From sending special offers on restaurants to burger-loving current account holders to selling anonymised credit card records, banks are racing to monetise the huge troves of data they hold.
Wall Street trails Silicon Valley in using customer information to boost revenue but with tech giants such as Amazon and Google wading onto their turf with forays into lending and payments, banks, including JPMorgan, HSBC and Barclays, are moving to narrow the gap.
Mining mountains of trading data to predict stock moves; partnering with retailers on marketing campaigns; and using artificial intelligence (AI) tools to try and speed up credit decisions are some of the areas banks are focussing on.
In the digital era, knowing how much people earn, where they spend it, and what they buy – information some would not divulge to their closest confidants is valuable – particularly when banks’ earnings from lending and trading are under pressure from persistently low interest rates and tougher regulations.
“We are now seeing some amazing uses of data in banking, and the reason is pretty simple: they know their clients better than anyone, they have a name and address, information about what you are buying and once you have those you can do so much,” said Craig Macdonald, head of data monetisation at Accenture.
New EU rules
The surge in data mining is happening against a changed regulatory backdrop. New European Union (EU) rules introduced last year allow technology companies to access banks’ customer data if they have customers’ permission.
The EU has also toughened its privacy laws. Companies now have to get permission before they can collect and use personal information gleaned online from people living in the bloc.
But even with the extra protections, sensitive data is still at risk of being exploited because many people are not aware of how they can shield themselves.
Less than a third of Europeans were aware of all their data rights, and only 13 per cent said they read privacy statements fully, according to a poll this year of 27,000 EU citizens.
Banks do not disclose how much they earn from analysing and marketing customer data or other ways in which they monetise the information they hold. But, in comparison to the billions earned from lending and trading, the amounts generated are likely to be small.
“If there was a gold mine people would probably have found it by now,” said Benjamin Ensor, an analyst at Forrester.
“But if you can generate some marginal incremental revenue at relatively little cost why wouldn’t you do that?”
Tie-ups with retail firms is one way banks are monetising their data. Customers of Britain’s Lloyds and Spain’s Santander can get special offers from a range of retailers after the banks joined a digital loyalty scheme run by US-based data advertising firm Cardlytics.
The scheme uses spending data to give customers discounts at shops they already frequent or which are in their neighbourhood. So, burger-aficionados get deals at local burger restaurants and fashion fans get ads about discounts at clothing stores.
The banks get a percentage of the fee charged by Cardlytics for running the campaign. Cardlytics gets insights on consumer behaviour which help the retailers tailor and fund the offers and discounts.
Cardlytics, Lloyds and Santander declined to comment on what percentage of the fee banks get.
“We leverage transaction data that’s created every time the card is tapped, every time a direct debit is made by a customer, in an anonymised way,” said Campbell Shaw, London-based head of bank partnerships at Cardlytics.
“We only need to know its customer 12345, we don’t need to know the name of the customer for any reason.”
Bank clients have to enrol in the rewards programme. A spokesman for Santander said their customer spending data was only shared with Cardlytics if customers choose to receive retail offers.
The bank said the information was shared on an anonymised basis, meaning the customer’s name is replaced by a unique identifying number.
Ashok Vaswani, global head of consumer and payments at Barclays, told attendees at AI conference CogX in London this month that the bank would crunch data in an ethical way.
“We are going to do it in a transparent and understandable fashion,” he said.
“If I can’t explain it [to a customer] I’m not going to offer it.”