When it comes to e-commerce, having an effective search function is crucial for providing a seamless shopping experience. Magento, a popular e-commerce platform, offers native search functionality, but optimizing it for the best results requires some insight. In this guide, we will delve into the workings of Magento search and explore how to configure it to suit your business needs. Whether you are a smaller retailer working with the native search function or a larger merchant considering third-party solutions, we have you covered.
Before diving into the configuration details, let’s highlight some key changes in Magento 2’s search capabilities. Magento 2 Enterprise Edition now offers the option of using ElasticSearch (formerly Solr), providing more robust search capabilities. In contrast, Magento 2 Community Edition only supports MySQL. Notably, Magento 2 no longer includes the ‘like,’ ‘fulltext,’ or ‘combine’ options for query matching, which were available in Magento 1.
Configuring search in Magento 2 is a pivotal step in enhancing the search experience for your customers. The native options for configuration remain similar to newer versions of Magento 1. Key settings include enabling auto suggestions, defining the minimum query length, and setting the number of recommendations. However, the ‘like,’ ‘fulltext,’ or ‘combine’ option for query matching is no longer available when using MySQL. Below is a screenshot of the search configuration options in the Magento 2 admin interface.
Synonyms play a crucial role in refining search results. Magento 2 handles synonyms much like Magento 1, through the ‘marketing > search synonyms’ function. This feature allows you to manually optimize longer-tail queries and generic synonyms not covered by Magento’s default settings. Smaller retailers looking to use Magento’s native functionality can benefit significantly from investing time in this area.
For many merchants, investing in a specialized third-party search solution is the way to go, as native Magento search functionality has its limitations. Klevu is a market-leading third-party search solution that employs natural language processing (NLP) and machine learning to provide more accurate results. Here are some compelling reasons to consider using Klevu:
When considering a third-party search solution, here are essential features to look for:
For users still on Magento 1.x, optimizing search results is also possible. In Magento 1.x, you have three core search options: ‘like,’ ‘fulltext,’ and ‘combine.’
Optimizing your e-commerce website’s search functionality is crucial for delivering a superior user experience. Magento’s native search capabilities, while functional, may fall short of meeting the demands of larger retailers. We recommend considering third-party solutions like Klevu to harness the power of natural language processing and machine learning for improved results.
Experimentation with both Magento’s native functionality and premium third-party modules can help you determine the impact on your sales. Remember that search is a critical aspect of e-commerce, and investing in a robust search solution can lead to higher customer satisfaction and increased conversions. Explore different solutions, weigh their features, and choose the one that aligns best with your business needs.
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