The data comes from Amazon.
The analysis is written by artificial intelligence.
Pick a category, any category, across six marketplaces. LaunchScope collects the keywords that make it up, the products that actually own it, and each brand's visibility share. Then it explains it to you the way an operator who knows that market would.
Finding the data is the easy part.
Volumes, sales, reviews: everyone gives you those. Then you're left staring at a sheet of numbers, wondering whether that market really has room, who actually owns it, and which product could get you in. That's where bad decisions get made, and raw numbers don't help. They often mislead you.
Amazon publishes sales at the product-family level, not per variant. Tools multiply that number by the price of a random color. On a real market we measured a 130% gap versus actual revenue.
In a typical market, one in two keywords contains a brand. If you don't separate them, you're analyzing someone else's brand awareness, not the demand you can actually capture. We recognize over three hundred thousand brands and isolate them.
A product with a hundred and sixty-five color variants looks like it sells a lot. Then you find out that competing means stocking a hundred and sixty-five SKUs. That's a different market from one with a single SKU, and you need to know it up front.
From category to decision, in one path.
Not a dashboard where you dig on your own. A precise reading order, from the broad picture down to the detail.
Browse the full Amazon category tree and pick the ones you're interested in. You see the cost before confirming, and categories already in the database cost nothing. The bigger the catalog gets, the less you spend.
Each category becomes a list of keywords with volume, competition and trend. We also tell you which ones are truly about that product and which belong to an adjacent market, so you know where to look first.
On the keywords you pick, we open Amazon's first page: who's selling, how much, at what price, with what margins, how long they've been listed. Plus visibility shares and a map of who ranks where.
The assistant reads everything in front of you and writes the analysis: where there's room, who's genuinely strong and who's just buying visibility, and which product would make sense to launch.
The assistant writes the analysis.
Not an automatic summary of the numbers you already have. It reads every metric in the market, the products on the first page and the visibility shares, and draws out the reasoning: what it means, what changes for you, where the room is. With the same eye as someone who's worked that market for years.
Denman dominates organic visibility with 30% share of voice. FRAMAR reaches 28%, but 34% of its visibility comes from sponsored ads against just 0.6% organic: it doesn't own the market, it's buying it. That's a position that depends on a budget and disappears the day it stops paying. Three products launched in the last eighteen months already make up 17% of volume, so the market accepts newcomers.
No made-up data: the assistant only answers based on what the market shows, and says so when the data isn't enough.
The metrics that decide a launch
Not the ones that fill a dashboard. We calculate these because we needed them ourselves, before you did.
We know whether Amazon sells that product directly. If the Vendor share is high, forget the Buy Box as a third-party seller: it's a market you enter as a supplier, not a seller. Different paths, with different timelines and requirements.
The share of searches that contain a brand name. If it's high, customers already know what they want and capturing generic traffic is hard. If it's low, the field is open.
How many variants the leaders carry. A single-SKU market and one that requires forty colors are two very different investments, even at the same volume. Better to know before you order.
We don't take the raw figure. We rebuild revenue by weighting the real prices observed across the product family, because the number you see elsewhere can be off by more than a hundred percent.
How much volume products launched in the last eighteen months are generating. It's the most honest measure of how attackable a market really is: if someone who arrived yesterday is already selling, so can you.
A map of who ranks where, for every keyword in the market. Not just the winners: you also see the keywords where none of the leaders is strong, which are the entry points.
We separate organic share from sponsored share. A brand holding thirty percent of the space through ads alone doesn't own the market: it's renting it, and it's far more attackable than it looks.
Not every keyword in a category describes that product. We classify them as core, adjacent or off-topic, so you can tell the heart of the market from the fringe without reading three hundred by hand.
When themes belonging to a neighboring market show up among the keywords, we flag them. That's often where the room is, and it's the thing you'd never have thought to look for.
Six marketplaces, the same method
A market that looks interesting in Italy is often just as interesting in Germany, with different competitors and different prices. You can check, instead of guessing.
Built by people who sell on Amazon every day.
LaunchScope was born inside BurstMarketplace, an agency managing over a hundred brands on Amazon, Walmart and TikTok Shop, with offices in the US, UK and UAE. We built it because no existing tool gave us what we actually needed: not more numbers, but a reading. We use it every day on our own clients, before selling it to you.
Pay for what you analyze. No subscription.
A category costs 3 credits, analyzing a keyword costs 5 credits, a question to the assistant costs 1 credit. Credits don't expire for twenty-four months, and categories already in the database cost nothing.
Two full categories are free. You can browse them entirely, run analyses and use the assistant without spending a single credit: they're there so you can see what you get before deciding.
What people ask us most
How do credits work+
Scanning a category costs 3 credits and gives you all its keywords with volume, competition and relevance. Digging into a single keyword costs 5 credits and gives you the twenty real products on the first page, with sales, prices, margins, visibility shares and positioning. A question to the assistant costs 1 credit. Categories already in the database cost nothing.
Is there a free trial+
Yes, and it's not a stripped-down version. Two categories are full and free: you can browse every keyword, run analyses, look at products, visibility shares, the positioning matrix, and ask the assistant questions. No credits spent, no card required.
Where does the data come from+
Directly from Amazon, through professional industry data sources, updated at the moment you run the scan. Sales and search volumes are estimates, as with any tool of this kind, but we recalculate revenue ourselves instead of reporting the raw figure.
How is it different from other tools+
Other tools give you the numbers. We recalculate the wrong ones, separate branded searches from generic ones, distinguish bought visibility from earned visibility, tell you what it costs to get in in terms of range, and in the end an assistant writes what it all means together. It's not an extra feature: it's the reason we built it.
Is it for launching a new product or monitoring my own+
It's for deciding what to launch. LaunchScope answers the question that comes first: does this market have room, and which product would make sense to enter with. Monitoring a product already in your catalog is a different thing.
Do I need to install anything+
No, it runs in the browser. No extension, no connection to your Amazon account.
How often is the data updated+
Scans run on demand, so you only pay for what you actually need. You can rerun the analysis of a category whenever you want, and we keep the history so you can compare how it's changed.
How long does it take+
A category usually takes under a minute, analyzing a keyword takes about forty seconds. We email you when it's ready, so you don't have to wait around.
Find out where it pays to launch.
See a real market already analyzed, or start with the two free categories: in a few minutes you'll know if this is the tool you were missing.