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39-content-audit

Classifies monthly content into winner and loser tiers and identifies performance patterns across pillars, formats, and hooks.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Marketing teams often publish content without knowing which posts actually work and why. This Skill turns raw post-level performance data into a structured monthly audit that separates winners from losers, explains the patterns behind them, and produces concrete keep/stop/scale recommendations.

Core Features & Use Cases

  • Percentile-Based Classification: Ranks posts by goal-appropriate metrics (reach for TOFU, engagement for MOFU, clicks/leads for BOFU) and splits them into top 20% winners, bottom 20% losers, and the average middle.
  • Five-Axis Pattern Analysis: Examines winners and losers across pillar, format, hook type, posting time, and length to find repeatable success patterns.
  • Actionable Recommendations: Outputs a Markdown report with immediate actions, content to stop, hypotheses to test, and KPI comparison against prior period and Vietnam market benchmarks.
  • Use Case: At month end, paste your Facebook and TikTok post-level metrics and receive a content audit report identifying which hooks and formats to replicate next month.

Quick Start

Ask the AI to audit last month's content performance using your exported post-level metrics from Facebook, TikTok, or email.

Frequently Asked Questions about 39-content-audit

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

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

Export post-level metrics from Meta Insights, TikTok Analytics, and your email platform, then rank posts by the metric matching each post's funnel goal. Classify the top 20% as winners and bottom 20% as losers, then analyze patterns across pillar, format, hook, timing, and length.

What metrics should I use to evaluate content performance?▼

Match the metric to the post's funnel stage: reach or views for top-of-funnel awareness content, engagement rate or saves for mid-funnel, and clicks or leads for bottom-of-funnel conversion content. Avoid judging all posts by a single metric.

Can I run a content audit without post-level data?▼

No. The audit requires per-post metrics such as reach, engagement, and leads, plus classification fields like pillar, format, and hook type. Aggregate channel totals are insufficient; export post-level data from each platform first.

What is a good engagement rate benchmark for Facebook in Vietnam?▼

A Facebook engagement rate above 3% is considered good for the Vietnam market. Other reference benchmarks include 25-35% email open rates and 60-80% Zalo OA read rates, used for period-over-period KPI comparison.

When should I use a content audit versus a marketing report?▼

Use a content audit when you need to identify which posts work and why, producing keep/stop/scale decisions. Use a marketing report when presenting results to management; the audit output serves as input for that report.

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