📋 Summary:
What it is: A dimension tracking the typical number of days between wholesale orders for a specific outlet, revealing the account's natural purchasing rhythm.
How to use it:
• Filter distributors and retailers to identify accounts with consistent, predictable ordering patterns
• Segment accounts by ordering frequency to optimize sales strategy and inventory planning
Tip: Lower values (fewer days between orders) indicate more frequent purchasers, while higher values suggest less consistent buying behavior.
This summary was generated by AI.
📊 Quick Stats:
🏷️ Type: float
📁 Build Beyond Limits Group: Outlet Health Indicators
📝 Description
The typical number of days this account waits between orders. For example, 45 means they typically order every 45 days. This helps us understand their natural ordering rhythm.
📁 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 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 Orders Last 180 Days
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: float
ℹ️ Additional Details
Created: 2025-11-07T22:50:35Z
Key:
[dimension].[Outlet Avg Days Between Orders]ID:
08b8e624-a6c7-402b-a123-adf7c6ab1c84
🏷️ Tags
Outlet Avg Days Between Orders
Outlet Health Indicators