C4B Practice
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#76Chapter 11 — Influencer & Partnership Marketing
Analyze the performance data from our influencer campaign and give me actionable insights.

**Campaign overview:**
- Brand: [name]
- Product: [what was being promoted]
- Campaign goal: [awareness / traffic / sales]
- Total budget: [amount]
- Campaign dates: [start — end]

**Per-creator performance data:**

| Creator | Platform | Format | Fee | Impressions | Likes | Comments | Shares | Saves | Clicks | Conversions |
|---------|----------|--------|-----|-------------|-------|----------|--------|-------|--------|-------------|
| [Name1] | Instagram | Reel | $X | X | X | X | X | X | X | X |
| [Name2] | TikTok | Video | $X | X | X | X | X | X | X | X |
| [add all creators] |

**Analyze and provide:**
1. **Creator ranking** by cost-per-engagement (CPE) and cost-per-click (CPC). Who delivered the most value per dollar spent?
2. **Format analysis** — which content formats drove the best engagement? Best clicks? Best conversions?
3. **Messaging insights** — if I paste the top 3 and bottom 3 performing captions/scripts below, identify what messaging patterns drove results. [PASTE TOP AND BOTTOM CONTENT IF AVAILABLE]
4. **Re-engagement recommendations** — which creators should we work with again? Which should we drop? Which should we give a second chance with adjusted format/messaging?
5. **Next campaign brief** — based on these results, what should the next campaign emphasize? Which formats, messaging angles, and creator tiers?

Be specific. "Creator A outperformed" isn't useful. "Creator A delivered 3.2x the engagement per dollar compared to the campaign average, primarily driven by her Reel format where comment rate was 4x the static post average" is useful.
Claude for Marketers
Claude for Marketers

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