Email Automation: Lifecycle Flows and Deliverability
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Email Automation: Lifecycle Flows and Deliverability
This course is part of Email Marketing Mastery -From Strategy to AI Automation Specialization
Instructor: Board Infinity
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What you'll learn
Design automated lifecycle email journeys using customer behaviour data
Configure email authentication and improve sender reputation
Build multi-step drip campaigns with segmentation and personalization
Analyse and optimize email automation performance using testing
Skills you'll gain
- Process Optimization
- Marketing Automation
- Performance Metric
- Automation
- Email Security
- Customer Retention
- Journey Mapping
- Authentications
- Customer Engagement
- Performance Analysis
- Personalized Campaigns
- Email Marketing
- Email Automation
- Content Performance Analysis
- A/B Testing
- Workflow Management
- Performance Measurement
- Campaign Management
Tools you'll learn
Details to know
April 2026
16 assignments
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There are 4 modules in this course
Learn how to design and automate email campaigns that improve customer engagement, retention, and deliverability. In this practical email marketing automation course, you will build lifecycle-based workflows, manage sender reputation, and optimize campaigns using data-driven strategies and modern tools.
In Module 1, you will begin by understanding lifecycle email marketing and how automated journeys support customer acquisition and retention. You will map customer stages and design flows such as welcome, nurture, and reactivation campaigns aligned with user intent. Next, you will focus on deliverability and sender reputation. You will learn how to configure SPF, DKIM, and DMARC, apply IP warm-up strategies, and maintain list hygiene to ensure consistent inbox placement and campaign performance. You will then design automated journeys using tools like Mailchimp, Klaviyo, and HubSpot. This includes building multi-step drip campaigns with segmentation, conditional logic, and dynamic content while tracking performance through analytics dashboards. Finally, you will apply testing and optimization techniques such as A/B testing, inbox diagnostics, and workflow analysis to continuously improve automation results. By the end, you will: • Design automated lifecycle email journeys and workflows • Build segmented subscriber lists using ethical practices • Create multi-step drip campaigns with personalization • Run A/B tests and analyse campaign performance • Optimize email automation using data and deliverability insights This course is ideal for: • Beginners learning email marketing automation • Digital marketers improving campaign performance • Entrepreneurs managing customer engagement workflows • Marketing students building practical automation skills Start creating automated email campaigns and grow your marketing skills with confidence. Disclaimer: This is an independent educational resource created by Board Infinity for informational and educational purposes only. This course is not affiliated with, endorsed by, sponsored by, or officially associated with any company, organization, or certification body unless explicitly stated. The content provided is based on industry knowledge and best practices but does not constitute official training material for any specific employer or certification program. All company names, trademarks, service marks, and logos referenced are the property of their respective owners and are used solely for educational identification and comparison purposes.
This module builds the foundation for understanding how email automation supports every stage of the customer journey. Learners explore the role of lifecycle marketing within modern retention strategies and discover how automation drives timely, relevant communication. The module begins by introducing career pathways in email automation, emerging tools, and the growing impact of AI in retention marketing. It then guides learners through mapping customer journeys from awareness to loyalty, identifying behaviour patterns, and aligning messaging with intent. Through structured lessons, students examine essential flow types—welcome, nurture, cart abandonment, win-back, and reactivation—while learning how behavioral triggers and data signals initiate each sequence. The module concludes with practical instruction on building lifecycle blueprints, visualizing automation paths, and ensuring each flow supports customer needs at the right moment. By the end of Module 1, learners will have a clear understanding of lifecycle strategy and the foundational flows that power effective email automation programs.
What's included
10 videos5 readings4 assignments1 discussion prompt1 plugin
10 videos•Total 74 minutes
- Introduction to the Course•3 minutes
- Automation in the Modern Marketing Stack•9 minutes
- Roles and Skills in Email Automation•10 minutes
- Emerging Tools and AI in Lifecycle Marketing•8 minutes
- Mapping the Customer Journey•7 minutes
- From Awareness to Loyalty•8 minutes
- Lifecycle Goals and KPIs•7 minutes
- Behavioral Triggers and Data Signals•10 minutes
- Common Automation Sequences•8 minutes
- Aligning Email Goal with Business Objectives•3 minutes
5 readings•Total 60 minutes
- Syllabus•10 minutes
- Glossary•5 minutes
- The Rise of Automation in Retention Marketing•15 minutes
- How Lifecycle Marketing Drives Retention•15 minutes
- Effective Triggers Across Customer Journeys•15 minutes
4 assignments•Total 105 minutes
- Career Scope in Email Automation•15 minutes
- Understanding Lifecycle Marketing•15 minutes
- Key Automation Flows and Triggers•15 minutes
- Lifecycle Email Fundamentals•60 minutes
1 discussion prompt•Total 5 minutes
- Which lifecycle email should you automate first?•5 minutes
1 plugin•Total 5 minutes
- Quick Course Check-In•5 minutes
This Module provides a practical, technical deep dive into how to ensure automated emails consistently reach the inbox. Learners begin by understanding the fundamentals of email authentication, including how SPF, DKIM, and DMARC work together to verify sender identity and protect domain reputation. The module then explores the key factors that influence sender reputation—engagement signals, list quality, complaint rates, and sending patterns—along with step-by-step guidance on IP and domain warm-up strategies. Students also learn how to identify and avoid common spam triggers through optimized content, cleaner HTML, and trustworthy sending practices. The module concludes with inbox placement testing, allowing learners to analyze deliverability reports, diagnose issues, and implement corrective actions. By the end of this Module, learners will be equipped with the technical skills and diagnostic frameworks needed to maintain strong deliverability, protect reputation, and ensure that automated campaigns reliably land in the inbox.
