Guides analysis of churn rates, identification of at-risk customers, retention tactics, and win-back campaigns for bootstrapped SaaS.
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A 5% reduction in churn can increase profitability by 25-95%. This skill helps you understand why customers leave, build systems to keep them, and win back the ones you've lost.
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A 5% reduction in churn can increase profitability by 25-95%. This skill helps you understand why customers leave, build systems to keep them, and win back the ones you've lost.
Monthly Churn Rate = (Customers lost this month / Customers at start of month) × 100
Example: 5 cancellations / 100 customers = 5% monthly churn
Annual Churn Rate = 1 - (1 - monthly churn rate)^12
Example: 1 - (1 - 0.05)^12 = 46% annual churn (you're replacing half your base every year)
| Monthly Churn | Annual Churn | Assessment |
|---|---|---|
| < 2% | < 22% | Strong — you have product-market fit |
| 2-5% | 22-46% | Normal for early stage — room to improve |
| 5-8% | 46-63% | Concerning — retention is your #1 priority |
| > 8% | > 63% | Critical — fix this before spending on growth |
You don't need complex health scoring software. Track these signals:
For your first 100 customers, you can do this manually. Weekly:
Customer Health Review:
- [ ] Check login activity for your top 20 accounts (by revenue)
- [ ] Flag any account that hasn't logged in for 7+ days
- [ ] Check for open support tickets older than 48 hours
- [ ] Review any cancellations from the past week — email each one
- [ ] Note any accounts approaching renewal date (act 14 days before)
Most churn happens in the first 30 days. If a customer doesn't reach your "aha moment" quickly, they're gone.
(See onboarding for detailed first-run guidance.)
After onboarding, customers need regular reminders of why they pay:
Weekly/Monthly value recap emails:
Subject: Your [Product] month in review
This month you:
- [Metric they care about, e.g., "Sent 1,247 emails"]
- [Another metric, e.g., "Saved approximately 8 hours"]
- [Usage stat, e.g., "Created 12 new campaigns"]
💡 Tip: Try [underused feature] to [benefit].
In-app nudges toward underused features:
Celebrate their wins:
For a solo founder with <500 customers, personal relationships are your superpower:
When a customer clicks "Cancel," you have one last chance. Make it count:
Show a cancellation reason survey before processing:
Why are you canceling?
○ Too expensive
○ Missing a feature I need: ___________
○ Switched to a competitor
○ Not using it enough
○ Technical issues
○ My needs changed
○ Other: ___________
This data is gold. Review it weekly.
Based on their reason, show a targeted save offer:
| Reason | Counter-Offer |
|---|---|
| Too expensive | Offer a downgrade to a cheaper plan, or a 30% discount for 3 months |
| Missing feature | "We're building that! Want to stay on a free plan until we ship it?" |
| Not using it enough | Offer a pause (1-3 months) instead of cancellation |
| Technical issues | Offer a call to resolve their issue. Personal support from the founder |
| Switched to competitor | Ask which one and why (learning opportunity, no save offer) |
Never make cancellation frustrating. Dark patterns destroy trust and generate chargebacks. The cancel button should work. Offer alternatives, don't hide exits.
When a customer cancels:
30-40% of churned customers can be won back if you approach them right:
Day 1 (Cancellation):
Subject: We're sorry to see you go
Body: Quick, genuine message. No pitch. "If there's anything we could
have done better, I'd love to hear it." — [Your name]
Day 14:
Subject: Here's what's new at [Product]
Body: Share 1-2 updates shipped since they left. Show progress.
Day 30:
Subject: Want to come back? Here's 50% off for 3 months
Body: Time-limited offer. Link to reactivate with discount applied.
Day 60:
Subject: We built [feature they asked for]
Body: Only send if you actually shipped something relevant to their
cancellation reason. Include a free trial to come back and try it.
Day 90:
Subject: Last check-in from [Your name] at [Product]
Body: Final personal email. "No pressure, just wanted to let you
know the door is always open." Remove from win-back sequence.
Sticky products are hard to leave. Build these into your product:
The more data a customer puts in, the harder it is to leave:
Embed in their daily workflow:
Make your product part of their routine:
Not lock-in. Value that accumulates over time:
Retention Dashboard (check weekly):
- [ ] Monthly churn rate (logo and revenue)
- [ ] Churn reasons breakdown (from cancellation survey)
- [ ] Net revenue retention (revenue retained + expansion - churn)
- [ ] Time to churn (how long do customers stay on average?)
- [ ] Feature adoption rate (% of customers using core features)
- [ ] Win-back conversion rate (% of churned customers who return)
Net Revenue Retention (NRR):
NRR = (Starting MRR + Expansion - Contraction - Churn) / Starting MRR × 100
Example: ($10,000 + $500 - $200 - $800) / $10,000 = 95% NRR
The cheapest revenue is from customers who already trust you:
Tell AI:
Design an in-app upgrade prompt for [product] that triggers when a user
hits [usage limit]. Show the value of upgrading with their specific
usage data. Include a comparison of their current plan vs the next tier.
Tone: helpful, not pushy.
| Mistake | Fix |
|---|---|
| Treating all churn the same | Segment by reason — each type needs a different response |
| Only measuring logo churn | Revenue churn matters more. One enterprise loss > ten free-tier losses |
| Hiding the cancel button | Makes users angry and generates chargebacks |
| No cancellation survey | You're flying blind. Always ask why |
| Only emailing at risk of churn | Regular value recaps prevent churn proactively |
| Ignoring involuntary churn | Fix dunning — it's 20-40% of total churn |
| Waiting until cancellation to act | Intervene at the first red flag, not the last step |