What if you could predict churn before it happens and spot expansion opportunities the moment they arise? Our SaaS analytics platform automatically calculates the metrics that drive sustainable growth, so you can focus on building rather than spreadsheet gymnastics.
From MRR tracking to cohort-based retention analysis, we've helped 200+ SaaS companies turn their metrics into growth engines that compound month over month.
See Your SaaS Metrics In Action
Get automated MRR calculations, churn predictions, and expansion insights in under 10 minutes.
What You'll Learn
- Which SaaS metrics actually predict sustainable growth (most track the wrong ones)
- How to automate MRR, churn, and LTV calculations with zero manual work
- Real examples of SaaS companies who increased MRR by 40%+ using metric insights
- The subscription lifecycle analytics that reveal expansion opportunities
Our Automated SaaS Metrics Dashboard
💰 Automated MRR Tracking
Our system automatically calculates Monthly Recurring Revenue from your subscription events. Track new MRR, expansion, contraction, and churn - all updated in real-time.
Example: See that new enterprise plan driving 23% MRR growth while basic plan churn increased 5% - adjust pricing strategy immediately.
📉 Churn Rate Analysis
Track both voluntary and involuntary churn with cohort-based calculations. See which user segments are churning and when in their lifecycle.
Pro insight: Users who don't complete onboarding within 7 days have 4x higher churn - we flag these automatically.
📈 Customer Lifetime Value (LTV)
Automatically calculated based on actual user behavior and subscription patterns. Track LTV by acquisition channel, plan type, and user segment.
Growth lever: Users from organic search have 2.3x higher LTV than paid ads - reallocate marketing spend accordingly.
🎯 Feature Adoption Tracking
See which features drive retention and expansion. Track feature usage across your user base and correlate with subscription upgrades.
Expansion signal: Users who export data 3+ times per month upgrade to higher plans at 6x the rate.
Activation & Onboarding Metrics
Track how quickly new users reach their "aha moment" and become activated users:
- Time to Activation - Measure how long it takes users to complete key setup steps and reach first value
- Activation Rate - Percentage of signups who complete activation within 7/14/30 days
- Onboarding Completion - Track completion of onboarding steps and correlate with retention
- First Value Event - Define and track when users achieve their first meaningful outcome
- Activation Cohorts - Compare activation rates across signup sources, plan types, and time periods
Trial-to-Paid Conversion Funnels
Optimize your free trial or freemium conversion with detailed funnel analysis:
- Trial Signup → Activation - How many trial users complete setup and reach activation?
- Activation → Engagement - Do activated users continue using the product regularly?
- Engagement → Conversion Intent - Track users who view pricing or add payment methods
- Intent → Paid Subscription - Final conversion step with drop-off analysis
- Time-to-Convert - When during the trial period do users typically convert?
Pro Tip: Users who engage 3+ days during trial convert at 8x the rate of single-session users.
Retention Curves by Cohort
Visualize user retention over time for different cohorts:
- Daily Retention - Day 1, Day 7, Day 30 retention rates for new signups
- Weekly Retention - Weekly active users (WAU) returning each week
- Monthly Retention - MRR retention tracking subscription renewals and churn
- Cohort Comparison - Compare retention curves across signup dates, acquisition channels, or plan types
- Feature-Based Retention - See how feature usage correlates with improved retention
Automated Churn Risk Scoring
Our platform automatically identifies at-risk users based on:
- • Declining usage frequency (7-day and 30-day trends)
- • Failed payment attempts or billing issues
- • Support ticket sentiment and frequency
- • Feature abandonment (stopped using key features)
- • Lack of team expansion or seat growth
How to improve these metrics
Increase MRR
Introduce usage‑based pricing or value‑aligned add‑ons. Highlight upgrades in‑app at the moment of value.
Reduce churn
Track early risk signals (low activity, failed payments) and trigger playbooks.
Raise LTV
Guide users to activation and expand seats/usage as teams adopt the product.
Control CAC
Double‑down on channels with strong payback and prune the rest.
FAQ
What’s a healthy logo churn?
For B2B SMB SaaS, < 3% monthly is a good target; enterprise is typically lower.
How do I forecast MRR?
Decompose into new, expansion, contraction, and churn; model each with realistic assumptions.