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This is the free first lesson. Get full access — request a demo or sign in.
In this Data-Driven Customer Journey Optimization course, you’ll learn how to use metrics to understand what works and where customers struggle. You’ll also explore how to group customers and adjust their experience based on their needs. And we’ll discuss how to run simple tests that help improve each step of the journey.
You’ll understand how to collect valuable data from both internal systems and customer feedback. The course demonstrates how to analyze this data using tools such as heatmaps and funnel reports. You’ll learn how to track common metrics, such as CSAT, NPS, and CLV, and use them to understand customer behavior.
This course will also show you how to group customers by behavior and preferences. From there, you’ll explore how to personalize messages and set journey triggers. You’ll know how to decide when automation or a human touch works best.
By the end of this course, you’ll build simple A/B tests to track results and act on insights. You’ll learn how to choose which changes to make. You’ll see how to roll those changes out with your team and keep improving over time.
You'll learn how to use metrics to understand the customer journey, collect and analyze data from internal systems and customer feedback, segment and personalize customer experiences, run A/B tests, and prioritize and implement improvements based on insights.
The course covers tracking common metrics such as CSAT, NPS, and CLV, and using them to understand customer behavior.
The course demonstrates analyzing data using tools such as heatmaps and funnel reports, applying behavioral segmentation, and building simple A/B tests to track results.
You'll gain skills in A/B testing, behavioral segmentation, and working with key performance indicators (KPIs).
The course shows you how to decide when automation or a human touch works best in the customer journey.