Academy26 Sept 202513 min read

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

The complete PLG metrics framework with benchmarks from 80 product-led SaaS companies. What to measure, how to track it, and dashboard template included.

MB
Max Beech
Head of Content

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:

StagePoorGoodExcellent
<£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:

StageOrganic %Interpretation
<£100K ARR<20%Normal (paid required early)
£100K-£1M ARR30-50%Good PLG motion building
£1M-£10M ARR50-70%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:

StagePoor TTVGood TTVExcellent TTV
Simple SaaS>7 days24-72 hrs<24 hrs
Complex SaaS>14 days3-7 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 ComplexityPoorGoodExcellent
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 LengthPoorGoodExcellent
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:

StageExpansion as % of New MRRInterpretation
<£100K ARR<10%Normal (focus on acquisition)
£100K-£1M ARR15-30%Healthy expansion motion
£1M-£10M ARR30-50%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 PeriodPoorGoodExcellent
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:

StagePoor NRRGood NRRExcellent 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 Complete Dashboard Template

Here's the exact dashboard we use:

Weekly View (Tactical)

MetricThis WeekLast Week4-Week AvgTargetStatus
Signups142138135150🟡
Activation rate58%54%56%60%🟢
Free → Paid conversions1291115🟡
Expansion MRR£2,400£1,800£2,100£2,500🟢
Churn (count)81210<10🟢

Monthly View (Strategic)

MetricThis MonthLast Month3-Mo AvgTargetTrend
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%
NRR112%108%110%>110%↗️

Cohort View (Long-Term Health)

Cohort retention by signup month:

CohortMonth 1Month 3Month 6Month 12
Jan 2025----
Dec 202482%---
Nov 202484%68%--
Oct 202479%64%52%-
Sep 202481%66%54%48%
Aug 202478%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 →

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