# 10 Best Analytics Tools for React Apps in 2026 | Amplitude | Amplitude Compare the 10 best analytics tools for React and React Native apps. See setup guides, pricing, and which tools give you real user insights from day one. Source: https://amplitude.com/en-us/compare/best-analytics-tools-react-apps --- React Analytics Tools Compared # 10 Best Analytics Tools for React Apps in 2026 Compare the 10 best analytics tools for React and React Native apps. See setup guides, pricing, and which tools give you real user insights from day one. Table of Contents - You shipped your React app. People are signing up. And you have zero visibility into what they're doing after they land. Which features get used? Where do people drop off? Is that new onboarding flow working or just adding steps? You need analytics. The best analytics tools for React apps in 2026 include Amplitude, Mixpanel, PostHog, Google Analytics 4, Heap, Plausible, Segment, Pendo, FullStory, and Firebase Analytics. Each has a React SDK, but they vary widely in depth, DX, and what you actually get for free. This guide is for developers and AI builders who ship with tools like Cursor, Claude Code, and Codex. We evaluated each tool on React SDK quality, setup speed, event tracking depth, React Native support, pricing, and whether it connects analytics to action (experimentation, session replay, feature flags). Browse this guide - [What to look for](#what-to-look-for) - [The 10 best analytics tools for React apps](#the-10-best) - [Amplitude](#amplitude) - [Mixpanel](#mixpanel) - [PostHog](#posthog) - [Google Analytics 4](#google-analytics-4) - [Heap](#heap) - [Plausible Analytics](#plausible) - [Segment](#segment) - [Pendo](#pendo) - [FullStory](#fullstory) - [Firebase Analytics](#firebase) - [How to choose](#how-to-choose) - [Frequently asked questions](#faqs) ## What to look for in a React analytics tool A React analytics tool should give you accurate behavioral data without wrecking your bundle size or fighting your component model. Here's what matters: - **TypeScript support.** First-class types in the SDK, not a community wrapper around a vanilla JS library. - **Bundle size.** Analytics code loads on every page. Anything over 50KB gzipped is worth questioning. - **Auto-capture vs. manual instrumentation.** Auto-capture gets you data fast. Manual instrumentation gets you clean data. The best tools support both. - **React Native parity.** If your roadmap includes mobile, you want one event taxonomy across web and native. Not two SDKs that speak different languages. - **Pricing model.** Event-based (Mixpanel, PostHog) vs. MTU-based (Amplitude). Know which model fits your traffic shape. - **Developer experience.** Can you set up from the terminal? Do the docs show React-specific examples? Can you query your data from your IDE? The [Amplitude Setup Wizard CLI](https://amplitude.com/docs/get-started/setup-wizard-cli) sets the bar for modern analytics DX: one terminal command, AI-powered event proposals, and your first dashboard built automatically. ## The 10 best analytics tools for React apps Each tool is evaluated on React SDK quality, setup experience, platform breadth, and pricing. Amplitude is listed first because it offers the most complete analytics-to-action workflow for React developers. ### Amplitude [Amplitude Analytics](https://amplitude.com/amplitude-analytics) is the AI analytics platform that unifies product analytics, experimentation, session replay, and activation in one workflow. For React developers, that means you can go from tracking an event to running an A/B test on the feature behind it without switching tools or syncing data between systems. What sets Amplitude apart for React apps is the setup experience. The [Amplitude Setup Wizard CLI](https://amplitude.com/docs/get-started/setup-wizard-cli) detects your framework (Next.js, React, React Native, and 18+ others), reads your codebase, and proposes tracking events based on what your app actually does. You review and approve every change before it writes anything. Then it builds your first dashboard automatically. After setup, the Amplitude MCP integration lets you query your analytics data in plain English from Cursor, Claude Code, or any MCP-compatible AI tool. Ask "what's my signup-to-purchase conversion rate this week?" from your terminal and get a real answer grounded in your data. #### Key features Amplitude's platform spans far beyond basic event tracking. The React Browser SDK (@amplitude/analytics-browser) includes full TypeScript support, auto-capture, and async loading under 36KB gzipped. The React Native SDK (@amplitude/analytics-react-native) shares the same event model as web, so you maintain one tracking taxonomy across both platforms. [Session Replay](https://amplitude.com/session-replay) lets you watch real user sessions to see exactly where people struggle, included on the free Starter plan. [Feature Experimentation](https://amplitude.com/amplitude-experiment) runs A/B tests and feature rollouts tied directly to your behavioral data. [AI Agents](https://amplitude.com/ai-agents) answer questions about your data in natural language, grounded in your live behavioral events. The platform connects these pieces: you spot a drop-off in a funnel, watch the session replays for that step, build a cohort of affected users, run an experiment to fix it, and launch an in-app guide for the segment that's stuck. That's one workflow, not five tools. #### Amplitude pros and cons **Pros:** - **Unified analytics workspace.