Predicting Investor Behavior Using AI
Artificial Intelligence | 5/19/2025
At Takween Tech, we built a predictive AI model to analyze investor behavior and identify what truly influences investment decisions.
Our goal was to help fintech platforms move beyond assumptions and personalize user engagement using data. By analyzing investor attributes like age, marital status, income, and experience, the model predicted who’s more likely to invest.
The project used anonymized KYC data and applied machine learning to detect patterns and behavioral signals — with full respect to privacy and ethical AI standards. Over 20 variables were considered and normalized for training.
Key takeaways:
- Employed investors, especially in finance, were most active.
- Younger profiles showed higher engagement.
- Mid-net-worth investors were more likely to act than high-net-worth profiles.
- Gender and marital status also played a role in behavior.
We’ve summarized the insights, methodology, and results in a visual report available for download and sharing.