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
Qualificação preditiva de leads com ML. Prioriza leads com maior propensão de conversão e recomenda a próxima melhor ação para vendas.
Mini-étude de ML causal avec le dataset Criteo Uplift Prediction
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.
Methods supporting Lavender et al. (2023). Sex- and length-dependent variation in migration propensity in brown trout. Ecology of Freshwater Fish.
End-to-end repeat-purchase prediction with a leakage-free temporal design, business-aligned ranking metrics, and an executable no-leakage guarantee.
run causal inference to detect the root causes
Lookalike Modelling to identify audiences more likely to click
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