AI Email Marketing Automation

In this lesson, you'll learn how to use AI (ChatGPT) to effectively generate and optimize email subject lines. You'll learn methods for crafting strategic prompts, explore different psychological angles, and refine AI-generated results for A/B testing.

This lesson explores how to use AI for audience segmentation to create more personalized and effective marketing campaigns. We'll cover the concept of a segmentation card, learn to create effective prompts for AI, and understand the human role in validating and refining AI-generated results.

This lesson helps you understand the strategic importance of the technical setup of a Klaviyo Welcome Series. You'll learn the core components of flow architecture, how to use AI to build a plan, and how to avoid common mistakes.

In this lesson, you'll learn how to use ChatGPT to build an effective nurture sequence. You'll learn the purpose of a nurture sequence, how to develop a multi-prompt template, and how to turn AI-generated text into a real, measurable marketing campaign.

In this lesson, you'll learn how to create an effective B2B outreach email brief with the help of ChatGPT. You'll learn why detailed instructions matter for AI and how to get high-quality, personalized results that address real business problems.

In this lesson, you'll learn how to use AI, specifically ChatGPT, to create effective abandoned cart recovery email campaigns. You'll learn how to identify real barriers, develop a diverse email sequence structure, and plan timing logic to increase sales and reduce losses.

In this lesson, you'll learn how to build a personalization variables table in Google Sheets with the help of AI. You'll learn why data is the foundation of personalization and how to use AI to assess risks and use cases, so your email campaigns are both effective and responsible.

In this lesson, you'll learn how to use an A/B Test Matrix to plan effective experiments in email marketing. You'll learn how ChatGPT helps prioritize hypotheses and produce measurable results, avoid common mistakes, and build repeatable workflows.

In this lesson, you'll learn how to use ChatGPT to re-engage inactive audiences and clean up your email list. You'll learn why a re-engagement campaign matters for deliverability and metrics, and how to build an effective, multi-step strategy with the help of AI.

This lesson explores the strategy for building a Lead Magnet Delivery Sequence that goes beyond simply delivering a file. You'll learn how to use AI to create a three-stage series that guides a customer from downloading a resource to taking a desired action, especially in a B2B context. The lesson emphasizes the importance of clear prompts and helps you reinforce this knowledge through hands-on practice.

In this lesson, you'll learn the concept of the ChatGPT Newsletter Repurposing card, which lets you turn a single existing content asset (blog post, webinar, case study) into multiple targeted email versions. The lesson covers how AI assists in this process and how to avoid generic, ineffective results.

This lesson covers how to optimize email send times based on segment, lifecycle stage, and offer type. You'll learn how to use ChatGPT to build a structured 'send time optimization brief' that combines historical data, hypotheses, and a testing plan, rather than relying on generic assumptions.

This lesson teaches you how to use Notion Canvas and ChatGPT to build a customer Lifecycle Map. You'll learn how to view your email automations as a unified system, uncover gaps, and create clear strategic context for your marketing campaigns.

In this lesson, you'll learn how to use AI, specifically ChatGPT, to standardize the quality assurance (QA) process before sending marketing campaigns. We'll cover why QA is critical, how to build an effective QA checklist, and how to integrate it into your workflow.

In this lesson, you'll learn how to use ChatGPT to analyze email marketing campaign results and create a Dashboard Insight Summary. You'll learn to translate data into business language, formulate recommendations, and critically evaluate AI-generated analysis.