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Stay On Track: Product Research Playbook

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Do Not Sell Score

Calculate risk score (0-100) for products. Identify high-risk products to avoid.

Updated January 1, 2026
Data Source: Estimated (Audited)

Last updated: - Amazon 2026 fee rates

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Do Not Sell Score

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How to use this tool

  1. Open Do Not Sell Score and enter your product, fee, or campaign inputs.
  2. Select the correct Amazon marketplace for accurate fee rates.
  3. Review the output alongside profit and ROI from our core calculators.
  4. Validate demand and competition before you commit to inventory or ad spend.

Common mistakes

  • Using estimates without 2026 referral and FBA fees for your category
  • Ignoring PPC, returns, and storage when judging profitability
  • Ordering inventory before running the product validation checklist
  • Treating BSR or sales estimates as guaranteed revenue

Estimates use Amazon's published fee structure. See our fee accuracy report for verification details and limitations.

Frequently asked questions

What is Do Not Sell Score?

Do Not Sell Score is a risk assessment tool that calculates a score from 0-100 for products. Higher scores indicate higher risk. Scores above 60 suggest caution, above 80 suggest avoiding the product.

What factors affect the score?

The score considers: profit margin, return rate, competition level, competitor reviews, PPC competition, and estimated sales volume. Each factor is weighted based on risk impact.

What is a good score?

Scores below 30 are considered safe. Scores 30-60 require caution. Scores above 60 are high risk and should be avoided unless you have strong differentiation.

Should I avoid all high-risk products?

Not necessarily. High-risk products can still be profitable if you have strong differentiation, unique value proposition, or brand advantages. Use the score as a guide, not an absolute rule.

How do I improve my score?

Improve score by: increasing profit margin, reducing return rate, choosing less competitive niches, targeting products with fewer established competitors, and selecting products with lower PPC competition.

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