Social Media Analyzer
It's designed for social media managers and marketers who need to understand campaign effectiveness and optimize their strategies based on data-driven insights.
Install
npx promptshop add social-media-analyzerDetails
What This Skill Does
This skill analyzes social media campaign performance by calculating engagement metrics, ROI, and comparing results against platform benchmarks. It's designed for social media managers and marketers who need to understand campaign effectiveness and optimize their strategies based on data-driven insights.
When to Use
- Analyze engagement rate of social media posts.
- Calculate ROI of social media campaigns.
- Compare campaign performance across platforms.
- Identify top and bottom performing content.
- Validate social media data completeness.
- Generate recommendations for campaign improvement.
Key Features
Calculates engagement rate using likes, comments, shares, and reach. Computes ROI based on ad spend and campaign results. Validates input data for completeness and accuracy. Compares performance against platform benchmarks. Identifies top and bottom performing posts. Provides a structured analysis workflow.
Manual Installation
Manual installation## Table of Contents
Analysis Workflow
Engagement Metrics ROI Calculation Platform Benchmarks Tools Examples
Analysis Workflow
Analyze social media campaign performance:
Validate input data completeness (reach > 0, dates valid) Calculate engagement metrics per post Aggregate campaign-level metrics Calculate ROI if ad spend provided Compare against platform benchmarks Identify top and bottom performers Generate recommendations Validation: Engagement rate < 100%, ROI matches spend data
Input Requirements
| 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) |
Data Validation Checks
Before analysis, verify:
[ ] Reach > 0 for all posts (avoid division by zero) [ ] Engagement counts are non-negative [ ] Date range is valid (start < end) [ ] Platform is recognized [ ] Spend > 0 if ROI requested
Engagement Metrics
Engagement Rate Calculation
Engagement Rate = (Likes + Comments + Shares + Saves) / Reach × 100
Metric Definitions
| 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 |
Performance Categories
| 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 |
ROI Calculation
Calculate return on ad spend:
Sum total engagements across posts Calculate cost per engagement (CPE) Calculate cost per click (CPC) if clicks available Estimate engagement value using benchmark rates Calculate ROI percentage Validation: ROI = (Value - Spend) / Spend × 100
ROI Formulas
| 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 |
Engagement Value Estimates
| 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 Interpretation
| 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 Benchmarks
Engagement Rate by Platform
| 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% |
| Linked In | 2.0% | 3-5% | >5% |
| Tik Tok | 5.96% | 8-15% | >15% |
CTR by Platform
| Platform | Average | Good | Excellent |
|---|---|---|---|
| 0.22% | 0.5-1% | >1% | |
| 0.90% | 1.5-2.5% | >2.5% | |
| Linked In | 0.44% | 1-2% | >2% |
| Tik Tok | 0.30% | 0.5-1% | >1% |
CPC by Platform
| Platform | Average | Good |
|---|---|---|
| $0.97 | <$0.50 | |
| $1.20 | <$0.70 | |
| Linked In | $5.26 | <$3.00 |
| Tik Tok | $1.00 | <$0.50 |
See references/platform-benchmarks.md for complete benchmark data.
Tools
Calculate Metrics
python scripts/calculate_metrics.py assets/sample_input.json
Calculates engagement rate, CTR, reach rate for each post and campaign totals.
Analyze Performance
python scripts/analyze_performance.py assets/sample_input.json
Generates full performance analysis with ROI, benchmarks, and recommendations.
Output includes: Campaign-level metrics Post-by-post breakdown Benchmark comparisons Top performers ranked Actionable recommendations
Examples
Sample Input
See assets/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 } ] }
Sample Output
See 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%" } } }
Interpretation
The sample campaign shows: Engagement rate 8.36% vs 1.22% benchmark = Excellent (6.8x above average) CTR 1.55% vs 0.22% benchmark = Excellent (7x above average) ROI 660% = Outstanding return on $500 spend Recommendation: Scale budget, replicate successful elements
Reference Documentation
references/platform-benchmarks.md contains:
Engagement rate benchmarks by platform and industry CTR benchmarks for organic and paid content Cost benchmarks (CPC, CPM, CPE) Content type performance by platform Optimal posting times and frequency ROI calculation formulas
Proactive Triggers
- Engagement rate below platform average → Content isn't resonating.
- Analyze top performers for patterns.
- Follower growth stalled → Content distribution or frequency issue.
- Audit posting patterns. High impressions, low engagement → Reach without resonance. Content quality issue.
- Competitor outperforming significantly → Content gap.
- Analyze their successful posts.
Output Artifacts
| When you ask for... | You get... |
|---|---|
| "Social media audit" | Performance analysis across platforms with benchmarks |
| "What's performing?" | Top content analysis with patterns and recommendations |
| "Competitor social analysis" | Competitive social media comparison with gaps |
Communication
All output passes quality