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Social media campaign analysis and performance tracking. Calculates engagement rates, ROI, and benchmarks across platforms. Use for analyzing social media performance, calculating engagement rate, measuring campaign ROI, comparing platform metrics, or benchmarking against industry standards.
npx skill4agent add borghei/claude-skills social-media-analyzer| Field | Required | Description |
|---|---|---|
| platform | Yes | instagram, facebook, twitter, linkedin, tiktok |
| posts[] | Yes | Array of post data |
| posts[].likes | Yes | Like/reaction count |
| posts[].comments | Yes | Comment count |
| posts[].reach | Yes | Unique users reached |
| posts[].impressions | No | Total views |
| posts[].shares | No | Share/retweet count |
| posts[].saves | No | Save/bookmark count |
| posts[].clicks | No | Link clicks |
| total_spend | No | Ad spend (for ROI) |
Engagement Rate = (Likes + Comments + Shares + Saves) / Reach × 100| Metric | Formula | Interpretation |
|---|---|---|
| Engagement Rate | Engagements / Reach × 100 | Audience interaction level |
| CTR | Clicks / Impressions × 100 | Content click appeal |
| Reach Rate | Reach / Followers × 100 | Content distribution |
| Virality Rate | Shares / Impressions × 100 | Share-worthiness |
| Save Rate | Saves / Reach × 100 | Content value |
| Rating | Engagement Rate | Action |
|---|---|---|
| Excellent | > 6% | Scale and replicate |
| Good | 3-6% | Optimize and expand |
| Average | 1-3% | Test improvements |
| Poor | < 1% | Analyze and pivot |
| Metric | Formula |
|---|---|
| Cost Per Engagement (CPE) | Total Spend / Total Engagements |
| Cost Per Click (CPC) | Total Spend / Total Clicks |
| Cost Per Thousand (CPM) | (Spend / Impressions) × 1000 |
| Return on Ad Spend (ROAS) | Revenue / Ad Spend |
| Action | Value | Rationale |
|---|---|---|
| Like | $0.50 | Brand awareness |
| Comment | $2.00 | Active engagement |
| Share | $5.00 | Amplification |
| Save | $3.00 | Intent signal |
| Click | $1.50 | Traffic value |
| ROI % | Rating | Recommendation |
|---|---|---|
| > 500% | Excellent | Scale budget significantly |
| 200-500% | Good | Increase budget moderately |
| 100-200% | Acceptable | Optimize before scaling |
| 0-100% | Break-even | Review targeting and creative |
| < 0% | Negative | Pause and restructure |
| Platform | Average | Good | Excellent |
|---|---|---|---|
| 1.22% | 3-6% | >6% | |
| 0.07% | 0.5-1% | >1% | |
| Twitter/X | 0.05% | 0.1-0.5% | >0.5% |
| 2.0% | 3-5% | >5% | |
| TikTok | 5.96% | 8-15% | >15% |
| Platform | Average | Good | Excellent |
|---|---|---|---|
| 0.22% | 0.5-1% | >1% | |
| 0.90% | 1.5-2.5% | >2.5% | |
| 0.44% | 1-2% | >2% | |
| TikTok | 0.30% | 0.5-1% | >1% |
| Platform | Average | Good |
|---|---|---|
| $0.97 | <$0.50 | |
| $1.20 | <$0.70 | |
| $5.26 | <$3.00 | |
| TikTok | $1.00 | <$0.50 |
references/platform-benchmarks.mdpython scripts/calculate_metrics.py assets/sample_input.jsonpython scripts/analyze_performance.py assets/sample_input.jsonassets/sample_input.json{
"platform": "instagram",
"total_spend": 500,
"posts": [
{
"post_id": "post_001",
"content_type": "image",
"likes": 342,
"comments": 28,
"shares": 15,
"saves": 45,
"reach": 5200,
"impressions": 8500,
"clicks": 120
}
]
}assets/expected_output.json{
"campaign_metrics": {
"total_engagements": 1521,
"avg_engagement_rate": 8.36,
"ctr": 1.55
},
"roi_metrics": {
"total_spend": 500.0,
"cost_per_engagement": 0.33,
"roi_percentage": 660.5
},
"insights": {
"overall_health": "excellent",
"benchmark_comparison": {
"engagement_status": "excellent",
"engagement_benchmark": "1.22%",
"engagement_actual": "8.36%"
}
}
}references/platform-benchmarks.md