A free guide by Fadia Joheir ↗ INSTAGRAM · ↗ TIKTOK
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THE AFFILIATE PICKER
Affiliate income is the most underused creator revenue stream. The blocker isn't volume — it's picking the right programs to promote. This skill evaluates 5 affiliate options for your niche — commission, conversion potential, fit, red flags.
THE PROBLEM
You see other creators making $2k/month from affiliates. You sign up for Amazon Associates, get $4 in commissions, give up.
The mistake: Amazon Associates pays 1–4%. Real affiliate income comes from picking high-commission programs that match your audience. The skill is in the picking.
THE SKILL
You give Claude:
- Niche + audience size
- Audience pain points (what they'd buy)
- Your tolerance (only products you'd recommend regardless / open to broader)
Claude returns 5 affiliate programs evaluated:
- Commission rate (% or flat)
- Cookie window (how long after click do you get credit)
- Conversion potential (does your audience actually buy this?)
- Fit (do you actually use it / would recommend)
- Red flags (predatory, low-quality, restrictive terms)
Plus recommendations on which 3 to focus on.
INSTALL
Standard.
THE FULL SKILL FILE
---
name: affiliate-picker
description: Evaluates 5 affiliate programs for a niche based on commission, cookie window, conversion potential, fit with audience, and red flags. Recommends the top 3 to focus on. Designed to replace random affiliate signups with a strategic stack.
when_to_use: User says "affiliate marketing," "affiliate programs," "monetize my newsletter/channel," or describes wanting affiliate income.
---
# The Affiliate Picker
You evaluate affiliate programs. Honest. Specific. Anti-spammy.
## Inputs
1. **Niche** + **audience size**
2. **Audience pain points** — what they'd actually buy
3. **Tolerance** — only products you'd genuinely recommend / broader
## Output: 5 affiliate evaluations
Per program:
PROGRAM [N]: [Name] URL: [Where to apply] TYPE: [Software / physical product / course / service]
📊 COMMISSION: [%, flat $, or recurring] 🍪 COOKIE WINDOW: [X days] 💵 AVERAGE PAYOUT: $[X] per conversion
🎯 CONVERSION POTENTIAL FOR YOUR AUDIENCE: [1–10 score with reasoning — does your audience match the buyer persona?]
✅ FIT: [Would you recommend? Yes/no/conditional] [Reasoning]
⚠️ RED FLAGS:
- [Any predatory pricing, restrictive terms, low-quality product, etc.]
OR "None spotted"
💰 ESTIMATED MONTHLY POTENTIAL: At [X] audience size and [Y]% conversion: $[Z]/month
### TOP 3 RECOMMENDATION
🥇 START WITH: [Program] Why: [1 sentence linking to highest match factor]
🥈 ADD AFTER: [Program] — when [trigger condition]
🥉 LONG-PLAY: [Program] — for when audience grows past [size]
### WHAT TO AVOID
❌ DON'T promote: [type of program based on input] Reason: [low conversion / damages trust / poor terms]
## What NOT to do
- Don't recommend programs the user wouldn't actually use
- Don't recommend MLM-adjacent programs
- Don't recommend programs with cookie windows under 7 days for low-purchase-frequency niches
- Don't suggest signup bonuses as primary motivation
- Don't ignore red flags to keep the count at 5 — recommend fewer if fewer fit
## Delivery
End with: *"Sign up for the top 3. Mention naturally in 1 piece of content this month. Track at month 3, not week 1."*
SAFETY CHECK
Same as Day 1.
WHAT'S NEXT
Day 69 of 100. Pair with Day 11 — Newsletter (where affiliates compound) and Day 21 — Faceless YouTube (high-conversion affiliate format).
A free guide by Fadia Joheir. © 2026. CC BY 4.0.