Launch announcement sequence
Use when a product or feature ships and you need a run of posts rather than one shout on launch day.
Fill in before running
Replace each placeholder with your own detail. The more specific you are, the less the model invents.
- {{WHAT_IS_LAUNCHING}}
- {{AUDIENCE}}
- {{PROBLEM}}
- {{LAUNCH_DATE}}
- {{PLATFORM}}
- {{WORD_COUNT}}
Getting a better result
- The limitation post consistently outperforms the launch post; do not delete it to keep things upbeat.
- Write the problem line yourself in the words a customer used, not the words your team uses.
- If the model asks for a figure, get the real one rather than dropping the claim - vague launches convert badly.
Questions about this prompt
When is a sequence better than one launch post?
When something ships and the plan is a single shout on the day. One announcement reaches whoever happens to be online that morning. This spreads seven posts across two weeks and spends most of them on the problem rather than the product, which is what reaches people who had not framed it as a problem yet.
What do I need in front of me?
What is launching, the audience, the date, the platform, and the problem written in the words a customer used rather than your team's. You also need one real limitation, because the sequence includes a post about what it does not do and will otherwise hand you back [NEEDS INPUT] in that row.
What comes back, and which post matters most?
A table of seven posts with timing, purpose, hook line, body outline and CTA, then the launch-day post written in full. Protect the limitation post. The tips say it consistently outperforms the launch post, and it is also the one most likely to be cut in review for being off-message.
What is the mistake?
Filling a [NEEDS FIGURE] with a rounded guess about speed or savings. The prompt refuses to invent those for good reason, and an unsupported launch claim is the line people quote back at you. Get the real number from whoever measured it rather than dropping the claim, since vague launches convert badly.