Beyond Text: My Journey Personalising Email Learning with AI

by | Mar 20, 2026

Right, let’s dive into something I’ve been absolutely buzzing about: hyper-personalised email courses. Forget those generic, one-size-fits-all lessons clogging up inboxes. We’re talking about creating email learning experiences so uniquely tailored, they feel crafted specifically for each individual. And the secret sauce? Data, AI, and a whole heap of creativity.

Knowing Your Audience: Data is King (or Queen!)

Before even thinking about content, we need to understand our learners. This isn’t just about demographics; it’s about learning preferences. Do they devour text, or do they prefer absorbing information through video or audio? The beauty is we can find this out from tracking user interactions. For example, in our initial email we might present a concise text summary and an accompanying short video. If someone consistently clicks the video, we know their preference leans towards visual learning. If they spend much longer reading the text and ignore the video, we’re on the right track with written content. We can even use polls or simple surveys embedded in emails to directly ask their preferences. Tool like Google analytics can track these interactions and provide meaningful feedback on user behaviour.

Adapting Content: Tailoring the Experience

Once you’ve gathered enough data, the fun begins! Let’s say your data reveals a significant portion of your audience prefers video. Instead of lengthy text-based explanations, incorporate short, engaging video lessons. These don’t need to be Hollywood productions. A simple screen recording with a voice-over, or even a talking-head video explaining a concept, can be incredibly effective. Tools like Loom or even pre-recorded Zoom meetings can create effective and engaging videos. The goal is to make the content easily digestible and match their preferred learning style.

For audio learners, think about incorporating podcast-style summaries of the lessons, or even short audio explanations alongside the text. Platforms like Anchor.fm are great for recording and distributing audio content. Make sure to provide transcripts alongside audio, to ensure accessibility for everyone.

Personalised Multimedia: Examples in Action

Now, let’s get practical. Imagine you’re teaching coding. Instead of a generic “Hello, student!”, the email could start with a personalised video. Something like, “Hey [Learner’s Name], welcome back to the Python course! I noticed you struggled a little with loops last week, so this week’s video starts with a quick recap to get you back on track.”

Or, consider a language learning course. Instead of a generic audio clip of a phrase, you could create a personalised audio message saying, “[Learner’s Name], here’s a reminder of the pronunciation we practiced last week. Try saying it out loud!” These small touches make a huge difference.

AI-Powered Image Personalisation: The Next Frontier

This is where things get really exciting. AI can be used to generate personalised images to enhance learning. Imagine a course on marketing where the lesson explains creating promotional materials. The email could contain an AI-generated image of a promotional poster with the learner’s name on it. This requires using AI tools that can generate images based on text prompts, integrating them with your email platform to personalise the generated content. Models like DALL-E 3 or Stable Diffusion, via their APIs, can allow you to integrate image generation directly into your email marketing workflow. The key is to use clear, concise prompts that include personalisation elements. Ensure that the image is relevant to the lesson content. A little goes a long way; the inclusion of a personalised image captures the attention more effectively than a generic stock photo.

Hyper-Personalisation: Tailoring the Entire Course

Beyond individual content pieces, AI can tailor the entire course based on a learner’s progress. If AI detects that a user is struggling with a specific concept, it can automatically trigger supplementary materials, such as additional examples, quizzes, or even one-on-one support sessions. Conversely, if a learner is breezing through the material, the AI can accelerate the pace, introducing more advanced topics or challenging exercises. This level of personalisation requires a sophisticated learning management system (LMS) that integrates with your email platform and utilises AI algorithms to track user performance and adapt the course accordingly. The depth to which the course tailors the content is also an area to consider. We might offer additional resources for those struggling, however, we must be careful not to provide so many resources that the user feels overwhelmed.

It’s been an exhilarating journey exploring these possibilities. By using data to understand user preferences and AI to create personalised multimedia and tailor the course, you are able to produce genuinely engaging educational material. This not only improves learning outcomes but also creates a more rewarding and enjoyable experience for the learner.