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ML Outlet Churn Probability

Updated over 2 months ago

πŸ“‹ Summary:

What it is: A machine learning-generated predictive score indicating the likelihood that a specific wholesale outlet will stop ordering wine within the next 90 days.

How to use it:
β€’ Proactively identify high-risk accounts for targeted retention efforts
β€’ Prioritize sales and account management resources toward outlets with highest churn probability

Tip: Use values above 70% as a critical threshold for immediate account engagement and intervention strategies.

This summary was generated by AI.


πŸ“Š Quick Stats:

  • 🏷️ Type: float

  • πŸ“ Build Beyond Limits Group: Outlet Health Indicators


πŸ“ Description

The confidence level (0-100%) that an account will stop ordering within the next 90 days. Higher percentages mean higher risk. For example, 75% means the model is very confident this account is at risk of churning.


πŸ“ Build Beyond Limits Group

Outlet Health Indicators

πŸ”— Other Dimensions in this Group


βš™οΈ Technical Details

Type: float


ℹ️ Additional Details

  • Created: 2025-11-07T22:42:28Z

  • Key: [dimension].[ML Outlet Churn Probability]

  • ID: 2c1a22a7-67a7-465f-b8a5-babb655da69f


🏷️ Tags

  • ML Outlet Churn Probability

  • Outlet Health Indicators

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