Judo Bank partners with GBST to drive online customer engagement
Judo Bank, Australia’s first challenger bank dedicated to small and medium sized enterprises (SMEs), has partnered with global financial technology provider GBST to improve online customer engagement and drive new applications with an interactive comparison calculator.
The Judo Bank calculator built by GBST’s Digital team compares their term deposit product with other providers, showing potential customers how much more they can earn with Judo Bank.
Judo Bank is the first financial provider in the term deposit market to offer a calculator that compares other institution’s interest rates and calculates the difference in interest earned.
The interactive, mobile responsive tool is built on GBST’s Equate calculation engine and integrates with Mozo’s Marketview API to compare term deposit products from other financial institutions.
Matt Hocking, Digital Implementation Specialist at Judo Bank, said, “We really want to help people understand how much more they can save with a Judo Bank term deposit, and a comparison calculator on our website is a fantastic way to achieve this. It engages users straight away with its user friendly and clear design and they can have the answers to their questions in less than 30 seconds.
“Working with GBST on this project has been a smooth and collaborative process. Their digital expertise combined with financial knowledge made them the ideal partner to build this tool for us.”
Denis Orrock, Head of APAC at GBST commented, “We are pleased to be supporting an exciting challenger brand like Judo Bank. Our Digital team are doing some great work helping financial brands, both the challengers and the established institutions, differentiate and engage customers online and this calculator is a great example of their expertise and creativity.”
GBST’s Equate calculators enable wealth managers, banks and financial advisers to engage customers with tools such as home loan comparisons, retirement modellers, investment calculators and client portfolio modelling.