Should you launch this product on Amazon?
Most Amazon tools give you data. They don't give you a decision. Paste your product research below and get an honest ENTER · DIFFICULT · AVOID verdict, with a success probability and the exact reasons behind it.
- No login
- No Amazon API needed
- 11-factor scoring model
- Built by sellers, for sellers
Product Validation Inputs
Pull these numbers from Helium 10, Jungle Scout, SellerAmp, Keepa, or manual Amazon research. The engine does the thinking.
How the Decision Engine Thinks
The engine mirrors the workflow of an experienced Amazon consultant. Instead of dumping 25 separate metrics on you, it normalizes every signal to a 0–100 sub-score, weights each one by how often it actually kills new product launches, and combines them into one Opportunity Score and a plain-English verdict.
- Demand Score (weight 20%) — blends keyword volume, top-10 revenue, and the trend curve. Rewards consistent demand over spiky novelty products.
- Competition Score (weight 18%) — penalizes high average review counts and high-rating incumbents. Heavy review moats are the #1 reason new launches stall.
- Brand Domination (weight 14%) — counts established brands and Amazon's private label. If Amazon Basics is in the top 10, margins are usually gone.
- China Risk (weight 12%) — Chinese factory-direct sellers can undercut you by 30–60% on price. High dominance means a race to the bottom.
- PPC Difficulty (weight 12%) — uses CPC and price to estimate whether ad spend will eat your margin. Anything above 25% ACoS on a low-ticket SKU is dangerous.
- Margin Score (weight 14%) — net unit margin after Amazon fees (~15% referral + ~$4 FBA), COGS, and a 15% PPC reserve.
- Capital Score (weight 10%) — checks if your initial inventory + launch PPC + buffer is realistic for the niche.
The final Opportunity Score is a weighted average. Success Probability is calibrated against historical launch data: ENTER above 70, DIFFICULT between 50 and 70, AVOID below 50. Any single critical-risk flag (Amazon brand present, China-high + commodity, negative margin) can downgrade the verdict regardless of the average.
Why this is different from Helium 10, Jungle Scout & SellerAmp
Traditional tools
- Show you 25 metrics
- Leave the interpretation to you
- Require a paid subscription
- Depend on Amazon API access
- Optimize for data volume
Decision Engine
- Gives you one verdict
- Explains the reasoning in English
- Free, no login
- Works with any data source
- Optimizes for decision quality
Frequently Asked Questions
How accurate is the success probability?
It is a calibrated estimate based on the 11 weighted factors most correlated with launch failure in our internal seller surveys. Treat it as a directional sanity check, not a guarantee. A 75% score means most sellers with this data profile reached profitability within 9–12 months; a 30% score means most did not.
Do I need a Helium 10 or Jungle Scout subscription to use this?
No. You can paste data from any source — paid tools, Keepa, or manual Amazon scraping. The engine is data-agnostic.
Why don't you just call the Amazon API?
Amazon's SP-API is restricted to sellers analyzing their own catalog. Public product research APIs are unreliable, expensive, and frequently throttled. By staying API-free we keep the tool free, fast, and immune to Amazon policy changes.
What does "China Risk" actually measure?
The share of top-20 listings shipped from Chinese factory-direct sellers. These competitors typically have 30–60% lower COGS and can survive price wars that crush US-based brands.
My product passed but I am still scared. What now?
Validate further: order 1–3 units of the top competitors, audit their listings, run a small Facebook ad to a landing page to test demand, and pre-order a 100-unit test batch before committing to 500+.
Why does Amazon Basics presence matter so much?
When Amazon launches its own version, it controls the buy box algorithm, can price below cost, and has zero ad spend. Categories with Amazon brands have a documented ~70% lower third-party seller survival rate.
Is a high review count always bad?
Not always — it confirms demand. But if the top 10 average more than 1,500 reviews and 4.4+ stars, the moat is too deep for a new SKU without a clear differentiator.
What is a healthy margin for Amazon FBA?
Aim for 30%+ net margin after fees, COGS, and PPC. Below 20% and one bad month of returns or PPC inefficiency wipes out the year.
