Platform: Enolytics DTC
Summary:
What it calculates: Counts how many customers experienced a change in their RFM (Recency, Frequency, Monetary) status during your selected time period. This captures the dynamic nature of your customer base — people moving between segments like "3 Month Buyer" to "6 Month Buyer" or shifting spending tiers as their purchasing patterns evolve.
Variants:
• CP: Current period
• PP: Prior period
• Δ: Change between periods
• Δ%: Percentage change
How to use it:
• Track customer movement trends to spot whether more customers are becoming more or less engaged over time
• Identify periods of high customer status volatility that might correlate with marketing campaigns, seasonal changes, or business events
• Use alongside specific RFM segment reports to understand not just where customers are, but how actively they're moving between segments
Tip: High numbers aren't necessarily good or bad — what matters is the direction. Are customers generally moving toward higher-value segments or away from them? The delta between periods will tell that story.
Note: Parts of this article were generated with AI and may not be perfect. If something looks off or could be better, click the 😞 below — it opens a quick chat so you can let us know.
Quick Stats:
Type: Calculated metric
Build Beyond Limits Group: γ RFM Status Changes
RFM Status Changes CP
🔢 Formula
m₁
with:
m₁ = Count([Contact Rfm History].[Contact Eid])
WHERE
[Contact Rfm History].[Rfm Change Date] ≥ 'Start of Current Period'
AND [Contact Rfm History].[Rfm Change Date] ≤ 'End of Current Period'
Output Format: #,##0
Formula Last Updated: 2025-03-25T12:20:03Z
ℹ️ Additional Details
Key:
[calculation].[RFM Status Changes CP]ID:
09a96961-12ba-4932-81ff-af4960b757a2
🏷️ Tags
Contact Eid
RFM Status Changes CP
Rfm Change Date