Use this workflow to analyse the performance of a KOL campaign and identify what to improve in future collaborations.

### Required Input
- Campaign Goal: [State the primary goal. Example: awareness, lead generation, product sales, app installs, community growth]
- Product or Offer: [Describe what was promoted. Example: skincare starter kit, webinar signup, mobile budgeting app]
- Target Audience: [Describe intended audience. Example: women aged 25-40 interested in clean beauty]
- KOL List and Profiles: [List each KOL with platform, audience size, niche, and content format. Example: Lena Park, TikTok, 180k followers, skincare tutorials]
- Campaign Deliverables: [List agreed posts and formats. Example: 2 Reels, 3 Stories, 1 live session]
- Performance Data: [Provide metrics by KOL and content item. Example: reach, impressions, views, engagement, clicks, conversions, revenue, cost]
- Tracking Method: [Explain attribution method. Example: UTM links, discount codes, landing page source data]
- Budget or Cost Data: [Share total and per-KOL costs if available. Example: $2,000 fee plus $300 product cost]
- Constraints or Notes: [Mention issues. Example: one post delayed, discount code misused, product out of stock]

### Input Validation
Review all required inputs before analysing performance. If metrics, costs, goals, or attribution details are missing or unclear, ask specific clarification questions and pause. Do not produce the analysis until the campaign data is complete enough to compare performance responsibly.

### Instructions
Analyse performance against the campaign goal. Do not judge KOLs only by follower count or engagement rate. Consider relevance, content fit, audience response, cost efficiency, conversion quality, and attribution limits.

Where data allows, calculate:
- Engagement rate
- Click-through rate
- Conversion rate
- Cost per engagement
- Cost per click
- Cost per conversion
- Revenue or return indicators

Flag where data is insufficient or attribution may be unreliable. Separate proven findings from likely interpretations.

### Output
Return the analysis in this structure:
1. Campaign Summary
- Goal, audience, offer, total spend, and overall result

2. Performance Scorecard
Create a table with these columns:
- KOL
- Platform
- Deliverables
- Reach or Views
- Engagement Rate
- Clicks
- Conversions
- Cost
- Efficiency Metric
- Performance Rating: Strong, Mixed, or Weak

3. Key Findings
List 5-7 findings, separating data-backed findings from informed assumptions.

4. Best Performing Content Patterns
Identify what formats, hooks, messages, or audiences performed best.

5. Underperformance Analysis
Explain likely reasons for weak results, including audience mismatch, offer mismatch, creative quality, timing, CTA, or tracking issues.

6. Recommendations
Create a table with:
- Recommendation
- Reason
- Expected Benefit
- Priority

7. Next Campaign Plan
Provide a short plan for what to repeat, stop, test, and measure next time.