📋 Summary:
What it is: A dimension tracking the number of wholesale outlet orders placed in the last 180 days, providing a snapshot of recent purchasing activity.
How to use it:
• Filter distributor reports to identify most active retail and on-premise outlets
• Segment analysis to compare outlet engagement levels across different sales territories
Tip: When analyzing outlet activity, select cumulative ranges (e.g., 90-day AND 180-day values) to get a comprehensive view of recent purchasing behavior.
This summary was generated by AI.
📊 Quick Stats:
🏷️ Type: int
📁 Build Beyond Limits Group: Outlet Health Indicators
📝 Description
Number of orders placed in the last 6 months. Used to measure recent activity level.
📁 Build Beyond Limits Group
Outlet Health Indicators
🔗 Other Dimensions in this Group
ML Outlet Churn Probability
ML Outlet Predicted Churn
ML Outlet Risk Category
Outlet Avg Cases Per Order
Outlet Avg Days Between Orders
Outlet Cases 9L Last 180 Days
Outlet Category Diversity
Outlet Days Since Last Order
Outlet Exclusion Reason
Outlet Has Declining Volume
Outlet Has Extended Gap
Outlet Has Low Diversity
Outlet Lifetime Cases 9L
Outlet Lifetime Order Count
Outlet M Score
Outlet Order Frequency Trend 180
Outlet Order Frequency Trend 365
Outlet Order Frequency Trend Ratio 180
Outlet Primary Risk Reason
Outlet Product Diversity
Outlet R Score
Outlet RFV Category
Outlet RFV Segment
Outlet SKU Diversity Last Year
Outlet Style Diversity
Outlet Tenure Months
Outlet Top Category
Outlet Top Category Concentration
Outlet Top Product
Outlet Top Product Concentration
Outlet V Score
Outlet Volume Trend 180
Outlet Volume Trend 365
Outlet Volume Trend Ratio 180
⚙️ Technical Details
Type: int
ℹ️ Additional Details
Created: 2025-11-08T12:32:00Z
Key:
[dimension].[Outlet Orders Last 180 Days]ID:
5dd9abe9-97ae-49a0-a7d7-3603893c6198
🏷️ Tags
Outlet Health Indicators
Outlet Orders Last 180 Days