Leading Open SaaS ecommerce platform and leading data feed optimization platform combine best-in-class capabilities to help merchants increase cross-channel sales of products everywhere people shop online

Joint functionality streamlines merchant integrations with 100+ global marketplaces and advertising channels, including Google, Facebook, Microsoft Ads, Amazon, Walmart, eBay, Wish, Pinterest and Snapchat, among others

BigCommerce , a leading Open SaaS ecommerce platform for fast-growing and established brands, today announced it has acquired Feedonomics in an asset purchase transaction. As a full-service data feed management platform, Feedonomics helps mid-market and enterprise merchants succeed on hundreds of advertising channels and marketplaces by ingesting, unifying, enhancing, and syndicating product data, and then syncing the resulting order data back into existing systems to streamline operations. 

“This acquisition reflects our strong belief that Feedonomics offers the world’s best product feed optimization and syndication solution for merchants looking to optimize their advertising and selling via search engines, ad networks, social media sites and marketplaces. On average, these channels represent ecommerce merchants’ largest non-direct source of sales and one of the largest spending line items,” said Brent Bellm, CEO at BigCommerce. “With Feedonomics, BigCommerce merchants maximize their omnichannel sales and return on ad spend (ROAS) by connecting, transforming and enhancing their product data across hundreds of global channels. The combination catapults our ability to deliver the world’s most powerful ecommerce platform for omnichannel selling.” 

In the US, ecommerce channel ad spending is expected to surpass $41 billion by the end of 2024, representing nearly 15% of all digital ad spend1. Together, BigCommerce and Feedonomics will provide merchants with the ability to seamlessly connect the dots between their back-end operations and their sales, marketing and advertising channels to drive higher ROAS, higher conversion and ultimately, higher GMV.

“Early on in our relationship with BigCommerce, we recognized the amazing synergy between our two organizations, and have found both companies to be completely aligned with respect to our visions, market approach and culture,” said Shawn Lipman, CEO at Feedonomics. “With BigCommerce servicing the critical layer of the ecommerce stack and Feedonomics providing best-in-class technology and service to list products everywhere, merchants of all sizes will be able to take advantage of our true omnichannel ecommerce offerings, to grow their businesses in an increasingly digital-first world.”

“When it comes to data feed manipulation and syndication, no company comes close to Feedonomics – we’ve found it to be the most flexible platform for manipulating data feeds,” said Ryan Garrow, director of partnerships and client solutions at Logical Position. “The joint technology of BigCommerce and Feedonomics, when partnered with an agency to help support feed optimization and management, creates a powerful solution to help improve the effectiveness of their search and ad spend and, in turn, achieve higher site traffic and revenue.”

“The efficiency with which Feedonomics accurately maps our product data to the Google schema and then extends that to other channels has driven significant business benefits for us in recent years,” said Ken Natori, president at Natori. “Combining Feedonomics’ data feed management with the omnichannel capabilities natively available in BigCommerce creates an outsized opportunity for businesses like Natori to leverage enriched product data directly within new marketplaces,/////

 BigCommerce (Nasdaq: BIGC), a leading Open SaaS ecommerce platform for fast-growing and established brands, today announced it has acquired Feedonomics in an asset purchase transaction. As a full-service data feed management platform, Feedonomics helps mid-market and enterprise merchants succeed on hundreds of advertising channels and marketplaces by ingesting, unifying, enhancing, and syndicating product data, and then syncing the resulting order data back into existing systems to streamline operations.