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Guide

Best Analytics Tools

Product and web analytics tools tell you what users actually do — which features they use, where they drop off, and what drives retention and conversion. The category spans product analytics built around events, funnels, and cohorts; privacy-friendly web analytics; and platforms that combine analytics with session replay, feature flags, and experimentation. The right choice depends on whether you need deep product insight or simple traffic measurement, how you weigh privacy and data ownership, and whether you want an all-in-one platform or a focused tool. Watch for pricing that scales by event or data volume. Below are the most popular analytics tools, compared on capabilities, pricing, and the teams they serve best.

5 tools reviewed

Why this matters

Decisions without data are guesses. Good analytics reveal where to invest, but tools differ in event models, privacy posture, and volume-based pricing — the right one depends on the questions you actually need to answer.

Featured tools

Comparison table

ToolFree planPricing modelStarting priceBest for
PlausiblePlausible✓ YessubscriptionFree planStartup, SMB
PostHogPostHog✓ YesfreemiumFree planStartup, SMB, Enterprise
AmplitudeAmplitude✓ YesfreemiumFree planStartup, SMB, Enterprise
Google AnalyticsGoogle Analytics✓ YesfreemiumFree planStartup, SMB, Enterprise
MixpanelMixpanel✓ YesfreemiumFree planStartup, SMB, Enterprise

Popular comparisons

Related stacks

Related categories

Frequently asked questions

Product analytics vs web analytics?+

Product analytics focuses on in-app behaviour (events, funnels, retention); web analytics focuses on traffic and acquisition. Many teams use both.

Are there privacy-friendly options?+

Yes — several tools are cookieless or self-hostable and designed for GDPR-friendly, first-party data collection.

How is analytics priced?+

Usually by tracked events, data points, or monthly users, with generous free tiers and steep upgrades at high volume.

Do they include session replay or A/B testing?+

Some all-in-one platforms bundle replay, feature flags, and experiments; focused tools do one job well and integrate with others.