This course contains the use of artificial intelligence.
Many companies have Customer Success in place.
Fewer can clearly explain how it works as a system or how decisions are actually made.
This course looks at Customer Success as a manageable business model, not as a collection of activities, reports, or best practices.
The focus is on structure, logic, and decision-making across the customer lifecycle.
What this course covers
Customer Lifecycle as a management model, not a customer journey
How and where customer value is lost before churn becomes visible
How to assess Customer Success as a system
Metrics that support management decisions
Processes and playbooks as decision frameworks
How Customer Success becomes operational in day-to-day work
The course is built as one continuous practical case rather than isolated lessons.
Who this course is for
This course is designed for:
Customer Success managers and leaders
Founders and operators responsible for retention and growth
Product and operations roles working closely with Customer Success
It assumes prior experience working with customers and business processes.
How the course is structured
You will work with a single business case throughout the course.
Each module builds on the previous one, moving from understanding the current state to defining lifecycle logic, metrics, and decision frameworks.
The goal is not to provide templates, but to develop structured thinking.
Course outcome
By the end of the course, you will have a clearer understanding of how Customer Success functions as a system, where it loses control, and what prevents it from scaling.
Enroll when you want a structured, practical way to think about Customer Success as a business system.
This course contains a promotion
