Audit intermediate Works with: Any AI

Newsletter Archive Audit: Which Issues Worked and Why

Table output

Review past issues and find patterns in engagement.

The Open buttons send the prompt text as currently shown below to that site only when you click. Fill in the placeholders first.

[VERIFY] is an editorial flag, not a blank to fill. Wherever the prompt shows [VERIFY], check that item against a reliable source before you use it.

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Audit my newsletter archive. A list of past issues with date, subject line, topic, length, sends, opens, clicks, and unsubscribes: [ISSUE_DATA]. My goals for the newsletter: [GOALS].

Calculate open rate, click rate, and unsubscribe rate for each issue, and the averages, with the arithmetic. Identify the three best and three worst by clicks, patterns in subject lines (length, question, number), topics, and send times, while noting that open rates are unreliable for some mail clients [VERIFY]. Make a table with Issue, Rates, Notes, and Hypothesis. Suggest three experiments and what to keep, cut, or change in format.

Use my data only, and treat conclusions from small samples as tentative.

Add a worked table of three invented issues: A, subject 'Five ways to save time' with open rate 42 percent and click rate 5.1; B, 'News' with 31 and 1.8; C, 'Your free template inside' with 47 and 7.4. Explain how specific subject lines and a clear offer may relate to the difference while warning that the open rate is unreliable [VERIFY] and the sample is small.

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