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Ecommerce is an integral part of the fashion industry, which means optimizing online stores is imperative to success.
When optimizing their online stores, fashion retailers must consider their shoppers' habits and expectations in streamlining the shopping experience.
Statistics are based on Prefixbox Analytics
Pricing is based on API requests and the suites used. Every suite comes with a 14 day free trial.
Learn morePersonalize search results by user preferences like brand, color, and size based on user profiles from your Customer Data Platform (CDP). Prefixbox’s Personalized Search combines the power of AI Search Engine and re-ranks search results based on the personalization strategy you configure in the Prefixbox Admin Portal.
Visual Recommendations present shoppers with products that look similar to what they're viewing on the SERP. These images enable shoppers to explore the wide range of options a store offers for a specific product without executing a separate search query, which is very useful in helping shoppers navigate the fashion industry's extensive product catalogs that include many different variations of a product.
Rich Autocomplete deciphers user intent and suggests keywords, products, and categories the second shoppers click into the search box. This feature helps shoppers formulate their search query by recommending keywords for products they are most likely looking to buy as they execute their query.
Detailed Product Tiles on the SERP provide show shoppers different colors of a product (shoes, sweaters, shirts) so they can explore their options before making a purchase. These easy-to-read, detail-rich tiles include photos, prices, available sizes, and add-to-cart and wishlist buttons to facilitate a seamless shopping experience.
Filtering is a critical part of online fashion stores, as it prevents shoppers from getting overwhelmed with endless results by presenting the most relevant products. Faceted Filtering allows shoppers to narrow down results based on the clothing item they're looking for and find desired items by further specifying preferred product attributes like brand, size, color, or price.
Related Searches enable shoppers to refine their initial search with just one click by suggesting relevant alternatives based on semantic relations and user behavior. These suggestions help shoppers easily navigate results without executing additional search queries.
Merchandising allows retailers to promote the products they want to sell to support their business goals and inform shoppers about sales periods. Merchandising increases the profitability of online stores by giving retailers the power to alter the Search Engine Results Page, get rid of stock, create custom banners and promotions, and set up intent clarification tiles to provide easy navigation to shoppers.
This feature is especially useful to the fashion industry because companies often have deals with brands to advertise products, and merchandising can be used to push or boost items on the Search Engine Results Page for set periods of time.
Personalized Recommendations analyze individualized user behavior such as page views, clicks, and cart actions in addition to similar shoppers' behavior to suggest products tailored to them.
Personalized Recommendations are placed on the home page, product detail pages, SERP, and product listing pages to enhance the shopping experience by showing shoppers you understand them.
Streamline the path to purchase with data-driven search results that increase conversion rate.
Increase engagement and help shoppers refine their search intent with just 1 click.
Inspire shoppers to explore your catalog with relevant recommendations that boost average order value.
Optimize your solution with insightful metrics, frequent A/B tests, and search experts dedicated to improving the user experience in your store.