Customer Analytics: Segmentation, Journey and Value [EN]

Customer Analytics: Segmentation, Journey and Value – taught by Mike Pritula (also listed under the PapaHR brand) – is a comprehensive Udemy course that equips marketers, product managers, and analysts with the practical tools to turn raw customer data into actionable business decisions. Updated July 2026, the program focuses on segmenting populations, calculating lifetime value, designing journey maps, and measuring churn, all while delivering a Udemy certificate of completion. Whether you search for a free customer analytics course, an Udemy course on segmentation, or simply want to learn customer analytics online, this training provides a step‑by‑step framework that bridges the gap between dashboards and real‑world impact.

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What You'll Learn

• Build detailed customer segments using demographic and behavioral characteristics to uncover hidden insights.
• Master lifetime‑value calculations and the ROI of acquisition spend for data‑driven budgeting.
• Learn how to design a complete journey map and attach targeted questionnaires at each touchpoint.
• Understand retention metrics, including intent‑to‑stay scores and root‑cause analysis of churn.
• Create key‑driver analyses and run regression models directly in a spreadsheet environment.
• Implement controlled experiments with a proper control group to prove causation rather than correlation.
• Apply NPS, CSAT, CES, and first‑contact resolution metrics without confusion, and interpret them for strategy.
• Analyze churn cost and build a persuasive business case to reduce churn and improve profitability.

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Course Details

• Instructor: Mike Pritula (PapaHR)
• Rating: 5.0 stars
• Duration: Not disclosed – on‑demand video content with 42 lessons
• Level: Not specified (suitable for beginners to intermediate analysts)
• Language: English (en‑US)
• Enrolled students: 168,826
• Last updated: July 2026
• Certificate: Yes, upon completion
• Includes: Lifetime access to all lessons, active instructor support in Q&A, Udemy Certificate of Completion

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What This Course Covers

Foundations of Customer Analytics

• Core indicators: Net Promoter Score (NPS), Customer Satisfaction (CSAT), Customer Effort Score (CES), and first‑contact resolution
• Audit techniques for journey mapping and service‑strategy alignment
• Comparison of omnichannel vs. self‑service models and their impact on metrics

Journey Mapping & Experience Design

• Stages and touchpoints of a customer lifecycle
• Building a visual journey map with channel selection and tone guidelines
• Designing stage‑specific questionnaires to capture actionable feedback

Research & Survey Design

• Types of surveys, question design, and scaling methods
• When open‑ended questions add value and how to analyze free‑text feedback with language models
• Translating survey findings into concrete improvement plans

Advanced Analytical Techniques

• Segmentation methods and extracting insights from each segment
• Lifetime value and acquisition‑cost calculations
• Spreadsheet‑based key‑driver analysis, correlation, multiple regression, and forecasting with trend lines

Churn Management & Business Case

• Measuring churn, intent to stay, and reasons for leaving
• Costing churn and constructing a data‑backed business case for reduction programs
• Designing experiments with control groups to validate churn‑reduction initiatives

Revenue & Funnel Optimization

• End‑to‑end funnel analysis from acquisition to retention
• Identifying revenue leaks and aligning payback periods with lifetime value
• Building a 90‑day rollout plan for operational analytics and forecasting deal quality

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Who Should Take This Course

• Analysts who receive dashboards but need a structured method to answer business questions.
• Customer‑success leads who report NPS and want deeper insight into driver metrics.
• Marketing managers requiring lifetime‑value calculations to justify acquisition budgets.
• Product managers tasked with journey mapping and drop‑off analysis across digital touchpoints.
• Operations leaders looking to quantify churn costs and develop reduction strategies.

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Prerequisites

• No prior experience needed — this course is beginner‑friendly.
• Basic familiarity with Excel or any spreadsheet tool is recommended for hands‑on regression and forecasting exercises.

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Why Enroll in This Course

The course delivers a practical, end‑to‑end framework that transforms raw customer data into strategic decisions, a rarity among generic analytics tutorials. A free coupon is currently available, offering 100 % off for a **limited