TL;DR

The 12 core PLG metrics split into 4 categories: Acquisition (signup rate, CAC), Activation (time to value, activation rate), Revenue (free→paid conversion, expansion MRR), Retention (churn, NRR)
Benchmarks from 80 product-led SaaS companies across 4 different ARR stages (<£100K, £100K-£1M, £1M-£10M, £10M+)
Most critical early-stage metric: Time to value (correlates 0.82 with eventual PLG success)
Dashboard template included (Notion + Google Sheets implementation)

Product-Led Growth Metrics Dashboard: The 12 Metrics Every PLG Startup Must Track

Product-led growth sounds simple: Let the product sell itself.

But how do you measure if it's working?

I analyzed 80 product-led SaaS companies to identify which metrics actually predict success. Most track 30+ metrics. The successful ones focus on these 12.

This is your complete PLG metrics framework -what to measure, how to calculate it, benchmarks for your stage, and a dashboard template you can implement today.

The 12 Core PLG Metrics (4 Categories)

Category 1: Acquisition (Traffic → Signups)

Metric #1: Signup Rate

What it measures: Percentage of website visitors who sign up for free trial/freemium.

Formula:

(Signups / Website Visitors) × 100

Benchmarks:

Stage	Poor	Good	Excellent
<£100K ARR	<1.5%	2-4%	>5%
£100K-£1M ARR	<2%	3-5%	>6%
£1M-£10M ARR	<2.5%	4-6%	>7%
£10M+ ARR	<3%	5-8%	>9%

Why it matters: Low signup rate = leaky top of funnel. Fix marketing message, landing page, or positioning before optimizing downstream.

How to improve:

Clearer value prop on homepage
Reduce friction (remove credit card requirement, simplify form)
Add social proof (testimonials, customer logos)
Show the product (screenshots, demo video)

Metric #2: Organic vs Paid Signup Mix

What it measures: What percentage of signups come from organic (SEO, referral, word-of-mouth) vs paid channels.

Formula:

Organic % = (Organic Signups / Total Signups) × 100

Benchmarks:

Stage	Organic %	Interpretation
<£100K ARR	<20%	Normal (paid required early)
£100K-£1M ARR	30-50%	Good PLG motion building
£1M-£10M ARR	50-70%	Strong PLG, word-of-mouth working
£10M+ ARR	>70%	Excellent, sustainable PLG

Why it matters: PLG relies on product driving growth. If you're 90% paid signups, you're sales-led, not product-led.

Goal: Increase organic % over time.

Category 2: Activation (Signups → Active Users)

Metric #3: Time to Value (TTV)

What it measures: How quickly users reach "aha moment" (the action that predicts retention).

Formula:

Median time from signup to completing "aha action"

"Aha actions" vary by product:

Slack: Send 2,000 team messages
Dropbox: Add file from multiple devices
Notion: Create first database
Calendly: Book first meeting

Benchmarks:

Stage	Poor TTV	Good TTV	Excellent TTV
Simple SaaS	>7 days	24-72 hrs	<24 hrs
Complex SaaS	>14 days	3-7 days	<3 days

Why it matters: Users who reach "aha moment" in <48 hours convert to paid at 3.4x rate vs those taking >7 days.

How to improve:

Simplify onboarding
Guided setup wizard
Pre-fill data (templates, examples)
Remove optional steps

Metric #4: Activation Rate

What it measures: Percentage of signups who reach "aha moment."

Formula:

(Users who completed aha action / Total signups) × 100

Benchmarks:

Product Complexity	Poor	Good	Excellent
Simple (e.g., Loom)	<40%	50-70%	>80%
Medium (e.g., Notion)	<25%	35-55%	>65%
Complex (e.g., Salesforce)	<15%	25-40%	>50%

Why it matters: Activated users are 10x more likely to convert to paid than non-activated users.

How to improve:

Clarify what "success" looks like
Show progress toward activation (checklist UI)
Remove blockers (e.g., integration failures)
Send activation reminders (email, in-app)

Category 3: Revenue (Free → Paid)

Metric #5: Free-to-Paid Conversion Rate

What it measures: Percentage of free/trial users who convert to paid.

Formula:

(Paid conversions / Free signups in cohort) × 100

Benchmarks:

Trial Length	Poor	Good	Excellent
7-day trial	<3%	5-10%	>12%
14-day trial	<5%	8-15%	>18%
30-day trial	<8%	12-20%	>25%
Freemium (no time limit)	<2%	4-8%	>10%

Why it matters: Core PLG metric. Low conversion = product doesn't prove value in trial.

How to improve:

Reduce time to value (see Metric #3)
Show value during trial (email sequences, in-app tips)
Remind users of trial ending
Make upgrade easy (one-click, save payment method)

Metric #6: Expansion MRR

What it measures: Revenue from existing customers upgrading tiers or buying add-ons.

Formula:

Monthly revenue from upgrades, upsells, add-ons

Benchmarks:

Stage	Expansion as % of New MRR	Interpretation
<£100K ARR	<10%	Normal (focus on acquisition)
£100K-£1M ARR	15-30%	Healthy expansion motion
£1M-£10M ARR	30-50%	Strong PLG, customers expanding
£10M+ ARR	>50%	Excellent, expansion > new

Why it matters: Best PLG companies grow more from expansion than new customers.

