{"id":22827,"date":"2023-12-28T13:19:44","date_gmt":"2023-12-21T22:16:00","guid":{"rendered":"https:\/\/www.bloomreach.com\/library\/the-ultimate-site-search-guide"},"modified":"2024-11-12T16:07:35","modified_gmt":"2024-11-12T16:07:35","slug":"the-ultimate-internal-site-search-guide","status":"publish","type":"library","link":"https:\/\/www.bloomreach.com\/en\/blog\/the-ultimate-internal-site-search-guide","title":{"rendered":"The Ultimate Site Search Guide"},"content":{"rendered":"

As a world-leading provider of intelligent site search solutions<\/a> and 14+ years of learnings on the nuances of ecommerce site search, it\u2019s fair to say that Bloomreach is an authority when it comes to optimizing on-site search.<\/p>\n

Site search functionality is extremely important to customer journeys because it gets searchers to where they want to go \u2014 when they need to get there.<\/p>\n

In this comprehensive guide, we\u2019ll define site search<\/a>, the benefits of optimizing your site search, and what to look for when choosing a site search platform for your business. We\u2019ll also look at site search best practices, as well as examples of winning ecommerce site search and merchandising experiences from best-in-class brands in this space.<\/p>\n

Here\u2019s everything you need to know about site search.\u00a0<\/b><\/p>\n

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Key Takeaways<\/span><\/div>\n
Learn more about the importance of site search for enhancing user experience and boosting conversions, as well as the best practices and benefits associated with platforms like Bloomreach.<\/div>\n
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  1. Site search allows users to quickly find products, content, or information within a website by entering relevant keywords or phrases. It can improve the user experience and boost conversions \u2014 visitors who use site search are 3x more likely to convert than casual browsers.<\/li>\n
  2. Site search best practices include delivering relevant results, having good UX\/UI, making discovery easy, personalizing the results, and investing in automated SEO.<\/li>\n
  3. When choosing a site search platform, businesses should consider AI capabilities, scalability, headless functionality, reliability, and reputation. Because Bloomreach checks off all these boxes, many brands have benefited from Bloomreach\u2019s AI, Loomi,\u00a0optimizing\u00a0their on-site search functionality and increasing revenue.<\/li>\n<\/ol>\n<\/div>\n

    What Is Site Search?<\/h2>\n

    Site search refers to a website function that allows users to find products, content, or information on that site with speed and relevance. It enables users to find what they\u2019re looking for quickly by entering keywords or phrases (aka search terms) within a site search bar.<\/p>\n

    More than a simple search bar in the top corner of a website, however, site search is a powerful tool to enhance user experiences, increase engagement, and drive conversions by helping visitors find the information or products they desire. Ultimately, site search is about findability \u2014 a crucial aspect of online or offline buying experiences. If site search is left untapped, brands miss out on the potential to improve user experiences and boost conversions.<\/p>\n

    Read this next:\u00a0Everything You Need To Know About Ecommerce Search Bars<\/u><\/a><\/strong><\/p>\n

    \"Everything<\/a><\/p>\n

    The Importance of Site Search<\/h2>\n

    Before diving into explaining how to optimize your site search and choosing a site search solution to help you do it, it\u2019s worth examining why site search is important to begin with.<\/p>\n

    Site search might only account for a small percentage of usage, which leads to companies sometimes downplaying its importance and choosing to invest their optimization efforts in another part of the site experience. What they forget is that visitors who search are 3x more likely to convert<\/a> than casual browsers. This is because visitors who use the search function are on a mission to find something, which means they have a much higher purchase intent. As a result, the search feature can account for 30-45% of your revenue if it\u2019s optimized for the right ecommerce metrics.<\/p>\n

    As we\u2019ll outline in this section, there are several reasons why businesses should consider investing in a dedicated site search solution and making it an ecommerce priority.<\/p>\n

    Read this next:\u00a0Tech Consolidation vs. Ecommerce Site Search Solutions \u2014 3 Risks To Consider<\/u><\/a><\/strong><\/p>\n

    \"Tech<\/a><\/p>\n

    User Experience<\/h3>\n

    Users expect search to deliver the results they\u2019re looking for, so with a great site search engine<\/a> in place, you can provide exceptional user experiences. Consequently, this will lead to higher engagement rates, retention rates, and conversions.<\/p>\n

