Teams building DeFi protocols and crypto applications face fragmented blockchain data, wallet pseudonymity, and complex privacy trade-offs that traditional analytics tools simply can't handle.

Having a unified Web3 analytics stack isn't just helpful—it's critical for measuring growth, understanding attribution, and improving user experience. Without proper insights into both offchain marketing efforts and onchain user behavior, teams operate blindly in an increasingly competitive ecosystem.

This post breaks down the top Web3 analytics tools to help onchain builders make data-driven decisions and accelerate their growth.

What is Web3 Analytics?

Web3 analytics combines on-chain events like transactions and smart contract interactions with wallet behavior patterns and off-chain signals from marketing campaigns to create actionable insights. This process transforms raw blockchain data into meaningful business intelligence.

The key difference from Web2 analytics lies in user data control, radical transparency, and the complexity of onchain attribution. While Google Analytics tracks sessions and page views, Web3 analytics must connect anonymous wallet addresses to real user journeys spanning multiple chains and protocols.

Teams typically need to track three essential data domains:

• Onchain data: Transactions, smart contract interactions, token transfers, and protocol usage

• Wallet data: Wallet profiles, audience insights, cohort analysis, and linking multiple addresses to individual users

• Offchain data: Marketing campaign performance (UTMs), referral traffic, and social media engagement

Key Features to Look For in Web3 Analytics Tools

When evaluating analytics platforms, onchain builders should prioritize these essential capabilities:

• Event analytics captures the full user journey, from offchain to onchain

• KPI dashboards provide immediate visibility into product and user metrics

• Onchain attribution connects off-chain marketing efforts directly to on-chain conversions, solving the attribution puzzle that traditional tools can't handle.

• Wallet intelligence segments users based on their onchain footprint, helping teams understand whale behavior, identify power users, and target specific cohorts.

• Multi-chain support tracks user activity across different blockchains seamlessly, providing a unified view of cross-chain behavior.

• Privacy & security ensures user data protection without invasive tracking methods like IP fingerprinting or third-party cookies.

Top Web3 Analytics Tools

1. Formo

Key Features:

• Unified analytics dashboard: Track DAU, WAU, CAC, ARPU, LTV, TVL, transactions, revenue, volume, and retention

• Product analytics: See what your users are doing in real-time

• Onchain attribution: Connect marketing channels (referrer, UTM) to on-chain user activity and onchain metrics (TVL, revenue, volume)

• Funnel analytics: Build custom funnels to measure conversion rates and and identify drop-offs at key touchpoints

• Wallet intelligence: Transform anonymous wallets into user profiles with insights on net worth, apps, tokens, in-app activity, and segments

• Audience segmentation: Segment and target users by wallet properties, lifecycle, and in-app actions

• Retention analytics: Measure engagement, cohort retention, and long-term value

• Custom charts & reporting: Create custom dashboards with the UI or raw SQL

• Alerts: Real-time notifications for high-value users or critical actions

Pros:

• Complete product analytics and marketing intelligence for web3 teams

• Connects off-chain and on-chain data with onchain attribution and identity resolution

• Highly detailed wallet profiles with real-time activity feed

• Supports custom reports and visualizations using SQL and AI analytics

• User-friendly interface with quick setup

• Supports 40+ EVM chains

• Open source SDKs

• Privacy-friendly

Cons:

• Newer platform, ecosystem still growing

• Limited support for mobile attribution

2. Spindl

Features:

• Connects off-chain ad spend to on-chain outcomes

• Tracks conversions from ad clicks through NFT mints, token swaps, and contract calls

• Provides user LTV and retention insights

• Audience segmentation based on on-chain + off-chain behaviors

• Integrations and attribution bridges (e.g., AppsFlyer)

Pros:

• Integrates with Base Ads for streamlined Web3 ad tracking

• Measures marketing ROI by showing how ad spend translates into on-chain value

• Flexible dashboards for campaign reporting and audience analysis

Cons:

