Oink, provider of innovative safe youth payments technology, has announced that it has teamed with WorldPay US to increase its strategic 2014 merchant acquisition plans within the teen market.
The WorldPay payment processing platform is used for in-person credit and debit transactions, online and mobile payments. Oink’s relationship with WorldPay will bring the safe youth payments technology to the WorldPay merchant network and facilitate integrations into teen focused retail websites and shops.
“Integrating Oink into our payment processing offerings is a great addition to the current services that WorldPay offers,” said Tony Catalfano, President and CEO, WorldPay US. “We’re excited to work with Oink, bringing their COPPA-compliant solution to our clients worldwide and expanding their revenue opportunities within the teen market.”
“WorldPay is an excellent partner for Oink,” said Dr. Jo Webber, CEO & Founder of Oink. “Their expertise with in-person, online and mobile payments fits our strategy perfectly, and we’re excited to reach their merchant base with our safe youth transactions solution.”
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