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From data to action in one day

How Gran Minerva Works

We analyze hundreds of behavioral signals to typically predict churn 30-90 days before traditional metrics show a problem. Here's how.

1
Connect
2
Analyze
3
Detect
4
Act
01
Minutes, not months

Connect Your Data

Upload a CSV or connect your CRM. No complex integrations, no engineering resources required. Your first insights arrive the same day.

Gran Minerva Data Workspace showing CSV upload interface
  • Self-serve CSV upload — drop and go
  • One-click CRM connectors (Salesforce, HubSpot)
  • Support, billing, and product usage data
  • No mandatory professional services
02
200+ behavioral signals

AI Analyzes Patterns

Our AI analyzes hundreds of behavioral signals across your customer data — patterns that spreadsheets and dashboards miss entirely.

Gran Minerva Data Library showing analyzed customer data tables
  • Usage patterns and engagement changes
  • Support interactions and sentiment shifts
  • Billing behavior and payment patterns
  • External market signals affecting customers
03
Typically 30-90 days advance warning

See Risk Before It's Obvious

Get churn predictions weeks before traditional metrics show a problem. Every at-risk account shows you the factors driving risk — ranked by impact.

Gran Minerva Record Details showing customer health score and risk factors
  • Clear risk scores for every account
  • Factors ranked by impact — not a black box
  • Trend direction: rising, falling, or stable
  • Counterintuitive patterns others miss
04
Proven intervention strategies

Take Action with Playbooks

Pre-built response sequences based on CS best practices. Your team knows exactly what to do, tracked from first outreach to outcome.

Gran Minerva Playbook showing Executive Churn Prevention workflow
  • Automated workflows triggered by risk
  • Customizable to your team's process
  • Track which interventions actually work
  • Push tasks directly to your CRM
The Freakonomics of Customer Success

Signals Others Miss

Traditional platforms look at obvious metrics like declining usage. We find the counterintuitive patterns — subtle behavioral shifts that reveal what customers won't tell you directly.

The Complaint Cliff

Critical Risk

What It Looks Like

Support tickets dropped from 5+ per month to zero. Everything looks healthy.

What It Actually Means

They've given up. No one important is paying attention anymore. High churn risk.

Too Perfect Syndrome

Silent Risk

What It Looks Like

All health metrics green. No contact from customer for 60+ days. Smooth sailing.

What It Actually Means

Nobody important cares. It's running on autopilot with no executive attention. Renewal vulnerability.

Sudden Improvement

Suspicious Pattern

What It Looks Like

Usage metrics jump 30%+ near renewal date. Engagement is finally picking up!

What It Actually Means

"One last shot" before they decide. They're actively evaluating whether to stay or switch.

Power User Paradox

Hidden Frustration

What It Looks Like

High usage, frequent logins, lots of activity. They love the product!

What It Actually Means

High tickets + pricing page views = forced to use it but actively shopping for alternatives.

These patterns are invisible to traditional health scores. We analyze 200+ behavioral signals to detect what customers won't tell you directly — typically giving you 30-90 days advance warning before traditional metrics show a problem.

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Market Intelligence

Intelligence Beyond Your Data

Your customers don't exist in a vacuum. We monitor external signals — company news, funding events, leadership changes, and industry trends — that could impact their likelihood to renew.

Learn about Market Intelligence
Company News
Funding Events
Leadership Changes
Industry Trends

Ready to see risk before it's obvious?

Upload your data and see which accounts are at risk. No credit card required.

Early access spots limited • No credit card • Pay only for what you use

Gran Minerva | Revenue Protection and Intelligence