Introduction: Data Is Your Competitive Advantage
As an indie hacker, you can’t afford to guess. Every decision—from pricing to product features to marketing spend—should be informed by data.
But here’s the challenge: there’s an overwhelming number of analytics tools available, and most indie hackers don’t have time to evaluate them all.
In this guide, we’ll cover the essential analytics tools and metrics for SaaS businesses, helping you build a data stack that actually helps you grow.
The Core Analytics Categories
1. Product Analytics
Purpose: Understand how users interact with your product.
Key Questions:
- Are users reaching the “aha moment”?
- Which features are used?
- Where do users get stuck?
2. Revenue Analytics
Purpose: Track money in and out.
Key Questions:
- What’s our MRR/ARR?
- What’s our churn rate?
- What’s our LTV:CAC ratio?
3. Marketing Analytics
Purpose: Understand acquisition channels.
Key Questions:
- Which channels bring the most customers?
- What’s the cost per acquisition?
- What’s the conversion funnel?
4. Customer Analytics
Purpose: Understand customer behavior and health.
Key Questions:
- Who’s at risk of churning?
- Who’s likely to expand?
- Who’s referring others?
Essential Metrics to Track
Revenue Metrics
| Metric | Definition | Target |
|---|---|---|
| MRR | Monthly Recurring Revenue | Growing 10-20%/month |
| ARR | Annual Recurring Revenue | MRR × 12 |
| Net MRR | New + Expansion - Churn | Positive |
| ARPU | Average Revenue Per User | Depends on pricing |
| LTV | Lifetime Value | 3-5x CAC |
| CAC | Customer Acquisition Cost | Under 12-month payback |
Product Metrics
| Metric | Definition | Target |
|---|---|---|
| DAU/MAU | Daily/Monthly Active Users | Growing |
| Activation Rate | % reaching aha moment | 40%+ |
| Time to Value | Time to first success | Under 24 hours |
| Feature Usage | % using each feature | Varies by feature |
| Session Length | Time per session | Growing |
Customer Metrics
| Metric | Definition | Target |
|---|---|---|
| Churn Rate | % leaving per month | Under 5% |
| NRR | Net Revenue Retention | 100%+ |
| NPS | Net Promoter Score | 50+ |
| CES | Customer Effort Score | Under 3 |
| Health Score | Composite engagement | Above threshold |
The Indie Hacker Analytics Stack
Tier 1: Free/Single Product ($0)
Recommended combination:
- Google Analytics 4: Website traffic
- PostHog (free tier): Product analytics
- Baremetrics (free): Revenue metrics
- Spreadsheet: Custom dashboards
Best for: Pre-revenue or early stage
Tier 2: Core Stack ($50-200/month)
Recommended combination:
- PostHog or Amplitude: Product analytics
- Baremetrics or ChartMogul: Revenue analytics
- Google Analytics 4: Marketing analytics
- Mixpanel: Advanced segmentation
Best for: $10K-100K MRR companies
Tier 3: Full Stack ($200-1000+/month)
Recommended combination:
- Amplitude + Mixpanel: Product analytics
- ChartMogul: Revenue analytics
- Segment: Data infrastructure
- Metabase or Looker: Custom dashboards
Best for: $100K+ MRR companies
Product Analytics Deep Dive
PostHog
Best for: Indie hackers wanting product analytics without the enterprise price tag.
Key features:
- Event tracking
- Session recordings
- Feature flags
- A/B testing
- Heatmaps
Pricing: Free up to 1M events/month
Amplitude
Best for: Teams wanting comprehensive product intelligence.
Key features:
- Behavioral cohorts
- Funnel analysis
- Retention analysis
- Impact analysis
- Predictive analytics
Pricing: Free up to 10M events/month
Mixpanel
Best for: Teams focused on engagement and retention.
Key features:
- Advanced segmentation
- Cohort analysis
- Flow visualization
- Impact tracking
Pricing: Free up to 100K events/month
Revenue Analytics Deep Dive
Baremetrics
Best for: SaaS founders wanting clear revenue insights.
Key features:
- MRR tracking
- Churn analysis
- Cohort analysis
- Revenue forecasting
- Customer health
Pricing: Free for under $10K ARR
ChartMogul
Best for: Teams needing robust revenue analytics.
Key features:
- Subscription metrics
- Data reconciliation
- Pipeline tracking
- Custom reports
- API access
Pricing: €99/month starting
ProfitWell
Best for: Free revenue tracking for early-stage companies.
Key features:
- Free for under $1M ARR
- Recurring revenue metrics
- Customer intelligence
- Industry benchmarks
Pricing: Free - $499/month
Marketing Analytics Tools
Google Analytics 4
Best for: Website and acquisition tracking.
Key features:
- Traffic analysis
- Conversion tracking
- User journey
- Attribution
- Real-time data
Pricing: Free
Plausible Analytics
Best for: Privacy-focused, simple web analytics.
Key features:
- GDPR compliant
- No cookie consent needed
- Simple dashboard
- Website analytics
Pricing: €9/month per site
Fathom Analytics
Best for: Privacy-first website analytics.
Key features:
- No cookies required
- GDPR compliant
- Simple metrics
- Real-time
Pricing: $14/month per site
Building Your Data Pipeline
Step 1: Identify Key Events
What to track:
- Sign up
- Activation (key action)
- First paid conversion
- Feature usage milestones
- Support tickets
- Churn
Step 2: Choose Your Tools
Start simple:
- One product analytics tool
- One revenue tool
- Website analytics
Add complexity as you scale:
- Data warehouse
- BI tools
- Custom dashboards
Step 3: Create Dashboards
Essential dashboards:
- Executive Summary: Key metrics at a glance
- Revenue: MRR, churn, LTV
- Product: Activation, usage, retention
- Marketing: Acquisition, conversion, CAC
- Customer: Health, NPS, support
Making Data-Driven Decisions
The Framework
- Observe: What does the data show?
- Hypothesis: Why is this happening?
- Test: Try a solution
- Measure: Did it work?
- Iterate: Try again if needed
Common Mistakes
- Vanity metrics: Focusing on pageviews instead of revenue
- Analysis paralysis: Collecting data without acting
- Correlation vs causation: Assuming A caused B
- Ignoring context: Data without context is misleading
What to Focus On
Early stage ($0-10K MRR):
- Activation rate
- Time to value
- Basic churn
Growth stage ($10K-100K MRR):
- Channel performance
- Unit economics
- Cohort retention
Scale stage ($100K+ MRR):
- Advanced segmentation
- Full funnel
- Predictive analytics optimization
Building Reports for Different Audiences
For Yourself (Daily)
- Revenue (today, week, month)
- New customers
- Churn
- Top traffic sources
For Investors/Board (Monthly)
- MRR growth
- Customer counts
- Churn rate
- Burn rate (if applicable)
- Key milestones
For Team (Weekly)
- Feature usage
- Support volume
- Conversion rates
- Team performance
Conclusion: Start Tracking, Start Learning
You don’t need an enterprise analytics stack to make data-driven decisions. Start with what’s free, track the essentials, and add complexity as you grow.
Remember:
- Track fewer metrics well, not many poorly
- Act on what you learn
- Build habits around checking your data
- Iterate and improve constantly
Resources
- PostHog - Product analytics
- Baremetrics - Revenue analytics
- Amplitude - Product intelligence
- ChartMogul - Revenue data platform
- Indicative - Customer analytics
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