Today's consumers are more comfortable purchasing big-ticket items online. Wayfair, an online home furnishings and decor company, turned to programmatic bidding on the Google Display Network to reach new high-value customers efficiently and at scale. The results are in: cost-per-acquisition has decreased by 75%.
Acquire new customers as efficiently as possible
Implemented Smart Bidding to programmatically bid for customers
Used range of targeting types on Google Display network, including in-market audiences, keyword contextual targeting and similar audiences
Lowered cost-per-acquisition by 75%
Founded in 2002, Wayfair has become one of the world’s largest online destinations for home furnishings and decor. With over seven million products from over 7,000 suppliers, Wayfair aims to help people find the perfect product at the right price. Over the last decade, the company saw that more and more, customers were purchasing home furnishings and decor online and across devices. Not only are people starting to feel more comfortable about purchasing big-ticket items online, current customers are also spending more, making each person increasingly more valuable.
While Wayfair has used the Google Display Network to help grow its brand through traditional display campaigns, the company decided to make a strategic shift to programmatic bidding to capitalize on changing buying behaviors and reach new customers more efficiently.
The shift to programmatic bidding
Understanding where potential customers are in their purchase journeys and connecting with them with the right message and the right bid is crucial to Wayfair's success. To that end, Wayfair uses a range of targeting types, including In-Market Audiences, Keyword Contextual Targeting, and Similar Audiences, to reach new customers, and it uses remarketing to reconnect with existing customers. Wayfair quickly learned that addressing all of the relevant customer signals, such as time of day or location, while manually optimizing its display campaigns could be difficult and time-consuming.
"Programmatic bidding on the GDN has enabled us to find some of our highest value prospects."
"There are all these signals you need to account for with display: slot on page, publisher, context, audience signals. It can be difficult to manually bid against the infinite variables and combinations," says Matt Herman, Associate Director of Marketing at Wayfair.
Maximizing efficiency and scale with Smart Bidding
Wayfair needed a way to scale its efforts and reach high-value customers efficiently. In August 2013, the company turned to Conversion Optimizer to automate display campaign bids and reach customers at the right moments in the path to purchase. Using historical information about Wayfair's campaigns, Smart Bidding optimizes performance by looking for auctions that are most likely to convert, bidding higher on those auctions and lower on less valuable auctions in real-time. Google's programmatic bidding solution takes into account customer signals such as device, user location, or time of day to intelligently reach people where and when they're most likely to respond and buy. This helps Wayfair reach new and high-value customers at the right moment at the right price. "Smart Bidding helps us programmatically choose the best bid and drive the most scale possible at our targets. That means we don't have to worry about optimizing elements like time of day, slot on page and product value," says Herman.
Switching to Smart Bidding and programmatic bidding helped Wayfair decrease cost-per-acquisition by 75%.
"Conversion Optimizer helps us programmatically choose the best bid and drive the most scale possible at our targets."
Future success with the evolving online shopper
Going forward, Wayfair says it will continue using Smart Bidding to efficiently reach the full funnel of evolving online home decor shoppers. "Programmatic bidding on the GDN has enabled us to find some of our highest value prospects," says Herman. "We are continuing to expand Google Display campaigns across all of our brands, investing significant resources to max out the potential scale."