Three scenarios, one search engine
From a vertical shop to a multi-vendor marketplace: how setup, metrics and outcomes change with xfind.
Ecommerce
Single-brand and vertical shops
Traffic concentrates on a few hundred queries. Search must handle typos and commercial synonyms while pushing products with better margin and availability.
- Autocomplete with products, categories and popular queries
- Merchandising: pins, seasonal boosts and campaign rules
- Automatic redirects for brand and support queries
Benchmark KPIs
+34%
search conversion
−27%
zero-result searches
+18%
average order value
What the team sees
+34%
search conversion
−27%
zero-result searches
+18%
average order value
Tracked metrics
Large catalog
50,000+ SKUs, spare parts and B2B
Technical catalogs with codes, compatibility and variants. You need structured attribute search, deep filters and stable latency across millions of combinations.
- Search on codes, EAN, compatibility and technical attributes
- Dynamic facets generated from the catalog, never hardcoded
- Continuous incremental indexing with no downtime
Benchmark KPIs
18 ms
median p50 latency
2.4 M
indexed SKUs
−41%
search abandonment
What the team sees
18 ms
median p50 latency
2.4 M
indexed SKUs
−41%
search abandonment
Tracked metrics
Marketplace
Multi-vendor and multi-language
Several sellers on the same product, uneven data quality and fairness rules. xfind balances relevance, seller reputation and fulfilment availability.
- Multi-seller ranking with fairness and performance boosts
- Listing deduplication and attribute normalisation
- Per-language, per-market relevance with separate indices
Benchmark KPIs
+29%
GMV driven by search
×3
sellers visible on page one
99.98%
uptime
What the team sees
+29%
GMV driven by search
×3
sellers visible on page one
99.98%
uptime
Tracked metrics
Want an estimate on your catalog?
We review your current queries, zero-result rate and conversion, then show the expected impact of xfind.