Market discovery

Explore a category with the source context intact.

Organise an agreed category or keyword sample to explore product styles, specifications and assortment differences. Keep the selection method visible so your team understands what the dataset can support.

THE BUYING QUESTION

Which product patterns appear in our chosen category, and what should we investigate further?

A useful discovery dataset records how listings were selected and which attributes were visible. It gives your team research leads without presenting a partial sample as the whole market.

Keep the fields that change the decision.

These are candidate field groups. Availability, definitions and permitted coverage are agreed after reviewing representative listings.

Selection and coverage

Platform, agreed category or keyword, selection method and observation date. Define which listings, locations or search conditions the sample includes.

Product patterns

Titles, materials, dimensions, styles and visible variant options. Keep original attributes and agree how comparable categories are grouped.

Listing and condition context

Source ID, URL, displayed currency and price where available. For resale research, retain stated condition and treat one-off listings separately.

What one structured record could look like.

JSONMarket discovery
{
  "sample": true,
  "platform": "taobao",
  "source_id": "DEMO-MARKET-DISCOVERY-001",
  "source_url": null,
  "observed_at": null,
  "product_title": "Foldable storage basket",
  "attributes": "Fabric / medium",
  "displayed_price": 28,
  "currency": "CNY",
  "selection_scope": "Agreed category sample; not representative of the whole market",
  "market_share": null,
  "research_note": "Explore attributes; validate demand separately"
}
Fictional example for structure only. IDs, descriptions and numbers are invented. A null source URL or observation date means no listing was collected. This is not a quote, a live result or an API response.

Start with sources that fit this question.

These suggestions describe research fit. They do not guarantee access, field coverage or suitability for every category.

FAQ

Questions about this use case.

Does the sample measure market size or demand?

A listing sample describes the agreed selection. It does not establish total market size, sales, demand or market share. Those questions require suitable additional evidence and research methods.

Can categories from different platforms be compared directly?

Category trees, search conditions and listing units differ. Agree a grouping rule and keep the original category labels so the limits of the comparison remain visible.

Will you find every listing or predict the next trend?

Access and coverage vary, so completeness and trend predictions are not guaranteed. Start with a defined sample and use its gaps to decide whether a broader project is useful.

PANDABUYNOW / JETON EXPRESS

Bring the question. Define the useful output.

Send your category or keywords, intended market question and preferred platforms. Tell us how broad a sample you need and which attributes deserve attention.

Discuss this use case