Coursera

Optimize CRM for Marketing

Coursera

Optimize CRM for Marketing

This course is part of multiple programs.

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 health and identify issues affecting campaign performance

  • Apply data cleaning techniques like deduplication, standardization, and enrichment

  • Build CRM workflows to maintain data accuracy and prevent data decay

  • Diagnose and prioritize CRM data issues before launching campaigns

Details to know

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Recently updated!

June 2026

Assessments

7 assignments¹

AI Graded see disclaimer
Taught in English

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  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 3 modules in this course

Effective marketing campaigns depend on reliable CRM data. This module introduces the three core dimensions of CRM data health: completeness, accuracy, and recency and shows how weak data quality creates workflow failures, broken personalization, unreliable reporting, and poor campaign targeting. By the end of this module, learners will be able to diagnose common CRM data problems, assess their impact on campaign performance, and conduct a structured data health audit in HubSpot.

What's included

3 videos3 readings2 assignments

Identifying CRM data problems is only valuable if teams can fix them systematically. This module focuses on the core CRM cleaning techniques used in marketing operations: deduplication, standardization, and enrichment. Learners explore how to sequence cleanup activities efficiently, apply bulk updates in HubSpot, and document cleanup decisions to support repeatable processes. By the end of this module, learners will be able to execute a structured CRM cleanup that improves campaign readiness and data reliability.

What's included

1 video2 readings2 assignments

A one-time cleanup does not prevent future data decay. This module introduces the workflow logic patterns that keep CRM data accurate over time, including property update triggers, lifecycle stage progression rules, duplicate monitoring, and re-enrollment conditions. Learners examine how automated maintenance workflows reduce recurring manual cleanup and sustain long-term campaign readiness. By the end of this module, learners will be able to design CRM maintenance workflows in HubSpot that continuously support data quality and operational efficiency.

What's included

1 video2 readings3 assignments

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Instructor

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277 Courses18,009 learners

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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.