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Segment Audiences Effectively

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Coursera

Segment Audiences Effectively

This course is part of multiple programs.

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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 engagement patterns to create more relevant audience segments

  • Apply demographic, behavioral, and profile-based rules in Klaviyo and HubSpot

  • Create dynamic segments that update as customer behavior changes

  • Build campaign-ready segments for loyalty, re-engagement, and lifecycle 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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There are 3 modules in this course

Effective personalization begins with understanding which audience characteristics actually influence engagement and conversion behavior. This module introduces practical segmentation approaches based on demographic, psychographic, and behavioral data within modern email marketing workflows. You will explore how marketers use engagement patterns to shape targeting decisions and build audience groups that support more relevant communication strategies. Through hands-on work in Klaviyo, the module emphasizes operational segmentation design rather than abstract customer theory. By the end of this module, you will be able to analyze audience engagement patterns and create segmentation criteria that support targeted lifecycle marketing campaigns.

What's included

2 videos3 readings2 assignments

Static audience lists quickly become outdated in fast-moving marketing environments where customer behavior changes continuously. This module focuses on dynamic segmentation strategies that automatically adapt to subscriber activity, profile updates, and engagement signals across HubSpot and Klaviyo. You will examine how ″always-on″ segmentation supports scalable personalization and more responsive lifecycle marketing workflows. The module emphasizes practical implementation and audience management processes used in real marketing operations. By the end of this module, you will be able to create and manage dynamic audience segments that update automatically based on behavioral and profile-based conditions.

What's included

1 video2 readings2 assignments

Modern segmentation workflows rely on profile-level data to create more precise targeting and lifecycle personalization strategies. This module introduces profile-based segmentation rules, including customer properties, logic conditions, and engagement criteria used to organize audiences for targeted campaigns. You will apply segmentation logic within Klaviyo and HubSpot while evaluating how profile attributes influence campaign relevance and automation decisions. The module emphasizes structured decision-making and scalable audience management practices across lifecycle marketing workflows. By the end of this module, you will be able to configure profile-based segmentation rules that support dynamic targeting and personalized customer engagement strategies.

What's included

2 videos2 readings3 assignments

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Instructor

ansrsource instructors
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.