audience-overlap-analysis SKILL.md skillA

audience-overlap-analysis from irinabuht12-oss/marketing-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add irinabuht12-oss/marketing-skills/audience-overlap-analysis@git:20261027.b3bdcd6

Pins git:20261027.b3bdcd6 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
irinabuht12-oss/marketing-skills
Path
skills/audience-overlap-analysis/SKILL.md
Versions recorded
2
Latest version
git:20261027.b3bdcd6, committed Oct 27, 2026
First version recorded
Sep 8, 2026
Size
2,710 bytes
Repository stars
6,704
License
none declared

Compares your Meta ad sets and identifies where audiences overlap significantly, causing your ads to compete against each other in the same auctions. Tells you exactly which ad sets are cannibalizing each other and how much it's costing you in inflated CPMs. Platform: Meta.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# 8/ Audience Overlap Analysis — Meta

## What it does
Compares your Meta ad sets and identifies where audiences overlap significantly, causing your ads to compete against each other in the same auctions. Tells you exactly which ad sets are cannibalizing each other and how much it's costing you in inflated CPMs.

## How it works
Claude analyzes your ad set targeting parameters — custom audiences, lookalikes, interest stacks, age/gender splits, and geo targeting — and maps the overlap between them. It cross-references this with delivery data to identify where auction overlap is actually driving up costs vs where it's theoretical but not impactful.

## Practical example
You're running 6 prospecting ad sets on Meta, each targeting different interest stacks. Claude identifies that ad sets 2, 4, and 6 have an estimated 60%+ audience overlap because the interest categories share the same underlying user pool. These three ad sets have CPMs 28% higher than the non-overlapping ones. Recommendation: consolidate into one ad set with broader targeting and let Meta's algorithm optimize, or use audience exclusions to create clean segments.

## What you get back
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add irinabuht12-oss/marketing-skills/audience-overlap-analysis@sha256:8979bccf5c038674

The line at the top of this page pins the label git:20261027.b3bdcd6, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_vfshn3fmr45letiz.svg)](https://markdownregistry.com/a/art_vfshn3fmr45letiz)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between Sep 8, 2026 and Oct 27, 2026, about one every 48 days.

versioncommittedcommitsizeaudit
git:20261027.b3bdcd6 latest2026-10-27 b3bdcd6 2,710 BA view · diff
git:20260908.cc021ba2026-09-08 cc021ba 2,663 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (2710 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

irinabuht12-oss/marketing-skills · 6,704 stars · license none declared · pushed 2026-10-27 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_vfshn3fmr45letiz
GET https://markdownregistry.com/api/v1/resolve?ref=irinabuht12-oss/marketing-skills/audience-overlap-analysis
GET https://markdownregistry.com/api/v1/blob/8979bccf5c038674eed0eca3764472ffa82431658e4e1eee98944b4553e626a3

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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