Detect churn risk weeks before cancellation
Most SaaS companies learn about churn from a cancellation email. LogoPulse gives you weeks of warning — enough time to intervene.
Churn doesn't happen overnight. It builds up in silence.
A customer doesn't just wake up and cancel. The signs were there for weeks:
| Week | What happened | What you saw |
|---|---|---|
| Week 1 | Customer stops creating entities daily | Nothing — nobody tracks this |
| Week 2 | Key team member stops logging in | Nothing — nobody checks login frequency |
| Week 3 | Feature usage drops to zero | Nothing — product analytics doesn't aggregate per-account |
| Week 4 | Customer sends cancellation email | Surprise. "They seemed happy 2 months ago." |
The cost: Average SaaS churn costs 5-7x the cost of retention. For a $99/mo customer, that's $500-700 in lost revenue and acquisition cost.
What LogoPulse does differently
Real-time health monitoring
Every customer gets a health score (0-100) that updates automatically. When it starts declining, you know immediately — not 3 weeks later.
Activity gap detection
LogoPulse tracks the last activity date for every account. If a customer goes quiet for 7+ days, the risk indicator fires. Configurable threshold.
Feature disengagement tracking
If a customer was using a feature regularly and stops, that's a churn signal. LogoPulse tracks feature usage frequency and flags changes.
Trend analysis, not snapshots
A health score of 60 means different things depending on direction. LogoPulse shows 90-day trends so you can see if a customer is improving, stable, or declining.
From silent churn to early warning
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Connect
Connect LogoPulse SDK to your product (10 minutes). Track the events that matter: entity creation, feature usage, logins.
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Configure
Configure your health score model. Weight the signals that predict churn in your business. Activity frequency? Feature adoption? Login recency? You decide.
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Monitor
Monitor the dashboard. Health scores update every hour. Risk indicators flag accounts that need attention. Sort by health score to find your most at-risk customers.
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Intervene
Reach out to declining accounts with context: "Your batch creation dropped 80% this week — is everything okay?" That's a conversation, not a generic check-in.
What you can measure
| Metric | What it tells you |
|---|---|
| Health score trend | Is this customer getting healthier or declining? |
| Days since last activity | When did they last do something meaningful? |
| Entity velocity change | Are they creating fewer orders/batches/documents than last month? |
| Feature adoption gaps | Are there key features they haven't tried yet? |
| Login frequency | Are they logging in less often? |
| Onboarding completion | Did they ever finish setting up? |
Comparison: manual vs LogoPulse
| Criteria | Manual Churn Detection | LogoPulse |
|---|---|---|
| Detection method | Gut feel + support tickets | Automated health scores + risk indicators |
| Lead time | 0 days (after cancellation) | 2-4 weeks before cancellation |
| Effort | Hours/week reviewing accounts | Zero — automatic |
| Coverage | Checks top 10-20 accounts | Monitors every account |
| Context | "They seemed inactive" | "Health dropped 25 pts, entity velocity down 80%, no login in 12 days" |
| Scalability | Breaks at 50+ accounts | Works at 1,000+ accounts |