Marketplace eCommerce

A Marketplace Search Strategy for Filtering and Categorizing Products

Updated June 25, 2024  |  6 min read

Searching, Filtering, and Cataloging Products

One of the biggest opportunities within a marketplace application is being able to accurately search for numerous products. There are many facets to the search, filtering, and catalog of products with different forms being able to enable its most basic level of user function.

Search itself is a pretty extensive topic, but at its most fundamental level it's typically a search box with a text input that's consistent across the site, typically in the header. Most search boxes have an auto-complete function for related topics.

Ultimately, once somebody has typed in a search it's important for the search results to be accurate and up-to-date. If properly implemented with the ability to drill down with filters that dynamically represent the content in the application intuitively, it will improve UI/UX for your site visitors by quickly directing them to their results.

Ever Growing, Adapting, & Scaling to Business Needs

Technology and software in marketplaces are constantly evolving as the business segments grow. Users consistently gravitate toward the more performant and intuitive applications. What was intuitive and optimal 2 years ago is no longer at the head of the pack because of their competitors’ drive to increase top-line revenue. All their competitors are evolving and improving and may have improved beyond the fundamental features within standard search functions.

The end goal of searches is to get a quick return on the results that someone is searching for and to intuitively show options to filter sort and to further refine the search. One of the big things about search within the marketplace in particular, is that there's a lot of data that you'll be searching through as a user and if the application is not optimized the data filtering and searching can take multiple seconds, even 10s of seconds or minutes. Depending on how much data is being filtered and searched through, your application will need to be further optimized to avoid long load-times.

There are too many sites without optimized searching and that's not acceptable in today's day and age. One of the big baseline requirements is to have some form of caching that allows for the search to return in milliseconds typically hundreds of milliseconds. Users have come to expect search results to be available within a few hundred milliseconds, making this incredibly important to run a successful marketplace.

Evaluating What Tags & Categories Go Where

Right out the gate you will want to evaluate different marketplaces based on how they perform at scale because eventually that's where you'll be. You’ll also want to begin thinking about the categories, filters, and tags for your content.

A lot of the searching that happens will guidea user to a category or segment of products and offerings that you’ve listed in the marketplace. In order to properly search on those, it's important that the filters and the tagging in the category display pricing information, reviews, etc. be dynamically displayed.

For example, if a user is searching for an airplane engine then you don't want to show filters and categories that are completely unrelated to airplane engines Another example would be showing a computer motherboard filter and the compatible products, so the filtering logic itself needs to be intuitive and that's standard nowadays. That's something that you want to consider ultimately from a setup and configuration perspective.

You also want to consider what synonyms, misspellings, and acronyms that folks will use when searching for an item. They might be using a SKU, part of the description, keywords or even content within a spec of its association to an item.

These are all things that you want to consider when indexing in the search. Indexing is essentially exposing that content in a structured way so that the search has access to it. With proper indexing, you can present your products in an intuitive manner with proper attributes of the different products, categories, and tags. Each different line of products or category might have a different set of attributes, tags, prices, and range of manufacturers that supply them. A well implemented search can drastically improve your UI/UX for your users.

They’re expecting these functions right out the gate as some of these are part of the core functionality of the search and filtering of products. Other things you will have to consider in the scope of your project is having content that displays based on popularity so the items getting viewed are ones that are frequently getting purchased. Some businesses consider things like:

  • Does the customer have a parent product that might need this supporting product?
  • Do they know if your marketplace is selling replacement parts for your product?
  • Can we determine if the user has a certain type of product or which version of a product they have?

With information like this we can show the appropriate replacement parts, related products, etc. and not things that are not relevant. A possible solution would be for the user to use a wizard to get to that information. Set out the criteria they are looking for and then we can filter based on that, but it's also possible for them to select a parent product and have the children or replacement parts appear.

Importance of Analytics & Tracking

Filtering where the user interacts with the detailed view of a product once they click on it and which ones result in the actual activity reflects their behavior and how they find what they were looking for. We want to move products and search results up the chain so the user is actually getting what they need even when they do not directly tell us. That is how we want to leverage the marketplaces analytics and tracking.

