Infographic

The 99% Problem in Ecommerce Search

Understanding the difficulties of delivering relevant search results on ecommerce sites, why it happens and the solution to this problem.

What’s Inside

Grab this infographic to understand why ecommerce site search is so widely used, yet 99% of retailers struggle to deliver relevant search results. Highlights include:

Understanding the audience you are catering to, and using data and analytics to satisfy their needs
How ecommerce search is siloed, and how this is holding back retailers from delivering satisfying user experiences
How AI can solve this problem, when used properly

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Customer Needs and Wants

When you think of your audience, you simply think of your customers. However, when trying to reach peak performance, we have to dig a bit deeper and consider that your audience exists in three parts: your existing customers, your prospective ones and your merchandisers. To understand how it works, you must analyze what your existing customers need, what your potential customers want and what your digital merchandisers must do to best support them. As a merchandiser, you have to study data and usage analytics to understand buying patterns which will aid you in supporting your target audience. Whilst this seems simple enough, it's something ecommerce retailers struggle to do efficiently and properly. Want to know how you can provide relevant results whilst boosting customer experience? Read the infographic to find out more.

Ecommerce Search is Siloed

Search users can comprise 10-40% of all the users on your eCommerce search platform, which means that 40% to 80% of your online revenue could be generated by search users. If ecommerce search is so important, why do so many retailers struggle with it? It’s because Ecommerce search is siloed across different platforms, with 78% of retailers struggling for alignment across these platforms. Without the lack of a unified index, ecommerce search fails to reach its maximum potential for efficiency. When competing with big companies such as google search and google analytics, companies don't realize that these inefficiencies set their search engine back from being as optimized as Google's. Pulling your company-wide content into one unified search index creates a single space for all your data which enables your audience to search one platform and find all the relevant information from there.

How AI can solve this problem

AI now plays an enormous role in enhancing customer experiences and innovative solutions in the eCommerce industry. It increases efficiency by automating the repetitive tasks that keep your online store going, using optimized search engines. Product recommendations, personalized shopping experiences, virtual assistants, search suggestions, and voice search are some of the most distinctive uses of AI in eCommerce. However, whilst 91% have AI in their search stack, only 15% have utilized it in their business. Why? What's the reason behind this disconnect? The truth is ecommerce search can be improved by AI, but only when used properly. How can these tools be used to provide ecommerce businesses with more personalized and accurate search experiences for their customers? Download this infographic to find out.