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.

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.

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.