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How to Add Analytics to Your MVP (Track What Matters)
How to Add Analytics to Your MVP (Track What Matters)
Most MVPs launch without analytics. Then founders make product decisions based on gut feeling instead of data. Don't be that founder. Set up analytics before launch — but only track what actually drives decisions.
The MVP Analytics Stack
| Tool | Purpose | Cost | Setup Time |
|---|---|---|---|
| PostHog | Product analytics, session replay, feature flags | Free up to 1M events/month | 30 min |
| Google Analytics 4 | Traffic sources, page views, demographics | Free | 15 min |
| Stripe Dashboard | Revenue, subscriptions, churn | Included with Stripe | 0 min |
| Sentry | Error tracking, performance monitoring | Free up to 5K errors/month | 20 min |
Recommendation: PostHog + Stripe Dashboard covers 90% of what you need for an MVP.
What to Track: SaaS MVP
Activation Metrics
- Signup completed — Did they create an account?
- Onboarding completed — Did they finish setup?
- First value action — Did they do the core thing your product offers?
Engagement Metrics
- Daily/weekly active users (DAU/WAU)
- Feature usage — Which features do users actually use?
- Session duration — How long do they spend in your app?
- Return visits — How many users come back within 7 days?
Revenue Metrics
- Trial-to-paid conversion rate
- Monthly recurring revenue (MRR)
- Average revenue per user (ARPU)
- Churn rate — What percentage of users cancel each month?
What to Track: eCommerce MVP
Funnel Metrics
- Product page views — Are people browsing?
- Add to cart rate — Are they interested enough to add?
- Checkout initiation rate — Did they start the payment process?
- Conversion rate — Did they complete the purchase?
- Cart abandonment rate — Where in the funnel do they drop off?
Revenue Metrics
- Average order value (AOV)
- Revenue per visitor
- Repeat purchase rate
- Customer lifetime value (CLV)
The MVP Analytics Dashboard
Track just these 5 numbers weekly:
| # | Metric | Why |
|---|---|---|
| 1 | New signups/visitors | Is your acquisition working? |
| 2 | Activation rate | Are new users finding value? |
| 3 | Retention (Day 7) | Are users coming back? |
| 4 | Revenue | Is the business model working? |
| 5 | NPS or satisfaction score | How do users feel? |
If these 5 numbers are improving week over week, your MVP is on the right track.
Common Analytics Mistakes
1. Tracking Everything
The problem: You drown in data and can't find insights. The fix: Start with 10-15 key events. Add more only when you need to answer a specific question.
2. Not Tracking Events from Day One
The problem: You launch, get users, and realize you have no data. The fix: Set up analytics before your first user signs up. Even if you're not sure what to track, basic event tracking captures data you can analyze later.
3. Vanity Metrics
The problem: Page views and total signups feel good but don't tell you if the business is working. The fix: Focus on activation, retention, and revenue. These are the metrics that determine if you have product-market fit.
4. No Funnel Analysis
The problem: You know your conversion rate but not where users drop off. The fix: Set up a funnel in PostHog or GA4 that tracks each step (visit → signup → onboarding → activation → payment).
Final Thoughts
Analytics for an MVP should be simple: track the user journey from discovery to payment, measure week-over-week trends, and use data to prioritize features. You don't need a data team or expensive tools — PostHog and Stripe Dashboard give you everything you need.
Launching soon? Read MVP Launch Strategy: How to Get Your First 100 Users.
Need the metrics framework? See MVP Metrics That Matter.
