# Plan Newsletter Revenue

Newsletter operators need a clear way to compare subscriptions, sponsorships, and growth investments. This skill creates labeled revenue models, rate cards, and disclosure checks from the data you provide.

## Install

```bash
npx skillstore add aaron-he-zhu/newsletter-monetization-planner
```

## Metadata

- Status: approved
- Slug: aaron-he-zhu-newsletter-monetization-planner
- Version: 19.0.0
- Author version: 19.0.0
- Skillstore revision: r2
- Version status: valid
- Tree hash: 51db5ed42927ed7dbcc1d63ddd1c84d98d903df511f6053c2a51d94bfd8291f6
- Author: aaron-he-zhu
- GitHub username: aaron-he-zhu
- License: Apache-2.0
- Repository: https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/main/email/nurture/newsletter-monetization-planner
- Ref: 0715a6e09ea875c8e28cb705ce87cc83045e69c1
- Supported tools: Claude, Codex, Claude Code
- Audit status: complete
- Agent install advisory: allowed
- Manual install advisory: allowed
- Artifact signature: available
- Audit attestation: unavailable
- Human verification: not\_verified
- Risk factors: external\_commands, network, filesystem
- Quality score: 81
- Quality tier: silver
- Public page: https://skillstore.pages.dev/skills/aaron-he-zhu-newsletter-monetization-planner
- Manifest: https://skillstore.pages.dev/api/skills/aaron-he-zhu-newsletter-monetization-planner/manifest

## Capabilities

- Creates paid-tier revenue models using stated conversion and price assumptions.
- Builds CPM, click-priced, or flat-fee sponsorship rate cards.
- Projects revenue at list-growth milestones using explicit growth-loop inputs.
- Labels model inputs and outputs as Measured, User-provided, or Estimated.
- Flags missing sponsorship disclosures and unsupported offer claims.
- Produces a handoff summary for ROI or email-quality review.

## Use Cases

- Price a paid newsletter: Model tiers, conversion assumptions, and recurring revenue before launching a paid offer.
- Create a sponsor rate card: Set sellable inventory, rate basis, fill assumptions, and floor prices for sponsorships.
- Compare growth paths: Compare subscription-only and hybrid revenue plans at specific audience-growth milestones.

## Prompt Templates

### Start a basic model

```
Model paid subscriptions for my newsletter. I have 5,000 active subscribers, a 40% open rate, and a $10 monthly tier.
```

### Build a sponsor rate card

```
Create a sponsorship rate card for my 20,000-subscriber newsletter. It has a 45% open rate, weekly sends, and two sponsor slots.
```

### Compare revenue mixes

```
Compare paid-subscription-only and hybrid subscription plus sponsorship plans for a 45,000-subscriber list. Use my 42% open rate, 3.1% click rate, and stated prices.
```

### Plan growth and compliance

```
Project newsletter revenue at current size, 25% growth, and 50% growth. Include referral assumptions, sponsorship disclosures, and claims that need review.
```

## Limitations

- Does not calculate final ROI, payback, or list value.
- Does not access email platforms, analytics tools, or ad networks directly.
- Does not supply benchmark conversion rates, CPMs, or subscriber counts.
- Does not determine legal compliance or approve marketing claims.

## Best Practices

- Provide active-subscriber counts, engagement metrics, cadence, and current prices.
- State every conversion, fill-rate, CPM, and growth assumption explicitly.
- Label sponsorships and route unsupported claims for review before publishing.

## Anti Patterns

- Do not present estimated revenue as measured performance.
- Do not use subscriber lists without confirming commercial-mail consent.
- Do not invent benchmarks when data is missing; mark the value as needing a source.

## Security Audit

- Audited at: 2026-07-27T11:30:06.38\+00:00
- Summary: All 50 static alerts are false positives caused by Markdown formatting, documentation links, and ordinary newsletter-planning text. The skill contains no executable shell commands, network operations, path construction, system reconnaissance, or prompt-injection language. It requests user-provided business metrics and explicitly treats pasted data as untrusted.

## Stats

- Views: 1
- Downloads: 7
- Favorites: 0
- Popularity score: 0