Sending Out an SMS: Automatic Enrollment Experiments for Overdraft Alerts

ABSTRACT At‐scale field experiments at major U.K. banks show that automatic enrollment into “just‐in‐time” text alerts reduces unarranged overdraft and unpaid item charges 17% to 19% and arranged overdraft charges 4% to 8%, implying annual market‐wide savings of £170 million to £240 million. Incremental benefits from “early‐warning” alerts are statistically insignificant, although economically significant effects are not ruled out. Prior to the experiments, over half of overdrafts could have been avoided by using lower‐cost liquidity available in savings and credit card accounts. Alerts help consumers achieve less than half of these potential savings.

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Publication Details

Journal
The Journal of Finance
Published
2024-12-26
DOI
https://doi.org/10.1111/jofi.13404
Citations
3
Primary Topic
Mobile Crowdsensing and Crowdsourcing
Type
article
Field-Weighted Citation Impact
0.82

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article

Sending Out an SMS: Automatic Enrollment Experiments for Overdraft Alerts

Jeroen Nieboer, Michael D. Grubb, Jenny Shaw, Darragh Kelly et al.
3 citations
The Journal of Finance
Mobile Crowdsensing and Crowdsourcing
0.82
article

Sending Out an SMS: Automatic Enrollment Experiments for Overdraft Alerts

Jeroen Nieboer, Michael D. Grubb, Jenny Shaw, Darragh Kelly, Matthew Osborne
article en
3 citations

Abstract

ABSTRACT At‐scale field experiments at major U.K. banks show that automatic enrollment into “just‐in‐time” text alerts reduces unarranged overdraft and unpaid item charges 17% to 19% and arranged overdraft charges 4% to 8%, implying annual market‐wide savings of £170 million to £240 million. Incremental benefits from “early‐warning” alerts are statistically insignificant, although economically significant effects are not ruled out. Prior to the experiments, over half of overdrafts could have been avoided by using lower‐cost liquidity available in savings and credit card accounts. Alerts help consumers achieve less than half of these potential savings.

The Journal of FinanceVol. 80(1)
Boston College (US)
Economic and Social Research Council
Openalex Percentile: Top 17%
Mobile Crowdsensing and Crowdsourcing
0.82
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