Solution · Reduce Churn
Catch at-risk accounts before they slip
Quivly surfaces churn signals the moment they appear and triggers automated rescue playbooks — so your team focuses on saving accounts, not finding them.
Account
Resend
Calculated
4/14/2026
Quivly's analysis
Medium health (66/100) is driven by an engagement gap: near‑silent accounting with no Slack or calls in 30 days, six days before renewal, despite strong product usage growth — a high churn‑risk pattern.
Recommended actions
- 1Schedule an emergency renewal call within 48 hours.
- 2Send a personalized message referencing the product usage surge.
- 3Investigate the negative market signal from the last 30 days.
- 4Flag zero deployments to the CSM as a potential expansion risk.
Proven outcomes
What teams achieve with Quivly
32%
average reduction in logo churn
5×
faster account triage
80%
of at-risk accounts identified before renewal
2×
more accounts per CSM
Early warning
Know which accounts are at risk weeks before renewal
Quivly ingests product usage, support tickets, billing events, NPS, and CRM activity into a single health score — updated in real time. No more guessing. No more surprises.
- Unified health score across all your data sources
- Signals ranked by likelihood-to-churn, not recency
- Slack and email alerts the moment a score drops
At-risk · by P(churn)
Signals re-ranked every hour
Railway
Vercel
Supabase
Resend
Vercel: Health 84 → 66 in 2 wks
Railway: Score crossed below 50
Automated rescue
Trigger the right playbook at the right moment — automatically
When Quivly detects churn risk it doesn't just alert your CSM — it launches a rescue playbook. Personalised outreach, EBR scheduling, escalation routing, and stakeholder mapping all happen without manual intervention.
- Pre-built churn rescue playbooks you can customise
- Automated personalised outreach from your CSM's inbox
- Escalation routing to AE or exec sponsor when needed
Rescue playbooks
Auto-run when health hits Rescue
Railway
Sponsor re-engagement
Vercel
Usage recovery nudge
Supabase
QBR auto-schedule
Created SFDC "at-risk" task for Railway
Automated
Slack: #cs notified · Vercel sequence
Automated
Gmail: Resend — exec draft (review)
Needs approval
"Quivly flagged three accounts we had no idea were at risk. We ran the rescue playbook, saved all three, and avoided $120k in ARR loss — in the first 60 days."
One Chowdhury
Co-founder at Octolane
Trusted by post-sales teams at
FAQ
Common questions about reducing churn with Quivly
Quivly processes signals in real time. The moment a usage drop, missed login, or negative support trend crosses a threshold, your CSM receives an alert — often weeks before a customer raises a concern or reaches a renewal date.
Quivly integrates with your CRM (Salesforce, HubSpot), product analytics (Mixpanel, Amplitude, Segment), support tools (Zendesk, Intercom), billing (Stripe), and survey platforms (Delighted, Medallia). Data is unified into one health score per account.
Both. For routine signals Quivly can run rescue playbooks automatically — sending personalised emails, scheduling EBRs, and flagging stakeholder gaps — without CSM involvement. For high-stakes accounts your CSM is looped in with full context so they can act fast.
Most teams are live within two weeks. Quivly's integration layer connects to your existing tools without engineering work. Our onboarding team configures your health score model and first playbooks during a guided setup session.
Yes. Quivly ships with a proven default model but every weight — usage cadence, feature adoption, support volume, NPS, contract value — is adjustable. You can also add custom signals from your own data warehouse.
Get started
See how Quivly stops churn before it starts
Book a 30-minute demo and we'll show you exactly which of your accounts are at risk right now.
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