Improve search relevance without making logic unnecessarily complex.
Relevance arises from multiple signals: what the visitor types, what product data describes and how retrieval and ranking combine those signals.
Exact matches
Product names, brands, SKUs and model codes must respond predictably. Protect strong exact signals before adding wider matching.
Exact matches →Product data
Missing attributes, inconsistent categories, and weak titles limit any ranking strategy.
Product data →Lexical + semantic
Exact words give precision; semantic signals help with descriptive questions and deviating customer language.
Hybrid retrieval →Ranking rules
Stock, popularity and commercial priorities can be taken into account, but should not displace strong intention matches.
Ranking signals →Evaluation
Combine CTR, zero-result searches, conversion and manual rating of key queries.
Relevance framework →Iterate
Work with hypotheses, query sets, and regression tests so that improvements don’t cause new problems elsewhere.
Regression tests →