Email outreach unlocked: mastering A/B testing with ChatGPT

Email marketing’s efficacy is universally acknowledged.

Yet, we’re all too aware of the complexities that arise when we attempt to create multiple versions.

This challenge persists even with a medium as malleable as email.

That’s the impetus for our solution.

In this guide, we’ll unveil the process of conducting an A/B test on an email via ChatGPT to craft an array of distinct email elements.


  • The Significance of A/B Testing
  •  Email A/B Test Practices
  • Step-by-Step: Crafting an Email A/B Test with ChatGPT
  • The Results
  • Key Learnings from the Approach


The role of A/B testing in marketing triumphs cannot be overstated.

The reasoning?

A first attempt seldom hits the mark of perfection.

Through A/B testing, one can make choices grounded in data, conserving considerable resources on high-ticket items like advertising or intricately personalized content such as email sequences. A/B testing replaces guesswork with hard facts, thus boosting efficacy.

Moreover, it pivots your strategy to focus on the potential customer, enhancing their interaction with your content. This promotes your CRO (Conversion Rate Optimization) initiatives and fine-tunes the conversion funnels in use.

Finally, A/B testing can carve a competitive edge within the industry. Given that many competitors already utilize A/B testing, mastering it allows you to remain at the forefront, swiftly adapting to customer needs.


A/B testing your emails serves several purposes.

Primarily, it boosts open rates, drawing more attention to your email’s content, which ideally drives conversions.

This is particularly relevant for awareness campaigns.

However, the benefits extend further.

This technique also elevates click-through rates, gauging the audience’s engagement with your content and brand.

Key elements to consider in email A/B testing include:

  • Subject Lines
  • Preheader Texts
  • Call-to-Action (CTA) Buttons
  • Email Timing
  • Design and Structure
  • Personalization Techniques
  • Audience Segmentation

Our guide’s prompt offers you a method to extract variations for each email component from your initial draft.

Time to dive in.


This step involves a detailed prompt.

I’m *your name, your profession, with an audience – your audience description. I frequently dispatch emails to them for  * the purpose of the emails* .
Here’s an email draft I’m working with, aimed at your email’s goal.

For A/B testing, I require assorted variants.

Please supply me with:

  • 5 Unique subject lines
  • 5 Diverse preheader texts
  • 5 Various sender names
  • 5 Different CTAs (with suggested placement)
  • 5 Layout designs
  • 5 Personalization options

We begin with substantial context to establish a unified theme, which is crucial for coherent output.

We then explore the array of variables within your email for A/B testing, presented in an organized list for efficient experimentation.

This process aids in sparking your creativity, especially if there’s a potential gap in your initial approach.

Still, the prompt is not complete.

We need variations for the email body, so after generating your variables, just enter:

I also require three distinct versions of the email body.

Why the separation?

Because we’ve discovered that trying to get everything from ChatGPT all at once can be overwhelming due to the email length, we decided to break it down.

(A tip of the hat to ChatGPT, our go-to AI pal.)

The Results:

We implemented the details from our comprehensive prompt and used ChatGPT to craft a template email. Here’s the essence of what was produced:


The insights gained from this methodology are manifold:

  1. Tailored Content: As we modify the email’s components, the content becomes more personalized and honed towards the intended audience.
  2. Optimal Interactions: Varied subject lines and CTAs can significantly affect the user’s engagement, highlighting the importance of tone and clarity.
  3. Strategic Timing: The timing of your email sends can be as crucial as the content, impacting open rates due to differing audience schedules.
  4. Design Importance: Email layout and design directly correlate to user experience, and different designs can alter the way information is consumed.
  5. Personal Touch: Incorporating personalization tokens not only caters to the recipient’s preferences but also elevates the relevance of the email content.

By applying ChatGPT’s varied outputs, we’re armed with an arsenal of email components to test, ensuring that each iteration brings us closer to our marketing and CRO goals.

Further experimentation and testing may lead to discovering the perfect cocktail of email elements that resonate with your audience, commanding their attention and inciting action.

As we adapt materials and their delivery, our connection with the audience evolves into a more meaningful exchange.

Having learned and implemented these strategies, we’re better equipped to measure, analyze, and refine our email marketing campaigns for maximum impact.

This concludes the advanced guide on utilizing ChatGPT for A/B testing emails. By following these steps, not only will you see improved metrics, but you’ll also gain a deeper understanding of your audience’s preferences. Through this iterative process, every email becomes a powerful tool in achieving your marketing objectives.

Remember to keep testing, learning, and optimizing to maintain the edge in a digital landscape where every interaction counts.