• Primarily built for marketing optimization, not detailed product analytics

• Limited depth for user activity, feature adoption, session flows

• Limited wallet intelligence

3. Cookie3

Features:

• User journey tracking from off-chain interactions to on-chain actions

• Community-focused analytics with token holder segmentation

• On-chain explorer for analyzing Web3 communities

• KOL intelligence: Scores influencers by engagement quality and bot detection

Pros:

• Ideal for community engagement and influencer marketing campaigns

• Measures ROI of social and creator campaigns

Cons:

• Less useful for product feature adoption or deep funnel analytics

• Limited customization of dashboards and reports

• Limited audience segmentation and wallet intelligence

• No real-time alerts

• No API

4. Safary

Features:

• Syncs Twitter (X) followers with on-chain data: discover wallet holdings and protocol usage

• Combines Web3 and Web2 data for enriched user profiles

• Filtering, sorting, and exporting for detailed profile analysis

Pros:

• Connects social audiences to on-chain behavior

• Reduces noise from bots and irrelevant accounts

Cons:

• Optimized for social-to-on-chain attribution, not full product analytics

• Limited utility for projects without strong social presence

• Developer APIs are restricted, less focus on granular event tracking

• Limited analytics capabilities compared to other players

• Limited support for mobile attribution

5. Addressable

Features:

• Matches wallet addresses with social profiles

• AI-driven campaign optimization and audience targeting

• Supports multi-channel campaigns across social and Web3 platforms

• Bridges Web2 and Web3 data for unified attribution

Pros:

• Support for ads with cost per wallet analytics

• Visibility into conversion funnels from ad engagement to on-chain actions

• AI-driven optimization reduces acquisition costs and improves targeting

• Supports cross-channel campaigns combining off-chain and on-chain results

Cons:

• Focused on advertising, with limited product analytics data

• Missing support for custom charts and dashboards

• Blockchain support is limited to 7 chains

• No real-time alerts

6. Dune

Features:

• SQL-based querying platform with customizable dashboards

• Community-driven ecosystem with pre-built dashboards and queries

• Supports multi-chain blockchain data

• APIs and data export for embedding insights

Pros:

• Highly flexible for building custom metrics, funnels, and reports

• Large community provides pre-built solutions and learning resources

• Strong for ad-hoc queries and protocol-level insights

Cons:

• Limited/no off-chain event tracking; first half of user journey data missing

• Requires SQL knowledge and technical expertise

• Not tailored for marketing attribution or product funnels

• Real-time performance may require additional infrastructure

• No attribution feature

How to Choose the Right Web3 Analytics Tool

Selecting the optimal analytics platform requires evaluating your specific needs and constraints:

• Define your goals: Determine whether you're focused on product analytics, marketing attribution, or social media growth. Teams prioritizing user behavior analysis and audience insights might prefer Formo, while teams focused on advertising ROI might choose Spindl or Addressable.

• Review ease of use: Evaluate how important no-code dashboards, simple SDK integration, and robust APIs are for your team. Technical teams comfortable with SQL might prefer Dune's flexibility, while growth-focused teams might benefit from Formo's user-friendly interface.

• Choose privacy-friendly solutions: Ensure the platform aligns with your commitment to user privacy and regulatory compliance. Look for tools that avoid invasive tracking methods and maintain high security standards.

• Evaluate cost and support: Compare pricing models and customer support quality. Consider both short-term costs and long-term viability as your protocol grows.

Making Data-Driven Decisions in Web3

The right Web3 analytics tool is essential for navigating the uncertainties of building onchain applications. Whether your goal is product optimization, marketing ROI improvement, or user growth, web3 analytics platforms provide the insights you need to make informed decisions.

Understanding your users' complete journey from initial discovery through onchain conversion and retention enables data-driven teams to optimize every touchpoint and accelerate sustainable growth.

Ready for a complete view of your onchain users? Get started with Formo for free and experience unified analytics built specifically for Web3 teams.

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