Leverage search queries and historical data for a faster discovery experience
Leverage sophisticated search to extract facets from the keywords entered in the search query and the intent of the user. Facet interpreter pre-selects the most relevant facets for the users based on this information to help them reach relevant results faster.
Provide a better search experience to your users by helping them avoid reselecting pre-defined facets every time they conduct a new search. For example, a user selects a number of facets to refine the search results. Later on, when he/she decides to conduct another search, the facets will remain selected.
Surpass user expectations by personalizing the user experience with auto facets that automatically select the most relevant facets based on the user history and search trends.
Nested facets divide the existing facets into relevant sub-categories to help you filter down to the relevant result. Also, if the admin missed out on a particular classification, the search solution is smart enough to add the nested category when results are derived from it.
Although SearchUnify can process unstructured data to create relevant facet types and categories, the admin also has the ability to define, re-order, and merge facets to better tailor the user experience. Similarly, end-users have complete autonomy over their interface as they can decide which category of facets they want to see.
Leverage search analytics to gain insights into which facets are mostly used by your users and understand what type of content is being used by them more frequently.
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