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  • Home
  • CEO diaries
    • After the HN launch
    • Remote companies can be too asynchronous
    • The time before YC
    • Winning from the back - late mover advantage
    • Optimize for not breaking up with your co-founder
    • Cancer and revenue - the latest board meeting
    • "How come your website is so nice?"
    • Things I learned last year
    • Our new objective: Nail Self Serve
    • How we found our Ideal Customer Profile
    • Tell me about features, not benefits
    • The magic of a Hacker News Pre-Mortem
    • How to run a transparent startup
    • How we justified quitting our jobs and financing PostHog early on
    • How we made something people want
    • Moving to San Francisco
    • Pivot to PostHog
    • Counterintuitive lessons about our pricing
    • I used to think you don't need product people. I was wrong.
    • How we raised $3M for an open source project
    • A story about pivots
    • The YC Interview
    • Raising money is less stressful than bootstrapping
    • What motivates me as a CEO
    • The really important job interview questions engineers should ask (but don't)
    • Writing for developers
    • Reflecting on YC, 2 years on
  • Company & culture
    • How we do meetings at PostHog
  • Comparisons
    • PostHog vs Matomo
    • PostHog vs Amplitude
    • Why I ditched Google Analytics and Mixpanel for PostHog
  • Engineering
    • Enabling zero downtime data migrations for self-hosted users
    • Automating a software company with GitHub Actions
    • How to speed up ClickHouse queries using materialized columns
    • In-depth: ClickHouse vs PostgreSQL
    • Setting up super fast Cypress tests on GitHub Actions
    • How I learned to love feedback loops (and make better products)
    • Frontend filters & backend SQL - A chat with Eric Duong, Sam Winslow, James Greenhill, and Buddy Williams
    • PostHog Joins Hacktoberfest 2020
    • How PostHog built an app server (from MVP to billions of events)
    • How we’re making PostHog deployments easier
    • Solving the mystery of PostHog’s missing session recordings
    • I used to think you don't need product people. I was wrong.
    • The secrets of PostHog query performance
    • Benchmarking the impact of session recording on performance
    • The state of plugins on PostHog
    • We ship whenever
  • General
    • Setting up super fast Cypress tests on GitHub Actions
    • How we designed the PostHog mascot
    • Why you may not need a sales team
    • A story about pivots
  • Guides
    • Introduction to self-service analytics
    • Building an AARRR pirate funnel (how and why)
    • 5 essential tips for Customer Success teams on PostHog
    • 5 analytics ideas for marketing teams using PostHog
    • Automating a software company with GitHub Actions
    • The most useful B2B SaaS product metrics
    • The 7 best GDPR-compliant analytics tools
    • The best HIPAA-compliant A/B testing tools
    • The 5 best free and open-source A/B testing tools
    • The 4 best HIPAA-compliant analytics tools
    • The best open-source analytics and data tools
    • Open source (and self-hosted) alternatives to Hotjar & FullStory
    • The two ways to estimate your monthly event usage
    • How to speed up ClickHouse queries using materialized columns
    • In-depth: ClickHouse vs PostgreSQL
    • Google is about to make it a lot harder to track website and app users without third-party cookies
    • Setting up super fast Cypress tests on GitHub Actions
    • 5 essential PostHog apps for new users
    • 5 events all teams should track with PostHog
    • What launching Experimentation taught us about running effective A/B tests
    • How to get the first 10 paying customers for your devtool company (and other customer acquisition tips)
    • The best GA4 alternatives for apps and websites
    • How to harness the awesome power of growth loops
    • What is user segmentation?
    • How to measure product engagement
    • How to achieve B2B product market fit
    • How to work out what your users really need
    • How we do hiring & HR at PostHog
    • How we turned ClickHouse into our event mansion
    • An introduction to customer retention
    • Is Google Analytics HIPAA compliant?
    • Finding your North Star metric and why it matters
    • How we monetized our open source devtool
    • Building an open source data stack
    • How to plan a killer company offsite in just 8 weeks
    • Permissions and projects in PostHog, explained
    • How (and why) our marketing team uses PostHog
    • PostHog vs Matomo
    • PostHog vs Amplitude
    • Product engineer vs software engineer: what's the difference?
    • Don’t bother securing your trademarks in the beginning
    • How to seed, grow, and scale Developer Relations (and how we're doing it at PostHog)
    • The ops toolkit for early-stage startups
    • How (and why) to track your website with PostHog
    • 22 ways PostHog makes it easier to build great products
    • What is a product engineer (and why they're awesome)
    • A simple guide to personal data and PII
    • An introduction to product analytics and how it works
    • What is SSO and why you should enable it for PostHog
    • The 3 critical reasons companies choose self-hosted analytics
  • HogMail
    • HogMail #14
    • HogMail #15
    • HogMail #16
    • HogMail #17: The personal traits that can't be taught
    • HogMail #18: What can SaaS learn from the New York Times?
  • Inside PostHog
    • PostHog raises $15 million Series B for open source product analytics
    • A non-coders thoughts on ‘Everybody Codes’ - Part Two
    • A non-coder's thoughts on an 'Everybody Codes' culture
    • After the HN launch
