Buyer search-term research
Per marketplace, not generic.
Marketplace keyword research reviews buyer language and the search fields supported by the selected platform. Relevant terms are mapped to titles, attributes, descriptions and backend fields where available, using marketplace-specific research.
Per marketplace, not generic.
What's working for others in your category.
Search fields specific to the platform.
Where the platform supports it.
Ready for the copywriting stage.
Structured and ready to use.
Marketplace search suggestion data, Helium 10 / similar marketplace keyword tools (where applicable), competitor listing analysis.
Keyword research examines the product type, attributes and use cases expressed in buyer searches. Specific phrases such as "waterproof hiking backpack 40L" can help identify relevant product details to reflect in the listing.
Sellers whose listings use internal product terms instead of how buyers actually search — titles and attributes that make sense internally but don't match real search behavior.
A listing that already has a validated, per-platform keyword set just needs the copywriting stage, not another research pass.
Yes — different search behavior, different ranking systems, and different fields (titles, bullets, backend search terms) to optimize.
Yes — Daraz, Amazon, and other platforms have different search behavior and shouldn't use identical keyword sets.
Yes, but each platform gets its own research pass — buyers on different marketplaces don't search the same way, so the output isn't a single shared list.