Product research: measuring demand and competition for real
- You judge demand via search volume and know which niche size fits a first product.
- You estimate sales via the best-seller rank — and know the limits of that estimate.
- You read competitive strength from review counts and listing quality.
- You have a 15-minute workflow that boils your candidate list down to a shortlist.
Now your 20–30 candidates from lesson 4 get numbers. Three questions decide every niche: How many people search for it? (demand) — Who serves them, and how strongly? (competition) — What's left per unit? (margin, covered in lesson 7). This lesson answers the first two.
1Demand: understanding search volume
Almost every Amazon purchase starts with a search. The monthly search volume of a niche (all relevant search terms combined) is therefore the most honest demand currency. Where the numbers come from:
- Amazon's search suggestions (free): type your term into Amazon's search bar. The suggestions are real queries sorted by frequency — they show WHAT people search, not how often.
- Research tools (paid): tools like Helium 10 or Jungle Scout estimate volume per term. Great for mass screening — but they're estimates, not measurements.
- Amazon Brand Analytics (free, but Brand Registry required): real rank data from Amazon itself — for later, once your brand is registered.
To give you a feel for magnitudes, here is real, measured niche volume from amazon.de from our monthly market survey (rounded):
| Niche | Amazon searches / month (amazon.de) | Size class |
|---|---|---|
| kopfhörer | ≈ 679,000 | very high — fierce competition |
| smartwatch | ≈ 422,000 | very high — fierce competition |
| handyhülle | ≈ 286,000 | very high — fierce competition |
| kalender | ≈ 161,000 | high |
| hundebett | ≈ 136,000 | high |
| katzenspielzeug | ≈ 115,000 | high |
| tee | ≈ 70,000 | high |
| etiketten | ≈ 50,000 | medium — often the sweet spot |
| sonnencreme | ≈ 38,000 | medium — often the sweet spot |
| augencreme | ≈ 20,000 | medium — often the sweet spot |
| deodorant | ≈ 8,000 | small / niche |
| gesichtsreiniger | ≈ 2,000 | small / niche |
Measured Amazon search impressions, rounded — data set 09/2026, refreshed monthly. The full data (incl. the keyword level) powers the visibility forecast inside Listimo.
How to read it:
- Very large niches (200,000+): huge demand, but PPC click prices and the incumbents' review fortresses make entry expensive. Not for product no. 1.
- Medium niches (15,000–60,000): the beginner sweet spot — enough demand for 10–20 sales a day, and often sellers with weak listings.
- Small niches (below ~10,000): workable with very good margin, but little headroom. Good as an add-on product, risky as your only leg.
Niche volume for the AURELO spice grinder set (our example product): “spice grinder” sits at around 10,000 monthly searches, “electric pepper mill” at 6,000, “salt and pepper mill set” at 5,000, smaller variants at 4,000 combined — a niche volume of roughly 25,000. A medium niche right in the beginner sweet spot. Always count the sum of all relevant terms, not just the main one — otherwise you'll underestimate almost every niche.
2Estimating sales: the best-seller rank (BSR)
Every product carries a best-seller rank in its main category — the lower, the more sales. BSR is not an absolute measurement, but a usable comparison value within one category. In practice:
- Open the top 10 search results of your niche and note their BSRs (in the product details).
- Tools translate BSR into estimated monthly sales. Without a tool, the relation helps: rank 2,000 in a big category sells MANY units a day; rank 150,000 a few per week.
- What matters is the distribution: do the top 3 take almost all revenue (winner-takes-all) — or does it spread across 10–15 products? Spread niches are beginner-friendly: you don't need rank 1 to earn.
The best-seller rank works like the music charts: no. 5 sells more than no. 50 — but the chart position alone doesn't tell you how many albums that is. And a no. 10 in the huge album charts means far more sales than a no. 10 in a small specialty list. Same with BSR: compare only within the same category, never across categories.
3Competition: reading reviews and listing quality
Review counts of the top 10
- Average below ~300 reviews: very doable — with a better product and a clean launch you can compete within months.
- Several products with 2,000+ reviews: customers have established default choices. Not impossible, but your launch gets slow and expensive.
- A mix (two giants, then many small sellers at 50–300): often ideal — the giants prove demand, the small ones prove newcomers get in.
Listing quality
Click through the top 10 and grade coldly: professional main images? Images 2–7 present and meaningful? Structured titles or keyword garbage? A+ content? If several top sellers have weak listings, that's your gap: the same product, better presented, beats better products presented badly. (Filling that gap is the entire Listing track — and exactly the work Listimo automates.)
4The 15-minute check per candidate
- Minutes 1–3: main term + 3 variants into Amazon search, note the suggestions. Name the niche.
- Minutes 4–7: open the top 10: prices (does my €15–40 band fit?), BSRs, review counts into the sheet.
- Minutes 8–11: grade listing quality (1–5), note visible weaknesses.
