KPI Examples for Product Launch: Metrics That Matter
Last reviewed: October 8, 2025
Launch KPIs: What to Track
Product launches require tracking the right metrics at the right time. Focus on these categories:
Pre-Launch (Validation):
- Waitlist signups
- Beta application rate
- Email open/click rates
Launch Week (Awareness):
- Traffic, signups, media mentions
- Social engagement
- Product Hunt/launch platform metrics
First 30 Days (Activation):
- User activation rate
- Time-to-first-value
- Core feature adoption
First 90 Days (Retention):
- Week-2, week-4 retention
- Churn rate
- NPS or satisfaction scores
KPI Examples by Launch Type
SaaS Product Launch
Launch Goal: 1,000 signups, 40% activation, 30% week-2 retention
| KPI | Target | Why It Matters |
|---|---|---|
| Signups (Week 1) | 500 | Measures initial interest |
| Activation Rate | 40% | Users completing setup |
| Time-to-First-Value | < 10 min | Speed to “aha moment” |
| Week-2 Retention | 30% | Early stickiness signal |
| Trial-to-Paid (30d) | 10% | Revenue validation |
| Support Tickets/User | < 0.5 | Product quality |
How to track: Mixpanel, Amplitude, or PostHog for product analytics. Stripe for revenue.
Mobile App Launch
Launch Goal: 10K downloads, 50% D1 retention, 4.0+ app store rating
| KPI | Target | Why It Matters |
|---|---|---|
| App Store Downloads | 10,000 | Top-of-funnel |
| D1 Retention | 50% | Come back tomorrow? |
| D7 Retention | 30% | Come back in a week? |
| Session Length | 5+ min | Engagement depth |
| App Store Rating | 4.0+ | Social proof |
| Crash Rate | < 1% | Technical quality |
How to track: Firebase Analytics, AppFollow, or App Annie.
Marketplace Launch
Launch Goal: 50 supply-side users, 200 demand-side users, 20 transactions
| KPI | Target | Why It Matters |
|---|---|---|
| Supply Signups | 50 | Sellers/hosts/creators |
| Demand Signups | 200 | Buyers/guests/consumers |
| Liquidity (% match) | 40% | Market efficiency |
| First Transaction | Day 1 | Proof of concept |
| Total GMV (30d) | $10K | Economic validation |
| Repeat Rate | 20% | Retention signal |
How to track: Custom dashboard combining internal DB + analytics tool.
API/Developer Tool Launch
Launch Goal: 100 developer signups, 30 integrations live, 10K API calls
| KPI | Target | Why It Matters |
|---|---|---|
| Developer Signups | 100 | Interest level |
| Docs Page Views | 500 | Documentation usage |
| API Integrations Live | 30 | Activation |
| API Calls (Week 1) | 10,000 | Usage intensity |
| Error Rate | < 5% | Technical quality |
| Time-to-First-Call | < 15 min | Ease of integration |
How to track: Internal API logs + analytics dashboard.
Launch Timeline: When to Measure What
Week -2 (Pre-Launch)
- ✅ Waitlist size: 500+
- ✅ Beta feedback: 8/10 satisfaction
- ✅ Launch assets ready: 100%
Week 0 (Launch Week)
- 📊 Daily signups
- 📊 Traffic sources
- 📊 Social mentions/shares
- 📊 Press coverage
Week 1-4 (First Month)
- 📊 Weekly active users
- 📊 Activation rate (trend)
- 📊 Time-to-value (improve)
- 📊 Feature adoption
Month 2-3 (Stabilization)
- 📊 Retention cohorts
- 📊 Churn rate
- 📊 NPS
- 📊 Revenue (if applicable)
Good vs Great Launch KPIs
Acquisition (Signups)
Good: 1,000 signups in first week Great: 1,000 signups + 70% from organic/word-of-mouth
Why? Paid signups are expensive; organic growth is sustainable.
Activation
Good: 40% of users complete onboarding Great: 40% complete + 60% of those use core feature
Why? Onboarding ≠ value. Core feature usage = real activation.
Retention
Good: 30% week-2 retention Great: 30% week-2 retention + improving weekly
Why? Direction matters more than absolute numbers early on.
Quality
Good: 4.0 star rating, 10 reviews Great: 4.5+ star rating, 50+ reviews with specific praise
Why? Volume + quality = social proof for next cohort.
Red Flags to Watch
🚩 High signups, low activation (< 20%)
- Problem: Onboarding friction or unclear value prop
- Fix: Simplify onboarding, clarify first steps
🚩 Good activation, poor retention (< 20% week-2)
- Problem: No lasting value or habit formation
- Fix: Improve core product, add retention hooks
🚩 Lots of signups from one source only
- Problem: Not sustainable, single point of failure
- Fix: Diversify channels early
🚩 High support volume (>1 ticket per 10 users)
- Problem: Product is confusing or buggy
- Fix: Prioritize UX and bug fixes over features
Launch KPI Dashboard Template
Track these weekly for first 90 days:
ACQUISITION
- Signups: ___ (goal: ___)
- Traffic sources: Organic ___% Paid ___% Referral ___%
- Conversion rate: ___% (visitors → signup)
ACTIVATION
- Activation rate: ___% (goal: 40%+)
- Time-to-first-value: ___ min (goal: < 10 min)
- Core feature usage: ___% of activated users
RETENTION
- Week-2 retention: ___% (goal: 30%+)
- Week-4 retention: ___% (goal: 20%+)
- Churn rate: ___%
QUALITY
- NPS: ___ (goal: 40+)
- Support tickets: ___ (goal: < 0.5 per user)
- App/product rating: ___ (goal: 4.0+)
REVENUE (if applicable)
- MRR: $___ (goal: $___)
- ARPU: $___ (goal: $___)
- CAC: $___ (goal: < 3x ARPU)
How to Set Your Launch Targets
Step 1: Research benchmarks
- Look at similar products in your space
- Check public launch reports (Indie Hackers, Product Hunt)
Step 2: Be realistic
- Unknown brand? Expect lower signups
- Complex product? Expect lower activation
- New category? Expect more education needed
Step 3: Set stretch goals
- Target: What you expect with good execution
- Stretch: What you’d achieve with exceptional execution
- Floor: Minimum viable success
Example:
- Floor: 500 signups, 30% activation
- Target: 1,000 signups, 40% activation
- Stretch: 2,000 signups, 50% activation
Rock-n-Roll helps you define realistic launch KPIs based on your product type, market, and resources—then tracks them through integrated analytics and dashboards.
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Frequently Asked Questions
What KPIs should I track for a product launch?
Track acquisition, activation, engagement, retention, and revenue. Choose 3-5 primary metrics tied to your goals.
How long after launch should I evaluate success?
Look for initial signals within 1-2 weeks and a fuller picture within 1-3 months.
What is a good activation rate?
Benchmarks vary, but 40-60% activation is strong for SaaS. Focus on improving your baseline.
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