** Analytics, experimentation, session replay, and engagement in one platform with shared metrics and cohorts. - **Outcome-focused insights.** Every analysis connects to downstream metrics like retention and revenue. - **CLI-based setup wizard.** Run npx @amplitude/wizard to get from zero to tracking events in minutes, with AI-powered event proposals tailored to your codebase. - **Full platform access on free Starter plan.** 10K MTUs, up to 2M events, session replay, and experimentation at no cost. **Cons:** - **High skill ceiling.** Amplitude's depth means there's a lot to learn if you want to use the full platform. Getting started is fast (CLI wizard, AI Agents for natural-language queries), but mastering advanced workflows takes time. ### Mixpanel [Mixpanel](https://amplitude.com/compare/mixpanel) is an event analytics platform focused on tracking user actions and building behavioral reports. Its React SDK (mixpanel-browser) supports TypeScript and integrates with standard React patterns. For B2B teams, Mixpanel's group analytics let you analyze behavior at the account level, not just the individual user level. Mixpanel doesn't include experimentation, session replay, or in-app engagement tools. If you want to go from insight to action, you'll need additional tools. #### Mixpanel pros and cons - **Strong event analytics.** Intuitive query builder with flexible cohort and funnel tools. - **Generous free tier.** 20 million events per month on the free plan. - **No built-in experimentation or session replay.** Testing a hypothesis from a Mixpanel funnel means integrating a separate A/B testing tool. ### PostHog [PostHog](https://amplitude.com/compare/posthog) is an open-source analytics suite that bundles product analytics, feature flags, session replay, and surveys into one self-hostable platform. Its React and Next.js SDKs are well-maintained, and the autocapture feature tracks clicks, page views, and form submissions without manual instrumentation. PostHog covers a lot of ground, but the analytics depth and UI polish don't match dedicated analytics platforms. Query performance can slow down at higher volumes, and the self-hosted path requires meaningful DevOps investment. #### PostHog pros and cons - **Open source with self-hosting.** Full visibility into the codebase for teams with strict data residency requirements. - **Analytics depth.** Funnel analysis and cohort tools are functional but less flexible than what Amplitude or Mixpanel offer. ### Google Analytics 4 [Google Analytics 4](https://amplitude.com/compare/google-analytics) is Google's web analytics platform. It's free, ubiquitous, and works with React through the gtag.js library or community wrappers like react-ga4. GA4 was designed for marketing attribution on multi-page websites, not product analytics in single-page apps. React SPAs need manual page-view tracking on route changes because GA4 doesn't detect client-side navigation natively. #### Google Analytics 4 pros and cons - **Free with no event volume limits.** Deep integration with Google's ad and marketing stack. - **Not built for SPAs.** React single-page apps require manual route-change tracking. No native funnel analysis at the user level, no behavioral cohorts. ### Heap (by Contentsquare) [Heap](https://amplitude.com/compare/heap), now part of Contentsquare, takes an auto-capture-everything approach to analytics. Its React SDK records every click, page view, form submission, and content interaction automatically. You define events retroactively by pointing at the captured data rather than planning a taxonomy upfront. #### Heap pros and cons - **Fast time-to-data.** No upfront event planning needed with auto-capture. - **Noisy data.** Auto-capture records every DOM interaction, making it harder to build clean funnels without significant event curation. ### Plausible Analytics Plausible is a lightweight, privacy-focused web analytics tool. The script is under 1KB, it doesn't use cookies, and it's compliant with GDPR, CCPA, and PECR out of the box. For React apps, you add a single script tag or use the community plausible-tracker npm package. Plausible is marketing analytics, not product analytics. There are no funnels, no cohorts, no user-level tracking, and no session replay. #### Plausible Analytics pros and cons - **Smallest bundle impact.** Under 1KB with no cookies and full GDPR compliance. - **No product analytics capabilities.** No funnels, no cohorts, no retention analysis, no user-level tracking. It counts visitors, not behaviors. ### Segment Segment is a customer data platform (CDP), not an analytics tool. Its React and React Native SDKs collect events and route them to downstream tools like Amplitude, Mixpanel, GA4, and data warehouses. Think of it as a data router: one SDK call, multiple destinations. Segment adds a layer of abstraction and cost between your React app and your analytics tool. For most early-stage React apps, a direct SDK integration is simpler, cheaper, and gets data flowing faster. #### Segment pros and cons - **Vendor flexibility.** Decouples tracking code from analytics vendor choice, useful for teams running multiple tools. - **Added complexity and cost.