Google Analytics
Free web and app analytics from Google.
Alternatives
Choose Amplitude if…
- you need built‑in retention and cohort dashboards
- you run feature experiments linked to analytics
- you prefer pricing based on event volume, not pageviews
- your team focuses on product‑led growth rather than ad spend
Choose Plausible Analytics if…
- you need a sub‑1KB tracking script
- you must avoid cookies for GDPR compliance
- you want a self‑hosted open‑source analytics stack
- you prefer a single‑page dashboard over complex reports
Choose PostHog if…
- you need to keep raw analytics data behind your own firewall
- you have engineering resources to deploy and maintain a
- you want unlimited event tracking without GA’s free‑tier
- you require heatmaps or session replay that GA doesn’t
- you plan to integrate analytics tightly with internal tools
Choose Mixpanel if…
- you need built‑in cohort analysis
- you want a self‑serve dashboard for product metrics
- you rely on a generous free tier for early‑stage tracking
- you prefer event tracking without deep Google Ads
Choose Umami if…
- you need to host analytics on your own server
- you must comply with strict cookie‑free privacy regulations
- you have a tight budget and can’t afford paid GA tiers
- you run a low‑traffic site and don’t need enterprise scaling
How to Decide
Google Analytics is the free, massive‑scale web and app analytics platform that powers marketers and website owners. The alternatives split into a few clear camps: Plausible Analytics is chosen for its privacy‑friendly, cookie‑free script and open‑source self‑hosting; Amplitude leans into deep behavioral cohorts and path‑finding for product‑focused decision making; Mixpanel emphasizes a generous free tier and powerful funnel‑and‑retention analysis for growth teams; PostHog stands out with an open‑source, self‑hostable all‑in‑one suite that adds feature flags and session replay; analytics is selected for its unified multi‑ad‑platform view with built‑in predictive forecasting.
When weighing replacements for Google Analytics, focus on (1) the pricing model and tier limits – free SaaS tiers versus paid subscriptions or usage‑based fees; (2) the depth of product‑vs‑web analytics – behavioral cohorts and funnel tools versus page‑level traffic reporting; (3) privacy and deployment preferences – cookie‑free, GDPR‑compliant or open‑source self‑hosting versus cloud‑only solutions; (4) integration ecosystem – native connections to ad platforms or data warehouses versus a more limited set; and (5) open‑source availability, which impacts customization and operational overhead.
All Alternatives
“Open‑source, privacy‑focused web analytics offering self‑hosted, cookie‑free tracking similar to Pirsch.”
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