    • Remote companies can be too asynchronous
    • The time before YC
    • How PostHog uses Wren to offset carbon emissions during offsites
    • Winning from the back - late mover advantage
    • Optimize for not breaking up with your co-founder
    • Cancer and revenue - the latest board meeting
    • "How come your website is so nice?"
    • Things I learned last year
    • Our new objective: Nail Self Serve
    • How we found our Ideal Customer Profile
    • How we do customer support at our open source devtool company
    • The importance of dogfooding - Why product managers should use their product as much as their users
    • How we designed the PostHog mascot
    • Using Gatsby and Puppeteer to create dynamic Open Graph images
    • Creating an employee-friendly startup share option scheme
    • Tell me about features, not benefits
    • How I learned to love feedback loops (and make better products)
    • The magic of a Hacker News Pre-Mortem
    • HostHogs - free drinks, free pizza and frequently asked questions
    • How to run a transparent startup
    • How we do hiring & HR at PostHog
    • How PostHog built an app server (from MVP to billions of events)
    • How we turned ClickHouse into our event mansion
    • How we justified quitting our jobs and financing PostHog early on
    • Introducing Phil Leggetter, our new head of Developer Relations
    • Using Google Analytics was deemed 'illegal' in some EU countries. We built a microsite in 48 hours to capitalize on the news.
    • Introducing Joe Martin - Our first Product Marketer
    • How we made something people want
    • How we do meetings at PostHog
    • Solving the mystery of PostHog’s missing session recordings
    • Moving to San Francisco
    • How PostHog's new VP focused the company on nailing funnels in his first week
    • An engineer's guide to picking a cofounder
    • Pivot to PostHog
    • How to plan a killer company offsite in just 8 weeks
    • PostHog raises $12 million in funding led by GV and Y Combinator
    • What we learned about hiring from our first five employees
    • How (and why) our marketing team uses PostHog
    • How we rebranded PostHog in four weeks - a postmortem
    • Counterintuitive lessons about our pricing
    • I used to think you don't need product people. I was wrong.
    • What's the true role of a product team at an engineering-led organization?
    • Building an all-remote company from scratch
    • How we raised $3M for an open source project
    • All the cool things we built at our Rome hackathon
    • Content marketing strategy for devtool companies - How we do it at PostHog
    • How to seed, grow, and scale Developer Relations (and how we're doing it at PostHog)
    • Benchmarking the impact of session recording on performance
    • Speeding up PostHog builds with Depot
    • How to run finance at your startup without hiring a finance person
    • How to choose job titles in your early stage startup
    • Startups, stop treating engineers like a different species
    • The ops toolkit for early-stage startups
    • A story about pivots
    • The YC Interview
    • Why we ditched ‘talk to sales’ for transparent pricing
    • Raising money is less stressful than bootstrapping
    • What motivates me as a CEO
    • The really important job interview questions engineers should ask (but don't)
    • Why I ditched Google Analytics and Mixpanel for PostHog
    • Why infrastructure is a competitive advantage for us
    • Why we raised a $15m Series B ahead of schedule
    • Writing for developers
    • Reflecting on YC, 2 years on
    • YC adds PostHog to top valued companies for July 2021
  • Launch week
    • Introducing Collaboration for PostHog
    • Introducing Data Management for PostHog
    • What launching Experimentation taught us about running effective A/B tests
    • How we’re making PostHog deployments easier
    • PostHog Launch Week I: A Universe of New Features
    • The secrets of PostHog query performance
  • Open source
    • The Early Days of GitLab - A Chat with Sid Sijbrandij
    • The 5 best free and open-source A/B testing tools
    • The 6 best free and open-source feature flag tools
    • The best open-source analytics and data tools
    • Open source (and self-hosted) alternatives to Hotjar & FullStory
    • How we do customer support at our open source devtool company
    • How I learned to love feedback loops (and make better products)
    • PostHog Joins Hacktoberfest 2020
    • Give Back Friday with PostHog
    • Building an open source data science publishing platform - An interview with Datapane CEO, Leo Anthias
    • How we monetized our open source devtool
    • Open source is eating SaaS
    • Building an open source data stack
    • Should open source projects track you?
    • PostHog vs Amplitude
    • How we raised $3M for an open source project
    • Why open-source projects are essential for large businesses
    • Send love to open-source projects on Valentine's Day
    • Speeding up PostHog builds with Depot
    • The 3 critical reasons companies choose self-hosted analytics
  • PostHog Academy
    • What is user segmentation?
    • How to measure product engagement
    • How to achieve B2B product market fit
    • How to work out what your users really need
    • An introduction to customer retention
    • An introduction to product analytics and how it works
  • Privacy
    • The 7 best GDPR-compliant analytics tools
    • The best HIPAA-compliant A/B testing tools
    • The 4 best HIPAA-compliant analytics tools
    • Google is about to make it a lot harder to track website and app users without third-party cookies
    • A new 'Privacy Shield' won't solve big tech's GDPR problem
