Platform: Enolytics DTC
Summary:
What it is: Contact Avg Days Between Orders shows the average number of days between all completed paid orders for each customer across their entire purchase history, revealing their natural buying rhythm.
How to use it:
β’ Identify buying patterns: Spot customers with consistent 60-day cycles versus sporadic buyers, helping you time marketing touchpoints when they're most likely to purchase again.
β’ Segment for targeted campaigns: Group customers by purchase frequency (frequent buyers with <30 days vs. seasonal buyers with 120+ days) to create more relevant messaging and offers.
Tip: A decreasing trend in this metric signals increasing purchase frequency and growing engagement, while sharp increases may indicate customers drifting away and needing re-engagement campaigns.
Note: Parts of this article were generated with AI and may not be perfect. If something looks off or could be better, click the π below β it opens a quick chat so you can let us know.
Quick Stats:
Type: float
Build Beyond Limits Group: Contact Segmentation
π Description
The average number of days between all completed paid orders for the contact across their entire purchase history. Calculated by dividing the total days between first and last order by the number of order intervals. A decreasing trend indicates increasing purchase frequency, while an increasing trend may signal declining engagement. This metric is particularly useful for identifying natural buying cycles and optimal contact timing for marketing campaigns.
π Build Beyond Limits Group
Contact Segmentation
π Other Dimensions in this Group
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βοΈ Technical Details
Type: float
Format: #,##0
βΉοΈ Additional Details
Created: 2026-02-14T18:59:50Z
Key:
[dimension].[Contact Avg Days Between Orders]ID:
972ecbad-2f5c-5f9e-866d-f3675bf84c40
π·οΈ Tags
Age
Contact Avg Days Between Orders
Contact Segmentation
