Individual skill
ads-performance-analytics
How to read paid media dashboards without fooling yourself. Attribution models, platform reporting quirks, multi-platform reconciliation, ROAS vs LTV horizon traps, statistical noise in performance metrics, incrementality testing, and the failure modes that produce expensive lessons. Triggers on read paid media dashboard, attribution analysis, ROAS vs LTV, multi-platform reconciliation, ad incrementality, geo holdout, conversion lift study, ghost bidding, paid media reporting, board-deck paid media metrics, blended CAC, MMM, MTA, last-click attribution. Also triggers when a marketer is about to scale, kill, or rebudget a campaign based on platform metrics, or when reconciling platform reports against warehouse revenue.
dist/codex/.agents/skills/ads-performance-analytics/SKILL.md
Source commit 9b90db257f7395fab76ff9bfcb808456709f6af3
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 4, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 1,038
- Repository last updated
- Oct 27, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- claude Repository topic
- claude-skills Repository topic
- anthropic Repository topic
- mcp Repository topic
- seo Repository topic
- web-development Repository topic
- agent-skills Repository topic
- claude-code Repository topic
- product-management Repository topic
- web-design Repository topic
- marketing Derived category
- data Derived category
- testing Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 24,481 bytesSKILL.mdcore · 24,481 bytesSKILL.mdcore · 24,481 bytesSKILL.mdcore · 24,481 bytesreferences/_claude-frontmatter-extras.yamlasset · 574 bytesreferences/attribution-model-comparison.mddoc · 7,456 bytesreferences/cohort-analysis-templates.mddoc · 6,603 bytesreferences/common-interpretation-failures.mddoc · 9,164 bytesreferences/dashboard-reconciliation-patterns.mddoc · 6,692 bytesreferences/incrementality-testing-playbook.mddoc · 7,127 bytesreferences/metric-definitions-glossary.mddoc · 6,677 bytesreferences/platform-reporting-quirks.mddoc · 8,963 bytes
Read excerpt
# Ads Performance Analytics
A data-team-mentor's playbook for interpreting paid media dashboards without fooling yourself.
The dashboard is the moment of truth for paid media decisions. The numbers on it determine whether you scale, hold, or kill. They also expose every platform's self-attribution bias, every modeled-conversion shortcut, every cross-platform double-count. Most "scale this campaign" decisions trace back to misreading the dashboard.
This skill is the discipline that prevents misreading. It assumes the campaign was strategically sound (see `paid-media-strategy`). It assumes the creative was tested properly (see `ads-creative-development`). The hard part is knowing what each number actually means, what it does not, and how to reconcile platform-reported metrics with the truth in your warehouse.
When to use this skill: any time you are about to scale, kill, or rebudget a campaign based on platform metrics; reconciling platform reports with revenue data; evaluating an agency's reporting; or building a paid media dashboard that will not lie to you.
---
## What this skill is for
