ZETA Co., Ltd.
Recommendation engine “ZETA RECOMMEND” introduced to seven official online shops operated by Kao Group
Supports UX improvement by displaying recommendations based on popularity rankings of similar products and behavior history ……
ZETA Corporation (Headquarters: Setagaya-ku, Tokyo; hereinafter referred to as ZETA), a leading company in commerce and CX that develops and sells EC product search, reviews, hashtags, EC curation, and OMO solutions, is a subsidiary of Kao Corporation (Headquarters: Tokyo). We are pleased to announce that the recommendation engine “ZETA RECOMMEND” has been introduced on a total of seven sites of the Kao Group, including the official online shop “My Kao Mall” operated by Chuo Ward, Tokyo (hereinafter referred to as Kao).
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[Official online shop “My Kao Mall” operated by Kao]
https://www.kao-kirei.com/ja/
“My Kao,” an interactive digital platform operated by Kao that connects directly with consumers, co-creates each customer’s Kirei-Life through four functions: “Know,” “Experience,” “Buy,” and “Create.” With this aim, we are working to provide a variety of UX (customer experiences) by connecting with customers through One-ID and gaining a deep understanding of them.
Recently, the recommendation engine “ZETA RECOMMEND” provided by ZETA has been introduced to “My Kao Mall” and other official online shops “est”, “KANEBO”, “LUNASOL”, “RMK”, “SUQQU” and “athletia” operated by the Kao Group. It is now possible to display recommended products based on data obtained on the same site.
Improve CVR by displaying popular rankings of similar products
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By linking sales data, it is now possible to set detailed logic, and it is now possible to display similar products in the same category and characteristics as the product you are viewing as a popularity ranking.
By presenting popular products on the site in a ranking format, we can increase users’ desire to purchase and contribute to creating opportunities for additional purchases, which in turn can be expected to improve CVR.
Promote cross-selling by displaying recommendations based on user behavior history
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It is now possible to display recommendations such as “People who bought this product also bought this product” and “People who liked this product also favorited this product.”
By analyzing the user’s behavior history and displaying products that match their preferences, it not only increases site traffic but also promotes cross-selling.
The “ZETA CX series” is an EC product search/site search engine “ZETA SEARCH”, a review/word-of-mouth/Q&A engine “ZETA VOICE”, a hashtag utilization engine “ZETA HASHTAG”, an EC curation engine “ZETA BASKET”, an OMO・With a lineup of eight products, including the DX solution “ZETA CLICK,” we use advanced data analysis and matching technology to create an even higher quality purchasing experience. ZETA will continue to provide useful services and introduce the effects to users and e-commerce site operating companies.