    • Is Google Analytics HIPAA compliant?
    • A simple guide to personal data and PII
  • Product analytics
    • Introduction to self-service analytics
    • Building an AARRR pirate funnel (how and why)
    • The two ways to estimate your monthly event usage
    • How to harness the awesome power of growth loops
    • What is user segmentation?
    • How to measure product engagement
    • How to achieve B2B product market fit
    • How to work out what your users really need
    • An introduction to customer retention
    • Is autocapture ‘still’ bad?
    • Finding your North Star metric and why it matters
    • How PostHog's new VP focused the company on nailing funnels in his first week
    • What's the true role of a product team at an engineering-led organization?
    • How to turn your engineers into product people
    • 22 ways PostHog makes it easier to build great products
    • An introduction to product analytics and how it works
  • Product updates
    • Why we're giving away 100 times more cloud usage, free
    • Enabling zero downtime data migrations for self-hosted users
    • Introducing the Avo Inspector app
    • We just made PostHog Open Source 1000x more scalable via ClickHouse
    • Introducing Collaboration for PostHog
    • Introducing Data Management for PostHog
    • What launching Experimentation taught us about running effective A/B tests
    • Group Analytics is now available in PostHog
    • You can now reverse ETL into PostHog with Hightouch
    • How we’re making PostHog deployments easier
    • PostHog Launch Week I: A Universe of New Features
    • How we’re improving performance by combining persons and events
    • PostHog teams up with Altinity
    • Introducing PostHog Cloud EU
    • Restack joins the PostHog Marketplace
    • PostHog is now available on Segment!
    • The secrets of PostHog query performance
    • Why we're removing the sessions page
    • Array 1.0.10
    • Array 1.0.11
    • Array 1.0.8
    • Array 1.0.9
    • Array 1.1.0
    • Array 1.11.0
    • Array 1.10.0
    • Array 1.12.0
    • Array 1.13.0
    • Array 1.14.0
    • Array 1.15.0
    • Array 1.16.0
    • Array 1.17.0
    • Array 1.18.0
    • Array 1.2.0
    • Array 1.19.0
    • Array 1.20.0
    • Array 1.22.0
    • Array 1.21.0
    • Array 1.23.0
    • Array 1.24.0
    • Array 1.25.0
    • Array 1.27.0
    • Array 1.28.0
    • Array 1.29.0
    • Array 1.26.0
    • Array 1.3.0
    • Array 1.30.0
    • Array 1.31.0
    • Array 1.32.0
    • Array 1.33.0
    • Array 1.34.0
    • Array 1.35.0: Introducing SAML, world map view and new plugins
    • Array 1.37.0: Cohorts 2.0 and event & property detail pages
    • Array 1.36.0: Introducing AND/OR filtering, timezone support and universal search
    • Array 1.38.0: Exports, subscriptions and session analysis
    • Array 1.39.0: Betas, persons, events and libraries
    • Array 1.4.0
    • Array 1.40.0: Interface improvements and more!
    • Array 1.42.0: Get beta features via our roadmap!
    • Array 1.5.0
    • Array 1.41.0: Improving performance by up to 400%
    • Array 1.6.0
    • Array 1.7.0
    • Array 1.8.0
    • Array 1.9.0
    • Array 1.0.0
    • The state of plugins on PostHog
  • Release notes
    • Introducing the Avo Inspector app
    • How we’re improving performance by combining persons and events
    • Array 1.0.10
    • Array 1.0.11
    • Array 1.0.8
    • Array 1.0.9
    • Array 1.1.0
    • Array 1.11.0
    • Array 1.10.0
    • Array 1.12.0
    • Array 1.13.0
    • Array 1.14.0
    • Array 1.15.0
    • Array 1.16.0
    • Array 1.17.0
    • Array 1.18.0
    • Array 1.2.0
    • Array 1.19.0
    • Array 1.20.0
    • Array 1.22.0
    • Array 1.21.0
    • Array 1.23.0
    • Array 1.24.0
    • Array 1.25.0
    • Array 1.27.0
    • Array 1.28.0
    • Array 1.29.0
    • Array 1.26.0
    • Array 1.3.0
    • Array 1.30.0
    • Array 1.31.0
    • Array 1.32.0
    • Array 1.33.0
    • Array 1.34.0
    • Array 1.35.0: Introducing SAML, world map view and new plugins
    • Array 1.37.0: Cohorts 2.0 and event & property detail pages
    • Array 1.36.0: Introducing AND/OR filtering, timezone support and universal search
    • Array 1.38.0: Exports, subscriptions and session analysis
    • Array 1.39.0: Betas, persons, events and libraries
    • Array 1.4.0
    • Array 1.40.0: Interface improvements and more!
    • Array 1.42.0: Get beta features via our roadmap!
    • Array 1.5.0
    • Array 1.41.0: Improving performance by up to 400%
    • Array 1.6.0
    • Array 1.7.0
    • Array 1.8.0
    • Array 1.9.0
    • Array 1.0.0
  • Startups
    • A non-coder's thoughts on an 'Everybody Codes' culture
    • How we found our Ideal Customer Profile
    • Creating an employee-friendly startup share option scheme
    • How to get the first 10 paying customers for your devtool company (and other customer acquisition tips)
    • How to run a transparent startup
    • Building an open source data science publishing platform - An interview with Datapane CEO, Leo Anthias
    • How we made something people want
    • How we monetized our open source devtool
    • Should open source projects track you?
    • An engineer's guide to picking a cofounder
    • How to plan a killer company offsite in just 8 weeks
    • What we learned about hiring from our first five employees
    • How we rebranded PostHog in four weeks - a postmortem
    • Product engineer vs software engineer: what's the difference?
    • What's the true role of a product team at an engineering-led organization?
    • Why you may not need a sales team
    • Don’t bother securing your trademarks in the beginning
    • Building an all-remote company from scratch
    • All the cool things we built at our Rome hackathon
    • Content marketing strategy for devtool companies - How we do it at PostHog
