Build smarter campaigns, automate workflows, and boost performance with AI-driven email strategies.
Special Spring Pricing: Regularly $1000 is now 50% off—$500. Enroll here.
Course Overview:
Artificial Intelligence is transforming email marketing, but most marketers are stuck between hype and overwhelm.
They’re experimenting with prompts… testing tools… trying new workflows… but unsure how to translate AI into measurable performance gains.
This two-part intensive program is designed for email marketers who need clarity, structure, and tactical execution. You won’t be dropped into a snake pit of theory and told to “figure it out.” Instead, you’ll learn structured systems you can immediately apply to segmentation, copy, testing, reporting, optimization, and governance, all tied directly to your business KPIs.
By the end of this series, you will not just “use AI.” You’ll integrate it into your email workflow to save time, increase relevance, and improve performance with confidence.
What You’ll Walk Away With:
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- ✔ A repeatable prompt framework that improves segmentation, testing, and copy performance.
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- ✔ Structured AI workflows that save multiple hours per campaign.
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- ✔ A smarter experimentation roadmap (A/B and multivariate testing done properly).
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- ✔ Automated reporting and insight extraction systems.
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- ✔ A clear AI tool landscape map (what to use, when, and why).
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- ✔ Governance and brand safety systems to protect your organization.
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- ✔ Tactics you can implement the very next day.
Flexibility to Fit Your Schedule:
Can’t make it to the live session? No problem. We’ll send the workshop video, workbooks, and supplementary materials shortly after recording so you can catch up, revisit, or reinforce your learning.
Module 1 — Prompt Mastery for High-Performance Email Marketing.
Most marketers are using AI like a junior assistant.
They ask it to write subject lines, summarize reports, or draft nurture emails, and then wonder why the output feels generic.
This module teaches you how to use AI like a senior lifecycle strategist.
In this 2-hour deep dive, you’ll learn how to engineer structured prompts that embed audience psychology, commercial goals, testing logic, and brand constraints, turning AI into a strategic partner for email performance.
This module is about adding layers of maturity to your prompt engineering.
Key Takeaways:
You will learn how to:
- Use Role-Based Prompt Engineering.
Assign AI strategic roles (experimentation lead, lifecycle architect, behavioral analyst) to produce higher-quality, more structured output. - Build Behavior-Driven Segmentation Prompts.
Generate clustering logic, churn-risk identification, and executable segmentation frameworks you can deploy inside your ESP immediately. - Design Hypothesis-Led Testing Frameworks.
Create A/B and multivariate testing prompts that isolate variables properly, define success metrics, and prioritize based on impact. - Generate Conversion-Ready Copy Variants at Scale.
Produce segment-specific subject lines, objection-handling sequences, executive B2B messaging, and psychologically grounded CTAs. - Extract Actionable Insights from Campaign Data.
Turn raw performance metrics into optimization roadmaps, next-test recommendations, and executive-ready summaries in minutes. - Build a Reusable Prompt Library for Your Team.
Create structured templates for segmentation, testing, reporting, governance, and campaign architecture. - Eliminate “AI-Sounding” Output.
Learn how to constrain tone, embed brand guidelines, and prevent generic copy. - Integrate Prompting into Real Campaign Workflows.
Move beyond isolated experiments and embed structured AI prompts into your day-to-day operations.
Module 2 — AI Infrastructure, Experimentation & Performance Systems.
In Module 2, we show you how to operationalize AI.
This session focuses on scale, integration, and systems. AI becomes embedded into your testing culture, analytics infrastructure, reporting workflows, and governance framework.
You will leave with a clear understanding of how to integrate AI responsibly into your organization — improving decision-making, experimentation velocity, and lifecycle maturity.
Key Takeaways:
You will learn how to:
- Understand the AI Technology Landscape for Email.
Navigate ESP-native AI, CDPs, predictive scoring tools, experimentation platforms, creative AI tools, and analytics copilots. - Build a Structured Experimentation Roadmap.
Move from random A/B tests to disciplined, hypothesis-led testing systems aligned with revenue and engagement KPIs. - Apply Multivariate Testing Properly.
Understand when it’s appropriate, how to protect statistical power, and how to avoid diluted insights. - Accelerate Reporting & Insight Extraction.
Automate executive summaries, detect engagement decay patterns, identify churn signals, and flag performance anomalies. - Implement Advanced AI Use Cases Beyond Copy.
- Predictive churn journeys.
- Send-frequency optimization.
- Account-level engagement modeling (B2B).
- AI-assisted product recommendation logic.
- Image and creative generation workflows.
- Build Human-in-the-Loop Governance Systems.
Protect brand voice, compliance, and data boundaries while scaling AI safely. - Assess Your AI Email Maturity Level.
Identify where your team currently sits and build a roadmap to progress. - Present AI Strategy to Leadership Confidently.
Translate AI capability into commercial impact and operational efficiency.
How to Convince Your Boss Why You Should Take this Class:
If you need internal approval, here are five talking points:
- This course directly supports revenue KPIs by improving segmentation accuracy, testing discipline, and conversion optimization.
- It reduces production time per campaign by up to 30–50%, freeing team capacity. Efficiencies will allow you to focus on strategy and insights.
- It builds internal AI capability safely, reducing reliance on external consultants.
- It establishes governance systems to mitigate AI risk.
- It equips the team to make smarter technology investment decisions.
The Presentations:
All attendees receive full video presentations and slide decks from both modules, including:
- Structured prompt frameworks.
- Case Studies to take away and learn deeper.
- Exercises to complete back at the office with your teams.
- Testing design models.
- AI workflow diagrams.
- Technology ecosystem maps.
- AI maturity frameworks.
These decks are designed for reference and internal sharing.
Download Material:
Participants receive:
- Recorded video of the presentation with slides and audio.
- PowerPoint presentations as PDFs.
- Reusable Prompt Engineering Templates.
- A Testing Roadmap Framework.
- AI Governance Checklist.
- Campaign Optimization Worksheets.
- AI Tool Landscape Reference Guide.
- Sample Segmentation & Reporting Prompts.
- Post-course implementation checklist.
These materials are designed to be implemented immediately.
The Presenter:
Komal Helyer
Komal is Managing Director at global CRM agency Profusion, and an award-winning Fractional CMO. She has over 23 years of experience in email, martech, and digital marketing. Previously VP of Marketing at Pure360, Komal now spearheads the go-to-market, retention, and brand strategies for many B2B, eCommerce, Financial, and Travel businesses and agencies.
As a key industry thought leader and events speaker, Komal is a sub-editor @ The Modern Retail and writes for many other publications, including Forbes. She is also the judge at many prestigious awards, including the DMA Awards & eCommerce Awards. She’s proud to be an instructor for the Institute of Direct Marketing (IDM) and the DMAnc.org, teaching numerous marketing courses including B2B Marketing, Digital CRM, and Email Marketing.
The instructor was a wealth of knowledge, and you could clearly tell that she was excited to share it with us.
The presenter provided up-to-date, usable information that we could bring back to our daily jobs to improve our productivity and marketing efforts. This class was extremely informative.
Workshop dates and times:
SPRING 2026
Module 1: Prompt Mastery for High-Performance Email Marketing.
Tuesday, June 2nd, 2026. 09:00 – 11:00AM PDT.
Module 2: AI Infrastructure, Experimentation & Performance Systems.
Wednesday, June 17th 2026. 09:00 – 11:00AM PDT.
