analytics-interpretation
Interpret GA4 and GSC data with benchmarks, status indicators, and actionable insights
Best use case
analytics-interpretation is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Interpret GA4 and GSC data with benchmarks, status indicators, and actionable insights
Teams using analytics-interpretation should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/analytics-interpretation/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How analytics-interpretation Compares
| Feature / Agent | analytics-interpretation | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Interpret GA4 and GSC data with benchmarks, status indicators, and actionable insights
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Analytics Interpretation
## When to Use
- Analyzing content performance reports
- Understanding traffic patterns
- Interpreting search console data
- Making data-driven content decisions
- Explaining metrics to stakeholders
## Metric Benchmarks
### Google Analytics 4 (GA4)
| Metric | Good | Warning | Poor | Action When Poor |
|--------|------|---------|------|------------------|
| Avg Time on Page | >3 min | 1-3 min | <1 min | Improve content depth, add multimedia |
| Bounce Rate | <40% | 40-70% | >70% | Add internal links, improve intro hook |
| Engagement Rate | >60% | 30-60% | <30% | Review content quality, add CTAs |
| Scroll Depth | >75% | 50-75% | <50% | Add visual breaks, improve structure |
| Pages/Session | >2.5 | 1.5-2.5 | <1.5 | Improve internal linking |
### Google Search Console (GSC)
| Metric | Good | Warning | Poor | Action When Poor |
|--------|------|---------|------|------------------|
| CTR | >5% | 2-5% | <2% | Improve title/meta description |
| Avg Position | 1-3 | 4-10 | >10 | Strengthen content, build links |
| Impressions Trend | Growing | Stable | Declining | Refresh content, target new keywords |
| Mobile Usability | PASS | - | FAIL | Fix mobile issues immediately |
| Core Web Vitals | GOOD | NEEDS_IMPROVEMENT | POOR | Optimize performance |
## Interpreting Combined Signals
### Traffic Quality Matrix
```
High Engagement
│
┌──────────────┼──────────────┐
│ HIDDEN GEM │ STAR │
│ Low traffic │ High traffic│
│ High quality│ High quality│
│ → Promote │ → Maintain │
Low ───────┼──────────────┼──────────────┼─── High
Traffic │ │ │ Traffic
│ UNDERPERFORM│ LEAKY │
│ Low traffic │ High traffic│
│ Low quality │ Low quality │
│ → Rework │ → Optimize │
└──────────────┼──────────────┘
│
Low Engagement
```
### Search Intent Alignment
| GSC Signal | GA4 Signal | Interpretation |
|------------|------------|----------------|
| High impressions | Low clicks | Title/meta mismatch with intent |
| High CTR | High bounce | Content doesn't deliver on promise |
| Low CTR | High engagement (when clicked) | Hidden gem, improve snippet |
| Growing impressions | Stable clicks | Ranking improving, CTR opportunity |
## Score Calculation Methodology
### Content Health Score (0-100)
```
health_score = (
engagement_score × 0.30 +
seo_score × 0.30 +
ranking_score × 0.20 +
trend_score × 0.20
)
```
**Component Calculations:**
```
engagement_score = normalize(
time_on_page_score × 0.4 +
bounce_rate_score × 0.3 +
scroll_depth_score × 0.3
)
seo_score = normalize(
ctr_score × 0.4 +
position_score × 0.4 +
impressions_growth × 0.2
)
ranking_score = normalize(
avg_position × 0.5 +
visibility_score × 0.3 +
keyword_coverage × 0.2
)
trend_score = normalize(
traffic_trend × 0.4 +
ranking_trend × 0.3 +
engagement_trend × 0.3
)
```
### Score Interpretation
| Score | Rating | Status | Action |
|-------|--------|--------|--------|
| 90-100 | Excellent | Performing optimally | Maintain, minor tweaks |
| 75-89 | Good | Solid performance | Optimize weak areas |
| 60-74 | Fair | Room for improvement | Address key issues |
| 40-59 | Poor | Underperforming | Major revision needed |
| 0-39 | Critical | Failing | Complete overhaul |
## Trend Analysis
### Week-over-Week Comparison
```markdown
| Metric | This Week | Last Week | Change | Status |
|--------|-----------|-----------|--------|--------|
| Sessions | 1,245 | 1,180 | +5.5% | ↑ GROWING |
| Avg Position | 4.2 | 4.8 | +0.6 | ↑ IMPROVING |
| CTR | 2.8% | 2.6% | +0.2pp | ↑ IMPROVING |
| Bounce Rate | 42% | 38% | +4pp | ↓ DECLINING |
```
### Interpreting Trends
| Trend Pattern | Interpretation | Recommended Action |
|---------------|----------------|-------------------|
| ↑↑↑ All metrics up | Content gaining momentum | Double down, create related content |
| ↑↓↑ Mixed signals | Transition period | Monitor closely, identify cause |
| ↓↓↓ All metrics down | Content declining | Urgent refresh needed |
| →→→ All flat | Plateau reached | Experiment with new angles |
## Anomaly Detection
### Significant Change Thresholds
| Metric | Significant Change | Alert Level |
|--------|-------------------|-------------|
| Traffic | ±30% WoW | HIGH |
| CTR | ±1pp WoW | MEDIUM |
| Position | ±5 positions | HIGH |
| Bounce Rate | ±10pp WoW | MEDIUM |
### Common Anomaly Causes
| Anomaly | Possible Causes |
|---------|-----------------|
| Sudden traffic drop | Algorithm update, technical issue, competitor |
| CTR spike | SERP feature win, seasonal interest |
| Position fluctuation | Google testing, competitor changes |
| Engagement drop | Content staleness, UX issue |
## Output Templates
### Metric Summary Card
```markdown
## {Metric Name}
**Current Value**: {value}
**Benchmark**: {benchmark}
**Status**: {GOOD|WARNING|POOR}
**Trend**: {↑|→|↓} ({change}% vs last period)
**Interpretation**: {1-2 sentence explanation}
**Recommended Action**: {specific action if needed}
```
### Executive Summary
```markdown
## Content Performance Summary
**Overall Health**: {score}/100 ({rating})
### Key Wins
- {positive finding 1}
- {positive finding 2}
### Concerns
- {issue 1}
- {issue 2}
### Priority Actions
1. {highest priority action}
2. {second priority action}
3. {third priority action}
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