nhouseholder/content-performance-audit

Monthly Performance Audit

Stop guessing. Start making decisions from data. This skill produces a monthly review that identifies what's actually driving growth and sales — not likes and impressions.

When This Fires

• "Monthly content audit"
• "Review my content performance"
• "What's working on my social media?"
• "Monthly performance review"
• End of every month (schedule with /schedule for recurring use)

Prerequisites

1. Read brand-context.md — Required for platform and niche context.
2. Read content-pillars.md if exists — to evaluate pillar performance.
3. Read content-calendar-*.md if exists — to compare plan vs. actual.
4. User must provide (or gather from analytics):
   • Platform(s) being reviewed
   • Current follower count
   • Average likes per post
   • Average comments per post
   • Leads generated from content (if tracked)
   • Revenue from content (if known, or "unknown")

Workflow

Phase 1: Revenue-Predictive Metrics

Identify the 5 metrics that actually predict growth and sales for THIS platform and audience size:

| Metric | What It Measures | Why It Matters More Than Vanity | How to Track | |--------|-----------------|-------------------------------|-------------| | Saves/Bookmarks | Content worth revisiting | Signals algorithm boost + genuine value | [Platform-specific tracking] | | DM volume | Purchase intent | People who DM are 10x more likely to buy | Count weekly | | Profile visits from content | Curiosity converted | Bridge between content and bio/offer | Platform analytics | | Email/list signups from social | Owned audience growth | Followers you actually own | UTM links + landing page | | Reply rate (comments that are conversations) | Depth of engagement | Comments > likes for trust-building | Manual review |

Customize these 5 to the specific platform. Instagram saves matter differently than Twitter bookmarks. LinkedIn engagement rate baselines differ from TikTok.

Phase 2: Engagement Rate Benchmarks

Provide healthy benchmarks calibrated to platform AND audience size:

| Platform | Follower Range | Healthy Engagement Rate | You're Underperforming If | |----------|---------------|------------------------|--------------------------| | Instagram | <1K | [%] | [%] | | Instagram | 1K-10K | [%] | [%] | | Instagram | 10K-100K | [%] | [%] | | Twitter/X | <1K | [%] | [%] | | Twitter/X | 1K-10K | [%] | [%] | | LinkedIn | <5K | [%] | [%] | | LinkedIn | 5K-50K | [%] | [%] | | TikTok | <10K | [%] | [%] | | TikTok | 10K-100K | [%] | [%] |

Note: label benchmarks as industry averages. Actual rates vary by niche.

Phase 3: Post Flop Diagnosis

When a post underperforms, diagnose WHY using this framework:

FLOP DIAGNOSIS TREE:
                     Post underperformed
                            │
              ┌─────────────┼─────────────┐
              │             │             │
         Low reach    Low engagement   Low conversion
              │             │             │
    ┌─────────┤      ┌──────┤      ┌──────┤
    │         │      │      │      │      │
  Hook     Timing  Topic  Format   CTA   Offer
  failed   wrong   miss   wrong   weak  mismatch

For each diagnosis point:

| Problem | Signal | Fix | |---------|--------|-----| | Hook failed | Low impressions relative to followers | Test different hook formula from library | | Timing wrong | Good hook but low reach | Move to optimal posting time | | Topic miss | Reach OK but low saves/comments | Topic doesn't resonate — check audience profile | | Format wrong | Topic good but low engagement | Try different format (carousel vs. single, thread vs. tweet) | | CTA weak | Engagement OK but no clicks/DMs | Strengthen or change CTA type | | Offer mismatch | Clicks but no conversion | Content-to-offer bridge is broken |

Phase 4: Top 3 Content Angles

Analyze last month's posts to find the 3 best-performing angles:

ANGLE 1: [Topic/angle]
Evidence: [Which posts, what metrics]
Why it worked: [Audience psychology reason]
Double-down plan: [3 new posts using this angle next month]

ANGLE 2: [same format]
ANGLE 3: [same format]

Method: Sort all posts by the revenue-predictive metrics from Phase 1 (saves, DMs, profile visits) — NOT by likes.

Phase 5: The One Change

Based on the entire audit, identify the single highest-leverage change to make next month:

THE ONE CHANGE: [Specific, actionable change]
WHY THIS ONE: [Data-backed reasoning]
EXPECTED IMPACT: [What metric it should improve]
HOW TO MEASURE: [How you'll know it worked in 30 days]

Output Format — Monthly Review Template

Save to content-review-[YYYY-MM].md:

# Content Performance Review — [Month Year]

## Snapshot
| Metric | This Month | Last Month | Delta |
|--------|-----------|------------|-------|
| Followers | [N] | [N] | [+/-] |
| Avg engagement rate | [%] | [%] | [+/-] |
| Saves/bookmarks | [N] | [N] | [+/-] |
| DMs received | [N] | [N] | [+/-] |
| Leads from content | [N] | [N] | [+/-] |
| Revenue from content | [$] | [$] | [+/-] |

## Top 3 Performing Posts
1. [Post topic] — [key metric]
2. [Post topic] — [key metric]
3. [Post topic] — [key metric]

## Bottom 3 Posts + Diagnosis
1. [Post] — Diagnosis: [hook/timing/topic/format/CTA]
2. [Post] — Diagnosis: [hook/timing/topic/format/CTA]
3. [Post] — Diagnosis: [hook/timing/topic/format/CTA]

## Top 3 Angles to Double Down
1. [Angle] — [3 new post ideas]
2. [Angle] — [3 new post ideas]
3. [Angle] — [3 new post ideas]

## The One Change for Next Month
[Change + reasoning + measurement plan]

Rules

1. Revenue-predictive metrics only — saves, DMs, profile visits, list signups, reply depth. NOT likes, NOT impressions.
2. Data required — if user can't provide numbers, help them set up tracking FIRST before running the audit
3. Diagnosis before prescription — identify WHY something failed before suggesting fixes
4. One change, not ten — the power is in focus. One high-leverage change beats ten scattered tweaks.
5. Anti-slop — no "keep up the great work" filler. Honest assessment, specific actions.
6. Comparative — always show this month vs. last month. Trends matter more than absolutes.
7. Benchmarks are labeled — always note that engagement benchmarks are industry averages, not guarantees