elasticsearch for magento 2

 

Why it is important to make redirect on 404 error?

Nobody likes to see 404 error pages. But when it comes to eCommerce, these things happen from time to time. To solve this problem, we redirect customers to the correct search results page instead of showing a 404 error page. Say, your store had a product at one point, and it got delisted, but Google still shows it in the search results. Our extension will redirect your customers to a search results page with similar products instead of leading them to a 404 error page, preventing you from losing potential customers.

How the search landing pages can benefit a store?

The Elasticsearch Magento 2 extension can create special pages that will show search results for specific queries. Such pages will look like regular catalog pages, and will have their own SEO-friendly URLs, titles, and meta tags. For example, you can create a page titled 'Samsung mobile phones for ladies'. It will look like a regular catalog page, but the product list will return search results by the query 'samsung mobile phones for ladies'. Store owners with a huge number of products in their stores often create their catalogs using search landing pages. They include links to pages from the main navigation menu. This allows them to easily manage their huge catalogs. Search landing pages are also very useful for SEO optimization. You can create them for different search phrases with different sets of products. Their creation and support won't take up too much of your time, while still improving traffic from Google and other search engines.

What big online projects use Elasticsearch Engine?

Elasticsearch is a real-time distributed search and analytics engine. It's used in projects of any size from startups to huge enterprise search clusters. Some examples include:

• Wikipedia. It uses Elasticsearch to provide full-text search with highlighted search snippets, and search-as-you-type and did-you-mean suggestions.
• The Guardian. This media outlet uses Elasticsearch to combine visitor logs with social-network data to provide real-time feedback to its editors about the public's response to new articles.
• Stack Overflow. This online project combines full-text search with geolocation queries and uses "more-like-this" to find related questions and answers.
• GitHub. Uses Elasticsearch to query 130 billion lines of code.