First, the standard Bitrix search divides the sentence into parts and discards prepositions, conjunctions, and particles. Then it converts all words to their initial form and saves them in database tables. One table stores all initial forms of words, another — all texts, and a third one links a specific word with specific texts. N-grams are not built, so Bitrix cannot correct errors or search by part of a word or article, but it can distinguish word endings. It has a special setting for this — consider/not consider morphology. If it is taken into account, the search is by word forms, if not — by exact match.
Since all word forms can be included in the response kazakhstan telegram number database to the query, there will be many matches with the texts from the database and we will get many similar results in the search results. And this is negative for those who want quick and accurate answers.
There are other nuances that can negatively affect the conversion of a site with a default search. For example, a request with a spelling error or an incorrect number in the product code will have a zero response, as will the conversion from search to the transition to the product card.
To offset the shortcomings of full-text search, it is supplemented with faceted filtering, but this is a few more extra steps on the way to a purchase. Meanwhile, visitors who search directly on the site are more convertible than the rest of the audience. They already know what they want to buy.