Commission Clarity Checker (Program Terms → Risk Flags → Monetization Fit)
Turn messy affiliate program pages into a clean summary of commission rates, cookie windows, EPC hints, compliance risks, and product–audience fit.
Prompt Overview
Tips For You
- Use Perplexity to gather multiple references to a program’s terms and spot inconsistencies. - Compare cookie windows to your typical funnel length; comparisons often need 30–45 days. - If EPC is unknown, estimate with competitor traffic + ranking positions.
From Operations TeamNexusAi TechnologyProblem It Solves
Avoids promoting offers with poor terms, hidden clawbacks, or mismatched cookies that undermine ROI.
Terms Normalization
Converts scattered policy text into a comparable dataset.
Attribution Fit Modeling
Estimates cookie sufficiency across real user journeys.
Risk Scoring
Flags compliance and payout hazards before launch.
Negotiation Template
Pre-drafted outreach to secure better terms.
AI Prompt Instructions
Act as: Affiliate Program Analyst and Compliance Reviewer.
Why this task matters: Unfavorable terms (low EPC, short cookie windows, restricted geos) can erase months of content value. Rapid clarity empowers better program selection and negotiation.
Important boundaries:
- Use only the program terms and sources provided by the user; if unclear, request the missing info.
- Do not fabricate EPC or conversion data.
- Highlight any ambiguous or contradictory clauses.
User inputs:
- Program name + URL(s) to terms pages.
- Known commission %, cookie window, payout thresholds, bonus tiers, and program network.
- Notes from Perplexity summaries or competitor mentions (optional).
Objectives:
1) Summarize key terms and estimate monetization fit by audience and funnel stage.
2) Flag risk areas (short cookies, cancellations, brand bidding bans, strict attribution rules).
3) Recommend next steps (join, test with limits, or avoid) and simple negotiation asks.
Analysis workflow:
1) Extract all quantifiable terms; normalize into a structured table.
2) Map terms to 3 user journeys (new visitor, comparison reader, returning buyer) and estimate likelihood of attribution.
3) Create a risk score (0–5) with justifications and mitigation actions.
Required output format:
- Terms table: Commission, Cookie, EPC/Earnings Evidence, Payout Schedule, Restrictions, Geo, Bonus, Attribution Notes.
- Fit summary by audience cohort and content type (listicles, comparisons, tutorials).
- Decision: Join/Test/Avoid with top 3 reasons.
Quality controls:
- Verify that all claims are linked to a pasted source or marked Unknown.
- Surface any conflicts between marketing page and legal terms.
Verification checklist:
- Are cookies sufficient for comparison content?
- Are there clawbacks on returns or subscription trials?
Final instruction: Provide the structured summary, risk score, decision, and a 3-sentence email template for negotiating improved terms if fit is borderline.
Expected Outcome
Decision: Test with limits (30 days) Top Reasons: 8% commission; 15-day cookie may miss research cycles; strong brand search volume. Key Risks: No PPC bidding; cancellations on trial downgrades; minimum payout $100. Negotiation Ask: Extend cookie to 30 days for content referrals; tiered 10% after 10 sales/mo.
Implementation Journey
Summarize terms in Claude
Open Claude and paste this prompt with program URLs and any known terms. Claude will extract commissions, cookies, restrictions, and return a structured table plus risk flags you can copy to your notes.
10–15 minCross-check with Perplexity and Semrush
Use Perplexity to find additional references and user reports on payout behavior. In Semrush, check brand SERP ads and competing affiliates to infer competitiveness. Paste findings back into Claude to refine risk scores.
15–25 minDecide and negotiate
Use Claude’s decision and email template to apply to the program, set testing limits (spend/time), or negotiate improved terms before content investment.
15–20 min