
Frank Kern
RETAINER CLIENT · WIRED FOUR MORE TIMES SINCE
$41,253
NEW PROFIT · 3 DAYS
Every playbook reads product usage signals — not vanity opens. Churn risk scored 14-21 days early. Activation nudges that fire on the specific event that matters for your product, not a generic drip. Pricing experiments with real confidence intervals.
Median after 90 days: activation +18%, month-3 churn -23%, support deflection 40%.
+18%
Activation rate lift
New signups, 90-day measurement window
-23%
Month-3 churn
Pro-plan cohort — saved without promo discounts
40%
Support ticket deflection
Policy-aware automated responses + escalation
14 days
To first churn save
From OS activation to first retained account
Every workflow reads product-usage signals from your event stream — Mixpanel, Amplitude, Segment, PostHog — not proxies.
Activation sequences
Onboarding nudges keyed to the specific event that defines "activated" for your product. Users who stall get a personalized nudge that references the step they stopped on.
Churn saves
Churn risk scored from usage-pattern deltas 14-21 days before predicted cancel. Concierge outreach, feature spotlight, downgrade offer — each governed by its own approval rule.
Support deflection
Repetitive tickets auto-resolved with policy-aware responses. Edge cases escalated to humans with full context. Deflection tracked as proof — not just ticket count.
Expansion experiments
Seat upsells, plan upgrades, usage-based pricing tests. Statistical confidence required before promotion. Proof tracked per cohort, not per "promoted feature."
Connect product, billing, and CRM
15 minEvent stream (Mixpanel / Amplitude / Segment / PostHog) + billing (Stripe, Chargebee) + CRM context (HubSpot, Salesforce). 15 minutes.
Define your activation signal and churn threshold
Tell the OS what "activated" looks like — the specific event, not a dashboard. Set the usage-drop % that flags churn risk. Configure approval rules for retention offers.
Activate churn saves first
Highest-impact first run for most SaaS operators: the at-risk cohort is always bigger than you think. Proof snapshot in 14 days, typically a saved-MRR number you can forward to your CFO.
Without OS
Churn discovered at the cancel form
Too late to save, too late to learn
Activation tracked, not acted on
Dashboard shows drop-off; nobody does anything about it
Support tickets worked manually
Repetitive questions eat CS capacity every week
Experiments run by gut-feel
No confidence interval, no attribution, no promotion rule
With Profitalize OS
Churn risk scored 14 days early
Automated saves fire before users decide to leave
Activation drops trigger personalized sequences
Product-aware nudges, not email-open proxies
Repetitive tickets auto-resolved inside policy
Escalation path preserves edge-case quality
Every experiment has baked-in proof
Statistical confidence required — no vibes promotions
Example prompt
Reduce churn for Pro plan users. No promo codes. No discounts.Risk scoring: 47 Pro users flagged — usage drop > 40% week-over-week.
Sequence queued: personalized concierge check-in — feature spotlight, no promo.
Approval gate: any discount offer > 10% requires VP approval before send.
Escalated to CSM: 3 highest-ARR at-risk accounts for manual outreach.
Control group: 23 users held — retention delta measured at day 14.
Baseline captured; proof snapshot scheduled.
Free trial, no card. Plug in your event stream and billing and watch the OS run your retention + expansion playbooks on real data inside 15 minutes.

RETAINER CLIENT · WIRED FOUR MORE TIMES SINCE
$41,253
NEW PROFIT · 3 DAYS

SIGNED PARTNERSHIP · THE GROWTH PARTNER DMCC, DUBAI
$70,000,000
PER YEAR · RUNS ON THIS

CEO, TRAFFIC AUTHORITY · ON TRAFFIC HE WAS ALREADY BUYING
$148,368
ADDITIONAL PROFIT
Every figure is a payment that cleared.