    • Why open-source projects are essential for large businesses
    • How to run finance at your startup without hiring a finance person
    • How to choose job titles in your early stage startup
    • Startups, stop treating engineers like a different species
    • The ops toolkit for early-stage startups
    • How to turn your engineers into product people
    • Raising money is less stressful than bootstrapping
    • What is a product engineer (and why they're awesome)
    • Writing for developers
    • Reflecting on YC, 2 years on
  • Using PostHog
    • 5 essential tips for Customer Success teams on PostHog
    • 5 analytics ideas for marketing teams using PostHog
    • 5 essential PostHog apps for new users
    • 5 events all teams should track with PostHog
    • Permissions and projects in PostHog, explained
    • How (and why) our marketing team uses PostHog
    • How (and why) to track your website with PostHog
    • What is SSO and why you should enable it for PostHog
  • Home
  • CEO diaries
    • After the HN launch
    • Remote companies can be too asynchronous
    • The time before YC
    • Winning from the back - late mover advantage
    • Optimize for not breaking up with your co-founder
    • Cancer and revenue - the latest board meeting
    • "How come your website is so nice?"
    • Things I learned last year
    • Our new objective: Nail Self Serve
    • How we found our Ideal Customer Profile
    • Tell me about features, not benefits
    • The magic of a Hacker News Pre-Mortem
    • How to run a transparent startup
    • How we justified quitting our jobs and financing PostHog early on
    • How we made something people want
    • Moving to San Francisco
    • Pivot to PostHog
    • Counterintuitive lessons about our pricing
    • I used to think you don't need product people. I was wrong.
    • How we raised $3M for an open source project
    • A story about pivots
    • The YC Interview
    • Raising money is less stressful than bootstrapping
    • What motivates me as a CEO
    • The really important job interview questions engineers should ask (but don't)
    • Writing for developers
    • Reflecting on YC, 2 years on
  • Company & culture
    • How we do meetings at PostHog
  • Comparisons
    • PostHog vs Matomo
    • PostHog vs Amplitude
    • Why I ditched Google Analytics and Mixpanel for PostHog
  • Engineering
    • Enabling zero downtime data migrations for self-hosted users
    • Automating a software company with GitHub Actions
    • How to speed up ClickHouse queries using materialized columns
    • In-depth: ClickHouse vs PostgreSQL
    • Setting up super fast Cypress tests on GitHub Actions
    • How I learned to love feedback loops (and make better products)
    • Frontend filters & backend SQL - A chat with Eric Duong, Sam Winslow, James Greenhill, and Buddy Williams
    • PostHog Joins Hacktoberfest 2020
    • How PostHog built an app server (from MVP to billions of events)
    • How we’re making PostHog deployments easier
    • Solving the mystery of PostHog’s missing session recordings
    • I used to think you don't need product people. I was wrong.
    • The secrets of PostHog query performance
    • Benchmarking the impact of session recording on performance
    • The state of plugins on PostHog
    • We ship whenever
  • General
    • Setting up super fast Cypress tests on GitHub Actions
    • How we designed the PostHog mascot
    • Why you may not need a sales team
    • A story about pivots
  • Guides
    • Introduction to self-service analytics
    • Building an AARRR pirate funnel (how and why)
    • 5 essential tips for Customer Success teams on PostHog
    • 5 analytics ideas for marketing teams using PostHog
    • Automating a software company with GitHub Actions
    • The most useful B2B SaaS product metrics
    • The 7 best GDPR-compliant analytics tools
    • The best HIPAA-compliant A/B testing tools
    • The 5 best free and open-source A/B testing tools
    • The 4 best HIPAA-compliant analytics tools
    • The best open-source analytics and data tools
    • Open source (and self-hosted) alternatives to Hotjar & FullStory
    • The two ways to estimate your monthly event usage
    • How to speed up ClickHouse queries using materialized columns
    • In-depth: ClickHouse vs PostgreSQL
    • Google is about to make it a lot harder to track website and app users without third-party cookies
    • Setting up super fast Cypress tests on GitHub Actions
    • 5 essential PostHog apps for new users
    • 5 events all teams should track with PostHog
    • What launching Experimentation taught us about running effective A/B tests
    • How to get the first 10 paying customers for your devtool company (and other customer acquisition tips)
    • The best GA4 alternatives for apps and websites
    • How to harness the awesome power of growth loops
    • What is user segmentation?
    • How to measure product engagement
    • How to achieve B2B product market fit
    • How to work out what your users really need
    • How we do hiring & HR at PostHog
    • How we turned ClickHouse into our event mansion
    • An introduction to customer retention
    • Is Google Analytics HIPAA compliant?
    • Finding your North Star metric and why it matters
    • How we monetized our open source devtool
    • Building an open source data stack
    • How to plan a killer company offsite in just 8 weeks
    • Permissions and projects in PostHog, explained
    • How (and why) our marketing team uses PostHog
    • PostHog vs Matomo
    • PostHog vs Amplitude
    • Product engineer vs software engineer: what's the difference?
    • Don’t bother securing your trademarks in the beginning
