Research Article: Causal Uplift Trees for Marketing Spend Optimization
Abstract
We propose variance-regularized uplift trees with budget-aware pruning. In a telecom A/B/C test, the method lifted incremental conversions by 5.2% at constant spend.
Cite this article
Bianchi, G. & Almeida, P. (2025). Research Article: Causal Uplift Trees for Marketing Spend Optimization. Research Explorations in Global Knowledge & Technology (REGKT), 3 (5). Retrieved from https://regkt.com/article.php?id=117&slug=causal-uplift-trees-for-marketing-spend-optimization