Overview

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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.

Syllabus

Identify Buyer Segments with Data Analytics

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.

Segment Customers, Boost Profitability

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.

Segment Analysis and Campaign ROI

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.