For example, if they click on something and they don't stay on that page for very long on that detailed view of a product, then it’s clear they didn't add it to their cart. If they didn't take any other action, then it is a sign they didn’t get a good search result or it's not what they want. On the other hand, if they do spend time looking at that product, maybe they added it to a wish list or a saved shopping cart. Maybe they eventually processed an order with it. These are good signs that we can aggregate overtime. We can use machine learning and artificial intelligence to then influence future search results to better display what the user is looking for.

In addition, it's helpful to consider that we’re wanting to present information within the search results that are not just directly what the user searched for, but also related items, items based on what they're clicking on their viewing, etc. That's another way to aggregate data within the system to learn what each user is looking at and get them engaging with all of the products in the system.

One of the biggest benefits of a marketplace is that we can gather huge amounts of data overtime about the product's and all their meta information, but also about the users and what they're interacting with.

How Can Clarity Help Guide Your Shoppers

If you want to know more about eCommerce marketplaces, we have a number of articles on our site that may interest you. With marketplace eCommerce, it's not about just turning on all the features under the sun, but selectively implementing the features that match the market you're working with. You want enough functionality that your customers are happy using the platform, but not so much that they get overwhelmed.

With analytics and information, you can dramatically improve the conversions and the stickiness of your marketplace. Which ultimately is going to drive the bottom line and improve margins for the business and for the vendors selling on the platform.

If you're diligent and consistently watching and working on this, it will be reflected as your business continues to improve. We'd would love to help you evaluate some of these options and how to configure the search functions for the targeted segments in your marketplace.

We encourage you to reach out to us if you’d like a complimentary consultation, demo, or discovery session. A discovery session is conducted with our subject matter experts who go over your business needs and what features would best help those. Let's look at how we can collaborate and help your business grow. Click the button below and we can walk you through each important step of your project.

FAQ

 

Filtering and categorizing products in an online marketplace are essential for enhancing user experience and operational efficiency. These processes enable customers to quickly find relevant products from vast inventories, reducing the time and effort spent on searching. Effective filters, such as by price, brand, or features, allow users to narrow down their options to what precisely meets their needs. Proper categorization, on the other hand, organizes products into logical groups, making navigation intuitive and straightforward.

Accurate filtering and categorization contribute to higher customer satisfaction and increased sales. When users can easily find what they are looking for, they are more likely to complete purchases, leading to higher conversion rates. These processes also support personalized shopping experiences by leveraging user data to present tailored recommendations.

For marketplace operators, filtering and categorizing products streamline inventory management and improve the relevance of search results, enhancing overall site performance. They also provide valuable insights into customer preferences and behavior, informing better business decisions. In essence, these strategies are vital for creating a user-friendly, efficient, and profitable online marketplace.

 

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  • Attribute-Based Filters: Implementing filters based on product attributes such as price, brand, color, size, and ratings helps users quickly narrow down their search to find specific items that meet their criteria.
  • Relevance Algorithms: Using algorithms to prioritize and rank search results based on relevance to the user's query enhances search accuracy and user satisfaction.
  • Behavioral Data Utilization: Analyzing user behavior, such as past searches, clicks, and purchases, to refine and personalize search results according to individual preferences.
  • Machine Learning Techniques: Applying machine learning to continuously improve filter accuracy by learning from user interactions and trends.
  • Dynamic Filtering: Allowing real-time adjustments to filters based on inventory changes, seasonal trends, and emerging user preferences ensures that filters remain relevant and effective.

These strategies collectively enhance the user experience by making the search process more efficient and tailored to individual needs.

 

Yes, machine learning can significantly improve search strategies in marketplaces. It enhances search accuracy and personalization by analyzing vast amounts of user data, including past searches, clicks, and purchase history. Machine learning algorithms can predict user preferences, delivering more relevant search results tailored to individual needs.

Machine learning aids in automated product categorization and tagging, ensuring that products are accurately placed within the marketplace. This automation reduces errors and speeds up the categorization process. Continuous learning from user interactions enables these algorithms to adapt and refine search results over time, improving their relevance and effectiveness.

Machine learning can also manage dynamic filters that adjust in real-time based on inventory changes and emerging trends, keeping the search experience up-to-date and efficient. Overall, integrating machine learning into search strategies enhances user satisfaction and drives higher conversion rates by providing a more intuitive and personalized shopping experience.

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Author
 
Autumn Spriggle is a Content Writer at Clarity Ventures who stays up to date on the latest trends in eCommerce, software development, and related topics to provide readers with the latest and greatest. She strives to help people like you realize the full potential for their business.