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ci-casestudy-zalando

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  1. 1. About Zalando Zalando started as a convenient and simple way to buy shoes online in 2008. Today, they offer clothing, shoes, and accessories for men, women and children. zLabels is their private-label brand. Zalando operates in 15 countries from headquarters in Berlin. To learn more, visit www.corporate.zalando.com Zalando at a Glance Results • Improved alignment with Google Shopping policy on all data feeds • 158% impression share increase for largest product category • 14.4% revenue growth from sales driven by Google Shopping Online fashion company Zalando proudly proclaims that they are “the clear, pure-play online fashion leader in Europe.” Over 15 million active customers, 130+ million website visits per month, 150,000 product choices, and 1,500 brands make Zalando Europe’s leading online fashion platform. “Customers are our absolute core focus, and clean, high-quality data is a fundamental element in helping them find the products they’re looking for,” says Lukas Sercu, Zalando search engine advertising (SEA) team manager and lead of the Special Ads team. Google Shopping and Product Listing Ads (PLAs) are essential to the enormous success of the company’s customer-centric ecommerce approach. Seeking a partner who could help take existing product-catalog data and create additional opportunities, Zalando turned to Channel Intelligence (CI). The online retailer takes a very hands-on marketing approach and manages their own campaign budgeting and bidding for Google Shopping campaigns. Zalando wanted Channel Intelligence’s help with their data-feed management. “Zalando chose CI to help us apply feed optimisations in a quick and agile manner, acting as an extension of our team,” Sercu explains. “Zalando chose CI to help us apply feed optimisations in a quick and agile manner, acting as an extension of our team.” —Lukas Sercu, SEA team manager, Zalando Speed, flexibility and collaboration Zalando has an especially large and complex product feed. They have always known that high-quality product data was key to improving the performance of their Google Shopping campaigns and invested in excellent data and content marketing. “As a service provider, Channel Intelligence ensures that all agreed feed topics—such as key categories and basic standardised feed optimisations— are delivered with speed. They react to trends with flexibility and collaborate as a partner to implement ideas quickly,” Sercu says. For example, this might include harvesting brand and size for items specifically searched by shoppers, or identifying new opportunities of additional search queries related to a particular product. “CI helps us innovate and be a ‘first mover’ when it comes to product data quality,” Sercu adds. CI also introduced defined feed experiments as part of Zalando’s PLA strategy. The experiments tested impact of large scale optimisations such as colour normalisation and niche optimisations, e.g. seasonal products. The results provide valuable insights into shoppers’ interactions and behaviour when using the PLA format. Zalando provides high-quality product choices to European fashion shoppers through Channel Intelligence Case Study | Zalando
  2. 2. Channel Intelligence is a subsidiary of Google © 2015. Channel Intelligence, Inc. All rights reserved. www.channelintelligence.com GSHOP_CI-CS-1501 Greater relevance for shoppers Zalando began working with CI in October 2014. CI set up a technical and account management team, created a new feed infrastructure, refined Zalando’s Google Product Category with CI mapping technology, and enriched product titles to make them more relevant to fashion shoppers. CI also took considerable time before the launch to understand Zalando’s PLA strategy and performance marketing goals in order to recommend customised feed optimisations. “The close, teamwork-like collaboration between feed and campaign management is key to aligning with our PLA goals, which are to optimise sales by showing relevant products with an attractive cost per order,” Sercu says. CI devised quarterly and annual action plans for Zalando, including specific feed optimisations and new-product (beta) implementations. Higher impression share, lower disapproval rates The Zalando-CI teamwork produced huge, measurable results. Zalando saw a growth in products available at auction. “This rise can be attributed to an effective combination of improved data behind the ads and our internal bidding tools that picked up the increase in available PLA traffic volume. The result: more shoppers see more relevant products they were looking for,” Sercu says. CI’s actions have contributed to Zalando’s quarter-on-quarter revenue growth from sales driven by Product Listing Ads by 14.4 percent, along with lower downtime by continuously reducing the number of products being disapproved. More insights, knowledge and plans Zalando is extending their partnership with CI to other European markets. CI uses the knowledge gained from current tests and experiments to help Zalando improve data feeds in these markets. The two partners meet regularly for data-quality workshops to exchange insights, knowledge and plans. Together with the CI team, the online fashion company will continue to study trends, data insights and ensure that Zalando delivers the best results for its customers. “CI helps us to innovate and be a ‘first mover’ when it comes to product-data quality.” —Lukas Sercu, SEA team manager, Zalando About Channel Intelligence A subsidiary of Google, Channel Intelligence (CI) helps companies sell more by bringing retailers and consumers together through optimised online experiences. CI’s Shopping Engine Services increase return on ad spend. To learn more, visit www.channelintelligence.com

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