A Tool for Detecting Neobanking Users

The banking sector is experiencing significant disruption due to technological advancements and evolving customer demand. This study analysed over 2000 banking and/or neobanking users across 28 countries. A multinomial logit model was applied to examine three user characteristics groups: demographics, banking habits, and neobanking habits. Several interesting effects were found. Higher-educated and single users are more likely to use neobanks, while self-employed and lower-income users are less likely. Neobank users prioritize affordability, availability, and speed, while traditional bank users prioritize stability and personal interaction. We have developed a tool to identify clients likely to leave traditional banks, fully or partially, with high reliability. Even partial outflows mean banks lose important services generating significant revenue to competitors. A crucial factor here is the single banking market, which eases switching between banks. Neobanks further reduce barriers, enhancing customer mobility. Moreover, opening an account with a neobank takes only minutes. The findings of this study provide valuable insights for banks and neobanks, allowing for a more comprehensive understanding of users’ characteristics that reflects current customer demand and enables new strategies to better address them.

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Publication Details

Journal
International Journal of Financial Studies
Published
2025-04-01
DOI
https://doi.org/10.3390/ijfs13020051
Primary Topic
FinTech, Crowdfunding, Digital Finance
Type
article
Field-Weighted Citation Impact
0.00
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article

A Tool for Detecting Neobanking Users

Aleksandra Amon, Timotej Jagrič
International Journal of Financial Studies
FinTech, Crowdfunding, Digital Finance
article

A Tool for Detecting Neobanking Users

Aleksandra Amon, Timotej Jagrič
article en

Abstract

The banking sector is experiencing significant disruption due to technological advancements and evolving customer demand. This study analysed over 2000 banking and/or neobanking users across 28 countries. A multinomial logit model was applied to examine three user characteristics groups: demographics, banking habits, and neobanking habits. Several interesting effects were found. Higher-educated and single users are more likely to use neobanks, while self-employed and lower-income users are less likely. Neobank users prioritize affordability, availability, and speed, while traditional bank users prioritize stability and personal interaction. We have developed a tool to identify clients likely to leave traditional banks, fully or partially, with high reliability. Even partial outflows mean banks lose important services generating significant revenue to competitors. A crucial factor here is the single banking market, which eases switching between banks. Neobanks further reduce barriers, enhancing customer mobility. Moreover, opening an account with a neobank takes only minutes. The findings of this study provide valuable insights for banks and neobanks, allowing for a more comprehensive understanding of users’ characteristics that reflects current customer demand and enables new strategies to better address them.

International Journal of Financial StudiesVol. 13(2)
University of Maribor (SI)
Openalex Percentile: Top 91%
FinTech, Crowdfunding, Digital Finance
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A Tool for Detecting Neobanking Users — Aleksandra Amon, Timotej Jagrič · International Journal of Financial Studies (2025) | TGRS Research Map | TGRS