retention-and-churn-killer — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited retention-and-churn-killer (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Engineer gym member retention: onboard new members into a habit, make results visible, catch and save members before they quit, and win back the ones who left.
Run these steps in order. Skip a step only when the owner already has that piece working.
Early usage predicts tenure: the more a member trains in their first month, the more they value the gym. Make the start a fixed sequence, not a hope. Produce the onboarding-runbook below with a named owner and date for each milestone.
Members churn when they stop feeling the outcome they bought.
Most members signal before they quit. Build the triggers below and the save play in save-and-winback-scripts.
Community raises switching cost: a member who would cancel a service will not abandon friends and a coach who knows them.
Run churn_model.js to show what a small churn improvement is worth in retained members, monthly and annual revenue, and LTV. The number usually dwarfs the cost of the onboarding and save work, making the case to invest in retention over more ads.
Self-contained Node script. Save as churn_model.js and run with node churn_model.js. No dependencies.
// Churn improvement impact. Edit inputs, then: node churn_model.js
const inputs = {
memberCount: 150,
currentChurnRate: 0.06, // monthly
improvedChurnRate: 0.04, // monthly, the target
avgMembershipValue: 159, // monthly dues per member
}
function model(i) {
const curTenure = 1 / i.currentChurnRate
const newTenure = 1 / i.improvedChurnRate
const lostNow = i.memberCount * i.currentChurnRate
const lostNew = i.memberCount * i.improvedChurnRate
const savedPerMonth = lostNow - lostNew
const monthlyRevenueRetained = savedPerMonth * i.avgMembershipValue
const annualRevenueRetained = monthlyRevenueRetained * 12
const ltvCur = i.avgMembershipValue * curTenure
const ltvNew = i.avgMembershipValue * newTenure
return {
curTenure, newTenure, savedPerMonth, monthlyRevenueRetained,
annualRevenueRetained, ltvCur, ltvNew,
}
}
const r = model(inputs)
const m = (n) => '$' + Math.round(n).toLocaleString('en-US')
console.log('Current avg tenure: ', r.curTenure.toFixed(1), 'months')
console.log('Improved avg tenure: ', r.newTenure.toFixed(1), 'months')
console.log('Members saved / month: ', r.savedPerMonth.toFixed(1))
console.log('Monthly revenue kept: ', m(r.monthlyRevenueRetained))
console.log('Annual revenue kept: ', m(r.annualRevenueRetained))
console.log('LTV per member: ', m(r.ltvCur), '->', m(r.ltvNew))Current avg tenure: 16.7 months
Improved avg tenure: 25.0 months
Members saved / month: 3.0
Monthly revenue kept: $477
Annual revenue kept: $5,724
LTV per member: $2,650 -> $3,975Read it: dropping monthly churn from 6 to 4 percent stretches average tenure from 17 to 25 months. On 150 members that keeps 3 members and $477 every month — about $5,700 a year — and raises each member's lifetime value by over $1,300. That return usually beats spending the same effort on more ads, which is why retention is a growth lever, not just a defense.
NEW-MEMBER ONBOARDING RUNBOOK. [FILL: gym name]
DAY 0 (owner: [FILL])
[ ] Welcome message, first session booked, plan sent
DAY 1 / FIRST SESSION (owner: [FILL])
[ ] Baseline scan, goal confirmed, a guaranteed early win
WEEK 1 (owner: [FILL])
[ ] 3 sessions attended, group intro, first measurable result
DAY 7 CHECK-IN (owner: [FILL])
[ ] Coach conversation: progress, obstacles, rebook
DAY 14 CHECK-IN (owner: [FILL])
[ ] Adjust plan, confirm habit forming
DAY 30 CHECK-IN (owner: [FILL])
[ ] Visible result reviewed, next goal set, referral ask if a win
DAY 60 / 100 (owner: [FILL])
[ ] Re-scan, celebrate progress, set the next milestoneSAVE (attendance dropped, still a member)
Trigger: no visit in [FILL: 7-10] days
TEXT: "Hi [name], missed you this week. Everything ok? Let's get your next
session on the calendar, what day works?"
CALL (if no reply): warm check-in, find the obstacle, rebook on the call.
IN-PERSON save: "What changed since you started? Let's fix that together."
WIN-BACK (already cancelled)
Week 1: "Hi [name], no pressure at all, just checking in. How are you doing
with your training since you left?"
Week 2: value or result story matching their old goal.
Week 4: "We're starting a new [challenge] on [date]. I'd love to have you
back, here's a spot if you want it: [link]."Leading indicators and the intervention for each:
The save conversation is curious, not desperate: find what changed, remove the obstacle, book the next session. Most "I want to quit" conversations are really "something got in the way," and the gym can fix the something.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.