Evaluating only CréditoMX’s profile at its peak — without knowing the outcome — the model ranked Unit economics as the #1 likely cause. That’s exactly how it died.
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Documented cause
CreditoMX built an alternative credit scoring platform using mobile behavior, bill payment history, and social data to underwrite personal loans for the 60% of Mexicans without formal credit histories. The technology was legitimate — early models outperformed traditional bureau scores for this population segment. The company disbursed 45,000 loans totaling MXN 180M between 2017 and 2019. But default rates were structurally higher than modeled: mobile behavior data proved predictive only within narrow demographic bands, and the economic impact of COVID-19 pushed default rates to 22% — more than double the sustainable threshold. The Ley Fintech compliance costs added operational overhead that was irrecoverable at the current loan book size. The company ceased loan origination in 2021.
Lesson
“Thin-file credit models require 3-4 full economic cycles of data to validate. Lending at scale before you have cycle-tested default rates is an asset quality bet you are making with investor capital.”