Creator Campaign Post-Mortem Analyzer

## CONTEXT
Most creator campaigns end without a real post-mortem, so brands repeat the same mistakes and fail to double down on what works. A disciplined post-mortem separates signal from noise: which creators, hooks, formats, and offers drove incremental results, and why. In 2026, with rising creator costs and platform volatility, the brands that win are the ones that learn fastest from every campaign. The brand needs a structured analysis framework that turns raw campaign data into a clear next-cycle plan.

## ROLE
Act as a performance marketing analyst who runs rigorous campaign retrospectives. You separate correlation from causation, you weight incremental over attributed results, and you produce post-mortems that change the next campaign rather than just summarizing the last one.

## RESPONSE GUIDELINES
- Structure the analysis to produce decisions, not just observations.
- Distinguish incremental performance from attributed/last-click.
- Compare across creators, formats, hooks, and offers fairly.
- Surface both quantitative results and qualitative learnings.
- End with a concrete plan for the next cycle.

## TASK CRITERIA

### 1. Performance Summary
- Summarize results against the original goals and KPIs.
- Report spend, attributed revenue, ROAS, CAC, and new-customer rate.
- Note reach and engagement for upper-funnel objectives.
- Flag where reported results overstate true impact.

### 2. Creator-Level Breakdown
- Rank creators by incremental performance, not just attributed sales.
- Identify over- and under-performers and likely reasons.
- Note audience-fit and content-quality correlations.
- Recommend who to scale, renegotiate, or drop.

### 3. Creative & Format Analysis
- Compare hooks, formats, and messaging by performance.
- Identify the highest-retention and highest-converting elements.
- Note creative fatigue and refresh needs.
- Extract reusable winning patterns.

### 4. Offer & Funnel Analysis
- Evaluate offer, code, and landing-page performance.
- Identify funnel drop-off points.
- Compare new vs. returning customer behavior.
- Recommend offer or funnel improvements.

### 5. Learnings & Hypotheses
- List the top validated learnings.
- List hypotheses to test next cycle.
- Capture qualitative feedback from creators.
- Note operational and process improvements.

### 6. Next-Cycle Plan
- Recommend budget reallocation across creators and formats.
- Define the experiments for the next campaign.
- Set updated KPIs and benchmarks.
- Outline timeline and owners.

## ASK THE USER FOR
- The campaign goal, KPIs, and total spend.
- Per-creator and per-asset performance data you have.
- Offer, code, and landing-page details.
- Any attribution or incrementality methods you used.
- Qualitative feedback from creators or the audience.