Fraud

New artificial intelligence algorithms can detect bogus or inflated ad traffic.

CRM Special Report: Vertical Markets Spotlight

A roundup of the CRM innovation taking place in eight important sectors.

CRM in Education: Vertical Markets Spotlight

Personalizing outreach across all life stages.

ViewPoints

Meeting the Audience Where They Are: Advertiser Strategies for a Multiplatform World

It's no longer just about the quantity of ad placements; the focus is increasingly shifting toward the quality and relevance of these placements.

Trends in Revenue Intelligence: Boost Sales Teams’ Efficiency through Automated Data Capture and AI

Companies are increasingly turning to advanced solutions that automate the capture of all interactions and activities, seamlessly integrating them into CRM systems.

How CSOs Can Maximize Sales Analytics’ Impact

Leaders should start by establishing a clear vision and road map.

Experiential CRM: Designing Immersive Marketing Campaigns and Events

This approach aims not just to engage customers but to envelop them in the narrative and values of a brand.

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CRM Embraces Financial Transactions Like Never Before

Pricing and payment processing are getting more integrated into CRM systems.

5 Ways AI Can Enhance CX (and EX)

It's not a question of will you use AI, but when.

Generative AI Is Everywhere, but Will Consumers Ever Fully Understand It?

Due to distrust and a lack of understanding, consumer adoption of genAI is lagging.

Achieving Trust in the Age of AI

Companies will learn that without enough precision data, mistrust of AI will persist.

Buyer's Guide Partners