Reproducible prompts, metrics, and paired business bootstrap for the NextLM B2B propensity benchmark
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Updated
Aug 24, 2026 - Python
Reproducible prompts, metrics, and paired business bootstrap for the NextLM B2B propensity benchmark
Example model for propensity to buy type of problems
A self-hosted BigQuery ML pipeline that predicts purchase propensity from GA4 events and pushes the result back to GA4 as a user property via the Measurement Protocol. Built for Google Ads remarketing. Consent-aware, cost-capped, and production-hardened.
Machine learning for predicting customer propensity to buy a product from an eshop. Forecast whether a user is likely to make a purchase on an e-commerce platform by analyzing their browsing and interaction patterns.
Qualificação preditiva de leads com ML. Prioriza leads com maior propensão de conversão e recomenda a próxima melhor ação para vendas.
Methods supporting Lavender et al. (2023). Sex- and length-dependent variation in migration propensity in brown trout. Ecology of Freshwater Fish.
Mini-étude de ML causal avec le dataset Criteo Uplift Prediction
run causal inference to detect the root causes
Lookalike Modelling to identify audiences more likely to click
End-to-end repeat-purchase prediction with a leakage-free temporal design, business-aligned ranking metrics, and an executable no-leakage guarantee.
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