| name | performance-analyzer |
| description | Analyzes influencer campaign performance across metrics including reach, engagement, conversions, and sentiment. Provides insights to understand what worked and optimize future campaigns. |
Performance Analyzer
This skill helps you analyze influencer marketing campaign performance comprehensively. It goes beyond surface metrics to understand what truly worked and why.
When to Use This Skill
- Evaluating campaign results mid-flight or post-campaign
- Comparing influencer performance
- Identifying top-performing content
- Understanding engagement quality
- Analyzing conversion attribution
- Building performance benchmarks
What This Skill Does
- Metric Analysis: Tracks all relevant performance metrics
- Benchmark Comparison: Compares against industry standards
- Influencer Ranking: Identifies top performers
- Content Analysis: Finds what content works best
- Attribution: Connects influencer activity to conversions
- Insights Generation: Provides actionable learnings
How to Use
Analyze Campaign Performance
Analyze performance of [campaign name] influencer campaign
Compare Influencers
Compare performance of these influencers from [campaign]: @handle1, @handle2, @handle3
Identify Winning Content
What content performed best in our recent influencer campaign?
Instructions
When a user requests performance analysis:
-
Gather Performance Data
### Performance Data Collection
**Campaign**: [name]
**Period**: [start] - [end]
**Influencers**: [count]
**Platforms**: [platforms]
### Data Sources
| Source | Metrics Available | Collection Method |
|--------|-------------------|-------------------|
| Native analytics | Reach, views, engagement | Platform export |
| Influencer reports | Screenshots/exports | From creators |
| Website analytics | Traffic, conversions | GA/tracking |
| Sales data | Revenue, orders | E-commerce platform |
| Promo code data | Redemptions | Sales system |
-
Analyze Core Metrics
## Campaign Performance Overview
### Summary Metrics
| Metric | Result | Target | vs. Target | vs. Benchmark |
|--------|--------|--------|------------|---------------|
| Total Reach | [X] | [X] | [+/-X%] | [+/-X%] |
| Total Impressions | [X] | [X] | [+/-X%] | [+/-X%] |
| Total Engagements | [X] | [X] | [+/-X%] | [+/-X%] |
| Engagement Rate | [X%] | [X%] | [+/-X%] | [+/-X%] |
| Total Video Views | [X] | [X] | [+/-X%] | [+/-X%] |
| Link Clicks | [X] | [X] | [+/-X%] | [+/-X%] |
| Promo Code Uses | [X] | [X] | [+/-X%] | N/A |
| Conversions | [X] | [X] | [+/-X%] | [+/-X%] |
| Revenue | $[X] | $[X] | [+/-X%] | N/A |
### Performance Score: [X/10]
**Assessment**: [Excellent/Good/Average/Below Average/Poor]
### Key Highlights
✅ **What Exceeded Expectations**:
- [Highlight 1]
- [Highlight 2]
⚠️ **What Underperformed**:
- [Issue 1]
- [Issue 2]
-
Analyze by Platform
## Platform Performance
### Platform Comparison
| Platform | Reach | Engagements | ER | Clicks | Conversions | CPA |
|----------|-------|-------------|-------|--------|-------------|-----|
| Instagram | [X] | [X] | [%] | [X] | [X] | $[X] |
| TikTok | [X] | [X] | [%] | [X] | [X] | $[X] |
| YouTube | [X] | [X] | [%] | [X] | [X] | $[X] |
| **Total** | **[X]** | **[X]** | **[%]** | **[X]** | **[X]** | **$[X]** |
### Platform Insights
**Best Performing Platform**: [Platform]
- Why: [analysis]
- Key content: [what worked]
**Underperforming Platform**: [Platform]
- Why: [analysis]
- Improvement opportunity: [suggestion]
### Platform-Specific Metrics
#### Instagram
| Metric | Feed Posts | Reels | Stories |
|--------|------------|-------|---------|
| Reach | [X] | [X] | [X] |
| Engagements | [X] | [X] | [X] |
| ER | [%] | [%] | [%] |
| Saves | [X] | [X] | N/A |
| Shares | [X] | [X] | [X] |
