An E-Commerce Game-Changer: Introducing Data-Driven Customer Profiles from ShopFluency
Every marketer wants consumer data, and the Fortune 500 elites pay big bucks to have their data organized, analyzed, enhanced, and ultimately used to inform better business decisions. And with the growth of e-commerce and direct-to-consumer marketing during the pandemic, there has been a swell of demand for accessible, actionable consumer data among smaller companies. Today, with the launch of ShopFluency, e-commerce and DTC brands can finally have access to the kind of big data analytics previously reserved for the world’s largest companies.
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ShopFluency is a new division of Lift361, an industry-leading enterprise customer analytics consulting firm. Designed specifically to help DTC companies using platforms such as Shopify and WooCommerce, ShopFluency uses proprietary technology to enhance your existing customer data by appending it with household demographic data — resulting in clear, data-derived customer profiles.
“Being able to clearly articulate who your best customers are is a gray area for a lot of businesses. They may have the tools to do this broadly, but they can’t drill down to specifics,” says Seth Hirsch, co-founder of ShopFluency, “These very specific profiles can help to enhance your tactics, such as by driving better targeting with social ads and email, but also by bridging the gap to merchandising and customer services so everyone can be using the same language.”
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The importance of this data is demonstrated through research showing that 63% of customers think that companies should make “getting to know them better” a top priority, while only 23% of CMOs believe their companies are consistently delivering the right messages to the right audiences.
“We recently tested a new client using new look-alike audiences based on their customer profiles, and they were able to see a 36% reduction in cost per acquisition,” says Hirsch.
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