Coursera

CRM Analytics Fundamentals

Coursera

CRM Analytics Fundamentals

Included with Coursera Plus

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

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Analyze CRM data to track lead progression and lifecycle stages

  • Calculate conversion rates and identify pipeline bottlenecks

  • Segment audiences using CRM data for targeted communication

  • Design automated workflows based on customer behavior and intent

Details to know

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Recently updated!

June 2026

Assessments

5 assignments¹

AI Graded see disclaimer
Taught in English

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Build your subject-matter expertise

This course is part of the Advanced Campaign & Channel Analytics Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 2 modules in this course

This module enables you to analyze CRM pipeline data to track lead progression, identify conversion bottlenecks, and evaluate customer lifecycle movement from first contact to closed deal. You will work with core CRM metrics such as MQLs, SQLs, conversion rates, and pipeline velocity to understand where leads are advancing, stalling, or being lost. The module also focuses on practical pipeline diagnostics using leaky bucket analysis, funnel reporting, and velocity tracking rather than abstract CRM terminology. By the end, you will be able to calculate stage-to-stage conversion rates, identify the highest-impact pipeline bottlenecks, and communicate actionable CRM insights tied to revenue outcomes.

What's included

2 videos3 readings2 assignments

This module enables you to use CRM data to build audience segments and design personalized marketing automation workflows that improve engagement and retention. You will define dynamic customer segments using fields such as lead score, purchase history, and engagement recency, then apply those insights to trigger targeted automation sequences. The module also emphasizes practical workflow design concepts, including trigger conditions, sequential actions, suppression rules, and exit criteria using tool-agnostic CRM logic. By the end, you will be able to design data-driven personalization workflows, create meaningful customer segments, and align CRM messaging strategies with customer lifecycle behavior and business goals.

What's included

1 video2 readings3 assignments

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