#### TikTok
| Metric | Result | Benchmark |
|--------|--------|-----------|
| Views | [X] | |
| Likes | [X] | |
| Comments | [X] | |
| Shares | [X] | |
| Average Watch Time | [X]s | |
| Completion Rate | [%] | |
-
Analyze by Influencer
## Influencer Performance
### Influencer Ranking
| Rank | Influencer | Reach | ER | Conversions | ROI | Score |
|------|------------|-------|-------|-------------|-----|-------|
| 1 | @[handle] | [X] | [%] | [X] | [X]:1 | ⭐⭐⭐⭐⭐ |
| 2 | @[handle] | [X] | [%] | [X] | [X]:1 | ⭐⭐⭐⭐ |
| 3 | @[handle] | [X] | [%] | [X] | [X]:1 | ⭐⭐⭐⭐ |
| 4 | @[handle] | [X] | [%] | [X] | [X]:1 | ⭐⭐⭐ |
| 5 | @[handle] | [X] | [%] | [X] | [X]:1 | ⭐⭐ |
### Top Performers Deep Dive
#### #1: @[handle]
| Metric | Result | vs. Campaign Avg |
|--------|--------|------------------|
| Reach | [X] | [+/-X%] |
| Engagement Rate | [%] | [+/-X%] |
| Video Completion | [%] | [+/-X%] |
| Click-through Rate | [%] | [+/-X%] |
| Conversion Rate | [%] | [+/-X%] |
| Cost per Conversion | $[X] | [+/-X%] |
**Why They Performed Well**:
- [Reason 1]
- [Reason 2]
- [Reason 3]
**Content Analysis**:
- Format: [what they posted]
- Hook: [how they opened]
- Message: [how they communicated]
- CTA: [what they asked viewers to do]
**Recommendation**: [Renew/Expand/Ambassador potential]
### Underperformers Analysis
#### @[handle]
**Results**: [summary]
**Why Underperformed**: [analysis]
**Learning**: [what to do differently]
-
Content Performance Analysis
## Content Performance
### Top Performing Content
| Rank | Creator | Platform | Format | Reach | ER | Key Feature |
|------|---------|----------|--------|-------|-------|-------------|
| 1 | @[handle] | [platform] | [format] | [X] | [%] | [why it worked] |
| 2 | @[handle] | [platform] | [format] | [X] | [%] | [why it worked] |
| 3 | @[handle] | [platform] | [format] | [X] | [%] | [why it worked] |
### Content Format Analysis
| Format | Pieces | Avg Reach | Avg ER | Best Performer |
|--------|--------|-----------|--------|----------------|
| Video (Reels/TikTok) | [#] | [X] | [%] | @[handle] |
| Static Images | [#] | [X] | [%] | @[handle] |
| Carousels | [#] | [X] | [%] | @[handle] |
| Stories | [#] | [X] | [%] | @[handle] |
| YouTube Videos | [#] | [X] | [%] | @[handle] |
### Content Theme Analysis
| Theme | Pieces | Avg ER | Conversion Rate | Notes |
|-------|--------|--------|-----------------|-------|
| Product demo | [#] | [%] | [%] | [notes] |
| Lifestyle | [#] | [%] | [%] | [notes] |
| Tutorial | [#] | [%] | [%] | [notes] |
| Review | [#] | [%] | [%] | [notes] |
| Unboxing | [#] | [%] | [%] | [notes] |
### Winning Content Patterns
**Hook Patterns That Worked**:
- [Pattern 1]: [examples]
- [Pattern 2]: [examples]
**Messaging That Resonated**:
- [Message type 1]: [why it worked]
- [Message type 2]: [why it worked]
**Visual Elements That Performed**:
- [Element 1]
- [Element 2]
-
Engagement Quality Analysis
## Engagement Quality
### Engagement Breakdown
| Type | Volume | % of Total | Quality Assessment |
|------|--------|------------|-------------------|
| Likes | [X] | [%] | Passive |
| Comments | [X] | [%] | [quality] |
| Saves | [X] | [%] | High intent |
| Shares | [X] | [%] | High value |
| Link clicks | [X] | [%] | Direct action |
### Comment Sentiment Analysis
| Sentiment | % | Examples |
|-----------|---|----------|
| Positive | [%] | "[example]", "[example]" |
| Neutral/Questions | [%] | "[example]", "[example]" |
| Negative | [%] | "[example]", "[example]" |
**Key Themes in Comments**:
- [Theme 1]: [frequency] mentions
- [Theme 2]: [frequency] mentions
- [Theme 3]: [frequency] mentions
### Purchase Intent Signals
| Signal | Count | Examples |
|--------|-------|----------|
| "Where to buy" questions | [#] | |
| Price questions | [#] | |
| Code requests | [#] | |
