Google Cloud’s Retail Search Equips Retailers with Google-Quality Search Functionality to Improve Product Discovery, Reduce Search Abandonment
– More than $300 billion lost to search abandonment each year in the U.S. alone, according to new research
– Customizable solution makes it easier for retailers to drive conversion, while helping shoppers get what they’re looking for faster
Google Cloud today announced Google Cloud Retail Search, a purpose-built industry solution that gives retailers the ability to provide Google-quality search on their own digital properties. Built on Google’s deep understanding of user intent and context, Retail Search provides retailers with search functionality that is customizable for their own unique business needs, providing buyers with a higher-quality shopping experience.
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Search Abandonment Presents Costs and Opportunities
Similar to cart abandonment, search abandonment is a costly industry-wide issue. Customers have a low tolerance for bad search results on retail websites, which impacts sales and erodes brand loyalty. This act of “search abandonment” costs retailers more than $300 billion a year in the U.S. alone, according to research conducted by The Harris Poll, commissioned by Google Cloud. 
The problem is pervasive. Ninety-four percent of consumers globally received irrelevant results while searching on a retailer’s website in the last six months, and 85% say they view a brand differently after experiencing search difficulties.  Retail website managers agree—90% of U.S.-based managers surveyed are concerned about the cost of search abandonment to their company. 
The costs of search abandonment are great—and so are the opportunities. More than half of global consumers (53%) say they often end up purchasing additional items once they find what they are looking for on a website.  These costs and opportunities have only been exacerbated by the dramatic shift to digital commerce due to the pandemic.
Google Cloud Retail Search
Based on Google’s decades of experience in search, Retail Search helps convert purchase intent across retailers’ own websites and mobile apps by understanding consumer intent and mapping it to product inventory. It’s a fully customizable solution that allows retailers to provide helpful search experiences, including auto-complete, personalized results, and relevant promotions. Machine-learning-based search results improve with every query. As with all Google Cloud solutions, customers control their data and Google does not use it to improve ads targeting.
“Providing quality search results is an industry-wide challenge,” said Srikanth Belwadi, Group Product Manager at Google Cloud. “While traditional search platforms are keyword-based, Google’s semantic understanding of query intent enables retailers to dramatically improve experiences for customers with learning-based search. Retail Search helps get shoppers what they want faster, leading to higher conversion rates and happier consumers.”
Retail Search is a fully managed service as a part of Product Discovery Solutions for Retail, a suite of solutions that help retailers enhance their ecommerce capabilities and deliver personalized consumer experiences. Google Cloud’s unified Retail API allows developers to easily implement and integrate with other Product Discovery Solutions, such as Recommendations AI and Vision Product Search. This makes it easy to implement features like personalized recommendations, image-based search, and product browsing, as well as to turn on future capabilities to stay at the forefront of digital retail.
Customers Reducing Search Abandonment with Retail Search
Retailers like Macy’s are seeing a reduction in search abandonment and an increase in conversion rates after implementing Retail Search on their digital properties.
“Understanding our customers’ needs and being able to deliver results seamlessly is critical to providing an enjoyable shopping experience,” said Jilberto Soto, director of product management, search at Macy’s. “After a successful pilot which showed improved click-through rates and revenue per visit, we are excited to partner more closely with Google Cloud to continue to provide the experience our customers expect.”
Grid Dynamics and SADA are available to implement Retail Search for retailers globally. “With the acceleration of ecommerce and evolving consumer expectations, retailers must have access to real-time data to pivot quickly and address sudden shifts in consumer buyer behavior,” said Dana Berg, chief operating officer, SADA. “The ability for retailers to provide quality search on their own digital properties fuels personalization and contributes to an increase in conversion rates.”
Retailers can further improve customer experiences by using Retail Search in conjunction with the full suite of Product Discovery solutions, including Google Cloud Recommendations AI to improve product recommendations. Retail Search is now in private GA – please contact us or reach out to your Google Cloud representative to learn more and enable your account.
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