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39-content-audit-global

Audits published content performance by classifying posts into winners and losers using percentile ranking.

569|224|Updated Apr 15, 2026
Search Tags:#performance analysis#content audit#engagement metrics#percentile ranking#Content Marketing#Social Media#kpi benchmark
One-click install
npx skills add https://github.com/minhnv0807/ai-business-skills --skill 39-content-audit-global
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: 39-content-audit-global
Source: https://github.com/minhnv0807/ai-business-skills/tree/main/skills/en/39-content-audit-global
Command: npx skills add https://github.com/minhnv0807/ai-business-skills --skill 39-content-audit-global

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Marketing teams publish content across many channels but rarely know which posts actually work and why. This Skill turns raw post-level data into an evidence-based audit that identifies winning patterns to replicate and losing formats to retire.

Core Features & Use Cases

  • Percentile Classification: Ranks posts within each channel and objective group, labeling the top 20% as winners, bottom 20% as losers, and the middle 60% as average.
  • Pattern Analysis Across 5 Axes: Examines pillar, format, hook type, publish time, and length to explain why winners work, validated against customer insight.
  • Actionable Recommendations: Produces keep/kill/scale decisions split into do-now, stop, and test-next actions, plus KPI comparison against prior period and benchmarks.
  • Use Case: At month end, export post-level data from Instagram, TikTok, and LinkedIn, then run the audit to discover that videos with numeric hooks outperform carousels, and feed the findings into next month's content plan.

Quick Start

Audit our content performance for last month using the exported post data from Instagram, TikTok, and LinkedIn and tell me what to keep, kill, and scale.

Frequently Asked Questions about 39-content-audit-global

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I audit content performance across social media channels?▼

Export post-level metrics from each channel's native analytics, rank posts within each channel and objective group by the primary metric, and classify the top 20% as winners and bottom 20% as losers. Then analyze patterns across pillar, format, hook, time, and length.

What metrics should I use for a content performance review?▼

Match the metric to the post's objective: reach or views for top-of-funnel, engagement rate or saves for mid-funnel, and clicks or leads for bottom-of-funnel. Using one metric for everything produces misleading conclusions.

Can I compare organic and paid content in the same audit?▼

No. Organic and boosted posts must be ranked separately because paid distribution inflates reach and engagement. Compare like with like, channel against itself, and never pool cross-channel rankings.

What benchmarks exist for email and social media engagement rates?▼

Email medians are 22-27% open rate, 2.5-3.5% CTR, and under 0.5% unsubscribe. For organic social reach and engagement, no reliable cross-industry median exists, so use your own trailing 3-month median as the baseline.

What data is required before running a content audit?▼

You need post-level data with publish date, channel, format, pillar, funnel stage, hook type, and primary and secondary metrics. Without post-level exports there is no audit; aggregate period totals are insufficient.

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