| "Just ordered" | [#] | |
| Tagged friends | [#] | |
### Engagement Quality Score: [X/10]
-
Conversion & Attribution Analysis
## Conversion Analysis
### Conversion Funnel
Reach [XXXXXXXXXX] 1,000,000 (100%)
↓
Engagements [XXXXXXX ] 150,000 (15%)
↓
Link Clicks [XXX ] 25,000 (2.5%)
↓
Site Visits [XX ] 20,000 (2%)
↓
Add to Cart [X ] 5,000 (0.5%)
↓
Purchases [X ] 2,000 (0.2%)
### Conversion Metrics
| Metric | Result | Benchmark | Status |
|--------|--------|-----------|--------|
| Click-through Rate | [%] | [%] | ✅/❌ |
| Landing Page CVR | [%] | [%] | ✅/❌ |
| Overall CVR | [%] | [%] | ✅/❌ |
| Cost per Click | $[X] | $[X] | ✅/❌ |
| Cost per Conversion | $[X] | $[X] | ✅/❌ |
### Attribution by Method
| Method | Conversions | Revenue | % of Total |
|--------|-------------|---------|------------|
| Promo codes | [X] | $[X] | [%] |
| UTM tracking | [X] | $[X] | [%] |
| Direct attribution | [X] | $[X] | [%] |
| Estimated influence | [X] | $[X] | [%] |
### Promo Code Performance
| Code | Influencer | Uses | Revenue | AOV |
|------|------------|------|---------|-----|
| [CODE1] | @[handle] | [X] | $[X] | $[X] |
| [CODE2] | @[handle] | [X] | $[X] | $[X] |
| [CODE3] | @[handle] | [X] | $[X] | $[X] |
-
Generate Insights & Recommendations
## Insights & Recommendations
### Top 5 Learnings
1. **[Learning 1]**
- What we observed: [data]
- Why it matters: [significance]
- Future application: [how to use this]
2. **[Learning 2]**
- What we observed: [data]
- Why it matters: [significance]
- Future application: [how to use this]
[Continue for top 5]
### What Worked
| Element | Performance | Recommendation |
|---------|-------------|----------------|
| [Element 1] | [metric] | Do more of this |
| [Element 2] | [metric] | Expand this approach |
### What Didn't Work
| Element | Performance | Recommendation |
|---------|-------------|----------------|
| [Element 1] | [metric] | Adjust or eliminate |
| [Element 2] | [metric] | Test alternatives |
### Optimization Opportunities
| Opportunity | Expected Impact | Effort | Priority |
|-------------|-----------------|--------|----------|
| [Opportunity 1] | [impact] | [effort] | High |
| [Opportunity 2] | [impact] | [effort] | Medium |
| [Opportunity 3] | [impact] | [effort] | Low |
### Influencer Roster Recommendations
| Influencer | Recommendation | Rationale |
|------------|----------------|-----------|
| @[handle1] | Renew/Ambassador | Top performer |
| @[handle2] | Renew at same level | Solid results |
| @[handle3] | Don't renew | Below expectations |
| @[handle4] | Increase investment | High potential |
### Future Campaign Recommendations
1. **Platform Mix**: [recommendation]
2. **Influencer Tier**: [recommendation]
3. **Content Format**: [recommendation]
4. **Messaging**: [recommendation]
5. **Budget Allocation**: [recommendation]
Example
User: "Analyze performance of our summer skincare campaign with 10 influencers"
Output:
# Summer Skincare Campaign Performance Analysis
## Executive Summary
**Campaign Performance**: Above Average (7.5/10)
| Metric | Result | Target | Status |
|--------|--------|--------|--------|
| Total Reach | 2.4M | 2M | ✅ +20% |
| Engagement Rate | 4.2% | 3.5% | ✅ +20% |
| Conversions | 1,847 | 2,000 | ⚠️ -8% |
| Revenue | $142,500 | $150,000 | ⚠️ -5% |
| ROI | 2.8:1 | 3:1 | ⚠️ -7% |
## Top 3 Performers
1. **@skincaresarah** - ROI 4.2:1, highest conversions
2. **@glowwithgrace** - Best engagement (6.8%)
3. **@beautyreview** - Highest reach per dollar
## Key Learning
TikTok outperformed Instagram significantly (3.5:1 ROI vs 2.1:1). Recommend shifting 20% of Instagram budget to TikTok for future campaigns.
## Recommendation
Renew partnerships with top 5 performers. Replace bottom 2 with TikTok-native creators.
Related Skills
