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Abstract Financial education is widely promoted as a tool to improve household financial outcomes, yet rigorous evidence on whether it translates into measurable improvements in credit behaviour remains limited — particularly for financially vulnerable populations and digital delivery channels. This study evaluates the causal impact of targeted financial education on credit outcomes, financial literacy, and financial wellbeing among users of a financial technology platform. The intervention is implemented as a randomized controlled trial in which eligible FinTech app users are invited to participate. Baseline data on financial capability, financial wellbeing, and socio-demographic characteristics are collected through a survey and combined with administrative credit records. Approximately 8,000 participants are randomly assigned to one of four groups: three treatment groups receiving financial education through different digital delivery channels (in-app video learning, in-app chat, or virtual workshops) and a control group with standard app access only. Stratified block randomization based on gender, age, education, and baseline credit score ensures balance across experimental arms. The primary outcomes are changes in credit score and access to affordable credit. Secondary outcomes include: financial literacy, financial wellbeing and financial resilience. These outcomes are measured using administrative credit data and follow-up surveys conducted approximately three months after the intervention. The analysis estimates intent-to-treat and treatment-on-the-treated effects, and enables comparison of the relative effectiveness of alternative delivery channels. Financial education is widely promoted as a tool to improve household financial outcomes, yet rigorous evidence on whether it translates into measurable improvements in credit behaviour remains limited — particularly for financially vulnerable populations and digital delivery channels. This study evaluates the causal impact of targeted financial education on credit outcomes, financial literacy, and financial wellbeing among users of a financial technology platform. The intervention is implemented as a randomized controlled trial in which eligible FinTech app users are invited to participate. Baseline data on financial capability, financial wellbeing, and socio-demographic characteristics are collected through a survey and combined with administrative credit records. Approximately 9,000 participants are randomly assigned to one of four groups: three treatment groups receiving financial education through different digital delivery channels (in-app video learning, in-app chat, or virtual workshops) and a control group with standard app access only. Stratified block randomization based on age, education, and baseline credit score ensures balance across experimental arms. The primary outcomes are changes in credit score and access to affordable credit. Secondary outcomes include: financial literacy, financial wellbeing and financial resilience. These outcomes are measured using administrative credit data and follow-up surveys conducted approximately three months after the intervention. The analysis estimates intent-to-treat and treatment-on-the-treated effects, and enables comparison of the relative effectiveness of alternative delivery channels.
Last Published April 01, 2026 09:52 AM April 09, 2026 08:15 PM
Experimental Design (Public) This study is a four-arm randomized controlled trial conducted with users of a UK-based consumer credit score application. The objective is to evaluate the causal impact of targeted financial education on credit outcomes, financial literacy, and financial wellbeing among users experiencing short-term financial difficulty. Participants are recruited through an in-app invitation. Those who consent are included in the study and complete a baseline survey capturing financial capability, wellbeing, and socio-demographic characteristics. Participants are randomly assigned in equal proportions to one of four groups using stratified block randomization based on gender, age, education, and baseline credit score. The groups are: (i) a control group with standard app access; (ii) financial education delivered via in-app videos; (iii) financial education delivered via a structured in-app chat interface; and (iv) financial education delivered through a live virtual workshop. The educational content is standardized across treatment arms and covers credit management, budgeting, and financial wellbeing. Delivery channels are designed to provide comparable content and time commitment. Participants complete a follow-up survey approximately three months after the intervention. Outcomes are measured using survey data and administrative credit records. Engagement with the intervention is tracked to define compliance for secondary analyses. This study is a four-arm randomized controlled trial conducted with users of a UK-based consumer credit score application. The objective is to evaluate the causal impact of targeted financial education on credit outcomes, financial literacy, and financial wellbeing among users experiencing short-term financial difficulty. Participants are recruited through an in-app invitation. Those who consent are included in the study and complete a baseline survey capturing financial capability, wellbeing, and socio-demographic characteristics. Participants are randomly assigned in equal proportions to one of four groups using stratified block randomization based on age, education, and baseline credit score. The groups are: (i) a control group with standard app access; (ii) financial education delivered via in-app videos; (iii) financial education delivered via a structured in-app chat interface; and (iv) financial education delivered through a live virtual workshop. The educational content is standardized across treatment arms and covers credit management, budgeting, and financial wellbeing. Delivery channels are designed to provide comparable content and time commitment. Participants complete a follow-up survey approximately three months after the intervention. Outcomes are measured using survey data and administrative credit records. Engagement with the intervention is tracked to define compliance for secondary analyses.
Planned Number of Observations 8000 app users 9000 app users
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