Data solutions built for Financial Services
Retain and acquire customers based on a superior understanding of their financial services behaviour and characteristics.
Your choice of relevant data
Finance Segments: We have 42 segments relating to finance products and general wealth. These include wealth indicators, price sensitivity, likelihood of financial stress, and product profitability.
Real Estate Transactions: We’ve connected CoreLogic data on over 8 million residential properties including listing activity (movers), estimated values & property characteristics.
Real Estate Behaviour: Access consumer audiences across all stages of the property ownership lifecycle – each with varying degrees of wealth, life events, and buying habits.
Retail Transactions: We work with several different institutions, including banks and payment schemes to access over 2.5 billion card transactions that uncover purchasing behaviour.
Automotive Segments: We have over 250 segments down to the make and model of car that each of 8.5 million households are likely to own.
Your choice of relevant data
Finance Segments: We have 42 segments relating to finance products and general wealth. These include wealth indicators, price sensitivity, likelihood of financial stress, and product profitability.
Real Estate Transactions: We’ve connected CoreLogic data on over 8 million residential properties including listing activity (movers), estimated values & property characteristics.
Real Estate Behaviour: Access consumer audiences across all stages of the property ownership lifecycle – each with varying degrees of wealth, life events, and buying habits.
Retail Transactions: We work with several different institutions, including banks and payment schemes to access over 2.5 billion card transactions that uncover purchasing behaviour.
Automotive Segments: We have over 250 segments down to the make and model of car that each of 8.5 million households are likely to own.
Use cases
- Retention: Identify customers likely to churn before they switch. For example, are they likely to be refinancing their mortgage? Will they revolve a credit card balance and seek a better interest rate?
- Cross-sell: Identify customers in the market for complementary products and services. For example, are they saving for a home loan but not using your savings or term deposit products?
- Acquisition: Identify audiences with a higher likelihood to be interested in your banking and financial-related products and services and prospective customers who are high value and loyal – but circumstances have motivated them to review their provider.
- Insights: Identify how a greater understanding of customers, consumers, and the market can help develop strategy and tactics to optimise your marketing spend and product development.
Use cases
- Retention: Identify customers likely to churn before they switch. For example, are they likely to be refinancing their mortgage? Will they revolve a credit card balance and seek a better interest rate?
- Cross-sell: Identify customers in the market for complementary products and services. For example, are they saving for a home loan but not using your savings or term deposit products?
- Acquisition: Identify audiences with a higher likelihood to be interested in your banking and financial-related products and services and prospective customers who are high value and loyal – but circumstances have motivated them to review their provider.
- Insights: Identify how a greater understanding of customers, consumers, and the market can help develop strategy and tactics to optimise your marketing spend and product development.
Implementation
All of our data is available where and when you need it. Learn more about our privacy-first-based approach to data onboarding and activation.
Implementation
All of our data is available where and when you need it. Learn more about our privacy-first-based approach to data onboarding and activation.
Got Questions?
We have all the answers! Well, maybe not all but we’ll do our best to help.
