80/20 Customer Value RFM
Use this skill to find the customers, buyers, leads, or accounts that deserve
disproportionate attention. It is based on 80/20 Sales and Marketing by Perry
Marshall.
Source Traceability
Primary source: 80/20 Sales and Marketing, chapters 12, 19, 22, and 23.
- Chapter 12 covers premium buyer behavior and hidden customer value.
- Chapter 19 covers removing problem customers and weak performers.
- Chapter 22 covers choosing the few measurements that matter.
- Chapter 23 covers recency, frequency, money, and customer-value measurement.
Workflow
1. Define The Customer Set
Capture:
- Customer or lead population.
- Time window.
- Revenue, profit, or strategic value metric.
- Available behavioral data.
- Follow-up capacity.
If the data is weak, create a practical scoring plan instead of pretending the
segmentation is precise.
2. Score RFM And Responsiveness
Score each customer or segment:
- Recency: how recently they acted or bought.
- Frequency: how often they act or buy.
- Money: how much they spend or can spend.
- Responsiveness: how quickly and strongly they respond.
- Fit: whether they match the desired customer profile.
3. Segment The List
Use these groups:
- Best buyers: high recent value, repeat behavior, strong fit.
- Expansion candidates: good fit with evidence of premium potential.
- Nurture: fit is plausible but timing or proof is weaker.
- Low-value tail: low fit, low value, high effort, or high support burden.
- Problem customers: negative margin, toxic behavior, or strategic drag.
4. Decide Treatment By Segment
Recommend different action by segment:
- Personal outreach.
- Premium offer.
- Referral request.
- Automated nurture.
- Requalification.
- Sunset, prune, or fire.
Output Format
# Customer Value Segmentation
## Data Available
- Population:
- Time window:
- Fields available:
- Data gaps:
## RFM Segments
| Segment | Recency | Frequency | Money | Responsiveness | Action |
|---------|---------|-----------|-------|----------------|--------|
## 80/20 Findings
- Top customers:
- Hidden expansion group:
- Low-value tail:
- Problem customers:
## Recommended Actions
1. [Action]
2. [Action]
3. [Action]
Quality Bar
- Do not treat all customers as equally valuable.
- Do not use revenue without considering effort, margin, or fit.
- Do not recommend firing customers without a clear reason.
- Separate premium potential from current spend.
- State what data would improve the segmentation.
Source: hashgraph-online/awesome-codex-plugins → plugins/LVTD-LLC/skills/skills/eighty-twenty-customer-value-rfm/SKILL.md
1---2name: eighty-twenty-customer-value-rfm3description: Segment customers and lists by 80/20 value, responsiveness, recency, frequency, and money. Use when identifying best customers, prioritizing follow-up, finding high-value buyers, pruning low-value accounts, or deciding what customer data to measure.4---567# 80/20 Customer Value RFM89Use this skill to find the customers, buyers, leads, or accounts that deserve10disproportionate attention. It is based on 80/20 Sales and Marketing by Perry11Marshall.1213## Source Traceability1415Primary source: 80/20 Sales and Marketing, chapters 12, 19, 22, and 23.1617- Chapter 12 covers premium buyer behavior and hidden customer value.18- Chapter 19 covers removing problem customers and weak performers.19- Chapter 22 covers choosing the few measurements that matter.20- Chapter 23 covers recency, frequency, money, and customer-value measurement.2122## Workflow2324### 1. Define The Customer Set2526Capture:2728- Customer or lead population.29- Time window.30- Revenue, profit, or strategic value metric.31- Available behavioral data.32- Follow-up capacity.3334If the data is weak, create a practical scoring plan instead of pretending the35segmentation is precise.3637### 2. Score RFM And Responsiveness3839Score each customer or segment:4041- Recency: how recently they acted or bought.42- Frequency: how often they act or buy.43- Money: how much they spend or can spend.44- Responsiveness: how quickly and strongly they respond.45- Fit: whether they match the desired customer profile.4647### 3. Segment The List4849Use these groups:5051- Best buyers: high recent value, repeat behavior, strong fit.52- Expansion candidates: good fit with evidence of premium potential.53- Nurture: fit is plausible but timing or proof is weaker.54- Low-value tail: low fit, low value, high effort, or high support burden.55- Problem customers: negative margin, toxic behavior, or strategic drag.5657### 4. Decide Treatment By Segment5859Recommend different action by segment:6061- Personal outreach.62- Premium offer.63- Referral request.64- Automated nurture.65- Requalification.66- Sunset, prune, or fire.6768## Output Format6970```markdown71# Customer Value Segmentation7273## Data Available74- Population:75- Time window:76- Fields available:77- Data gaps:7879## RFM Segments80| Segment | Recency | Frequency | Money | Responsiveness | Action |81|---------|---------|-----------|-------|----------------|--------|8283## 80/20 Findings84- Top customers:85- Hidden expansion group:86- Low-value tail:87- Problem customers:8889## Recommended Actions901. [Action]912. [Action]923. [Action]93```9495## Quality Bar9697- Do not treat all customers as equally valuable.98- Do not use revenue without considering effort, margin, or fit.99- Do not recommend firing customers without a clear reason.100- Separate premium potential from current spend.101- State what data would improve the segmentation.102103---104105**Source:** [`hashgraph-online/awesome-codex-plugins`](https://github.com/hashgraph-online/awesome-codex-plugins) → `plugins/LVTD-LLC/skills/skills/eighty-twenty-customer-value-rfm/SKILL.md`