Entering a new marketplace — a new platform, a new country, or both — is one of the highest-stakes decisions a brand makes. Commit to the wrong assortment or price point and you burn inventory and shelf credibility. "We think it'll sell" is not a plan a serious team takes to its board. The good news: the marketplace itself is the best research instrument you have. Its live listings tell you what sells, at what price, from whom — if you read them properly.
This guide covers how brands use marketplace data to de-risk entry, before committing a rupee, dollar or won to inventory.
On "sales data": almost no marketplace publishes real sales figures. Credible entry research doesn't fabricate them — it uses robust public proxies (review volume, rating velocity, seller counts, popularity rank) that reliably rank relative demand across products and segments. Beware any vendor who promises exact unit sales.
| Field Group | Fields |
|---|---|
| Taxonomy | Full category → subcategory path, position in hierarchy |
| Brand & Product | Brand, title, price, variants, images, attributes, seller |
| Demand proxies | Rating, review count, rating velocity, popularity/bestseller rank, seller count |
| Attribute trends | Parsed features / ingredients / claims driving the category |
| Pricing | Price bands per subcategory, discount norms, tier positioning |
A brand planning to launch on a marketplace it doesn't yet sell on — mapping the landscape to decide which SKUs, price points and pack sizes to enter with.
Manufacturers deciding what to source into a new geography (see how a Korean cosmetics firm used Kaspi.kz data for Kazakhstan entry) — the data drives the sourcing shortlist.
Sizing a category and competitive intensity before backing a brand's expansion or a market-entry thesis.
Evaluating which categories and marketplaces to add to a portfolio, using landscape and demand-proxy data.
A brand evaluating a new region needed a landscape read across multiple marketplaces before committing. Actowiz delivered a category-and-brand map with demand proxies across the target platforms, so the team could see structure, incumbents, price bands and growing segments — and choose where to enter, with what, at what price. The result was an entry decision grounded in the platform's own evidence rather than assumption.
"The data told us two of the categories we were excited about were saturated, and one we'd ignored was wide open. That reordered our whole launch plan."
— Head of Expansion, consumer brand (name withheld)
Tell us the platform(s), country and category. We'll scope an entry-research dataset — category map, brand landscape, demand proxies — and share a sample first.
Scope My Entry ResearchActowiz collects only publicly displayed catalogue, price and review information — no accounts, no personal data. Collection follows our responsible-scraping framework.
Amazon, Flipkart, Noon, Kaspi.kz, Trendyol, Shopee, Lazada, Takealot, MercadoLibre and most listing-based platforms globally.
We don't fabricate figures. We deliver robust public demand proxies (review counts, rating velocity, popularity rank, seller counts) that reliably rank relative demand for entry decisions.
Entry research is usually one-time; many brands convert to a recurring feed after launch to monitor their listings and competitors.
Yes — original-language fields are preserved with English alongside, so cross-border teams can analyse in one language.
Category maps, brand landscapes and demand signals for any marketplace, any country.
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