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Predictive retention model for an EdTech firm

  • Elastic Net
  • Python
  • Regression
  • Statistics

Boxplot determined the key engagement drivers behind an EdTech firm’s “AB Score,” measuring the likelihood of license renewals. We used Elastic Net regression to evaluate 39 engagement metrics, providing interpretable, diagnostic insights rather than pure prediction. This algorithm successfully handled multicollinearity and prevented overfitting, resulting in a stable, generalizable model. The analysis identified that premium actions, past renewals, school tiers, and specific sales personnel were the strongest retention drivers.

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