** Another dependency, another vendor to manage. Free tier caps at 1,000 visitors per month. ### Pendo [Pendo](https://amplitude.com/compare/pendo) combines product analytics with in-app guides and NPS surveys. Its React integration captures feature usage data and enables targeted in-app messaging. It's popular with B2B SaaS product teams focused on onboarding and feature adoption. Pendo's analytics capabilities are narrower than dedicated analytics platforms. Funnel analysis and cohort exploration don't match the depth of Amplitude or Mixpanel. #### Pendo pros and cons - **Analytics plus in-app guides.** Useful for onboarding flows and feature adoption tracking. - **Opaque pricing.** No self-serve pricing published. Enterprise sales process required for evaluation. ### FullStory [FullStory](https://amplitude.com/compare/fullstory) is a session replay and digital experience analytics platform. Its React plugin provides element-level identification for more precise replay navigation. It's primarily a UX debugging tool. FullStory is strong for UX investigation but it's not a full product analytics platform. Most teams use FullStory alongside a product analytics tool, not instead of one. #### FullStory pros and cons - **Excellent session replay.** Automatic frustration signal detection and React-specific element tagging. - **Not a standalone analytics platform.** Limited funnel and cohort analysis. You'll need a separate tool for product analytics. ### Firebase Analytics Firebase Analytics (also called Google Analytics for Firebase) provides free event tracking tightly integrated with the Firebase ecosystem. Its React Native integration via @react-native-firebase/analytics is one of the most mature mobile analytics SDKs available. The trade-off is the analysis UI: Firebase Analytics provides basic dashboards, but meaningful analysis requires exporting to BigQuery and writing SQL. You're also locked into Google's ecosystem. #### Firebase Analytics pros and cons - **Free with tight React Native integration.** One SDK covers analytics, crash reporting, and performance monitoring. - **Limited analysis interface.** Funnel analysis, cohort exploration, and custom queries require BigQuery exports and SQL. ## How to choose the right analytics tool for your React app The right analytics tool depends on what you're building and where you are in your product's lifecycle. If you're a solo developer or small startup, start with Amplitude's free Starter plan (10K MTUs, up to 2M events). The [Setup Wizard CLI](https://amplitude.com/docs/get-started/setup-wizard-cli) gets you from zero to dashboard in one terminal session, and you get analytics, session replay, and experimentation without paying anything. PostHog is a solid alternative if self-hosting is a requirement. If you only need traffic metrics, Plausible gives you visitor counts, referral sources, and top pages at under 1KB. It's marketing analytics, not product analytics. Pair it with a product analytics tool when you're ready to understand user behavior. If you're building for React Native and web, Amplitude and Mixpanel both offer dedicated React Native SDKs alongside their web SDKs. Firebase Analytics also covers React Native well, but the analysis tools are limited. The biggest distinction is point solution vs. integrated platform. A point solution handles one part of the analytics workflow (tracking, replay, experimentation). An integrated platform like Amplitude connects those parts so you can move from insight to action without leaving the tool. ## Start building with analytics that keep up with you Your React app generates behavioral data every time someone clicks, scrolls, or navigates. The question is whether you're capturing it, and whether you can act on what it tells you. Amplitude connects the full loop: track events, watch sessions, build cohorts, run experiments, and launch in-app guides, all from one platform. The setup takes minutes, not days. [Try Amplitude for free today](https://app.amplitude.com/signup) and run npx @amplitude/wizard in your React project to see how fast setup can be. ## Frequently asked questions about analytics tools for React apps Amplitude's Starter plan includes 10K MTUs, up to 2M events, session replay, and experimentation at no cost. PostHog offers 1 million free analytics events per month. Both have React SDKs with full TypeScript support and work across React web and React Native. Yes, but GA4 was designed for multi-page websites. React SPAs need manual page-view tracking on route changes because GA4 doesn't detect client-side navigation. Product analytics tools like Amplitude handle SPA routing natively without extra configuration. The Amplitude Setup Wizard CLI reads your codebase and proposes events automatically. Run npx @amplitude/wizard and approve the suggestions it generates. Heap also offers auto-capture that records DOM interactions without manual instrumentation. Modern analytics SDKs are lightweight and load asynchronously. Amplitude's Browser SDK is under 36KB gzipped. Plausible is under 1KB. Lazy-load your analytics SDK in production and it won't affect your app's initial render or Lighthouse scores. Amplitude, Mixpanel, PostHog, and Firebase all offer dedicated React Native SDKs alongside their web SDKs. Amplitude's web and native SDKs share the same event model, so you maintain one tracking taxonomy across both platforms. Run npx @amplitude/wizard in your project directory. The CLI detects your framework, installs the SDK, proposes tracking events based on your codebase, verifies data is flowing, and creates your first dashboard. The full process takes about five minutes.