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We found that people with more consistent grocery shopping habits are more likely to pay their credit card bills on time. These are people who tend to shop on the same day of the week, spend about the same amount each month, buy similar items across trips and take advantage of deals regularly.
We also found that what people buy predicts how they manage their finances. For example, shoppers who frequently purchase cigarettes or energy drinks are more likely to miss credit card payments. Those who often buy fresh milk or salad dressing tend to be more diligent about paying their bills.
In general, buying healthier but less convenient food predicted responsible payment behaviors. This was true even when we held consumer characteristics such as income, occupation, credit score and family size constant.
Building on those findings, we developed a credit scoring algorithm that scores people based on their grocery shopping habits along with traditional credit risk indicators. When we simulated approval decisions with this algorithm, we found that using grocery data could help lenders predict defaults more accurately while boosting their per-customer profits.
From: No credit score? A grocery list could be the next best thing.
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