Lifecycle OS
$10,000 one-time. I build the health-scoring system that detects churn risk and expansion signals, then fires the right play automatically.
Built for Series A B2B AI SaaS teams with product usage, billing, support, renewal, and champion signals that should drive save plays, upsell triggers, advocacy, and referrals.
Currently installing 2 Lifecycle OS builds this quarter.
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02 : The Lifecycle Leak
Usage drops. The champion goes quiet. A payment fails. Support sees the same complaint twice. Another account starts adding seats, inviting teammates, or using a feature deeply enough to justify an expansion conversation. The signal is there. Most teams see it too late.
Product events, billing status, support friction, CRM notes, renewal dates, and champion behavior usually sit in different systems with no shared health score.
By the time an account tells you the renewal is at risk, the warning signs have usually been visible for weeks.
Growing teams, power users, feature depth, champion trust, and referral moments should trigger plays automatically. In most teams, they stay buried.
Lifecycle OS turns customer behavior into a controlled system: health scoring, churn-save plays, payment recovery, expansion triggers, advocacy, and referrals.
The cheapest revenue is the revenue you already earned the right to keep. Lifecycle OS turns product usage, billing, support, and champion signals into save plays, expansion triggers, advocacy, and referral loops before renewal pressure arrives.
04 : The Mechanism
I install the system between customer behavior and the next play: score account health, detect churn risk, recover failed payments, surface expansion intent, and feed advocacy back into acquisition.
Step 01
Customer Health Scoring
I define the score from product usage, activation depth, support friction, billing status, champion activity, renewal timing, and account context.
Step 02
Churn-Signal Detection & Auto Re-Engagement
At-risk accounts trigger save plays before silence becomes churn.
Step 03
Dunning & Failed-Payment Recovery
Billing failures trigger recovery sequences without treating every failed payment like a customer success fire drill.
Step 04
Expansion-Signal Detection & Upsell Triggers
Growth signals route to the right account owner with context for the expansion conversation.
Step 05
The Advocacy System
Champions get prompted for testimonials, reviews, referrals, and proof moments when the relationship is strongest.
Step 06
Referral Loop to Acquisition
Customer advocacy feeds the acquisition engine instead of staying trapped in private praise.
05 : Ops Demo
The dashboard is built around customer signals: usage, activation, billing, support, renewal timing, and champion behavior. Instead of waiting for quarterly account reviews, Lifecycle OS classifies the next play.
06 : THE DELIVERABLES
These are the deliverables inside the $10,000 Lifecycle OS build.
01
A health model that combines usage, activation depth, support friction, billing status, champion activity, renewal timing, and account context.
02
Risk detection that fires save plays when usage drops, champions go quiet, support pain repeats, or renewal pressure appears.
03
Failed-payment recovery flows that protect revenue without turning every billing issue into manual customer-success work.
04
Expansion triggers that identify growing teams, feature demand, seat pressure, usage depth, and buying committee signals.
05
A system for capturing testimonials, referrals, proof moments, reviews, and champion stories when customer trust is highest.
06
A referral path that sends customer advocacy back into the acquisition layer instead of leaving it trapped in private conversations.
This is not customer-success consulting, a dashboard, or a dunning tool. It's the lifecycle automation layer beneath retention, expansion, advocacy, and referrals, installed once.
07 : Proof
The system can detect the signal and fire the play. It still has to respect timing, account context, champion trust, and the sales motion around expansion. The public proof shows technical translation, sales context, and voice discipline. The private proof stays locked.
Revenue
""Sebastian is a master of his craft and a sage personality, just like me. He is always contributing with insight in eduKIWI's Sales Rocket Mastermind.""
Doru Pelivan
Founder
eduKIWI (8-figure EdTech)
Growth
""Sebastian captured my voice exactly and spoke to my students perfectly. My course ratings increased from 4.6 to 4.8, which is a huge difference on Udemy.""
Jonas Schmedtmann
Instructor
Udemy
Engineering
""Sebastian is obviously a highly skilled and knowledgeable developer. He delivered one of our biggest projects in just the right amount of time.""
Martin Aranovitch
Manager
WPMU Dev
08 : Investment
A one-time lifecycle system for teams that already have customers, usage data, billing events, support conversations, and champions, but no automatic next play.
Lifecycle OS
$10K one-time ยท lifecycle automation system build
$10,000
$10,000 one-time. Health scoring that detects churn risk and expansion signals, then fires the right play automatically.
BOOK A 30-MIN LIFECYCLE LEAK DIAGNOSTIC →The point is not more customer-success dashboards. The point is earlier saves, cleaner expansion timing, and customer advocacy that feeds acquisition.
09 : Frequently Asked Questions
Product usage, activation depth, billing status, failed payments, support friction, CRM notes, champion activity, renewal timing, seat growth, feature depth, and referral behavior.
The exact inputs depend on your stack. The point is to turn the signals you already have into a health score and the next play.
No. Lifecycle OS removes the monitoring, routing, reminder, and follow-up drag that keeps customer success reactive.
Humans still handle judgment, trust, and complex conversations. The system makes sure they see the right customer at the right moment with the right context.
The system watches for risk patterns such as usage drops, failed payments, repeated support pain, champion silence, stalled activation, or renewal pressure.
When a threshold is crossed, it can trigger a save sequence, route the account to an owner, create the CRM task, and attach the reason the account is at risk.
Seat pressure, repeated usage by the same team, feature depth, new departments appearing, champion engagement, integration demand, procurement signals, and support questions that imply broader adoption.
The system turns those signals into an upsell trigger instead of waiting for someone to notice the pattern manually.
Yes. Healthy customers and strong champions should become proof, referrals, testimonials, reviews, and founder-story inputs.
Lifecycle OS closes that loop so retention and expansion signals can also feed the acquisition layer.
10 : Book The Consultation
Bring your product usage signals, CRM, billing flow, support patterns, renewal motion, expansion rules, and a few customers you wish the team had acted on sooner. I will show you where lifecycle revenue is leaking before the next renewal conversation.
BOOK A 30-MIN LIFECYCLE LEAK DIAGNOSTIC →30 minutes. No pitch. Just the lifecycle leak diagnosis.