Search quality
Make discovery feel useful and fair by showing why items rank, where buyer demand is building, and when results need review.
Ranking Reasons
- Results can explain why an item appears: title match, category fit, price range, proof quality, seller standing, pickup proximity, or auction timing.
- Buyer filters should keep mode, condition, price, distance, handoff, seller rating, item proof, and ending time close to the result list.
- Ranking labels make search feel trustworthy instead of random.
Saved-Search Demand
- Saved searches show sellers where buyers are waiting, which categories are heating up, and which price bands are active.
- Seller dashboards can turn demand into listing prompts, price guidance, and timed-drop candidates.
- Buyer alerts should stay tied to a clear query, category, price band, distance, and handoff choice.
Category Handoff
- Ambiguous searches should lead buyers into strong category paths such as cards, GPUs, sneakers, retro games, art, books, automotive, garden, and home.
- Category pages should carry proof requirements, item examples, search refinements, and buyer actions from the query.
- Local pickup and hub-ready results need clear service area and pickup-window cues.
Empty-Result Recovery
- When no close match appears, buyers should see nearby categories, saved-search setup, sold comps, broadened filters, and seller request paths.
- Search should separate no inventory, too many filters, outside service area, and restricted item cases.
- Operators need to see repeated empty-result queries as supply gaps.
Placement Labels
- Promoted placement, seller boosts, local pickup priority, hub-ready proof, and timed-drop features need labels buyers can understand.
- Seller growth tools should show why a listing earned or lost visibility.
- Paid placement should stay separated from organic demand and quality signals in reports.
Quality Review
- Operators review result diversity, restricted item leakage, stale listings, duplicate titles, weak proof, and seller concentration.
- Search health should track query success, saved-search creation, result clicks, offers, bids, cart starts, and report outcomes.
- Every tuning change needs an owner, reason, category scope, and rollback note.
Search Discovery
Phrase search, brand and model filters, radius, seller quality, condition proof, and saved alerts.
Search Results
Refinement chips, auction and buy-now states, pickup-ready results, and saved-search cues.
Catalog Quality
Category fit, required attributes, variants, duplicate checks, media proof, and repair.
Search Indexing
Noindex safety, future public pages, private route rules, structured data, and sitemap scope.
Saved Search
Fresh matches, price drops, ending alerts, and demand signals.
Placement Review
Buyer labels, eligibility rules, seller budgets, and reporting separation.
Seller Growth
Listing quality prompts, saved-search demand, timed-drop candidates, and fair visibility rules.
Marketplace Analytics
Demand, liquidity, category health, hub performance, support load, and finance signals.
Current demo state
Search quality is represented through guided discovery controls.
The demo shows ranking reasons, saved-search demand, category handoff, empty-result recovery, placement labels, and operator review using the current walkthrough inventory.
Future platform state
Live discovery needs measurement and review controls.
Launch needs query logs, ranking rules, saved-search storage, alert delivery, placement reporting, category supply tracking, review history, and rollback controls.