    • How to seed, grow, and scale Developer Relations (and how we're doing it at PostHog)
    • The ops toolkit for early-stage startups
    • How (and why) to track your website with PostHog
    • 22 ways PostHog makes it easier to build great products
    • What is a product engineer (and why they're awesome)
    • A simple guide to personal data and PII
    • An introduction to product analytics and how it works
    • What is SSO and why you should enable it for PostHog
    • The 3 critical reasons companies choose self-hosted analytics
  • HogMail
    • HogMail #14
    • HogMail #15
    • HogMail #16
    • HogMail #17: The personal traits that can't be taught
    • HogMail #18: What can SaaS learn from the New York Times?
  • Inside PostHog
    • PostHog raises $15 million Series B for open source product analytics
    • A non-coders thoughts on ‘Everybody Codes’ - Part Two
    • A non-coder's thoughts on an 'Everybody Codes' culture
    • After the HN launch
    • Remote companies can be too asynchronous
    • The time before YC
    • How PostHog uses Wren to offset carbon emissions during offsites
    • Winning from the back - late mover advantage
    • Optimize for not breaking up with your co-founder
    • Cancer and revenue - the latest board meeting
    • "How come your website is so nice?"
    • Things I learned last year
    • Our new objective: Nail Self Serve
    • How we found our Ideal Customer Profile
    • How we do customer support at our open source devtool company
    • The importance of dogfooding - Why product managers should use their product as much as their users
    • How we designed the PostHog mascot
    • Using Gatsby and Puppeteer to create dynamic Open Graph images
    • Creating an employee-friendly startup share option scheme
    • Tell me about features, not benefits
    • How I learned to love feedback loops (and make better products)
    • The magic of a Hacker News Pre-Mortem
    • HostHogs - free drinks, free pizza and frequently asked questions
    • How to run a transparent startup
    • How we do hiring & HR at PostHog
    • How PostHog built an app server (from MVP to billions of events)
    • How we turned ClickHouse into our event mansion
    • How we justified quitting our jobs and financing PostHog early on
    • Introducing Phil Leggetter, our new head of Developer Relations
    • Using Google Analytics was deemed 'illegal' in some EU countries. We built a microsite in 48 hours to capitalize on the news.
    • Introducing Joe Martin - Our first Product Marketer
    • How we made something people want
    • How we do meetings at PostHog
    • Solving the mystery of PostHog’s missing session recordings
    • Moving to San Francisco
    • How PostHog's new VP focused the company on nailing funnels in his first week
    • An engineer's guide to picking a cofounder
    • Pivot to PostHog
    • How to plan a killer company offsite in just 8 weeks
    • PostHog raises $12 million in funding led by GV and Y Combinator
    • What we learned about hiring from our first five employees
    • How (and why) our marketing team uses PostHog
    • How we rebranded PostHog in four weeks - a postmortem
    • Counterintuitive lessons about our pricing
    • I used to think you don't need product people. I was wrong.
    • What's the true role of a product team at an engineering-led organization?
    • Building an all-remote company from scratch
    • How we raised $3M for an open source project
    • All the cool things we built at our Rome hackathon
    • Content marketing strategy for devtool companies - How we do it at PostHog
    • How to seed, grow, and scale Developer Relations (and how we're doing it at PostHog)
    • Benchmarking the impact of session recording on performance
    • Speeding up PostHog builds with Depot
    • How to run finance at your startup without hiring a finance person
    • How to choose job titles in your early stage startup
    • Startups, stop treating engineers like a different species
    • The ops toolkit for early-stage startups
    • A story about pivots
    • The YC Interview
    • Why we ditched ‘talk to sales’ for transparent pricing
    • Raising money is less stressful than bootstrapping
    • What motivates me as a CEO
    • The really important job interview questions engineers should ask (but don't)
    • Why I ditched Google Analytics and Mixpanel for PostHog
    • Why infrastructure is a competitive advantage for us
    • Why we raised a $15m Series B ahead of schedule
    • Writing for developers
    • Reflecting on YC, 2 years on
    • YC adds PostHog to top valued companies for July 2021
  • Launch week
    • Introducing Collaboration for PostHog
    • Introducing Data Management for PostHog
    • What launching Experimentation taught us about running effective A/B tests
    • How we’re making PostHog deployments easier
    • PostHog Launch Week I: A Universe of New Features
    • The secrets of PostHog query performance
  • Open source
    • The Early Days of GitLab - A Chat with Sid Sijbrandij
    • The 5 best free and open-source A/B testing tools
    • The 6 best free and open-source feature flag tools
    • The best open-source analytics and data tools
    • Open source (and self-hosted) alternatives to Hotjar & FullStory
    • How we do customer support at our open source devtool company
    • How I learned to love feedback loops (and make better products)
    • PostHog Joins Hacktoberfest 2020
    • Give Back Friday with PostHog
    • Building an open source data science publishing platform - An interview with Datapane CEO, Leo Anthias
    • How we monetized our open source devtool
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The 7 best GDPR-compliant analytics tools

