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Best Google Analytics Alternatives for Web3 Projects
Yos Riady · 2026-04-29 · via DEV Community

Yos Riady

Key Takeaways

  • GA4 cannot access onchain data or track wallet interactions making it structurally unsuitable for Web3 projects where the source of conversion truth is a crypto wallet rather than a form submission or cookie.

  • Web3 analytics alternatives track the full offchain to onchain journey connecting UTM-tagged acquisition sources to wallet connections, smart contract interactions, and transaction completions in a single view.

  • Each Web3 analytics alternative differs in primary strength so teams should match tools to their use case, whether that is dApp product metrics, onchain attribution, social intelligence, or AI-powered user persona building.

Google Analytics is one of the most well-known tools for tracking and analyzing user behavior, offering insights into website and app events. Despite this, Web3 projects face unique challenges as Google Analytics doesn’t fully address the unique requirements of decentralized projects. In this article, we’ll explore the top 4 Google Analytics alternatives for Web3.

Web3 projects face unique challenges as Google Analytics doesn’t fully address decentralized needs

What is Google Analytics (GA4)?

Google Analytics 4 (GA4) is Google’s latest analytics platform, introduced in October 2020. It features an event-based data model, cross-platform tracking, and enhanced privacy measures, making it ideal for traditional Web2 environments.

Google Analytics is a web analytics tool that helps you understand how people use your website or app

Is Google Analytics (GA4) a suitable tool for Web3?

Google Analytics interface

While GA4 excels in Web2, it has limitations when applied to Web3, including:

  • GA4 primarily relies on cookies, user accounts, and traditional data collection. In Web3, user activity and data happen on the blockchain, which Google Analytics cannot directly access or analyze.

  • GA4 does not support tracking onchain activities (e.g., wallet interactions, staking, minting). Web3 product analytics can handle onchain data directly from Dapps and wallet interactions.

  • Web3 applications operate in decentralized environments where user identities are pseudonymous. GA4’s user identification system (based on cookies and accounts) doesn’t map well to the Web3 identities (wallets).

Why consider Google Analytics Alternatives?

Web2 analytics tools are ill-suited for web3. A web3 user’s journey involves both offchain and onchain channels making it difficult for teams to identify demographics, user journeys, CAC, and conversion rates. The source of truth for conversions onchain - the crypto wallet - is detached from the web2 channels where user engagement occurs. Any technology that aims to capture where web3 users are coming from and how much they spend or engage will have to span two worlds: offchain and onchain.

Web3 product and marketing teams need tools to capture and analyze both dapp interactions on onchain activity to track Web3 user behavior effectively. Google Analytics alternatives empower teams to:

  • Monitor wallet interactions.

  • Track onchain activity across multiple blockchains.

  • Optimize hybrid Web2/Web3 experiences.

While GA4 can be a useful tool for Web2, Web3 requires a more tailored approach to Web3 product and user analytics.

Top Google Analytics alternatives for Web3

Here are the top 4 Google Analytics alternatives designed for Web3 teams:

Formo

Formo is a web3 product analytics platform that gives teams in web3 superpowers. Formo helps you understand your users and how they engage with your Dapp so you can build a better product. Spend less time building analytics, and more time building products.

General information on Formo’s Web3 product analytics

  • Main Features: Dapp visitor analytics, event tracking, wallet profile, and onchain user activity monitoring.

  • Pricing: Free, $59, $249 / month

  • Suitable for: Web3 startups and marketing teams focused on data-driven growth strategies.

0xArc

0xarc is a Web3 product analytics tailored for Web3 applications, providing insights that merge onchain and offchain data. It is designed to help Web3 projects understand user behavior, track performance metrics, and inform strategic decisions.

General information on 0xArc analytics

  • Main Features: Multi-chain wallet tracking, token flow analysis, event monitoring, custom reporting

  • Pricing: Free, $800/month

  • Suitable For: Web3 startups looking to enhance their data analytics on muitl-chain.

Safary.club

Safary’s landing page

Safary.club is a Web3 analytics that leverages real-time conversational intelligence and onchain data to provide teams with actionable insights into their audience and market dynamics.

General information on Safary analytics

  • Main Features: Conversational intelligence, sentiment analysis, onchain conversion tracking, crypto user profile.

  • Pricing: 7-day free trial, $500-$1000 / month

  • Suitable for: dApps and NFT projects prioritizing user connection and engagement.

Cookie3

Cookie3’s landing page

Cookie3 is a Google Analytics alternative that provides behavioral analytics for Web3 users. It leverages AI and onchain data to build detailed user personas, helping brands personalize their offerings.

