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Nov. 26, 2021
Search
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To build great ecommerce search experiences, you need to consider at least three parts:
- An as-you-type autocomplete menu with search suggestions for popular and recent searches, matching products, and editorial content
- A product listing page with rich filtering and navigation options to refine the search results
- A “no results” experience that engages users even if no search results match their search
When building these parts of the search experience, you can leverage these Algolia features, and libraries:
- Search and Discovery UI kit
- Query Suggestions
- Autocomplete UI library
- InstantSearch UI library
- Rules
- Personalization
- AI re-ranking
- Voice search
Get inspired by real-world examples from Algolia users. Explore search experiences built with Algolia
Building ecommerce search experiences
Based on an analysis of search experience implementations by Algolia users, there are four stages in the evolution of the search experience. See the ecommerce implementation playbook for an overview of all solutions for the ecommerce use case.
Implementing autocomplete stage-by-stage
| Stage 1 |
Create responsive and accessible autocomplete experiences
|
| Stage 2 |
Search merchandising |
| Stage 3 |
Add and test AI re-ranking Personalized recommendations
|
Implementing product-listing page stage-by-stage
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