How to use AI to learn from your Squarespace email campaigns.
And write better emails next month. Start with data and move into curiosity.
We all have times were we look at the data, scan it and move on quickly. Yet, we don’t really use the data to adjust. This prompt changes that. Copy it, paste it into Claude, and upload your Squarespace email campaign screenshots from last month. Claude will tell you what’s working, what isn’t, and give you a concrete plan for next month.
The prompt:
I’m going to share data from my Squarespace email campaigns. I want you to help me understand what the numbers are telling me and use those learnings to plan better emails next month.
Here is what I need from you:
1. Read my data
Look at the open rates, click rates (% and numbers), and any other metrics I share. Tell me in plain language what is performing well, what isn’t, and where the biggest gaps are. Don’t use marketing jargon. Talk to me like a smart friend who knows this stuff.
2. Find the patterns
Compare the emails to each other. What do the higher-performing emails have in common. For example, the subject line style, topic, tone, send time, length? What do the lower-performing ones share? I want to understand the pattern, not just the individual numbers.
3. Tell me what to stop, start, and keep
Based on the patterns you find, give me three clear recommendations:
— What I should stop doing in my emails
— What I should start doing or test next month
— What’s working that I should keep and do more of
4. Help me plan next month
Using everything you’ve learned from my data, help me draft:
— Three subject line options for my next email (written in the style that’s been performing best)
— One suggested topic or angle that fits what my audience is responding to
— One thing I should test in May that I haven’t tried yet
A few things to keep in mind as you work through this:
— I am not a marketer. Skip the technical language and explain things simply.
— Focus on what is actionable. I don’t need a full audit, I need to know what to do differently next month.
— If the data is too limited to draw strong conclusions, tell me that honestly rather than guessing.
Here is my data: [paste your stats or upload your screenshots here]
Why this works: Most AI prompts for email data ask for a summary. This one asks for a decision. By structuring it around stop / start / keep and forcing three specific outputs, such as subject lines, a topic, a test, you walk away with a plan, not just an analysis.
To get the most out of it: Share as many campaigns as you can, not just one. The more data Claude has to compare, the clearer the patterns. Screenshots from your Squarespace dashboard work perfectly.