Summary  
This chapter covers implementing an A/B testing workflow in code that sends two text variants, collects performance metrics, and leverages AI to analyze results and recommend the statistically superior option.

General domain of usage  
Sales outreach (email marketing)

A/B testing is a powerful method in sales outreach, allowing you to compare two variations of a single element—such as email subject lines—to see which performs better. In sales, your subject line is the first thing a prospect sees, and it can make the difference between your email being opened or ignored. By sending two different subject lines to similar groups of prospects and measuring open rates, you can objectively determine which version is more effective. This approach removes guesswork and helps you refine your outreach for maximum impact.

AI brings a new dimension to A/B testing by not only collecting response data but also analyzing patterns at scale. Once you have sent your A and B versions and gathered open and reply rates, AI can process these results, identify statistically significant differences, and recommend the subject line most likely to succeed with your audience. With AI, you can move beyond surface-level metrics and uncover deeper insights, such as which words or phrases resonate best, enabling you to continually improve your outreach strategy.

## Task
Paste a cold email and test two subject lines against each other.

Send this message to Claude in the lab on the right:

> **Here's my cold email: [paste email]**
>
> **Subject line A: "Quick question about your sales process"**
> **Subject line B: "How [Company] could close 2 more deals this month"**
>
> **Which performs better and why?**

- Review the winner and the two alternatives Claude suggests
- Test one of Claude's suggestions against your original — who wins now?

Done when you have a subject line you'd actually use.
Nothing to submit — just hit **Next chapter**.

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