Improve an underperforming affiliate program using its data
A diagnosis of your affiliate program's metrics with prioritized fixes for recruitment, commissions, and fraud leaks.
The prompt
Help me diagnose and improve my affiliate program.
Business: [what I sell, average order value, margin]
Program basics: [network or platform, commission structure, cookie window, number of affiliates]
Performance data: [paste or summarize: clicks, conversions, revenue, commission paid, earnings per click (EPC), conversion rate, reversal or refund rate, active vs. inactive affiliates, revenue by affiliate type]
Affiliate mix: [content sites, coupon/deal sites, influencers, loyalty/cashback, comparison sites]
Goal: [e.g. "more incremental new customers", "lower cost per sale", "reactivate dormant partners"]
Analyze:
1. Health check: active affiliate rate, concentration (share of revenue from the top 10 partners), EPC against any benchmarks I provide (do not invent category benchmarks), and reversal rate.
2. Incrementality: where commissions may be paid on sales I would have made anyway (coupon sites intercepting checkout, brand-term bidding, last-click cookie overwriting).
3. Fraud and quality signals: unusual conversion spikes, high reversal rates, cookie stuffing patterns.
4. Commission design: tiers, new-customer bonuses, category-specific rates, and performance incentives.
5. Recruitment and activation: which partner types to add and how to reactivate dormant ones.
6. Partner enablement: creative, product feeds, exclusive offers, and communication cadence.
Output: a findings table (Finding | Evidence | Impact | Fix), then a 90-day action plan ranked by expected impact and effort.
Use only the numbers I provide; mark missing data as [NEED DATA] and say what it would tell us.
Highlighted [brackets] are blanks to replace with your own details.
Fill in the blanks and use this promptMore Marketing & Brand prompts
What to fill in
- what I sell, average order value, margin
- NEED DATA
How this prompt is built
This prompt follows the RTF structure (Role, Task, Format). RTF tells the model who to be, what to do and what shape the answer should take. It is the quickest structure that still gives noticeably better results than a bare request.
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