  • Joe Martin
    Joe Martin
  • Andy Vandervell
    Andy Vandervell

The GDPR places significant restrictions on how you can use tools like Google Analytics to track and collect user data.

And, while there is no universal legal definition of what constitutes "GDPR-compliant analytics", there are some fundamental principles you can follow:

  1. You must acquire "unambiguous consent": Tucking a notice away in your terms and conditions isn't enough. This is why cookie banners are a thing. You need user consent if you're collecting personally identifiable information.

  2. Data must be handled securely: GDPR punishes breaches of privacy and security severely. Data must be held securely and staff trained in how to handle data. You must also delete any personal data you hold if a user requests it.

  3. Don't transfer EU personal data to the US: Non-anonymized identifiable information on EU citizens can't be transferred to the US. This is a hot button issue due to recent rulings against websites that transferred the personal data of EU citizens (e.g. IP addresses) to Google's US-based servers.

The best GDPR-compliant analytics tools

There are numerous ways to achieve GDPR compliance, which you can broadly categorize as good, better or best:

  • Good: Data transferred to the US is anonymized
  • Better: Data is stored in EU cloud servers
  • Best: You self-host and control all data / no personal data is collected

All the tools in this list offer one or more of these methods. We've also chosen a broad range of tools that includes in-depth product analytics platforms, lightweight "privacy first" platforms and open source Google Analytics alternatives.

1. PostHog

PostHog - best gdpr compliant analytics tools

PostHog is an all-in-one, open source analytics platform that combines product analytics, session recording, feature flags, and experimentation into a single platform. Think Amplitude + Hotjar + LaunchDarkly in one and you're pretty close.

Unlike alternatives like Amplitude and Mixpanel, PostHog can be self-hosted on your own infrastructure, which means you can control exactly where user information is stored and how it is processed – ideal for GDPR and HIPAA compliance. It also supports event autocapture, so you can start collecting useful data immediately without instrumenting events by hand.

Who is PostHog for?

PostHog is especially helpful for product teams that want to understand how users use their product. As it's open source, it's great for early-stage startups, but the powerful toolset and range of integrations means it scales to suit any business size. It's also useful for marketing teams.

Features & benefits

  • An all-in-one analytics suite
  • Easy to use, no SQL required
  • Self-hosting and cloud-hosting available
  • Complete control of your data and PostHog instance
  • Feature Flags, Heatmaps, Session Recording and more
  • Apps to integrate with data warehouses
  • Unlimited ability to scale
  • Open source, via MIT license

PostHog and GDPR compliance

  • Open Source: ✔
  • Self Hosting: ✔
  • EU Cloud Hosting: ✔
  • Cookieless Tracking: ✔

PostHog can be deployed onto your own infrastructure, so you retain full control over who your data is shared with and where it is hosted. Alternatively, you can use PostHog Cloud EU, a fully-managed service with servers hosted in Frankfurt, Germany.

While PostHog uses cookies by default, it can be configured not to use cookies. To use PostHog without cookies, data is stored in a Javascript object in memory that only lasts the duration of the pageview.

How much does PostHog cost?

All paid editions of PostHog are free to use up to 1 million events per month. Paid plans include support for multiple projects, and advanced features like A/B and multivariate testing, correlation analysis, cohorts and group analytics. The open source edition is free to self-host and includes the core product analytics features, session recording, and support for one project only.


