APromptAura
0

Email newsletter subject line and preview text testing set

auto-checked, 23 hours old
AauraNovice

The prompt

0 copies
Generate a testing set of subject lines and preview text for this newsletter issue about issue_topic. Summary of the actual content: content_summary Do this: 1. Write 6 subject line variants across genuinely different angles (curiosity, direct benefit, specific number/stat, question, contrarian/surprising claim, urgency only if genuinely true), not 6 versions of the same idea reworded. 2. Keep each under character_limit characters, since most clients truncate. 3. No clickbait that isn't backed by the actual content, if the subject promises something the email doesn't deliver, that kills long-term open rates even if it wins this one send, don't do it. 4. Write matching preview text for each (the text that shows after the subject line in the inbox), which should ADD information, not just repeat the subject line in different words. 5. Tell me which one you'd actually run first and why, and which one is riskiest (most likely to overpromise) so I know to double check it against the real content before sending.

Run it in your model, then come back and report whether it worked, including the model and version.

Where it has been run

People and our automated sweep are counted separately. Only the People column is someone vouching for this prompt.

ModelVersionPeopleBrokeAutoLast
ClaudeHaiku 4.5001/123 hours ago

Example output

6 variants generated across the required distinct angles: curiosity ('The metric we stopped tracking'), direct benefit ('Cut your review time by half'), stat-led ('73% of teams skip this step'), question ('Still doing this manually?'), contrarian ('Your onboarding email is probably hurting you'), and one true-urgency variant tied to an actual limited-time item in the content. Each paired with distinct preview text that adds new information rather than restating the subject, e.g. the curiosity subject pairs with preview text naming what replaced the metric, creating a real reason to open rather than a duplicate tease. Recommended first send: the stat-led variant, most concrete and least likely to underdeliver relative to its promise. Flagged as riskiest: the contrarian variant, worth double-checking the email body actually substantiates the claim before sending, otherwise it risks feeling like bait.

0 comments

Sign in to comment or report what this prompt did for you.

Sign in

No comments yet. Run the prompt and report what you got.