🎙 In this episode, I share how we’ve built a simple AI‑driven feedback loop that quietly improves our email open and click‑through rates every single week. Instead of dumping data into spreadsheets and planning to look at it later, we now use AI to analyse hundreds of emails, spot what actually works for our audience, and then feed those insights straight back into the tools that write our future subject lines.

You’ll hear how we turned my VA’s hard‑won intuition into reusable guidelines, how we wired AI reports directly into our copywriting system, and why I still insist on human review before anything goes out. If you want AI to act more like a smart marketing manager and less like another to‑do list, this is for you.

KEY TAKEAWAYS

💡 Turn Dormant Data into Decisions: Don’t let your open‑rate spreadsheets gather dust; use AI to surface patterns and recommendations you can actually act on to improve how your emails perform.  

💡 Make AI Your Subject Line Coach: Let AI compare hundreds of your own emails to reveal which structures, hooks, and topics your audience really clicks on. Tapping into this information to create better subjects is key for improving opening rates.  

💡 Capture That Tribal Knowledge Using AI and Playbooks: Bottle the intuition of those people who consistently nail subject lines by feeding their know-how into your AI and shared playbooks. When you do, your whole team will easily and reliably produce great results.  

💡 Close the Loop Weekly: Feed each week’s results back into your subject‑line data sheet so every send gets smarter.

BEST MOMENTS

00:25 - 💬 “This is one of those rare occasions where AI actually worked and gave us a result without hours of frustration.” 

04:15 - 💬 “What really matters is not, ‘Are your emails written to a very good standard?’ It’s, ‘Do people actually open the emails that you write?’”  

05:56 - 💬 “The email subject is arguably as important, if not more important, than the body of the email.”  

07:49 - 💬 “Every time we have either good or bad email, that information is passed to this data sheet, which is then using the source to create the new emails.”  

TIMESTAMPED OVERVIEW

00:00 Intro: Using AI for Business Insights 

02:26 Using AI to Analyse Email Performance

07:42 Building a Self-Improving AI Feedback Loop

09:56 Why Humans Still Matter in an AI Workflow

VALUABLE RESOURCES

You can put what you have learned in this episode to work immediately and check out Claude. Download my recommended tools at https://sys.academy/tools⁠ and join our paid community at https://join.sys.academy

LINKS TO CONNECT WITH THE HOST

ABOUT THE HOST

Steve moved to Sweden in 2015 and transformed how he ran his businesses—switching to a fully remote model. A former NHS doctor, with a background in computing and property investing, he now helps overwhelmed business owners systemise and outsource effectively. Through his courses and coaching, Steve teaches how to automate operations and work with affordable virtual assistants, freeing up time and increasing profits. He runs his UK-based businesses remotely with support from a team of UK and Filipino VAs, and is passionate about helping others build scalable, stress-free companies using smart systems and virtual support.

This Podcast has been brought to you by Disruptive Media https://disruptivemedia.co.uk/