Need analytics hosted in the EU?

Try PostHog Cloud EU for free

2. Plausible

Plausible Analytics - open source analytics tools

Plausible is a lightweight alternative to tools such as Google Analytics. It offers an effective way to track simple web metrics, such as page views and the number of unique visitors, but lacks the depth of a full product analytics platform.

Plausible’s lightweight nature does offer several benefits however, such as a small script size which means it has a minimal impact on page performance. This further distinguishes it from the bloat of Google Analytics.

Plausible’s intense focus on privacy makes it an attractive option for individuals, but also imposes restrictions on how data can be used and stored. There’s no way to identify users or track behavior across multiple sessions or devices, for example.

Who is Plausible for?

Plausible is a good fit for small content and marketing teams who need to track simple website metrics, or for freelancers and bloggers who only need to monitor small sites.

Features & benefits

  • Lightweight script with minimal page speed impact
  • No need for any cookies, at all
  • Minimal data collection for users
  • No tracking across sessions, devices or sites

Plausible and GDPR compliance

  • Open Source: ✔
  • Self Hosting: ✔
  • EU Cloud Hosting: ✔
  • Cookieless Tracking: ✔

Plausible is made and hosted in the EU. It collects no personally identifiable information at all, making it ideal if you want basic, GDPR-compliant analytics. It's doesn't collect any personal data, such as IP addresses, so you don't need to acquire permission from users to comply with GDPR.

How much does Plausible cost?

Plausible charges by pageview with 1 million pageviews costing €69 per month – approx. $71. Paying annually grants you two free months per year – i.e. €69 per month becomes €690 per year. The open source version is free to self-host via Docker.

3. Fathom

Fathom - GDPR compliant analytics

Fathom is a popular, privacy-friendly alternative to Google Analytics that's built with user privacy at its core. It tracks common web statistics like unique visitors, page views, time on site, bounce rate, and referral data. It also has a basic event tracking system for measuring things like downloads, mailing list signups, and purchases.

While based in Canada, Fathom offers EU-hosting. It also employs what it calls intelligent routing. This ensures that non-EU users are routed via its US servers, while EU users are routed via its EU-based and owned servers. Fathom claims this means non-EU visitors get better performance compared to other, similar services that use EU-only hosting.

Who is Fathom for?

Fathom is ideal for individual users and companies who only require basic web analytics. Unlike GA and other more advanced alternatives, such as PostHog or Matomo, Fathom is a simple, single-page application. It tracks all the basic analytics most people need, but can't offer much insight into user behavior. It's also useful for agencies as it supports up to 50 websites on its core pricing plans.

Features & benefits

  • Fast and lightweight tracking script
  • No cookie banner required
  • EU isolation and intelligent routing
  • Email reports
  • Multi-domain tracking

Fathom and GDPR compliance

  • Open Source: ✖
  • Self Hosting: ✖
  • EU Cloud Hosting: ✔
  • Cookieless Tracking: ✔

As a privacy-first solution, Fathom is GDPR compliant out-of-the-box with no compromises. It's also a cookie-less solution, so you don't need cookie banners when using it.

How much does Fathom cost?

Like Plausible, Fathom charges by pageview, though it's a bit cheaper than Plausible. A website generating 1 million pageviews per month would pay $54 per month, compared to around $71 with Plausible. Fathom also offers two months free use for paying annually, but there is no free-to-use open sourcre version.

4. Countly

Countly - open source analytics tools

Like PostHog, Countly is an extendable product analytics platform that offers self-hosted open source and enterprise editions, or cloud deployments, for organizations that want to understand product performance and user journeys in greater detail.

Countly offers a robust suite of features and an extensive range of integrations, including a Net Promoter Score (NPS) survey plugin. The ability to track crashes and errors, and to issue push notifications to mobile users, are also useful additions over most other analytics tools.

Who is Countly for?

Countly's range of features make it particularly attractive to mobile app developers, especially those working on multi-platform apps across iOS, Mac, Windows, and Android. Its open source Community Edition is available on a AGPL v3 license, though this version removes the majority of its user behavior features, such as retention, revenue tracking, user tracking, cohorts, funnels, and user flow.

Features & benefits

  • Support for mobile, web, desktop and IoT devices
  • Extensible via plugins
  • Self-hosting and private cloud deployments available
  • Push notifications and crash analytics

Countly and GDPR compliance

  • Open Source: ✔
  • Self Hosting: ✔
  • EU Cloud Hosting: ✔
  • Cookieless Tracking: ✖

Like PostHog, Countly can be deployed onto your own infrastructure, or in cloud servers based in the EU, so that data isn't stored in servers outside of GDPR jurisdiction. It doesn't offer a cookie-less tracking option, but it does have consent systems built in.

How much does Countly cost?

Countly doesn't publish pricing on its website. You have to contact sales. Its open source Community Edition is free to self-host, but it excludes most of its user behavior features.

