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Introduction to Live Search

This is a brief introduction to Live Search from ÃÛ¶¹ÊÓƵ Commerce. Live Search powered by ÃÛ¶¹ÊÓƵ Sensei uses artificial intelligence and machine-learning algorithms to perform a deep analysis of aggregated visitor data.

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Who is this video for?

  • Website managers
  • Web merchandisers

Video content

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Transcript
Welcome everyone. I’m Sandra Nocera-Hangano and today I’m excited to walk you through the powerful search capabilities of ÃÛ¶¹ÊÓƵ Commerce. We have a couple of options but today I’ll be talking about the most marquee element to the search landscape within ÃÛ¶¹ÊÓƵ Commerce that is powered by ÃÛ¶¹ÊÓƵ Sensei, which is Live Search. For this demo, I will be showing you how Emma as a merchandiser, together with Noah as a marketer, can make the best use of our tools to optimize their site search results for shoppers like Amanda to get the products they are looking for. Live Search is a robust SaaS solution designed to enhance the e-commerce experience through advanced AI-driven technology. It leverages AI and machine learning to deliver highly relevant search results, ensuring customers find what they are looking for quickly and efficiently. Let’s dive into the demo. To optimize search results, Live Search Performance Metrics allows you to monitor search queries, average click position, click-through rate, conversion rate, and zero results rate to understand how customers interact with your search functionality. This data will guide you to regularly update and refine search results. Unique Searches helps in understanding the diversity of search terms used by customers and provides insights into what products or information users are seeking. Zero results is crucial for understanding how often users are searching for unsuccessful terms. This might give you insights into potential gaps in your product catalog or search setup. A high zero results rate can indicate missing products or categories in your catalog. Using Live Search popular results data can significantly enhance your search results by aligning them with user preferences and behaviors, while guiding at the same time your business decisions. To create a highly customizable search experience for all your customers, with Live Search you can set up advanced search roles, synonyms, facets, and category roles. Faceting is a critical component of an e-commerce. It is designed to enhance the user experience by allowing shoppers to narrow down search results and find products more efficiently. Facets in ÃÛ¶¹ÊÓƵ Commerce are the equivalent to product attributes. Any attribute set as searchable can be set up as a facet. Our user-friendly, easy, and intuitive to use admin UI will guide you on what needs to be done for each action. As you can see, for adding a facet, it will show you the list of product attributes and highlight the ones that are enabled and set up as searchable. We have two types of facets. Pinned facets that are prominently displayed and remain visible within the search page, while dynamic facets are shown based on search results and product data. It is also possible to define the number of values that are displayed on each facet and how do you want those values to be sorted, either by the count of products or alphabetically, which will further improve the shopping experience. As part of our AI support, Live Search manages by default Fosse’s search to automatically return results for misspellings to ensure comprehensive search results. On top of this, it is also possible to expand the search query to include words that shoppers might use that differ from those in your catalog. You can do this by setting up one-way or two-way synonyms. This will ensure you don’t lose a sale because someone is looking for a hoodie and what you have in your catalog is a sweatshirt. Search Merchandising is the next feature that will help you to configure and set up an optimized search experience for your customers. You have the possibility to create search rules that can adjust product rankings based on sales data, stock levels and promotions. Merchants can also set up a default rule to determine how search results are initially sorted and displayed to users independently of their search term. On a search rule, you can define which conditions to apply. It can be full query, part of it, starts or ends with. And then, here is where the magic happens. You can introduce intelligent ranking to help you refine the search by specifying whether you want to show products by recommended for you based on the customer behavior, most viewed, purchased, added to cart or trending. You always have a preview of your rule to help you visualize how products will be listed on the front end based on the parameters defined. You can also pin or browse products with high sale volumes or recent sales activity, for example. You can also borrow or hide products for particular searches based on your business objectives. Each search rule can be set up as undefined or for a specific period of time. It is also possible to set up search redirects to allow you to automatically redirect users from a search query to a specific landing page. Similarly to search rules, category merchandising allows you to apply intelligent ranking rules to product categories and subcategories. Once a category is selected, adding a new rule is similar to search rules. They can be applied to either one or you can inherit rules to subcategories. On the next session, I’ll show you how search looks like from a shopper perspective. On the front end, merchants can benefit from a SaaS service approach using Live Search widgets to help them deliver their projects quickly. Engineers can also use Live Search GraphQL API that is powered by our SaaS capital service to create their own customized search experience. All this while improving their features with minimum upgrade effort. As a SaaS service, any updates, fixes, improvements will be immediately available without going through a long upgrade cycle. Live Search is composed by two key elements. The first one is our popover or search input that provides autocomplete functionality to dynamically display suggestions to users as they enter their search terms. This helps users find products more quickly and easily by offering real-time suggestions based on their input. With each character type by the user, the popover is updated with suggested products and thumbnail images of the top search results. The second key element is the search results page itself. From this search, as you remember, we set up a search rule pin in the black and green hoodies listed on the first positions. And also buried the Celine one that is shown at the bottom of the search. You can see also how facets are displayed for shoppers to refine their search base on the facets set up. B2B customers can also benefit from using Live Search using shared catalogs and specific pricing defined for their use-gins. Live Search is perfectly integrated with B2B Business Model. Thanks for watching.

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