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5 Essential PLG Metrics Every Startup Should Track (With Benchmarks)

As a startup founder, you're bombarded with hundreds of potential metrics to track. But here's the truth: most metrics are noise. Successful product-led companies focus intensely on just a handful of metrics that actually predict growth.

This guide cuts through the complexity and gives you the 5 essential PLG metrics every startup should track, complete with industry benchmarks and specific optimization strategies.

Why Focus on Just 5 Metrics?

Early-stage startups have limited resources and attention. Tracking too many metrics leads to:

  • Analysis paralysis
  • Unfocused optimization efforts
  • Missed opportunities in critical areas
  • Team confusion about what success looks like

The most successful PLG companies obsess over a small set of metrics that indicate product-market fit and sustainable growth potential.

The 5 Essential PLG Metrics

1. Time to Value (TTV)

What it measures: How quickly new users reach their first "aha moment" in your product.

Why it matters: Users who experience value quickly are 3x more likely to become long-term customers. In today's competitive landscape, you have minutes—not days—to prove your product's worth.

How to calculate: Measure the time from signup to first meaningful action completion.

Industry benchmarks:

  • Best-in-class: Under 5 minutes
  • Good: 5-15 minutes
  • Needs improvement: Over 30 minutes

Optimization strategies:

  • Eliminate unnecessary onboarding steps
  • Use progressive disclosure to reduce cognitive load
  • Create interactive tutorials that demonstrate value immediately
  • Pre-populate accounts with sample data

ROAARRR insight: Our data shows startups that achieve sub-10-minute TTV grow 40% faster than those with longer times to value.

2. Activation Rate

What it measures: The percentage of new signups who complete key actions that indicate they "get" your product.

Why it matters: Activation is the strongest predictor of long-term retention. Users who activate are 5-10x more likely to become paying customers.

How to calculate: (Users who completed activation actions / Total signups) × 100

Industry benchmarks:

  • Excellent: 60%+ within 24 hours
  • Good: 40-60% within 24 hours
  • Needs improvement: Under 40%

Optimization strategies:

  • Identify the minimum set of actions that indicate value understanding
  • Use onboarding checklists with progress indicators
  • Send targeted email sequences for incomplete activations
  • A/B test different onboarding flows

Example activation events:

  • Project management tool: Creating first project + inviting team member
  • Design tool: Completing first design + sharing with someone
  • Analytics tool: Installing tracking code + viewing first report

3. Product-Market Fit Score (Retention Rate)

What it measures: The percentage of users who return to your product after their initial session, measured at key intervals.

Why it matters: Retention is the most honest metric. It tells you whether people actually find ongoing value in your product, not just initial curiosity.

How to calculate: Track cohort retention at Day 1, Day 7, Day 30, and Day 90.

Industry benchmarks (for freemium SaaS):

  • Day 1: 70%+ (excellent), 50-70% (good), <50% (concerning)
  • Day 7: 30%+ (excellent), 20-30% (good), <20% (concerning)
  • Day 30: 15%+ (excellent), 10-15% (good), <10% (concerning)

Optimization strategies:

  • Identify when users typically churn and intervene earlier
  • Create email re-engagement campaigns for dormant users
  • Build habits through strategic notifications and reminders
  • Improve core product functionality based on usage data

4. Feature Adoption Rate

What it measures: What percentage of your active users engage with specific features, especially those tied to value delivery and retention.

Why it matters: Feature adoption indicates product stickiness and expansion potential. Users who engage with multiple features have higher lifetime value and lower churn rates.

How to calculate: (Users who used feature / Total active users) × 100

Industry benchmarks:

  • Core features: 60%+ adoption among active users
  • Secondary features: 20-40% adoption
  • Advanced features: 5-20% adoption

Optimization strategies:

  • Use in-app tooltips and feature callouts
  • Create guided tours for complex features
  • Show feature value through contextual messaging
  • Track feature discovery vs. feature adoption rates

Pro tip: Focus on features that correlate with retention and expansion, not just usage volume.

5. Product Qualified Leads (PQL) Rate

What it measures: The percentage of free users who demonstrate buying intent through their product usage behavior.

Why it matters: PQLs convert 25-30% better than traditional marketing qualified leads because they've already experienced your product's value firsthand.

How to calculate: (Users meeting PQL criteria / Total active users) × 100

Common PQL criteria:

  • Power usage: Using the product X times per week
  • Feature depth: Engaging with Y core features
  • Team collaboration: Inviting teammates or sharing content
  • Limit hitting: Reaching usage caps on free plans
  • Time investment: Spending Z minutes in product per session

Industry benchmarks:

  • Strong PQL rate: 15-25% of active users
  • Average: 5-15%
  • Needs work: Under 5%

Optimization strategies:

  • Clearly define your PQL scoring criteria
  • Create upgrade prompts at natural usage limits
  • Build social features that encourage team adoption
  • Use progressive feature gating to demonstrate premium value

How to Track These Metrics Effectively

Weekly Metrics Review

Set up a simple weekly review focusing on:

  1. Trends: Are metrics improving, declining, or stagnant?
  2. Cohorts: How do different user groups perform?
  3. Experiments: What tests are running and what's working?
  4. Actions: What will you change based on the data?

Dashboard Setup

Create a single dashboard with:

  • Current week vs. previous week comparisons
  • 4-week trending charts for each metric
  • Segmentation by key user characteristics (acquisition channel, user type, etc.)
  • Color-coded alerts for concerning changes

Common Tracking Mistakes to Avoid

Mistake 1: Tracking too many metrics and losing focus Solution: Start with these 5, master them, then expand

Mistake 2: Looking at vanity metrics instead of business metrics
Solution: Always connect usage metrics to retention and revenue

Mistake 3: Ignoring cohort analysis Solution: Always segment your metrics by time periods and user types

Mistake 4: Not connecting the dots between metrics Solution: Understand how TTV affects activation, which affects retention, which affects PQLs

How ROAARRR Simplifies Metric Tracking

Tracking these metrics manually across multiple tools is time-consuming and error-prone. ROAARRR automatically calculates and visualizes these 5 essential metrics with:

  • Pre-built dashboards optimized for PLG startups
  • Automated cohort analysis that updates in real-time
  • Smart PQL scoring based on your product's usage patterns
  • Benchmark comparisons to see how you stack up against similar companies

Your Action Plan This Week

Ready to implement these metrics? Here's your step-by-step plan:

Day 1-2: Define your activation criteria and set up basic event tracking Day 3-4: Create your metrics dashboard with these 5 metrics Day 5: Analyze your current performance against benchmarks Day 6-7: Identify the biggest opportunity area and create an improvement plan

Questions to Ask Yourself

  1. TTV: What's the fastest path to value in your product?
  2. Activation: What actions indicate a user understands your value proposition?
  3. Retention: When do users typically churn, and why?
  4. Feature Adoption: Which features keep users coming back?
  5. PQLs: What usage behavior indicates buying intent?

Remember: Perfect measurement is less important than consistent measurement. Start tracking these 5 metrics this week, even if your setup isn't perfect. You can always improve your tracking over time.

The startups that win with product-led growth don't track more metrics—they track the right metrics and act on them consistently.

Ready to start tracking the metrics that actually matter? Try ROAARRR free for 14 days and get these 5 essential metrics set up automatically.

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