Top 3 Uses for AI in Email Marketing and How to Use Them (Download the Guide)

You probably know this already, but we’re going to say it again: Using AI in email marketing strategy can produce much more than subject lines and message copy! Generative AI for email marketers can solve three major problems:

● Cadence: Answer the question marketers always ask. How much email is “too much?”
● Attrition: Understand why subscribers and customers disengage, overtly or silently, and how to retain and re-engage them.
● Reporting: Combine data sources and use new tools to create more informative and insightful reports in less time.

Sounds great, but how does that work? You’ll discover how to add these concepts to your email marketing strategy in RPE Origin’s newest guide, Using AI to Manage Cadence, Attrition, and Reporting in Email by CEO Ryan Phelan.

You can download the guide now for free or read on for a quick look at what you’ll find in the guide on each of these thorny issues:

1. 3 cadence questions Generative AI for marketers can help you answer

Application: Email cadence optimization helps you discover the best email sending frequency and schedule for each customer persona and sending schedule. You’ll reach as many customers as possible without causing email fatigue and increasing churn.

It’s hard to know when “just enough” frequency crosses the line to become “too much.” Some segments tolerate higher frequency more than others. Generative AI for marketers can help you analyze customer email behavior to find those people. AI can help you answer these three questions:

1. How do my different customer groups differ in their frequency tolerances?

Using the sending, purchase, and engagement history you upload to your model, AI can help you detect when interest falls off in each customer segment and create an email marketing strategy to adjust your cadence.

2. Do I email too much?

AI can help you analyze your data to learn when attrition becomes a factor. This can help you learn whether you’re over-mailing.

3. How many other emails are my customers receiving from my company besides mine?

Cadence should include consideration for all of the emails your customers receive from your company, not just the message you send. This can give you grounds for asking other divisions to cut back cadence and reduce your customers’ cross-pollination within your company.

2. 2 subscriber attrition questions Generative AI for marketers can help you answer

Application: Use for customer attrition analysis to recognize email list attrition signals and develop an effective email marketing strategy that addresses the many reasons why customers and subscribers disengage.

Using AI in email marketing strategy can help you uncover list attrition signals and mobilize a targeted defense.

1. When did they attrite?

This is fairly simple. How many emails did we send before they dropped off? But it can lead to a whole new way of categorizing customers.

You most likely can include the data you discovered in your email cadence analysis to find attrition points, but for the most accurate view, you will need to layer in purchase or intent data. Try to find out if your customers made one purchase and then disappeared.

2. How can I use AI to win back my attrited customers?

AI can help you determine which offers or strategies work. You could do this with a manual win-back program and testing different offers, but why? Ask your AI model to create deciles of attrited customers using purchase history. Then, call on AI for email marketing again to help you work out different offer strategies that appeal to different customers.

3. AI-driven email reporting

Application: Consolidate your reporting for your use and distribute it to your team, executives, and others in your organization.

I use Microsoft Copilot to create complex, time-saving formulas for my spreadsheets. This helps my work in the email world, where we have lots of data in many different places. With Copilot, I can synthesize all that data into dashboards that everybody can understand, from my team members to our clients’ executives, and this is essential in planning successful email marketing strategy and execution.

With agentic AI, your AI model can update your dashboard data regularly without waiting for a prompt. Some companies even have entire reporting structures as agentic AI routines, running constantly in the background and publishing to their clients for consumption and guidance.

Wrapping up

We designed this guide, and others in this series, to help you see the tremendous power that advanced AI in email marketing strategy can put in your hands. That old excitement we felt in the early days of email is back – we just need to discover all of the possibilities that AI promises.

Download your free guide now! Want to know more or talk about how to apply our ideas to your own email marketing? We’re just a no-obligation phone call or email away!