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November 6, 2023

Common E-commerce Search Mistakes and How to Fix Them

Author imaage
Mohammed Yaseen
NLP Engineer
A magnifying glass over a digital storefront symbolizing e-commerce search improvements

A staggering 70% of ecommerce sites suffer from subpar search capabilities, as reported by the Baymard Institute. This is worrisome, considering modern customers expect seamless and efficient product search experiences. 

In this article, we'll explore common search pitfalls and share valuable insights, real-life examples, and data-driven strategies to help you transform your online store's search experience into a customer-pleasing powerhouse. Ready to level up? Let's get started!

E-commerce search mistakes

5 Search Mistakes to Spot and How to Tackle Them 

An efficient product search experience can make or break an online store. In this section, we will delve into five prevalent search mistakes and provide practical solutions to help you understand the impact of these issues and the effectiveness of the recommended fixes.

1. Relying on keyword-based search functionality

Many ecommerce websites still rely on basic keyword-based search functionality, which can lead to inaccurate search results, difficulty finding the desired product, and, ultimately, lost sales. For instance, a customer searching for "running shoes" might miss out on relevant products tagged as "athletic footwear" due to the reliance on exact keyword matches.

How to fix it:

For instance, online fashion retailer ASOS improved its search functionality by implementing a more intelligent search engine that recognizes synonyms, related terms, and common misspellings. As a result, the company saw a 50% reduction in failed searches and significantly increase conversions.

2. Not tracking and using customer data

When customers search for products on your site, they provide valuable data to help you improve their experience and drive conversions. However, suppose you're not tracking and using this data. In that case, you must take advantage of a valuable opportunity to enhance search relevance and discovery.

How to fix it:

Take inspiration from Amazon! Amazon utilizes customer data and search behavior analysis to continually refine its search algorithms and product ranking. This data-driven approach has helped Amazon maintain an industry-leading conversion rate of around 13% for non-Prime members and a staggering 74% for Prime members.

3. Poor navigation and browsing experience

A clunky navigation and browsing experience can quickly deter potential customers from exploring your site further. To provide a seamless browsing experience, consider the following fixes:

IKEA revamped its website navigation by implementing a more user-friendly menu system, incorporating breadcrumbs, and optimizing for mobile devices. As a result, IKEA experienced a 7% increase in online sales and a 30% increase in mobile conversion rates.

4. Downplaying the importance of product recommendations

Product recommendations play a vital role in guiding customers toward making a purchase. By leveraging data-driven recommendations, ecommerce websites can significantly improve their conversion rates.

How to fix it:

5. Ignoring/subjecting users to no-results pages

No-results pages can be frustrating for users and may lead them to abandon your site. By addressing this issue and providing alternative options, you can minimize the negative impact of no-results pages.

How to fix it:

Closing thoughts

An optimized search experience benefits your customers and helps your business thrive in the competitive ecommerce landscape. Remember, the key to success is continually refining your search functionality, leveraging customer data, and creating a seamless browsing experience. By doing so, you'll be well on your way to maximizing your online store's potential.

Don't wait any longer; start improving your product search today. To see how an intelligent search solution can transform your ecommerce site, we invite you to try out Zevi's demo and experience the difference for yourself.

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