    When a website expands, it can become increasingly difficult for your site to keep up with what users search for. In this sense, growing pains can actually harm your user experience (UX). But with the right site search, visitors can navigate a site easily, find what they\u2019re looking for, and get recommendations for other products or content as they continue their journey.<\/p>\n

    Visitor Analytics<\/h3>\n

    One of the primary benefits of site search is the insights it provides through visitor analytics. User intent data is valuable because it allows you to understand what a website visitor truly wants in their own words. Site search data can help businesses identify which products or services are in high demand, what information visitors are looking for, and what pages are frequently accessed.<\/p>\n

    With site search analytics, businesses can refine their site experience by tailoring content to a visitor\u2019s needs and preferences<\/a>, which can improve visitor satisfaction and loyalty. Intent data can also be used to fill in content gaps and serve visitors with content you haven\u2019t considered showing before. And, it allows you to really understand your visitors and optimize results for relevancy. <\/b><\/p>\n

    Reduced Customer Support Needs<\/h3>\n

    A reliable website search feature can decrease the need for customer support by allowing users to find the information they need quickly and easily. With an effective search function, visitors can locate the exact information they need without having to navigate through multiple pages or contact customer support.<\/p>\n

    \"Merchandiser<\/p>\n

    By reducing the reliance on customer support, a robust site search experience can improve efficiency and save businesses both time and money. The time saved for employees can be reinvested in other important tasks, which in the case of customer service, would be supporting more complex queries and improving overall customer satisfaction. In addition, businesses can reduce the costs associated with customer support, such as staffing and training expenses. <\/b><\/p>\n

    Customer Acquisition and SEO<\/h3>\n

    Another significant benefit of excellent site search is its impact on customer acquisition<\/a> and SEO. By providing visitors with an intuitive search experience, businesses can increase the likelihood that visitors will stay on their site and complete a purchase. Additionally, search engines like Google prioritize sites with good search functionality, so having a strong site search can improve a website\u2019s search engine ranking.<\/p>\n

    When you discover highly-searched words on your site, you have an opportunity to strategize on how to address the user intent behind those words. From an ecommerce perspective, if you can implement automated SEO<\/a>, you can boost your ranking by automatically targeting the most profitable keywords. This kind of solution indexes the web to understand what customers are looking for and all the ways that they\u2019re searching for your products. Empowered by these insights, you can optimize your site for long-tail queries.<\/p>\n

    \"Example<\/p>\n

    How Does Site Search Work?<\/h2>\n

    When it comes to online shopping, site search is an essential tool for visitors to easily find the products or information they\u2019re looking for. But simple keyword matching is no longer enough to deliver personalized and relevant results. That\u2019s where semantic search<\/a> comes in.<\/p>\n

    Semantic search is a search engine that understands how people speak, which goes beyond natural language processing (NLP)<\/a> and into the ability to parse each word of a search query into its respective attribute and makes sense of ambiguous words. For example, a query like \u201cshirt dress\u201d would be interpreted as \u201cshirt\u201d being the style and \u201cdress\u201d being the product type. Meanwhile, a query like \u201cdress shirt\u201d would be interpreted as \u201cdress\u201d being the style and \u201cshirt\u201d being the product type. <\/b><\/p>\n

    \"Example<\/p>\n

    Semantic search engines<\/a> work by focusing on two main functions of search: retrieval and ranking<\/a>. Retrieval is the process of finding the set of products in a catalog that matches what the user is searching for, while ranking is the process of ordering the retrieved products in a particular sequence. The best search engines optimize for both retrieval and ranking to determine search intent accurately.<\/p>\n

    Other search engines in the market today may focus on only one aspect of the search process, such as basic algorithms that impact ranking or retrieval. These solutions typically lack query understanding or built-in intelligence, requiring heavy curation and manual training for things like synonyms, misspellings, and assortment gaps.<\/p>\n

    At Bloomreach, we take a different approach by applying a broad set of intelligent algorithms and features that touch every part of the search process. This is how we\u2019ve maintained our market-leading position in ecommerce search for 14+ years. Our search experts have set the standard for driving search revenue through true semantic understanding at the core, delivering the most personalized and relevant results for each customer.<\/p>\n

    Search has come a long way since simple keyword matching. With semantic understanding and machine learning<\/a>, Bloomreach\u2019s search engine is an example of how intelligent algorithms and features can be applied to every part of the search process to achieve at a higher level. <\/b><\/p>\n