maks-sh/scikit-uplift
:exclamation: uplift modeling in scikit-learn style in python :snake:
This tool helps marketing specialists, CRM managers, or business analysts identify which customers are most likely to respond positively to a marketing campaign or intervention, and only when treated. It takes historical customer data, including treatment (e.g., received a promotion) and outcome (e.g., made a purchase), to predict the 'uplift' or incremental impact of future actions. The output helps you focus your efforts on the customer segments where your campaigns will have the most significant positive effect.
800 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to optimize marketing spend by targeting only the customers who are truly influenced by your campaigns, rather than those who would have acted anyway or those who might be negatively affected.
Not ideal if you are looking for a simple predictive model to forecast overall customer behavior without needing to understand the causal impact of specific interventions.
Stars
800
Forks
103
Language
Python
License
MIT
Category
Last pushed
Oct 21, 2023
Commits (30d)
0
Dependencies
6
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