5. Matomo

Matomo - open source analytics tools

Matomo is one of the most popular Google Analytics alternatives because it enables teams to collect a comparable level of information, but can be deployed on-premises so that you don’t need to share information with third-parties. Like PostHog, it’s also open source.

One of Matomo’s most appealing features is the ability to import existing Google Analytics data into Matomo when getting started, so that you don’t lose any previous insights.

Matomo offers a wealth of other features, from custom alerts to tag managers and media analytics, though many of these are sold under per-feature subscriptions which can make the cost of on-premise deployments hard to predict.

Who is Matomo for?

Matomo is suitable for businesses of all sizes which need an alternative to Google Analytics. The cloud version of Matomo is also easy to setup, making it ideal for non-technical users.

Features & benefits

  • Cloud hosting on European servers
  • Self-hosting version available
  • All-in-one Google Analytics replacement
  • Google Analytics importer
  • Open source, via GPL 3.0

Matomo and GDPR compliance

  • Open Source: ✔
  • Self Hosting: ✔
  • EU Cloud Hosting: ✔
  • Cookieless Tracking: ✔

Matomo offers first-party cookies by default and robust tools to ensure personally identifiable information (PII) is anonymized. Additionally, it can be deployed either on-premises, or into EU-based cloud servers. Yes. Matomo offers the option of cookie-less tracking, though this does reduce the quality of data it collects.

How much does Matomo cost?

Matomo's core open source analytics is free to self-host. More advanced features, such as A/B testing and Custom reports, are add-ons charged for annually at varying rates. Its managed cloud service charges by hits (any pageview, event, download etc.) with 1 million hits costing £139 (approx. $170) per month.

Related: PostHog and Matomo compared

6. TelemetryDeck

telemetrydeck

TelemetryDeck is to app analytics what Plausible and Fathom are to website analytics – a lightweight tool that collects minimal personal information. Consequently, TelemetryDeck says developers can use it without tracking permission banners.

Unlike Plausible and Fathom, TelemetryDeck is an event-based analytics platform, making it more adept at understanding what users are doing in your app. It includes basic retention, funnel, page flow insights, and tracks useful app data such as app version, phone model and OS version, and average usage time.

Who is TelemetryDeck for?

TelemetryDeck is good for individual app developers who want a simple, effective solution for app analytics. It's most comparable to Countly, though it doesn't collect as much information on users, or offer as many features. There are first-party SDKs for Swift, Kotlin (for Android and Java), and Javascript (for Node and websites). There's also a community SDK for the Unity game engine.

Features & benefits

  • App analytics for Android and iPhone apps
  • Doesn't track any personally identifiable information
  • Tracks app version and phone OS version
  • Basic retention, funnel, and user path visualizations

TelemetryDeck and GDPR compliance

  • Open source: ✖
  • Self-hosting: ✖
  • EU Cloud Hosting: ✔
  • Cookieless Tracking: ✔

TelemetryDeck makes GDPR compliance very easy. It doesn't collect enough personal information to require opt-out banners, and it's hosted in the EU.

How much does TelemetryDeck cost?

TelemetryDeck's free plan gives you up to 100,000 signals per month – signals are TelemetryDeck's name for events. It has three other plans (Indie, Business and Enterprise) which unlock more signals, support, and user accounts.

7. GoAccess

GoAccess - open source analytics tools

GoAccess is a completely open source web log analyzer and viewer which runs in a browser-based terminal to give you an overview of the most common website metrics. This means it can act as a replacement for tools such as Google Analytics, though it falls short of a product analytics platform in capabilities.

Functioning in real-time, GoAccess is useful for spotting who is using up your bandwidth and identifying aggressive crawlers or bots, as well as tracking site metrics such as page views, visitors and time-on-page. The toolset, design and reliance on a terminal make it a popular choice for sysadmins.

Who is GoAccess for?

GoAccess is for system administrators and software engineers who need to track web performance across smaller sites. It’s unsuitable for those needing a self-service analytics platform or who need easy integration with other tools or data warehouses.

Features & benefits

  • Open source, via MIT license
  • Completely real-time tracking
  • Customizable dashboards
  • Runs inside a terminal or browser

GoAccess and GDPR compliance

  • Open Source: ✔
  • Self Hosting: ✔
  • EU Cloud Hosting: ✔
  • Cookieless Tracking: ✔

You can configure GoAccess to either not collect IP addresses or anonymize them, so it can be used without cookie banners.

How much does GoAccess cost?

GoAccess is open source and has no paid tiers.


Need analytics hosted in the EU?

Try PostHog Cloud EU for free

Authors

  • Joe Martin
    Joe Martin
  • Andy Vandervell
    Andy Vandervell

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Oct 25, 2022

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  • The best GDPR-compliant analytics tools
  • 1. PostHog
  • 2. Plausible
  • 3. Fathom
  • 4. Countly
  • 5. Matomo
  • 6. TelemetryDeck
  • 7. GoAccess
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