Products
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Price change m/m
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Price up / price down
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Sellers
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Price index
| Category | Products | Change m/m | Index ( = 100) |
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Sign up to see sellers
- who has the most products in the category
- who's most often the cheapest seller
- who's pricier than the market and by how much
Accounts are free: just your e-mail and phone number, and you sign in with a link.
Your shop vs the market
- Your price and rank for every product
- competitor map and who's cheaper than you
- easy wins, clever moves, products to add, categories where you're too expensive
Accounts are free: just your e-mail and phone number, and you sign in with a link.
What Price Radar shows
What Price Radar is for — and what it isn’t
A bird's-eye view of the market. Price Radar shows what prices look like in Polish e-commerce on Google Shopping: who sells cheapest, how category prices change month to month, where your shop or brand stands against the competition and where the deals are. It's a tool for big-picture trends and strategic decisions: which categories you're too expensive in, who you really compete with and what's missing from your range.
Not a substitute for daily pricing. The data is monthly: for each seller and product we have one price per month — the last one observed. Changes within a month aren't visible (promotions lasting a few days, flash sales, competitors' day-to-day reactions). For ongoing monitoring and automatic repricing, use Dealavo's daily price monitoring; Price Radar tells you where to look, not what to do today at 2 p.m.
An observation, not a pricing recommendation. The numbers describe prices observed online. You decide your own prices; Price Radar is not meant for coordinating prices with other sellers or for imposing prices on distributors.
Data sources and update frequency
Source. Online shop offers on Google Shopping in Poland, collected at least once a month. A seller's monthly price is the last price we observed. Used and refurbished offers are excluded. Prices are in złoty as shown on Google Shopping (incl. VAT); shipping cost is tracked separately — in your account settings you can compare prices alone or prices including shipping.
History. Several months back (range: ); a new month is added once its data is collected. Products classified earlier keep their category; new products get one when the month is loaded.
What you can't see. Shops and products not listed on Google Shopping; offers available only in apps, on marketplaces outside Google Shopping or in physical stores; prices for logged-in users, in the cart or with a discount code.
Sellers, products and prices
Seller. A shop is its domain. Marketplaces (Allegro, Empik, Erli, Kaufland, eBay, Amazon, Temu) count as a single seller, together with their merchants — at the lowest price on the marketplace.
Product. A Google Shopping product page that groups offers from many shops. Offers priced far from the rest are checked by an AI model: if it’s a different variant, a bundle or an accessory, the offer is excluded.
Product price. Median of seller prices in the month. “Cheapest” = the lowest seller price.
Price index. Geometric mean of price changes for products present in both compared months (same product, same months). Implausible changes (more than twofold, or more than half when there's only one seller) are excluded as data errors. First month of data = 100.
Prices up / down. For each product, the median price change across sellers who listed it in both months; “up” = above +1%, “down” = below −1%, everything else is “no change”. A cheap shop dropping out doesn’t count as a price increase.
Your shop or your brand
Your rank among sellers. Your price rank among sellers of the same product: 1 = cheapest (a tie also counts as 1). Multiple domains of one shop count as a single seller.
My price index. Your prices vs the market median on the same products: 100 = on par with the market, 95 = 5% cheaper on average. “Index vs me” for a competitor: their prices vs yours on shared products.
Easy wins. You’re the cheapest, at least 3 sellers list the product, and the second price is more than 3% and 3 zł higher (and isn’t a crossed-out promo price) — you can raise your price and still be first. These are default thresholds — you can change them in your account settings.
Clever moves. You’re at most 2% and 10 zł above the cheapest offer — a small price cut puts you in first place. These are default thresholds — you can change them in your account settings.
Far down the ranking. You’re in the bottom half of the field with at least 6 sellers — worth rethinking the price or dropping the product.
What changed. Only events that changed your position since last month: you lost or gained 1st place, or someone undercut your price and you dropped in the ranking.
Shipping changes your position. Products where someone else wins once shipping cost is included than on price alone — or where you only win thanks to cheaper delivery.
Worth adding. Products from your subcategories (where you have at least 5 products) that you don't carry, but at least 3 of your 5 main competitors and at least 5 sellers on the market do; highest demand first.
Account settings. A fixed category scope narrows everything (including the alert) to your departments; hidden sellers are excluded from all comparisons. The monthly alert is e-mailed once a new month's data is loaded.
Categories and popularity
Categories. A multi-level category tree, like in online shops. Products with an Allegro product page get that page’s category; the rest are assigned by an AI model based on name, brand and description — occasionally it may pick a neighbouring branch.
Popularity. Number of buyers on Allegro over 30 days (from Bestseller Radar) when the product has an Allegro product page; for other products popularity is unknown, so they rank lower in lists sorted by demand.
For developers and AI assistants
API and MCP. The same data as in the dashboard, via REST (docs: /api/v1/docs) and as MCP tools, using the token from your account settings and the same settings (shop / brand, scope, hidden sellers). Text description for models: llms.txt.
How to read the numbers. Month =
YYYY-MM; prices in PLN; changes as a multiplier (1.03 = +3%); index 100 = market median. Frame insights as month-over-month trends, not as “today's” prices.Getting started
Not sure where to start? Amadeusz will walk you through every tab. Start tutorial.
Beta version. The entire Polish market on Google Shopping (approx. 2.3M products with a price this month, 22M seller prices), data: . Allegro demand data is being loaded in stages. Something not working or missing? Tell us what to improve →