BigCommerce, a global e-commerce platform, is partnering with payment processing technology provider, SecureNet Payment Systems, to provide its online retailers and merchants with payment processing solutions (view press release). As part of the agreement, SecureNet will service and support the payment processing and settlement requirements of approximately 25,000 BigCommerce merchants. Through the deal, BigCommerce aims to offer retailers and small businesses an integrated, cost-effective suite of tools to establish and manage online storefronts and accept online debit and credit payments.
“This integration will enable our merchants to leverage the extensive functionality, future innovations and economic advantages a direct processing partner like SecureNet provides. We are excited to deliver SecureNet’s platform to our merchants, giving their customers the ability to pay where, when and however they desire,” said Steven R. Power, chief revenue officer at BigCommerce. “At the same time, with research showing that accepting credit cards can more than double a company’s sales, this partnership is vital to our efforts to enable our customers to sell more.”
BigCommerce claims to have powered nearly USD1 billion in online sales for retailers.
Whitepapers
Related reading
Central banks best suited to issue digital currencies
By Aaran Fronda A recent report by the Official Monetary and Financial Institutions Forum (OMFIF) said that central banks rather than private ... read more
Instant payments: innovations inbound for corporates
In 2020, instant payments look set to continue their current trajectory to become the biggest trend in payments. While these schemes already offer numerous benefits to corporates, leveraging innovations such as APIs and request to pay will go some way to unlocking their full potential, argues Michael Knetsch
Obstacles exist for banks to meet ECB’s instant payments goal
The cost of joining instant payment platforms will be one of many hurdles banks and payment services providers must overcome to meet ... read more
Banks must be aware of “biases” in data used to train ML models
Financial institutions need to be conscious of biases in the historical data that is being used to train machine learning (ML) models, ... read more