Segment customers and lists by 80/20 value, responsiveness, recency, frequency, and money.
NewMaintained
Automatic
◆Sales & GTM pack
Last verified 8/16/2026
What it changes
Passed 12 of 23 test cases with the skill, and 12 of 23 without it.
Without skill50%
With skill50%
Checks it passed that the model alone missed
The response outputs the '# Customer Value Segmentation' header.
The response explicitly lists missing data fields under data gaps.
The response identifies Responsiveness as a key scoring dimension.
and 7 more in the full report
9 fixed10 passed either way1 still failing3 broke
Pass-rate lift
0 pp
Tokens
+15%
Agent turns
0%
Response time
-13%
Model gemini-3.6-flashMeasured 8/16/2026v119 of 23 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 9
Prompt
When scoring customer accounts for 80/20 segmentation, our team only wants to measure Recency, Frequency, and Money. What additional dimension should be scored to evaluate how fast and strongly customers act?
What was checked, without and with the skill
Checked
Without skill
With skill
The response identifies Responsiveness as a key scoring dimension.
Missed
Passed
case-20 · gemini-3.6-flash · 8/16/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md95 linessingle file
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.