Member Purchase Frequency Calculation. Use when work requires frequency calculated from distinct valid orders; process the specified inputs using this method and verify the deliverable
Installs into .claude/skills of the current project.
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---
name: mk-375
description: "Member Purchase Frequency Calculation. Use when work requires frequency calculated from distinct valid orders; process the specified inputs using this method and verify the deliverable"
---
# MK-375 | Member Purchase Frequency Calculation
For ordinary chat, upload `packs/mk-375.md`, which includes the shared rules, this method, and required references
## Purpose
This skill delivers: **Frequency calculated from distinct valid orders**
Do not rank RFM results from different observation periods as if they shared one basis; separately verify the purpose and authorization for any list export or use
## Required inputs
Deidentified customer key, unique order key, valid dates, cancellation/refund rules, history coverage and observation window
## Method steps
1. Fix history/window, apply valid-order rules and deduplicate by customer/order key before counting item rows
2. F = distinct valid order keys per customer; deliver actual F, not COUNT of item rows
3. Retain order keys and period; partial history is not lifetime frequency
## Calculation and interpretation
First define members, valid orders, refunds, and the period; calculate frequency using orders rather than item rows
## Required output fields
| Order | Field | How to fill it in |
|---:|---|---|
| 1 | Variable | Original evidence, intermediate method results, or an explicit unknown; do not fabricate |
| 2 | Definition | Original evidence, intermediate method results, or an explicit unknown; do not fabricate |
| 3 | Source / unit | Original evidence, intermediate method results, or an explicit unknown; do not fabricate |
| 4 | Formula | Original evidence, intermediate method results, or an explicit unknown; do not fabricate |
| 5 | Input value | Original evidence, intermediate method results, or an explicit unknown; do not fabricate |
| 6 | Result | Original evidence, intermediate method results, or an explicit unknown; do not fabricate |
| 7 | Missing items / limitations | Original evidence, intermediate method results, or an explicit unknown; do not fabricate |
## Verification cases
**MK-375-A1 | Two item rows belong to the same valid order**
Expected: F = 1
## Method sources
Original file: 營業額提升主要關鍵(二)社群/會員經營技巧
Source locator: RFM
Source basis: extracted from course materials
Original URL: https://docs.google.com/presentation/d/1ZYpstuVAXGk9KdZt1QZm2OQ7ozpYYtfrBf0Xsy7kRx8/edit
English translation of source excerpt retained in the master sheet:
> Use RFM rules for segmentation to turn new customers (one purchase) into returning customers (more than one purchase)