Leading Online Retailers eBay, H-E-B, Office Depot, and Others Achieve Greater Operational Resilience by Personalizing Ecommerce Product Search and Discovery Experience with Elastic
MOUNTAIN VIEW, Calif.--(BUSINESS WIRE)-- Elastic (NYSE: ESTC), the company behind Elasticsearch, today released a commissioned study conducted by Wakefield Research, an independent research firm, titled Product Over Price: The Critical Role Personalization Plays in Converting Online Searches into Sales.
The study reveals insights into the ecommerce shopping experience, illustrating how online retailers can turn searches into sales by providing shoppers with personalized product recommendations quickly and at scale.
More relevant recommendations help retailers meet demand and optimize sales
According to the study, online shoppers demonstrate little patience for irrelevant search results, but personalization remains a powerful tool to keep them connected to their preferred retailers.
Rising prices and economic turbulence test shopper loyalty
The majority of online shoppers report that they are already changing their spending habits in response to economic uncertainty, but they are more likely to remain loyal to brands that offer personalized experiences.
Earning shoppers’ trust begins by personalizing their shopping experience
Online shoppers attest to personalization leading to increased sales and point to a consistent and convenient omnichannel shopping experience giving them confidence in their purchases.
Meeting customers’ expectations for personalization
Already deployed by many of the world’s leading online retailers, including eBay, GrubHub, Office Depot, The Home Depot, and Ticketmaster, Elastic Enterprise Search gives development teams the flexibility and control to create applications that place personalized suggestions at the heart of their shopping experience.
By offering a set of customer-proven features and capabilities, Elastic enables retailers to provide more personalized online shopping experiences with out-of-the-box analytics and visualizations that allow retailers to identify trends and patterns within behavioral data to drive maximum value. Ecommerce developers can leverage machine learning to implement tailored discovery, query suggestions, and predictions for better personalization and product recommendations.
For more information about how Elastic Enterprise Search enables developers to build more personalized shopping experiences, read the Elastic blog.
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The study, Product Over Price: The Critical Role Personalization Plays in Converting Online Searches into Sales,was commissioned by Elastic and conducted by Wakefield Research among 1,000 nationally representative US adults ages 18+, between June 22nd and June 28th, 2022, using an email invitation and an online survey. This survey was weighted to ensure an accurate representation of US adults. Additional details about the study’s methodology can be found in the report.
About Elastic:
Elastic (NYSE: ESTC) is a leading platform for search-powered solutions. We help organizations, their employees, and their customers accelerate the results that matter. With solutions in Enterprise Search, Observability, and Security, we enhance customer and employee search experiences, keep mission-critical applications running smoothly, and protect against cyber threats. Delivered wherever data lives, in one cloud, across multiple clouds, or on-premise, Elastic enables 18,000+ customers and more than half of the Fortune 500, to achieve new levels of success at scale and on a single platform. Learn more at elastic.co.
The release and timing of any features or functionality described in this document remain at Elastic’s sole discretion. Any features or functionality not currently available may not be delivered on time or at all.
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Chloe Guillemot Elastic Public Relations PR-Team@elastic.co
Source: Elastic N.V.