AcademyGetting started: from zero to your first productWhat makes a good first Amazon product
Getting started: from zero to your first product

What makes a good first Amazon product

Lesson 4/12 ⏱ ~11 Min. By Enes Kurt Updated August 2026
What you'll take away

Product choice decides 80 % of your success — and it's where beginners most often decide from the gut. This lesson gives you the filter every idea must pass BEFORE you invest time in data analysis. The data comes in lesson 5 — here we build the grid.

1The right mindset: problems beat products

You're not looking for a product YOU like. You're looking for existing demand that is served badly: a product that already sells, whose buyers complain in the reviews — too small, breaks, missing instructions, ugly color. Your opportunity is never “invent a new product” but “serve proven demand better”. On Amazon you don't create markets; you win shelf space in existing ones.

In plain terms

Picture a street full of pizzerias, all busy — yet everywhere guests complain about cold pizza and slow service. You don't open the town's first sushi restaurant (demand uncertain); you open the pizzeria with hot pizza and fast service (demand proven, weakness known). That's exactly what product research on Amazon is.

2The hard criteria for a first product

1. Price band: €15–40

  • Below ~€15: the FBA fulfilment fee is a fixed amount — on a €9 product it plus the referral fee eats almost everything. Nothing is left for PPC.
  • Above ~€40–50: more capital tied up per unit, higher purchase barrier (customers compare longer, need more trust/reviews).
  • The €15–40 sweet spot leaves margin for ads AND keeps capital needs sane.
Example

Two candidates, assuming a fixed FBA fulfilment fee of about €4 for both: a bottle opener at €9.99 loses €1.50 referral fee (15 %), the FBA fee and €2 product cost — less than €2.50 is left for ads, returns and profit. The AURELO spice grinder set at €24.99: after €3.75 referral fee, the FBA fee and €4.50 product cost, about €12.70 of room remains — five times the air with the same fee logic.

2. Small and light

Target: fits a shoebox, under 1–2 kg. Every size tier raises FBA fee, freight and storage. A product where 2,000 units fit one pallet forgives mistakes — one that ships palletized per piece doesn't.

3. Simple and sturdy

  • No electronics in the first product (defects, returns, WEEE registration, CE effort).
  • No size or fit variants (apparel sizes are a returns machine — size charts and fit feedback are a skill of their own).
  • Break-proof (no glass/ceramics first — transit damage becomes 1-star reviews).
  • Self-explanatory: the benefit must be clear from one main image.

4. Low liability and certification risk

Avoid at the start: anything for babies and children (toy norm EN 71, choking risks), skin-contact chemistry (cosmetics), food and supplements, anything near medical devices, batteries (transport rules + registration). Food-contact items (kitchen) are doable but require LFGB test reports in Germany — fine as a second product, unnecessary weight for the learning project. Details on testing and marking follow in the import lesson.

5. Year-round demand, no hype

Seasonal goods are for experienced sellers with capital buffers — as a first product you risk your learning curve landing in the off-season. Trend products (this month's TikTok gadget) are a lottery: by the time your goods arrive, the hype is over. You want boring, stable demand.

6. Legally free

No patented mechanisms, no protected designs, no trademark similarity. Quick test: is the product offered by MANY manufacturers on Alibaba and many brands on Amazon? Then it's probably free. Exactly ONE seller with a strikingly unique design? Walk away or get it checked properly.

7. Differentiable

There must be a visible improvement lever: better material, a more sensible set, missing accessories, better instructions, nicer design. “Same product, different logo” no longer works in 2026 — niches are too crowded. How to mine improvement levers from reviews systematically comes in lesson 6.

3The no-go list (for the first product)
CategoryWhy not
Electronics & anything with a batterydefect rate, returns, CE/WEEE/battery duties, transport restrictions
Toys & baby productsEN 71 / strict norms, liability risk, Amazon document requirements
Cosmetics, food, supplementsapprovals, labeling, batch duties, high entry barriers
Apparel with fit (clothing, shoes)size returns, many variants = fragmented capital
Glass & very fragile itemstransit damage → review killer
Seasonal and trend goodstiming risk swallows the learning curve
Very large/heavy productsfreight, FBA and storage costs, expensive wrong orders

Almost everything on this list can work later — with experience, capital and processes. As a first product it just stacks risks.

Example

A Bluetooth grill thermometer for €29.99 sounds tempting: good price band, small, light, clear benefit. It still gets cut: electronics with a battery means defect rates, returns, CE/WEEE/battery duties and transport restrictions — the entire first row of the no-go list. The AURELO spice grinder set at €24.99 passes the same check with ease: no electronics, no certification minefield, year-round stable demand.

4Where the ideas come from
  • Amazon itself: best-seller lists, “Movers & Shakers”, “customers also bought” — not to copy the no. 1, but to map niches. Note subcategories, not single products.
  • Your daily life: every “why doesn't this exist in better?” is a candidate.
  • Alibaba browsing: what manufacturers offer at scale has proven global demand — then check what the niche looks like on amazon.de.
  • Reviews of other products: 3-star reviews of big sellers are free product-development briefings.

Collect 20–30 candidates in a list before you evaluate. Scoring them against data (search volume, competition, margin) is the job of the next two lessons — good researchers separate collecting and judging strictly.

