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freeman14

Newsletter Audience Intelligence

by Dmitriy · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
40
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Install in OpenClaw
/install newsletter-audience-intelligence
Description
Use when the user asks to understand newsletter audience quality, segment readers, summarize survey/reply/click data, prove sponsor value, create media-kit p...
README (SKILL.md)

Newsletter Audience Intelligence

Turn subscriber, reply, survey, source, and click data into sponsor-ready audience proof and operating decisions.

Core Rule

Use connected analytics, subscriber data, source attribution, survey answers, replies, sponsor history, and issue history when available. Do not invent audience metrics, demographics, reader quotes, locations, job titles, or intent signals.

Inputs

  • Newsletter name, category, audience, geography or market
  • Current subscriber count, opens, clicks, replies, source attribution, and survey data if available
  • Reader segments or tags already used
  • Sponsor, paid conversion, growth, or content-quality goal
  • Known acquisition sources: Meta, Reddit, X, LinkedIn, TikTok, referrals, swaps, events, search, or organic
  • Connected workspace, analytics export, or manual data if available

Workflow

  1. Separate known data from assumptions and missing data.
  2. Identify useful audience segments by source, geography, role, interest, behavior, lifecycle, or purchase intent.
  3. Compare segment quality using engagement, clicks, replies, conversions, and sponsor fit.
  4. Extract sponsor-proof bullets without overclaiming attribution.
  5. Flag weak or missing proof needed before selling sponsors or scaling acquisition.
  6. Recommend 3-7 survey, onboarding, reply, or tagging improvements.
  7. Save or hand off audience insights, segment notes, and next data collection steps for the connected workspace.

Output Format

When a reusable artifact is useful, follow templates/audience-proof.md.

Include:

  • Audience-quality summary
  • Known data vs missing data
  • Segment table
  • Sponsor-proof bullets
  • Weak proof or risk notes
  • Data collection plan
  • Connected-workspace handoff notes

Segment table columns:

Segment Evidence Value to operator Sponsor relevance Confidence Next data to collect

Guardrails

  • Do not infer demographics from stereotypes or category assumptions.
  • Do not treat subscriber count as sponsor proof by itself.
  • Keep exact metrics separate from qualitative signals.
  • If data is thin, output a collection plan instead of pretending there is a strong audience story.
  • Do not export, delete, tag, or modify subscribers without explicit approval and an available workspace/API tool.
Usage Guidance
Before installing, be comfortable with the agent reviewing newsletter audience and engagement data you provide or connect. Review any generated workspace handoff or saved report before sharing it, especially if it includes private subscriber, sponsor, survey, or reply data.
Capability Assessment
Purpose & Capability
The skill's stated purpose is newsletter audience analysis, segmentation, sponsor proof, and data collection planning; its workflow and requested inputs align with that purpose.
Instruction Scope
Instructions focus on separating known data from assumptions, comparing audience segments, and avoiding invented metrics, demographics, quotes, or intent signals.
Install Mechanism
The package contains only a single non-executable SKILL.md file, with no dependencies, scripts, or API key requirement.
Credentials
It may use subscriber, analytics, reply, survey, sponsor, and workspace data when available; that data can be sensitive, but it is proportionate to the stated analytics purpose.
Persistence & Privilege
It mentions saving or handing off insights to a connected workspace, but does not request background execution, elevated privileges, credentials, or automatic changes, and explicitly forbids exporting, deleting, tagging, or modifying subscribers without approval and an available tool.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install newsletter-audience-intelligence
  3. After installation, invoke the skill by name or use /newsletter-audience-intelligence
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of newsletter-audience-intelligence skill. - Transforms subscriber, survey, reply, click, and source data into actionable audience insights for newsletters. - Compares audience segments on engagement, sponsor fit, and quality using only available, explicit data. - Provides sponsor-ready proof points, risk flags, and clear separation of known vs. missing data. - Offers a structured workflow and output format for consistent reporting. - Includes recommendations for improved data collection and integration with connected workspaces. - Strong guardrails to avoid overstating metrics or inferring unsupported demographic details.
Metadata
Slug newsletter-audience-intelligence
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Newsletter Audience Intelligence?

Use when the user asks to understand newsletter audience quality, segment readers, summarize survey/reply/click data, prove sponsor value, create media-kit p... It is an AI Agent Skill for Claude Code / OpenClaw, with 40 downloads so far.

How do I install Newsletter Audience Intelligence?

Run "/install newsletter-audience-intelligence" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Newsletter Audience Intelligence free?

Yes, Newsletter Audience Intelligence is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Newsletter Audience Intelligence support?

Newsletter Audience Intelligence is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Newsletter Audience Intelligence?

It is built and maintained by Dmitriy (@freeman14); the current version is v1.0.0.

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