Endeca alternative- Expertrec

Overcome endeca limitations. Expertrec site search is a great endeca alternative and has helped endeca customers provide a better user experience.

More relevant search results

Intuitive automatic suggestions on the search box

Ability to handle spelling errors and variances out-of-the-box

Dynamic and relevant facets and filters for search

Superior analytics and ability to tag conversions to site search

Endeca alternative- Expertrec

Move from Endeca to expertrec

  1. More relevant search results
  2. Intuitive automatic suggestions on the search box
  3. Ability to handle spelling errors and variances out-of-the-box
  4. Dynamic and relevant facets and filters for search
  5. Superior analytics and ability to tag conversions to site search
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Instant search  Beautiful search autocomplete and search results pages . Recent searches, trending searches to help improve conversion rates.

Search Relevance  Fine tune search relevance, adjust search weights and add custom rules. Improve  conversion rates on autopilot mode.

Filters and facets to help your users find the right product. Pin point product discovery tools to help users find the right product in the least time.

Merchandizing  Run better marketing campaigns by promoting the right products for the best performing search queries

Personalized search results Make sure you surface the right product for the right user with our AI based ranking technology. 

Super fast    Search results at sub-ms server side response times. Wow your customers with lightning fast search results.

Search autocomplete

Endeca does not provide a machine learning autosuggest out of the box. Your technology team must build every element of autosuggest from scratch. Usually, retailers using Endeca, are unable to provide anything better than a simple autosuggest, which is below their shoppers’ expectations

Relevant search results

On sites using Endeca, searching for “shoes” can throw up “shirts” because it utilizes a text pattern match. As user queries get longer and retailer catalogs get more complex, your team could end up spending hours to make your site search return relevant results.

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Dynamic Filters and facets

Endeca customers have to define the filters or facets on a search page for every query. If you decide to add the facet “Brand” for the search term “Blenders” then you must do it for all queries including “Blenders”. Even if a customer searches for a “KitchenAid Blender” the “Brand” filter will show up in the results.

Learning based spelling error handling

For most Endeca customers, spelling mistakes are solved by adding and maintaining a list of synonyms, manually. Unless a shopper or site user complains, your site could be showing zero or irrelevant results for common spelling errors

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Detailed Analytics

Endeca lacks analytics that tie to conversion rates and their customers have to rely on tools like Omniture, Coremetrics or Google Analytics. Additionally, the way analytics are set up, you do not have control and visibility over your site search’s actual impact on conversions

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