What's included
7 videos3 readings4 assignments1 plugin
7 videos•Total 57 minutes
- Understanding Email Authentication•9 minutes
- Authentication Troubleshooting•10 minutes
- What Affects Sender Reputation•8 minutes
- IP and Domain Warm-Up•6 minutes
- Common Spam Triggers•9 minutes
- Content Optimization for Deliverability•7 minutes
- Inbox Placement Testing•9 minutes
3 readings•Total 45 minutes
- Authentication Setup Guide for Marketers•15 minutes
- Maintaining a Healthy Sender Reputation•15 minutes
- Deliverability Auditing Techniques•15 minutes
4 assignments•Total 105 minutes
- Email Authentication Essentials•15 minutes
- Reputation and Warm-Up Best Practices•15 minutes
- Avoiding Spam Filters•15 minutes
- Deliverability and Sender Reputation•60 minutes
1 plugin•Total 5 minutes
- Building Email Authentication & Deliverability: Complete Coursera Plugin Development•5 minutes
This module focuses on the practical skills required to design, build, and manage automated email journeys across major marketing platforms. Learners begin by comparing leading ESPs such as Mailchimp, Klaviyo, and HubSpot, gaining an understanding of their workflow capabilities, components, and best-use cases. The module then guides learners through constructing multi-step campaigns using branching logic, conditional paths, and dynamic content to personalize messages based on user behavior. Students also learn how to manage workflow timing, ensuring that delays, triggers, and message cadences support engagement rather than overwhelm subscribers. The final lessons emphasize measuring performance using analytics dashboards, identifying the right success metrics, and troubleshooting underperforming flows. By the end of this Module, learners will be able to build platform-agnostic automation systems, personalize journeys at scale, and validate performance through data-driven insights.
What's included
9 videos3 readings4 assignments1 discussion prompt
9 videos•Total 77 minutes
- Comparing ESPs (Mailchimp, Klaviyo, HubSpot)•7 minutes
- Key Workflow Components•8 minutes
- Platform-Specific Best Practices•10 minutes
- Building Conditional Logic•8 minutes
- Adding Dynamic Content•10 minutes
- Managing Workflow Timing•9 minutes
- Defining Success Metrics•8 minutes
- Using Analytics Dashboards•9 minutes
- Troubleshooting Underperforming Flows•9 minutes
3 readings•Total 35 minutes
- Choosing the Right ESP for Automation•15 minutes
- Creating Advanced Multi-Step Journeys•15 minutes
- Case Study•5 minutes
4 assignments•Total 105 minutes
- Overview of Automation Tools•15 minutes
- Creating Multi-Step Campaigns•15 minutes
- Measuring Flow Effectiveness•15 minutes
- Building Automated Journeys Across Platforms•60 minutes
1 discussion prompt•Total 5 minutes
- How would you build a “smart” journey in any ESP?•5 minutes
This Module equips learners with the skills to diagnose, test, and optimize automated email journeys for long-term performance. The module begins with inbox placement testing, covering how to use seed lists, analyze deliverability reports, and identify issues that cause messages to land in spam. Learners then explore workflow QA techniques, including validating triggers, reviewing time delays, and identifying common automation logic errors that disrupt customer journeys. The module moves into optimization strategies, showing how to run iterative A/B tests, interpret engagement data, and refine workflows for improved retention and conversions. Students also learn how to scale automations responsibly while maintaining deliverability and subscriber trust. By the end of this Module, learners will know how to continuously monitor flow performance, troubleshoot deliverability gaps, and implement improvement cycles that keep automated email programs effective and resilient over time.
What's included
10 videos3 readings4 assignments1 plugin
10 videos•Total 79 minutes
- Using Seed Lists for Testing•7 minutes
- Analyzing Deliverability Reports•8 minutes
- Resolving Spam Placement Issues•10 minutes
- Testing Automation Logic•9 minutes
- Time Delay and Trigger Validation•9 minutes
- Common QA Mistakes•8 minutes
- Iterative Testing for Better Results•9 minutes
- Leveraging Engagement Data•11 minutes
- Scaling Automations for Growth•6 minutes
- Course Closure - Gratitude !•3 minutes
3 readings•Total 45 minutes
- Deliverability Testing Frameworks•15 minutes
- Quality Assurance for Automated Workflows•15 minutes
- Continuous Optimization Strategies•15 minutes
4 assignments•Total 105 minutes
- Inbox Testing and Spam Audits•15 minutes
- Workflow Testing and QA•15 minutes
- Optimization and Continuous Improvement•15 minutes
- Troubleshooting, Optimization, and Testing•60 minutes
1 plugin•Total 5 minutes
- Email Automation Mastery: Diagnostics & Performance•5 minutes
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Frequently asked questions
This course teaches you how to design, implement, and optimize automated email journeys across the customer lifecycle. You will learn lifecycle strategy, email automation workflows, drip campaigns, authentication setup (SPF, DKIM, DMARC), deliverability optimization, and performance analytics using modern tools.
Yes. The course begins with lifecycle email fundamentals and gradually progresses to advanced topics like sender reputation, inbox placement diagnostics, and AI email automation. No prior technical experience is required.
Yes. You will design structured drip email campaigns such as welcome series, nurture flows, cart abandonment sequences, reactivation campaigns, and loyalty journeys using behavioral triggers and segmentation.
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