CustomerScore is an AI retention agent for SaaS teams. It finds where customers drop off and automatically builds and runs the playbooks to stop it.
Most SaaS companies lose customers silently. The signals are there — dropping engagement, stalled adoption, payment issues — but no one connects the dots fast enough. By the time churn shows up in reports, the window to intervene has already closed.
The churn signals are already in your data:
- Engagement dropping
- Feature adoption stalling
- Low usage before upcoming renewals
- Payment issues in Stripe
How CustomerScore works:
1. Connects your existing tech stack
Mixpanel, PostHog, Segment, HubSpot, Salesforce, Intercom, Stripe, Chargebee — plus any internal database or custom source via API and SDK.
2. ML finds where customers drop off
After connecting your data, ML analyzes weak points across the entire customer journey — onboarding friction, activation gaps, churn risk, expansion blockers. Then AI automatically builds and runs retention playbooks tailored to each segment and problem:
- Sends personalized email sequences directly to customers
- Drafts follow-up emails for your CS team
- Creates tasks in CRM
- Alerts your team in Slack
- Triggers in-app guidance tools
Common use cases:
- Churn prevention: Auto-email when engagement drops 40%
- Renewal protection: Proactive outreach 30 days before renewal for at-risk accounts
- Expansion triggers: Alert CS team when usage hits 80% of plan limit
- Onboarding nudges: Automated follow-up when key features aren't adopted
Built for: Lean CS, Growth, and RevOps teams at SaaS companies
Results: Customers typically save 20–30% of at-risk accounts.
Setup: 30 minutes to first workflow. No code required.
No implementation project. No CSM required. Just connect and go.
Product Website
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Customerscore.ioDiscussions
Customerscore.io CommunityLanguages Supported
English
Overview by
Patrik Chalupa
