Shopify changed the e-commerce landscape by making it easier for merchants to set up their websites quickly and affordably. A startup called Tapcart is now doing the same for mobile commerce.
The company, which has referred to itself as the “Shopify for mobile apps,” today powers the shopping apps for top brands, including Fashion Nova, Pier One Imports, The Hundreds, Patta, Culture Kings, and thousands more. Following a year of 3x revenue growth, in part driven by the pandemic, Tapcart is today announcing the close of a $50 million round of Series B funding, led by Left Lane Capital. Having clearly taken notice of Tapcart’s traction with its own merchant base, Shopify is among the round’s participants.
Other investors in the round include SignalFire, Greycroft, Act One Ventures, and Amplify LA.
Tapcart’s co-founders, Sina Mobasser and Eric Netsch have worked in the mobile app industry for years. Mobasser’s previous company, TestMax, offered one of the first test prep courses on iOS. At the same time, Netsch had more recently worked on the agency side to create mobile and digital experiences for brands. Together, the two realized the potential in helping online merchants bring their businesses mobile as quickly as they could go online with Shopify.
“Now, you can launch an app on our platform in a matter of weeks, where historically it would take up to a year if you wanted to custom build an app,” explains Mobasser. “And you can do it for a low monthly fee.”
Tapcart’s platform itself offers a simple drag-and-drop builder that allows anyone to create a mobile app for their existing Shopify store using tools to design their layout, customize the product detail pages, integrate checkout options, including product reviews, and even optionally add other branded content, like blogs, lookbooks, videos (including live video) and more. Everything is synced directly from Shopify to the app in real-time, so the merchant’s inventory, products, and collections are all updated. That’s a big differentiator from some rivals, which require duplicate sets of data and data transformation.