Most sellers only think about keyword research after they already have a product, purely to optimize a title and bullet points. Used earlier, marketplace search-term data is also a genuine product-discovery tool: it shows you what buyers are actually typing into a marketplace's search bar, which is a more direct demand signal than general web search for that specific channel.

Why marketplace search data beats general SEO tools for this purpose

General web SEO keyword tools are built around Google search behavior, which reflects informational and navigational intent as much as purchase intent. Marketplace search bars are almost pure purchase intent — someone typing into Amazon's or Etsy's search bar is, in the overwhelming majority of cases, ready to buy something close to what they typed. That makes marketplace-native search-term tools (including a marketplace's own advertising console, which often exposes search-term reports even to sellers not yet running ads) a sharper signal for product discovery specifically.

A process for finding gaps

  1. Start broad, then look at the long tail. Search a broad category term and note the specific modifiers that show up in autocomplete and in "related searches" — these are usually specific attributes buyers care about (size, material, use case, compatibility).
  2. Check search volume against listing depth. For each long-tail variant, look at how many listings actually target that specific term well versus how many just tag it loosely onto a broader listing. A long-tail term with real volume and few dedicated listings is a strong discovery signal.
  3. Cross-reference with "customers also searched" or autocomplete suggestions. These surface adjacent terms real buyers use that you might not have thought to search yourself.
  4. Look at seasonality within the keyword data, not just a single snapshot — a term that spikes in a specific month may point to a seasonal opportunity (see Seasonal Product Opportunities) rather than a steady-state gap.

Worked example

Say a broad search for a category term returns strong volume, but when you drill into modifier terms, one specific variant (a size, a material, or a "for [specific use case]" modifier) shows meaningful search volume with very few listings that actually target it directly in their title and bullets. That's a concrete, low-competition entry point — you're not trying to out-rank the whole category, just to become the best answer for that specific search term, then expand from there once you have reviews and sales history.

Platform differences worth knowing

  • Amazon — search-term data is available in more depth once you're running ads (via the advertising console's search term reports), but general keyword-tool estimates are useful pre-launch for directional volume.
  • Walmart — search behavior skews slightly more toward branded and value-oriented terms; check whether a term performs differently there than on Amazon before assuming your Amazon keyword research transfers directly.
  • Etsy — search is more attribute- and style-driven (materials, occasions, aesthetic descriptors) than pure product-category terms; Etsy's own search-term suggestions inside the seller dashboard are a particularly direct signal for this platform.

Mistakes to avoid

  • Relying only on general web SEO tools and assuming the volume transfers directly to marketplace search behavior.
  • Chasing a single high-volume broad term instead of finding a specific long-tail gap you can actually own early.
  • Ignoring seasonality in the keyword data and mistaking a seasonal spike for a durable, steady-state opportunity.

FAQ

Do I need to be running ads to see useful search-term data? No — general keyword-research tools and a marketplace's own autocomplete/related-search suggestions give directional signal even before you're advertising. Ad console search-term reports add more precision once you have live campaigns.

How is this different from keyword research for listing optimization? The goal here is discovery — finding a product gap before you commit to sourcing. Listing optimization (see Listings & Catalog) uses similar tools but applies them after you already have a product, to decide what to put in your title and bullets.