15 best practices for ecommerce on-site search (with abstract)
Article published by [[Other sources |Algolia]] and reviewed by Nikolay Sidelnikov
| 15 best practices for ecommerce on-site search (with abstract) | |
|---|---|
| Published By | [[Algolia]] |
| Publish Date | Jul 31, 2023 |
| Authors | Jon Silvers |
| Topics | Search |
| Statistics | |
| Article Size | words |
| Diagrams | No |
| Downloadable Version | No |
| Reviewers | |
| Page Owner | Nikolay Sidelnikov |
| Summary Author | Nikolay Sidelnikov |
Abstract
The article "15 best practices for ecommerce on-site search" published by Algolia, one of leading search providers, in July of 2023 contains a good overview of basic best practices that may mostly be applicable for both B2C and B2B.
First, the article explains briefly how to measure impact from ecommerce search (which is actually a very important topic).
The rest of the article is devoted to explanation of the following best practices:
- Make search more visible
- Typo tolerance
- Smart merchandising — promote relevant content at the right time
- NLP
- Filters and facets
- Personalization
- Mobile search
- Synonyms
- Instant search with product thumbnails and price preview
- Machine learning tied to conversions
- Make search visual
- A/B testing
- ADA and WCAG usability
- Whole site search — not just your products
- Search metrics