insight
Evidence type: Insight i
Qualitative research is more exploratory, and uses a range of methods like interviews, focus groups and observation to gain a deeper understanding about specific issues - such as people’s experiences, behaviours and attitudes.
Quantitative research uses statistical or numerical analysis of survey data to answer questions about how much, how many, how often or to what extent particular characteristics are seen in a population. It is often used to look at changes over time and can identify relationships between characteristics like people’s attitudes and behaviours.
Despite the growth of digital banking and the rapidly expanding offering of money management applications, a substantial proportion of UK banking customers still incur overdraft and unpaid item charges. This can add up: 19 million people use their overdraft each year and firms made 2.3 billion in revenues from overdrafts in 2016.
FCA Occasional Paper 36 found that mandating automatic enrolment of consumers into text message alerts before they incur unarranged overdraft and unpaid item charges leads to a substantial reduction in these types of charges. Despite these considerable savings, few people had signed up for alerts of their own accord: 3-8% had registered for any type of alert by early 2015.
One way of addressing this issue is automatic enrolment. By now, all major UK banks have enrolled their customers to receive just-in-time unarranged overdraft and unpaid item alerts – either on the bank’s initiative or due to a policy that mandated enrolment by February 2018. Given the benefits from alerting consumers of impending charges, the FCA wanted to know whether alerts in addition to those already mandated would be beneficial.
Given the benefits of alerting consumers of certain impending charges, the FCA wanted to know whether alerts in addition to those already mandated would be beneficial.
This research was motivated by three questions:
The FCA worked in collaboration with two major UK retail banks to carry out a field trial involving over 1 million Personal Current Account (PCA) customers between November 2017 and April 2018. The field trial was structured into four systems of communication with customers (Trials A-D):
The main focus of the study was in the reduction of total overdraft charges, with a further aim to measure the wider impact of automatic enrolment. The authors looked at secondary outcomes to help identify why the alerts work, such as digital banking usage, balances, transaction patterns and the length of overdraft spells.
A telephone survey was also conducted with a sub-sample of participants (n=4,007), to gauge the effect of alerts on awareness of charges, measure participant’s attitudes towards automatic enrolment and to learn more about the actions that people take after receiving an alert.
Paul Adams and Jeroen Nieboer (FCA’s Behavioural Economics and Data Science Unit. Jeroen is also Visiting Fellow at the London School of Economics)
Darragh Kelly (Data Scientist at Google but completed this work whilst in the FCA’s Behavioural Economics and Data Science Unit)
Michael D. Grubb (Associate Professor of Economics at Boston College)
Matthew Osborne (Assistant Professor of Marketing in the Department of Management at the University of Toronto Mississauga, with a cross-appointment to the Marketing Area at Rotman School of Management)