Open rates tell you what people read. Purchase data tells you what worked. This prompt connects the two and shows you which specific emails and sequences are directly linked to revenue in your Kit account.
Most email marketing metrics tell you about attention. Open rates measure whether someone saw your subject line. Click rates measure whether someone engaged with your content. Neither one tells you whether the email actually led to a sale.
Attribution bridges that gap. When you know which emails are directly connected to purchase events, you can write more of what converts and less of what just gets opened. You can identify your most valuable sequences and protect them. You can make smarter decisions about every campaign.
This prompt uses Claude to analyze the connection between your Kit email activity and purchase data, so you can finally see which emails are earning their place in your marketing stack.
Email attribution only works if your purchases are connected to Kit subscriber records. If you use Kit Commerce, this is automatic. If you use a third-party platform, check whether your integration is passing purchase events back to Kit and tagging buyers correctly. If not, set that up before running this analysis.
Paste the prompt below into Claude with your Kit connector active.
Look at my Kit subscriber records over the last 60 days. For subscribers who made a purchase, trace back the last three emails they opened or clicked before their purchase date. Which broadcasts and sequences appear most frequently in the pre-purchase path? Which specific emails or subject lines appear right before a purchase happens most often? Give me an attribution summary that shows which emails are most directly connected to revenue.
Claude will return a pattern analysis showing which types of emails, and in some cases which specific subject lines and formats, appear most often before a purchase. These are your revenue drivers. Protect them in your content calendar and study what they have in common.
If a specific automated sequence, like your welcome series or a product-specific follow-up, consistently appears in the pre-purchase path, it is doing more revenue work than you probably realized. Consider extending it, improving it, or driving more subscribers into it.
Use this attribution data to decide where to invest your email writing time. The content types that appear most in the pre-purchase path deserve more attention. The content that drives opens but not purchases is still valuable for relationship building but should not dominate your broadcast calendar.
Attribution data is what separates an email marketing strategy from an email marketing intuition. Once you know which emails actually drive revenue, every writing decision you make becomes more intentional and more likely to convert.
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