Categorisation as a Service (CaaS)

Automating categorisation of transaction data to make better, more informed decisions at every step of the credit lifecycle.

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Creating value for you

Experian’s Categorisation as a Service (CaaS) automates the analysis of bank and credit card transactions instantly. Driven by a suite of machine-learning algorithms, it quickly categorises up to 12-months of a customer’s bank or credit card transactions into one of 180 different income and expenditure categories.

Automatically categorising transactional data saves you time, and gives you invaluable insights into the financial well-being of your customers. It helps you understand a customer’s income, expenditure and credit behaviour, providing a detailed picture of their financial circumstances and resilience. Available for use in batch on the cloud or in real-time as part of an Open Banking data exchange,  it provides access to verified income and expenditure data to help you make better informed decisions.

The service is the only solution in the UK which currently categorises both bank and credit card transaction data enabling you get a complete picture of a customer’s income, expenditure and credit commitments.

Reduce underwriting time and improve the accuracy of your decisions

CaaS enables you to automate the analysis of large volumes of transaction data instantaneously allowing you to focus on understanding your customer’s financial behaviour. It saves time, increase efficiencies and provides additional insight to inform decisions.

Customers benefit from a better, quicker, more personalised experience as you’ll be making decisions based on an accurate view of their finances, with an understanding of what they earn, spend and save and what they can afford to repay when they borrow.

CaaS can be used to spot vulnerabilities changes in financial behaviour providing you with insight for you can proactively manage your customers, identify their needs and help them avoid falling into debt.

Pre-qualify eligibility for products and personalise services to drive better outcomes for customers

Accept more applications from a better understanding of an individual’s personal finances

Upsell and cross-sell services to existing customers, or extend their credit limits responsibly using your understanding of their financial behaviour

Identify vulnerabilities and manage customers proactively to reduce delinquencies and debt

Automate the secure sharing of verified income and expenditure data to improve customer experience and enhance your understanding of risk

Reduce underwriting time and accelerating decision making without increasing risk

Find out how you could be making smarter customer decisions in just 48 hours’ time

Man looking at a mobile phone

Blog: Giving lenders the true picture with account categorisation

CaaS works by automatically analysing and categorising a customer’s bank or credit card transactions to identify patterns in their financial behaviour. Data may be shared in real-time by a customer, with their consent using Open Banking or undertaken by a bank using their own customer’s data to proactively manage their relations with customers.

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Couple discussing finances with an advisor

Blog: Identifying customer vulnerabilities using bank transaction data

At Experian we are always looking to use our data for good, in a recent investigation into better ways to identify and protect the vulnerable we found that over half (53%) of adults in the UK show some sign of potential financial vulnerability, but only 3% of these are recognised by service providers according to a 2021 FCA survey. CaaS helps organisations understand and manage their customers better than ever before. More importantly, it lets them do the right thing, and provide early bespoke support for the potentially vulnerable.

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Experian Caas powers better, more informed credit decisions. Let’s talk.

To understand how our Categorisation as a Service (CaaS) solution can help you make smarter customer decisions, fill in the form below. One of our specialists will be in touch.

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