Build a sponsorship package for my publication, newsletter, or podcast
A sponsor-ready package with audience proof, tiered inventory, pricing logic, and the terms that protect editorial independence.
The prompt
Help me build a sponsorship package to sell to advertisers.
My media property: [publication, newsletter, podcast, YouTube channel, event - what it covers]
Audience data: [subscribers, open rate, downloads per episode in the first 30 days, unique visitors, demographics, job titles - with sources]
Inventory available: [e.g. newsletter top slot, classified ads, host-read podcast spots (pre-roll, mid-roll), sponsored articles, event branding]
Current or past rates: [WHAT I HAVE CHARGED, or "none yet"]
Target sponsors: [CATEGORIES or brands that fit the audience]
Editorial rules: [what sponsors can't influence, categories we won't accept]
Build:
1. A one-paragraph audience story: who they are and why they are worth reaching.
2. Inventory menu: each placement with format, specs, frequency, and what the sponsor gets.
3. Pricing: CPM-based and flat-rate options, showing the math (e.g. downloads x CPM / 1,000), plus three tiered packages and a launch or multi-issue discount.
4. Proof and reporting: what metrics the sponsor receives after the run and when.
5. Terms: payment, cancellation, makegoods if delivery falls short, approval rights, and clear labeling of sponsored content as advertising.
6. A short outreach email to a target sponsor.
State that editorial content stays independent and sponsored content is labeled as such, in line with advertising disclosure rules where I publish. Use only my audience numbers; mark missing ones [ADD DATA] rather than estimating.
Highlighted [brackets] are blanks to replace with your own details.
Fill in the blanks and use this promptMore Sales prompts
What to fill in
- WHAT I HAVE CHARGED, or "none yet"
- CATEGORIES or brands that fit the audience
- what sponsors can't influence, categories we won't accept
- ADD DATA
How this prompt is built
This prompt follows the Few-Shot structure (Few-shot prompting). A few-shot prompt includes one or more worked examples of the input and the output you want, so the model can copy the pattern instead of guessing it.
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