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Analyzes influencer campaign performance across metrics including reach, engagement, conversions, and sentiment. Provides insights to understand what worked and optimize future campaigns.
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SOC 職業分類に基づく
| 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. |
This skill helps you analyze influencer marketing campaign performance comprehensively. It goes beyond surface metrics to understand what truly worked and why.
Analyze performance of [campaign name] influencer campaign
Compare performance of these influencers from [campaign]: @handle1, @handle2, @handle3
What content performed best in our recent influencer campaign?
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]
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.
Reviews influencer content submissions for brand safety, messaging accuracy, creative quality, and compliance before publication. Provides structured feedback to ensure content meets standards while respecting creative vision.
Helps draft and review influencer agreements covering compensation, deliverables, usage rights, exclusivity, and compliance requirements. Ensures both parties are protected with clear terms.
Manages influencer outreach including personalized pitch creation, follow-up sequences, negotiation strategies, and relationship tracking. Helps secure partnerships efficiently while building genuine connections.
Develops strategies to amplify influencer content through paid media, including whitelisting, boosting, and repurposing for ads. Maximizes reach and impact of best-performing organic content.
Optimizes landing pages for influencer-driven traffic to maximize conversions. Ensures consistency between influencer content and landing experience for better performance.
Transforms influencer content into multiple formats for use across channels including ads, website, email, and social. Maximizes the value of every piece of content created.