Turn financial data and numbers into insights customers can actually understand – and act on – empowering them to take better control of their financial lives.
As well as providing value for your customers, statistics can help you personalise your offering with insights on spending habits and brand preferences.
Since Tink’s categorisation learns from individual preferences, the statistics become more relevant with time, deepening customers’ ties with your service.
Tink’s machine-learning models are constantly evolving based on customer preferences. Here are examples of insights you can provide using Tink’s statistics:
Automatic sorting of monthly expenses by category
Expenses over time
Breakdown of expenses per category
Real-time ‘left to spend’ insights based on expenses after monthly income
Projections for the future based on current spending habits