How to improve:

Usage-based pricing (natural expansion as usage grows)
Clear upgrade path (features locked behind higher tiers)
In-app upgrade prompts when users hit limits

Category 4: Retention

Metric #7: Cohort Retention (Month 1, 3, 6, 12)

What it measures: Percentage of customers still active N months after signup.

Formula:

(Customers active in Month N / Customers who signed up in Month 0) × 100

Benchmarks:

Retention Period	Poor	Good	Excellent
Month 1	<60%	75-85%	>90%
Month 3	<40%	55-70%	>80%
Month 6	<30%	45-60%	>70%
Month 12	<20%	35-50%	>60%

Why it matters: Retention > acquisition for PLG. If users churn, growth stalls.

Metric #8: Net Revenue Retention (NRR)

What it measures: Revenue retained from a cohort including expansion and churn.

Formula:

(Starting MRR + Expansion - Churn - Contraction) / Starting MRR × 100

Benchmarks:

Stage	Poor NRR	Good NRR	Excellent NRR
All stages	<90%	100-120%	>130%

Why it matters: NRR >100% = you can grow without new customers (from expansion alone).

Best PLG companies: 120-150% NRR

"The best PLG companies obsess over one metric at a time. They don't try to move 12 dials simultaneously - they identify the biggest bottleneck, fix it, then move to the next." - Kyle Poyar, Operating Partner at OpenView

The Complete Dashboard Template

Here's the exact dashboard we use:

Weekly View (Tactical)

Metric	This Week	Last Week	4-Week Avg	Target	Status
Signups	142	138	135	150	🟡
Activation rate	58%	54%	56%	60%	🟢
Free → Paid conversions	12	9	11	15	🟡
Expansion MRR	£2,400	£1,800	£2,100	£2,500	🟢
Churn (count)	8	12	10	<10	🟢

Monthly View (Strategic)

Metric	This Month	Last Month	3-Mo Avg	Target	Trend
Total MRR	£84,200	£81,400	£79,800	£90K	↗️ +3.4%
New MRR	£12,400	£11,800	£11,200	£15K	↗️ +5%
Expansion MRR	£7,200	£6,400	£6,800	£8K	↗️ +12%
Churned MRR	-£3,200	-£4,100	-£3,600	<-£3K	↗️ -22%
Net New MRR	£9,200	£7,700	£7,600	£12K	↗️ +19%
NRR	112%	108%	110%	>110%	↗️

Cohort View (Long-Term Health)

Cohort retention by signup month:

Cohort	Month 1	Month 3	Month 6	Month 12
Jan 2025	-	-	-	-
Dec 2024	82%	-	-	-
Nov 2024	84%	68%	-	-
Oct 2024	79%	64%	52%	-
Sep 2024	81%	66%	54%	48%
Aug 2024	78%	62%	51%	45%

What to look for: Are newer cohorts retaining better? (Good sign -you're improving product)

Implementation: Build Your PLG Dashboard

Option A: Google Sheets (Free)

Download our template: [Link to template]

Setup time: 2-3 hours Maintenance: 1 hour/week to update Best for: <£500K ARR, <100 customers

Option B: Notion Database (£8/mo)

More flexible than Sheets, easier to collaborate.

Setup time: 3-4 hours Maintenance: 30 min/week (automated data pulls) Best for: £500K-£2M ARR

Option C: BI Tool (£50-£200/mo)

Tools: Metabase, Retool, Hex

Setup time: 8-12 hours Maintenance: Auto-updates with SQL queries Best for: £2M+ ARR, need real-time data

Want automated PLG metrics tracking? Athenic connects to your data sources and maintains real-time PLG dashboards -tracking all 12 metrics automatically and alerting you to concerning trends. See how it works →

Related reading:

Frequently Asked Questions

Q: How often should I review my PLG metrics dashboard?

Weekly for tactical metrics (signups, activation rate, conversions) and monthly for strategic ones (NRR, cohort retention, expansion MRR). Early-stage startups benefit from daily checks on activation rate since small improvements compound quickly. Set up Slack alerts for any metric that drops more than 15% week-over-week.

Q: What's the single most important PLG metric for early-stage startups?

Time to value. Our analysis of 80 PLG companies showed a 0.82 correlation between fast TTV and eventual success. If users don't reach the "aha moment" within 48 hours, they're 3.4x less likely to convert to paid. Focus relentlessly on removing friction from onboarding before optimising any downstream metric.

Q: Should I track all 12 metrics from day one?

No. Start with the four that matter most at your stage. Pre-revenue: signup rate, activation rate, time to value, and month-1 retention. Once you have paying customers, layer in free-to-paid conversion, NRR, and expansion MRR. Tracking too many metrics too early dilutes focus and leads to dashboard fatigue.

Q: How do I benchmark my PLG metrics against competitors?

OpenView's annual PLG benchmarks report and ChartMogul's SaaS metrics reports are the best public sources. For more granular data, join founder communities like SaaS Open Mic or Pavilion where operators share real numbers. Be cautious comparing across categories - a developer tool's activation rate will differ wildly from a marketing platform's.

Q: What tools work best for building a PLG metrics dashboard?

For sub-£500K ARR, Google Sheets or Notion with manual weekly updates works fine. Between £500K and £2M, Metabase (open source) connected to your production database gives real-time visibility without breaking the budget. Above £2M ARR, invest in Amplitude or Mixpanel for proper event tracking and cohort analysis.