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URL: https://www.coursera.org/learn/customer-segmentation-and-analytics

⇱ Customer Segmentation and Analytics | Coursera


Customer Segmentation and Analytics

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Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

7 hours to complete
Flexible schedule
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

7 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Identify and define comprehensive buyer personas using data.

  • Analyze cross-tabulated data to uncover key customer segments.

  • Apply RFM segmentation to classify and prioritize customer groups.

  • Calculate incremental revenue and profitability from targeted segments to demonstrate financial value to stakeholders.

Details to know

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Recently updated!

April 2026

Assessments

11 assignments¹

AI Graded see disclaimer
Taught in English

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This course is part of the Market Research Analyst: AI, Power BI, SurveyMonkey skilled Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
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  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate from Coursera

There are 3 modules in this course

You will learn to convert raw customer and survey data into actionable segments tied directly to revenue and growth levers. This course introduces sophisticated persona-building, cross-tab and pivot analyses, and RFM (Recency, Frequency, and Monetary) segmentation so you can identify high-value cohorts and prioritize activation tactics. You'll practice extracting segments from both transactional and survey datasets, applying rigorous scoring and labeling conventions, and estimating incremental revenue from small-scale pilots. The curriculum focuses on translating these segmentation results into operational recommendations—including tailored retention, upsell, or reactivation campaigns—complete with simple lift estimates and implementation notes. You will prove that you can translate analytical outputs into actionable strategies and produce portfolio-ready documents showing that you can connect data to the bottom line.

By producing concise activation briefs and testing plans, you will learn to bridge the gap between analytic segmentation outputs and marketing or product execution, ensuring research recommendations can be implemented and measured for success. You will conclude this course with a high-impact project: executing a full RFM segmentation to calculate the profitability lift of specific customer segments. This process ensures you can move beyond simple data grouping to deliver evidence-based strategies that drive measurable business growth and customer lifetime value. This course provides the portfolio-ready artifacts necessary to demonstrate your ability to link data-driven insights directly to a company's bottom line.

Explore buyer‑segment analytics to sharpen market‑research, analysis, and marketing expertise. This hands‑on module teaches you to develop data‑driven buyer personas and master cross‑tabulation techniques for uncovering key customer groups. Through real‑world exercises, you'll interpret two‑way tables that link demographics to purchasing behavior, turning raw data into clear, actionable insights. You'll learn to translate those insights into strategic targeting recommendations that boost marketing effectiveness. By the end, you'll be equipped to deliver concise, data‑backed segment profiles that add immediate value to any data‑focused organization.

What's included

4 videos2 readings5 assignments

4 videosTotal 18 minutes
  • Defining the Buyer Persona5 minutes
  • A Practical Guide to Building a Persona5 minutes
  • Simple Tables Hold Big Insights4 minutes
  • Read a Cross-Tabulation Table5 minutes
2 readingsTotal 15 minutes
  • The Core Components of a Persona7 minutes
  • Understanding Cross-Tabulation for Customer Analysis8 minutes
5 assignmentsTotal 100 minutes
  • Your Segmentation Analysis Portfolio30 minutes
  • Hands-On Learning: Refine an Incomplete Buyer Persona20 minutes
  • Knowledge Check: Persona Essentials10 minutes
  • Hands-On Learning: Validate a Business Claim with Data30 minutes
  • Summarizing a Key Finding10 minutes

Explore customer data analytics with the RFM model to drive measurable financial results. Designed for aspiring analysts and marketers, this module teaches you to convert raw transaction data into actionable segments using spreadsheet exercises. Learn to identify high‑value customers, calculate profitability lifts from targeted campaigns, and present clear ROI evidence for finance reviews. By the end, you'll produce data‑driven recommendations that link marketing actions to bottom‑line growth, enabling optimized spend and increased profitability.

What's included

4 videos3 readings5 assignments

4 videosTotal 32 minutes
  • What is RFM Analysis?7 minutes
  • How to Calculate RFM Scores in a Spreadsheet10 minutes
  • Campaign ROI Isn't Enough6 minutes
  • How to Calculate Profitability Lift per Segment8 minutes
3 readingsTotal 24 minutes
  • The Anatomy of RFM: Defining Your Key Metrics8 minutes
  • From Scores to Segments: Creating Customer Personas8 minutes
  • Defining Profitability Lift: The True Measure of Success8 minutes
5 assignmentsTotal 70 minutes
  • Customer Analytics Report30 minutes
  • Hands-On Learning: Build Your First RFM Segments15 minutes
  • Knowledge Check: RFM Concepts Check5 minutes
  • Hands-On Learning: Analyze the Campaign Results15 minutes
  • Knowledge Check: Measuring Lift5 minutes

This module provides a complete, hands-on walkthrough of a real-world analytics project. You will play the role of an analyst tasked with using RFM segmentation to identify high-value customer groups and proposing a targeted pilot campaign to drive revenue. We begin by framing the business case for this work, then move to defining the RFM framework and the project requirements. Through a step-by-step screencast, you will learn how to perform the analysis in a spreadsheet before applying your skills in a final graded project to produce a full decision package for marketing leadership.

What's included

2 readings1 assignment

2 readingsTotal 7 minutes
  • Why This Project Matters3 minutes
  • Project Requirements4 minutes
1 assignmentTotal 110 minutes
  • Project: Segment Analysis and Campaign ROI110 minutes

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Frequently asked questions

No. This course is designed for beginners and provides step-by-step guidance on using data to understand customers, with no complex programming required.

You'll gain practical skills in data analysis techniques, segmentation methods, and strategies for translating data insights into actionable business recommendations.

This course builds skills valuable in marketing, product management, business analysis, and customer strategy roles across various industries.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Financial aid available,

¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.