Most common mistake

Buying in love: a product appeals personally, so it gets ordered — criteria, demand and margin get rationalized afterwards. Flip it and it becomes a business: first the grid, then the candidates, then the data. If a product fails three criteria, it's out — no matter how much you like it.

Product quick check (every idea must pass all 8)
  • Realistic selling price between €15 and €40.
  • Small and light (shoebox test, under ~2 kg).
  • No electronics, no fit variants, not fragile.
  • No baby/toy/cosmetics/food minefield.
  • Year-round stable demand — no trend, no season.
  • Many manufacturers and brands offer it (no patent/design trap).
  • At least one concrete improvement lever visible.
  • Gut feeling is NOT the deciding argument.
5Expert insight: The economics of returns as a hard criterion

The no-go list treats returns qualitatively (fit, glass). Advanced sellers put numbers on them — because the return rate quietly decides how much of your margin is actually left at the end of the month. The mechanics: on a customer return you refund the purchase price; Amazon credits most of the 15 % referral fee back to you, but the FBA fulfilment fee of the outbound shipment is not refunded — it is lost on every single return. On top of that, a share of returns comes back damaged or opened and cannot be resold; for those units you additionally lose the purchase cost plus a small disposal or removal fee. In apparel categories Amazon also charges a separate returns processing fee — one more reason fit-dependent clothing sits on the no-go list.

This leads to the formula no beginner tutorial covers, yet it sharpens every product decision: effective gross profit per order = (1 − rate) × gross profit − rate × loss per return. Estimate the loss per return as the FBA fee plus the unsellable share × (purchase cost + disposal).

Example

AURELO spice grinder set, numbers from this lesson: about €12.70 gross profit before ads. Assumptions: €4.00 FBA fee, 30 % of returns unsellable, €0.25 disposal — loss per return roughly 4.00 + 0.3 × 4.75 ≈ €5.40. At a 4 % return rate (an empirical value for sturdy kitchen items): 0.96 × 12.70 − 0.04 × 5.40 ≈ €11.98 per order — about 6 % less. The same product at an 18 % rate (fit-apparel territory): 0.82 × 12.70 − 0.18 × 5.40 ≈ €9.44 — a good quarter of the gross profit evaporates without price or purchase cost changing at all.

The time-lag trap

Returns arrive with a delay of two to six weeks. In the first launch weeks your margin therefore looks systematically better than it is — scaling ads or reordering on those numbers means calculating with fantasy figures. Judge the real rate only after 30–45 days of sales history, and calculate conservatively with the category's empirical value until then.

How to use this in your criteria grid:

  • A fourth traffic-light column: next to demand, competition and margin, every candidate gets an estimated return rate — from category experience and the return drivers in the product design: fit, fragility, need for explanation, gift share.
  • Expected value instead of gut feeling: two candidates with equal gross profit are not equally good if one carries a 3 % and the other a 12 % rate — convert both to effective gross profit before comparing.
  • Anchor the ad budget to the net number: you pay for clicks on every order, including the ones returned later. Your maximum ad spend per sale must be anchored to the effective gross profit, never the gross value.
Continue reading for free

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Still ahead in this lesson:
  • 2The hard criteria for a first product
  • 3The no-go list (for the first product)
  • 4Where the ideas come from
  • 5Expert insight: The economics of returns as a hard criterion
  • Quiz: 6 questions with instant feedback

Check yourself

6 quick questions — one at a time, instant feedback. With a free account your progress is saved.

Why is a selling price below ~€15 problematic for a first product?
The FBA fee is a fixed amount per unit. At low prices, fees and product cost leave no PPC budget — and without PPC no launch.
What is the core idea of good product research?
You don't create markets on Amazon. You find niches with existing demand and visible weaknesses — and close the gap.
Which product fits the first-product criteria best?
Small, light, sturdy, year-round, no electronics, no size variants, good price band. Headphones (electronics/battery), seasonal goods and fit apparel each fail hard criteria.
How do you spot a possible patent/design trap?
If many manufacturers and brands offer the same product, it's probably free. A single seller with a one-of-a-kind design suggests IP — check it or move on.
Why are trend products a lottery for beginners?
Months pass between ordering and selling. Trends flip faster — then you sit on goods nobody searches for anymore.
How many product candidates should you collect before evaluating?
With only one idea you'll rationalize every weakness. A list of 20–30 makes the data check of the next lessons a real comparison.

Frequently asked

May I pick a product I'm personally interested in?

Gladly — interest helps with persistence and understanding the audience. It just must never be the deciding criterion: first the idea has to pass all eight hard criteria and the data check, then personal interest is the perfect bonus.

Are saturated niches automatically off-limits?

No — “saturated” often just means: many weak sellers. What matters is the structure (lessons 5 and 6): if young listings reach the top 10 and the incumbents show visible weaknesses in their reviews, there's room. Off-limits are niches with price wars and review fortresses.

How much starting capital should I plan for the first product?

Realistically €3,000–5,000 for the first order, samples, freight, listing and launch ads (details in lessons 1 and 7). More important than the sum: the reorder must stay fundable if the product takes off.

← Previous lessonSetting up your Amazon seller account — without the verification loop Next lesson →Product research: measuring demand and competition for real
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Enes Kurt
Amazon seller for over ten years · founder of Listimo

Everything in this academy comes from day-to-day selling practice — the same playbook behind Listimo, the tool that turns product photos into complete Amazon listings.