- Minutes 12–15: rough margin estimate: find a comparable product's Alibaba price; rule of thumb: purchase price below 25–30 % of the net selling price. Details in lesson 7.
Score every candidate with a traffic light (green/yellow/red) across demand, competition, margin. Only candidates with at least two greens and no red make the shortlist — which you'll stress-test in lesson 6.
Here's the finished check for the AURELO spice grinder set: demand around 25,000 monthly searches — green. Competition: top 10 averaging 260 reviews, two incumbents above 2,000, three listings with visibly weak images — green. Margin: comparable sets from €4.50 on Alibaba against a €24.99 selling price — roughly 21 % of the net selling price (€21.00), safely below the 25–30 % rule of thumb — green. Three greens: a clear shortlist candidate.
All research tools estimate search volume and sales from ranking movements — values can differ by 30–50 % between tools. Use them to COMPARE niches, not as exact business-plan numbers. And never order based on a single month: check that demand is stable across 12 months (seasonality curves!).
Analysis paralysis: sinking weeks into tools, comparing 14 metrics, never deciding. Truth: past a solid data check, more analysis barely improves the decision — patterns, unit economics and validation (lessons 6–8) do. Set a limit: two weeks max from candidate list to shortlist.
- Every candidate got its 15-minute data check.
- Niche volume classified (small / medium / large).
- BSRs and review counts of the top 10 noted.
- Revenue distribution checked: winner-takes-all or spread?
- Listing quality graded, competitor weaknesses noted.
- Traffic lights set, shortlist of 3–5 niches ready.
- Seasonality checked across 12 months.
5Expert insight: BSR mechanics, variant traps and revenue concentration
Comparing niches by a single-day BSR and raw review counts produces three systematic errors. Here is the mechanic behind each — and how to use it for sharper decisions.
1. BSR is time-weighted. Amazon recalculates the rank several times a day and weights the most recent sales heaviest. A single deal day therefore catapults a product upward for days, an out-of-stock phase crashes it — neither says anything about the normal sales rate. Consequence: never judge a single reading; take several samples across 2–3 weeks (or a tool's BSR history) and use the median, not the average — the median is immune to deal outliers.
2. Reviews belong to the variant family, not the product. An incumbent's 2,000+ reviews may be summed across ten color and size variants — or date from a time when a completely different product was sold under the same ASIN (merged listings are a popular grey-area tactic). The check takes two minutes: sort the reviews by oldest. If they describe a different product, the review fortress is borrowed — and the seller weaker than they look.
3. Measure concentration instead of guessing. “Winner-takes-all or spread?” can be turned into one number: the top 3's share of the estimated sales of the top 10 (CR3).
Niche A, estimated monthly sales of the top 10: 900, 750, 600, 400, 350, 300, 250, 200, 150, 100 — 4,000 units combined. CR3 = 2,250 / 4,000 = 56 %. Niche B: 3,000, 650, 350, then seven products with 800 combined — 4,800 total, CR3 = 83 %. Both niches can share the same search volume; only in A does rank 6 still earn money. Rule of thumb (empirical): below ~60 % beginner-friendly spread, above ~75 % winner-takes-all — enter only with an exceptionally strong differentiation lever.
Review velocity as a second opinion: count the reviews of the last three months (filter by date) and reckon roughly 20–40 sales per review (an empirical value for organic review rates). A competitor with 12 new reviews in three months therefore sits at around 80–160 sales a month. If the tool estimate deviates by more than a factor of three, trust neither number — check for Vine surges, deals or freshly merged variants.
These three checks cost an extra quarter of an hour per niche — and prevent the two most expensive research errors: fearing a review fortress that is in truth borrowed, and entering a niche whose revenue hangs 80 % on a single unassailable listing.
The first lessons of every track are open to everyone. From here on you just need a free account — no subscription, no costs.
- 2Estimating sales: the best-seller rank (BSR)
- 3Competition: reading reviews and listing quality
- 4The 15-minute check per candidate
- 5Expert insight: BSR mechanics, variant traps and revenue concentration
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Frequently asked
Do I absolutely need a paid research tool?
Not necessarily for the first product: Amazon's search suggestions, BSR comparisons and review counts are free. A tool speeds up mass screening considerably — many sellers subscribe for a single month, do the research in one focused sprint and cancel again.
How reliable are BSR-based sales estimates?
Usable as a magnitude, not as an exact figure: BSR fluctuates daily and distorts special effects (deals, season). Use estimates to compare products within the same category and always check the 30-day trend instead of a single day.
What if my niche doesn't appear in any data source?
Very small or very new niches fly under the tools' radar. Then the free signals count: are there search suggestions? Do the top products visibly sell (BSR, review growth)? Without any demand signal, be careful — you want to serve existing demand, not invent it.
Listimo turns one product photo into the complete Amazon listing — up to 10 images, title, bullet points, description and A+ content. All copy and 5 images are free with the 180 welcome credits.
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.