Google Analytics, SaaS, or self-hosted? How I chose my analytics stack

📰 Dev.to · Seb Hoek

Learn how to choose the right analytics stack for your needs, whether it's Google Analytics, SaaS, or self-hosted, and why it matters for understanding user behavior

intermediate Published 13 Feb 2026
Action Steps
  1. Evaluate your analytics needs using Google Analytics as a baseline
  2. Research SaaS alternatives such as Mixpanel or Amplitude to compare features and pricing
  3. Consider self-hosted options like Matomo or Piwik for greater data control and customization
  4. Test and compare different analytics tools to determine the best fit for your use case
  5. Configure and implement your chosen analytics stack to start collecting user data
Who Needs to Know This

Product managers, developers, and marketers on a team can benefit from understanding the pros and cons of different analytics stacks to inform their decision-making and optimize their product or service

Key Insight

💡 There is no one-size-fits-all solution for analytics, and the choice between Google Analytics, SaaS, or self-hosted depends on specific needs and goals

Share This
💡 Choosing the right analytics stack can make all the difference in understanding user behavior! #analytics #productmanagement

Key Takeaways

Learn how to choose the right analytics stack for your needs, whether it's Google Analytics, SaaS, or self-hosted, and why it matters for understanding user behavior

Full Article

Why I need user analytics In previous parts of this series, I already introduced Pausen...
Read full article → ← Back to Reads

Related Videos

How to Prompt Your LLM Directly from SQL
How to Prompt Your LLM Directly from SQL
Ian Wootten
People Skills for Analytical Thinkers (Ep. 1005 with Gilbert Eijkelenboom)
People Skills for Analytical Thinkers (Ep. 1005 with Gilbert Eijkelenboom)
Super Data Science: ML & AI Podcast with Jon Krohn
What is Data Mesh Explained with Examples
What is Data Mesh Explained with Examples
VLR Software Training
This could be the most perfect data frontend
This could be the most perfect data frontend
Matt Williams
How to Scrape Facebook Ad Library Data + Analyse on n8n 🔥
How to Scrape Facebook Ad Library Data + Analyse on n8n 🔥
DroidCrunch
6-Phase SQL Roadmap 2026 | Data Analytics & Engineering | #shorts
6-Phase SQL Roadmap 2026 | Data Analytics & Engineering | #shorts
SCALER