Uplift modeling Machine Learning; Probabilistic / Bayesian AI
noun phrase
Definition: A predictive modelling technique that directly estimates the incremental effect of a treatment, intervention, or action on an outcome, typically by comparing treatment and control conditions and identifying individuals or groups most likely to respond because of the intervention [Moraes et al. 2023].
Example in context: “Marketing uplift modeling, also known as incremental modeling or true-lift modeling, aims to measure the causal impact of these interventions by identifying which customer segments will be positively influenced by which specific marketing actions.” [Wang et al. 2025]
Synonyms: incremental modeling; true lift modeling
Related terms: treatment effect modeling; causal machine learning; uplift score; personalized intervention modeling