General information on Cookie3’s analytics

  • Main Features: Web analytics, onchain explorer, token analytics, KOL Intelligence, AI-powered insights.

  • Pricing: Free, $49, $249, $599 / month

  • Suitable for: Web3 marketplaces and NFT platforms focusing on user behavior insights

What Features Does a Good Web3 Product Analytics Provide?

A good Web3 product analytics tool should offer a range of features designed to track user behavior and interactions both onchain and offchain Here’s a breakdown of key Web3 analytics features:

Dapp Visitor Analytics

  • Visitor Metrics: Track the number of visitors, URLs visited, wallet connections, converted wallets, transactions, wallet used, unique wallet addresses, session times, wallet types, user countries, devices, and UTM source channels.

  • Segmentation and Filters: Apply filters to understand how different segments of users interact with your Dapp. For instance, filtering by wallet type or country can help identify user behavior trends in specific regions or demographics.

  • Automatic Event Tracking: Automatically track page views, button clicks, and other user interactions on your pages. This feature removes the need for manual event designation, although manual tracking can be configured when necessary.

Onchain Attribution

  • Campaign Performance: Track marketing campaigns using UTM tags to see where traffic is coming from, whether from a specific source, campaign, or medium.

  • Onchain Tracking: Understand how onchain events (such as transactions or token transfers) are linked to user acquisition sources. This allows for a deeper understanding of user behavior from offchain to onchain conversion, including wallet interactions and engagement with smart contracts.

Funnel Analytics

  • User Journey Insights: Gain visibility into user funnels, tracking how offchain visitors transition to onchain conversions (e.g., from visiting the site to making a transaction or interacting with a smart contract).

  • Conversion Metrics: Analyze drop-off points and optimize the user experience to drive better conversion rates. Web3 funnel analytics help identify friction in the journey, such as where users abandon their wallets or transactions.

Dapp Product Metrics Analytics

  • Core Metrics: Monitor key product metrics such as page visits, sessions, Daily Active Users (DAU), Monthly Active Users (MAU), wallet connections, and transactions.

  • Active Users: Display the number of active users, including daily/weekly/monthly active users and active wallet addresses, empowering you to understand engagement over time.

  • User Engagement Trends: Use filters to examine how Web3 users engage with your Dapp over different periods, which helps to evaluate long-term retention and user growth.

What sets these Google Analytics alternatives apart is their ability to cater to the unique data needs of Web3 projects. Whether you're looking to build a marketing automation system or gain actionable insights into your dApp users, these tools go beyond the user experience of traditional analytics. For a comprehensive solution that tracks both user behavior and product performance in Web3, Formo’s Product Analytics is your go-to choice.

Follow us on LinkedIn and X, and join our community to learn how leading teams across web3 use data to turbocharge growth.

FAQs

What makes a good Google Analytics alternative for Web3?

A good Google Analytics alternative for Web3 puts wallets first. It needs to support on-chain events like swaps or stakes, not just page views. It should also be built for privacy, with no cookies or invasive tracking. Look for tools with multi-chain coverage to see user activity everywhere, and flexible integrations to connect with your existing stack.

Why are privacy features important in a Google Analytics alternative?

Privacy is critical for Web3 analytics tools. They should use wallet addresses for measurement without needing personal data. A good tool offers cookieless tracking, IP anonymization, and event-based measurement to meet rules like GDPR. This approach respects user privacy while giving you the insights needed to grow your product.

What integrations are essential for a Web3 analytics tool?

A good analytics tool needs to connect with your entire data stack.

  • It should ingest onchain events from indexers and support multiple chains.

  • The tool must connect to your data warehouse and business intelligence (BI) tools for deeper analysis.

  • Look for reverse ETL capabilities to send audience segments to your activation tools for email, ads, or messaging campaigns.

How do I choose the right analytics tool for my project?

When choosing an analytics tool, evaluate it on several key criteria.

  • Assess the flexibility of its event model and whether it offers real-time or just historical reporting.

  • Check query performance, data ownership and export options, and pricing limits.

  • Finally, review the platform's reliability, uptime guarantees (SLA), and how easy it is to implement.

What should be on our privacy and compliance checklist when choosing an analytics tool?

When evaluating an analytics tool, use this checklist to ensure it meets privacy standards.

  • Confirm it offers consent management, a cookieless mode, and IP anonymization.

  • Review its data minimization and retention policies.

  • Verify that a Data Processing Addendum (DPA) is available.

  • Check for regional data hosting options to meet legal requirements like GDPR or CCPA.

Explore our full post for tool comparisons and selection worksheets.