How is PPC Difficulty calculated?
It models expected ACoS using your CPC, your price, and a 10% baseline conversion rate. If projected ACoS exceeds 30% on a sub-$25 product, the score drops sharply.
Does seasonality automatically downgrade my score?
Seasonal products are penalized on demand stability but not banned. The engine flags them so you can plan cash flow around peak months.
Can I use this for Amazon UK, Canada, or Australia?
Yes. The model is marketplace-agnostic. Just feed in marketplace-specific volume, revenue, and CPC numbers.
What if my product is in a brand new niche with no data?
The engine will warn you with low confidence. New niches are high-risk, high-reward — validate with off-Amazon channels (TikTok, Etsy, Shopify) before committing inventory.
Why is initial capital a separate score?
Most failed launches are not killed by bad products — they are killed by running out of cash before reaching organic rank. The capital score checks if your order size + launch PPC budget is realistic.
How often should I re-run the analysis?
Re-run any time competitor data shifts meaningfully — typically every 30–60 days for products you are tracking, and again before placing a re-order.
Does the tool consider patents or IP risk?
Not automatically. Always run a USPTO and Amazon Brand Registry search before sourcing. This is the single most common avoidable launch killer.
What is a "differentiator" and why does it matter?
A clear product improvement (better material, bundled accessory, redesigned form factor) that lets you justify a higher price and break the commodity race to the bottom.
Why do you not show estimated profit per unit at the top?
Unit profit is meaningless without volume context. The engine shows projected monthly net profit in the Capital section instead.
Should I trust an ENTER verdict blindly?
No tool replaces human judgment. ENTER means the quantitative signals are favorable. You still need to validate sourcing, IP, and your own operational capacity.
What if I disagree with the verdict?
Read the Explain section. The engine shows exactly which factors drove the decision. If you have a strategic advantage the model cannot see (existing audience, proprietary supply), weight that yourself.
Is my data stored or sent anywhere?
No. All calculations run in your browser. Nothing is uploaded, logged, or saved.
Why is the average rating of competitors a competition signal?
A 4.5+ category means buyers expect excellence. Launching a 4.0-rated product into a 4.6-rated category leads to fast organic decline.
How does the engine handle private label vs reselling?
It is optimized for private label. Resellers should weigh Buy Box share and gating risk separately.
Can I export the results?
Use your browser's print function — the layout is print-optimized. A PDF export feature is on the roadmap.
What is the difference between "DIFFICULT" and "AVOID"?
DIFFICULT means the niche is winnable with a strong differentiator, deep pockets, or both. AVOID means even an experienced seller would likely lose money.
Does the tool factor in returns and refund rates?
Indirectly through the margin buffer. Apparel, electronics, and supplements should manually subtract an extra 10–20% return rate.
Is this free forever?
The core decision engine will remain free. Future advanced features (saved analyses, watchlists, alerts) may be paid.
How was the weighting model calibrated?
It started from interviews with 40+ 7-figure Amazon sellers and is refined against publicly available launch case studies. Weights are reviewed quarterly.
Why don't you show keyword research inside the tool?
Because keyword tools are already a commodity. The market gap is decision-making, not data retrieval. Bring your keywords in.
Can I use this for Amazon Handmade or KDP?
No — those marketplaces have fundamentally different economics. This tool targets private-label FBA.
What if the top sellers have hidden their revenue?
Use Helium 10's X-Ray estimate or Jungle Scout's Sales Estimator as your best proxy. The engine is tolerant of ±20% revenue noise.
Methodology, Limitations & Transparency
Who built this: A working group of private-label Amazon sellers and ex-agency consultants with combined experience launching 200+ ASINs across US, UK, CA, and AU marketplaces.
What this is: A decision-support model. It compresses the analysis an experienced consultant would do in 30 minutes into 30 seconds.
What this is not: A guarantee, an Amazon API replacement, or a substitute for sourcing due diligence, IP checks, and cash-flow planning.
Data sources: You provide the inputs. The engine never connects to Amazon. Calculations run client-side in your browser.
Disclaimer: Past launch patterns do not guarantee future results. Always validate with small test orders before committing to large inventory.