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How often has a customer used a store’s website to look for a product only to receive irrelevantly or, worse still, no search results at all? Although the majority of e-commerce websites feature search tools, few of them succeed in enabling users to easily find the products they desire.

Shoppers may now obtain more relevant results due to a new eCommerce solution that integrates Google technology into on-site search.

According to a 2021 survey by The Harris Poll and Google Cloud, 94% of American consumers ended a buying session because they received irrelevant search results. “Search abandonment” is the term for this situation. Poor product discovery experiences can put a stop to purchasing and annoy customers. Search abandonment costs retailers an astonishing $300 billion annually in the United States annually

The USA’s global retail industry has struggled in recent years as a result of the shift to online purchasing.

This new solution was created to provide eCommerce stores access to Google’s technology within their respective domains.

Global shopping portals and online retailers can boost their websites and applications with Google-quality search.

It was developed using Google’s technologies, which comprehend context and user intent, to assist businesses in enhancing on-site search and the overall shopping experience.
It attempts to assist companies and eCommerce companies in enhancing on-site search and user experience.

Google-quality search and recommendations on merchants’ digital properties are now available through a new solution for e-commerce sites.

Retail Search is a technology developed by Google cloud computing name of websites enables businesses to use Google’s search engine on their websites.

What is Search Abandonment?

All of us have experienced it. On an e-commerce website, we conduct a product search but receive only unrelated or occasionally no results. We apologize, it says in the search results. There are no matches for your search query, unfortunately.

We are all aware of how infuriating this term may be when a website is unable to comprehend your request. The issue is that the development and design of eCommerce websites are still evolving. Additionally, they continue to lack powerful search tools.

It is the goal of online shops and shopping websites to make it simpler for customers to find what they desire. But the majority of them fail to succeed.

Here are some numbers. 2021 research was conducted by Harris Poll and Google Cloud. It demonstrates that 94 percent of American buyers who start a purchase session but end it early do so because of irrelevant search results.

This tendency is known as “search abandonment” by experts. An unpleasant product discovery experience irritates the visitor. A conversion can fail on an e-commerce website.

On the other hand, the same study found that 69 percent of consumers claimed they made additional purchases after a positive search experience. Successful search experiences can result in higher sales, greater brand trust, and larger purchases.

In the USA, retailers lose a whopping 300 billion dollars yearly because of search abandonments. By improving customer experiences, Retail Search hopes to address both elements of the issue, lower search abandonment, and increase purchases.

Understanding user intent in search is a hard problem

Although the search has advanced significantly since the days when it was mostly reliant on keywords and boolean logic, consumers still have trouble finding what they’re looking for. To receive the results they want — if they find anything relevant at all — users frequently have to come up with the ideal question that the search engine on a retailer’s website will understand.

In the present era of online retail, where tens of thousands or even hundreds of thousands of items are offered on a single e-commerce site, traditional search technologies are worthless.

Today’s users demand that search engines understand their intentions more thoroughly, deliver relevant results more quickly, and make it simple for them to find new things through tailored suggestions.

Fortunately, consumers may now have better, relevant product discovery experiences on retail websites thanks to the integration of marketing and data science insights with cutting-edge search technology based on machine learning and artificial intelligence.

Now, due to the power of Retail Search, a customer searching for a “long black dress with short sleeves and comfortable fit” on an e-commerce website ought to receive results for that same item right away rather than having to keep refining their search or, worse yet, abandoning it altogether.

Retail Search hopes to address both sides of this issue, minimize search abandonment, and encourage sales by improving customer experiences.

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Amy Smith

Amy is the content manager at PROS — Internet Marketing & Technology Company in San Diego