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Coursera

Enhance Customer Retention

Coursera via Coursera

Overview

Google, IBM & Meta Certificates – 40% Off
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Customer retention is one of the most powerful drivers of long-term business growth. In this course, you’ll learn how to identify churn-risk signals, design win-back campaigns, and build structured retention plans that keep customers engaged over time. You’ll begin by analyzing behavioral signals such as declining email engagement and extended purchase intervals to detect churn risk early. Using frameworks like RFM (Recency, Frequency, Monetary), you’ll learn how to prioritize customers based on both engagement and revenue impact. Next, you’ll design targeted win-back programs that re-engage lapsed customers. You’ll explore how to structure multi-step email sequences, balance incentives with content, and personalize outreach based on customer history. You’ll also work with tools like HubSpot and Mailchimp to build churn reports and automated reactivation journeys. Finally, you’ll move from reactive campaigns to proactive retention planning. You’ll create intervention plans that map signals to actions, define trigger thresholds, and measure outcomes across different customer segments. This course is designed for CRM specialists, lifecycle marketers, retention marketers, email marketers, and other marketing professionals responsible for customer engagement and retention. A basic understanding of marketing concepts and familiarity with email or CRM tools is helpful for success in this course. Through hands-on labs and real-world scenarios in an e-commerce context, you’ll build retention strategies that improve customer lifetime value, reduce churn, and support sustainable business growth.

Syllabus

  • Retention: Signals and Patterns
    • This module focuses on identifying customer inactivity signals and churn-risk behaviors that impact retention outcomes. Learners explore how engagement trends, usage patterns, and customer analytics reveal early indicators of disengagement, and develop the ability to interpret retention data before customers are lost.
  • Retention: Win-Back Programs
    • This module focuses on developing win-back and reactivation strategies for inactive customers. Learners explore how incentives, personalized messaging, and automated outreach campaigns can rebuild engagement and develop judgment for selecting the right intervention approach based on customer behavior and retention goals.
  • Retention: Intervention Planning
    • This module focuses on creating proactive retention intervention plans that support repeat purchase behavior and long-term engagement. Learners explore how triggers, workflows, and communication tracks are structured across retention platforms, and develop the ability to design coordinated retention strategies that improve customer loyalty and reactivation outcomes.

Taught by

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