May 1, 2024
Updated May 11, 2025
18 minute read
Customer analytics is the process of collecting, analyzing, and interpreting customer data to understand customer behavior, preferences, and trends. This understanding allows businesses to make data-driven decisions to improve customer acquisition, engagement, retention, and overall profitability. It involves a range of techniques, from simple descriptive statistics to complex predictive modeling, all aimed at providing a deeper insight into the customer lifecycle. For those new to the concept, think of it as a business trying to understand its customers really well, much like a shopkeeper in a small town knows everyone's favorite items and shopping habits, but on a much larger and more systematic scale.
nqncq5|
Find a path to becoming a Customer Analytics. Learn more at:
OpenCourser.com/topic/nqncq5/customer
Reading list
We've selected two books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Customer Analytics.
Provides a practical guide to customer analytics, showing businesses how to use data to improve customer satisfaction, increase sales, and make better decisions. It great resource for businesses of all sizes who want to learn more about customer analytics.
Provides a comprehensive overview of customer analytics, covering everything from data collection and analysis to interpretation and application. It great resource for beginners who want to learn the basics of customer analytics.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/nqncq5/customer