
Intro to Wallet Marketing
As more wallet-level data becomes available, advertisers begin using it for targeting and outreach. Here we give an overview of the emerging field of wallet marketing. This is a research report from Superdao, an all-in-one DAO platform with $11.5M in funding. In December 2022, we launched Superdao Growth, a new platform for wallet marketing. https://go.superdao.co/2LBZ1KWallet data explosionIn 2022, there are at least 50-100M monthly active wallets. User wallets contain public info on financi...

Web3 Growth Trends 2023
In this report you will find an overview of the Web3 market, focusing on user activity and behavior. It is structured into three key sections: Web3 Market Size, Benchmarking the Leaders, and Key Personas and Behavior Patterns, each offering a unique perspective and accurate analysis of the web3 landscape. For this report, we’ve indexed 300M+ wallets on the Ethereum and Polygon networks and obtained DAO voters’ data from the Snapshot API. Learn more about how we calculated metrics for the repo...

How We Collected 75k Crypto Wallets in 5 Weeks
Here at Superdao, we're passionate about web3 and believe it can change the world. So we decided to check how deeply our team knew the subject. We created 31 questions covering the basics of web3 and blockchain just to test ourselves. Then, in November 2022, we made it public and shared it on social media. It went viral and got us 75k+ new emails and crypto wallets. Wondering how we did that? Here's the story. But first things first, here’s a little intro to what Superdao is. Superd...
Wallet analytics platform built for Web3 growth teams.



Intro to Wallet Marketing
As more wallet-level data becomes available, advertisers begin using it for targeting and outreach. Here we give an overview of the emerging field of wallet marketing. This is a research report from Superdao, an all-in-one DAO platform with $11.5M in funding. In December 2022, we launched Superdao Growth, a new platform for wallet marketing. https://go.superdao.co/2LBZ1KWallet data explosionIn 2022, there are at least 50-100M monthly active wallets. User wallets contain public info on financi...

Web3 Growth Trends 2023
In this report you will find an overview of the Web3 market, focusing on user activity and behavior. It is structured into three key sections: Web3 Market Size, Benchmarking the Leaders, and Key Personas and Behavior Patterns, each offering a unique perspective and accurate analysis of the web3 landscape. For this report, we’ve indexed 300M+ wallets on the Ethereum and Polygon networks and obtained DAO voters’ data from the Snapshot API. Learn more about how we calculated metrics for the repo...

How We Collected 75k Crypto Wallets in 5 Weeks
Here at Superdao, we're passionate about web3 and believe it can change the world. So we decided to check how deeply our team knew the subject. We created 31 questions covering the basics of web3 and blockchain just to test ourselves. Then, in November 2022, we made it public and shared it on social media. It went viral and got us 75k+ new emails and crypto wallets. Wondering how we did that? Here's the story. But first things first, here’s a little intro to what Superdao is. Superd...
Wallet analytics platform built for Web3 growth teams.
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Unlike web2, where activities are private and limited to individual apps, web3 users participate in visible transactions on-chain. These users are identified as wallets and engage in token holdings, NFT projects, and smart contract deployments, generating a wealth of data for marketers and growth leaders to leverage for better user acquisition and growth strategies.
This guide provides an in-depth look at wallet analytics in web3, covering the available types of data and how to collect them. It also offers insights on how to utilize this data to make informed decisions, along with the necessary tools to accelerate the growth of web3 projects.
Wallet analytics involves gathering and analyzing data from wallets and web2 sources to gain insights into individual and group user behavior on the blockchain. Let’s break down this process into three key actions:
Blockchain indexing
The first step in analyzing blockchain data is called blockchain indexing. This involves collecting data from public on-chain sources, such as NFT and token possessions, smart contract interactions, and other activities linked to wallet addresses.
You can gain a complete understanding of a wallet’s behavior by gathering data from all the chains it interacts with, examining transaction history, and aggregating all the data. To ensure that the analyzed data is both accurate and relevant, you can remove wallets that don’t belong to individuals.
De-anonymization
The second step is de-anonymization, which involves linking web3 data with web2 data. By inferring the user’s Twitter account, Discord ID, or email, you can gain a better understanding of their behavior. You can also combine on-chain data with private off-chain sources that are available only to your app, such as users’ purchase information, location, IP address, and cookies, to gain even greater insights.
Wallet сlassification
In the third step, you categorize wallets. This involves developing an algorithm or classification system to determine whether a wallet belongs to a human, a bot, or a non-human entity, such as financial storage, a smart contract component, or a developer use case. You can group wallets into various categories, such as influencers, spammers, traders, newbies, airdrop hunters, professionals, active users, churned users, and others, to gain a deeper understanding of your audience and your competitors.
Wallet analytics can have a significant impact on businesses in the areas of strategy, acquisition, and revenue growth. Here are the main use cases:
Market sizing. Understand and expand your potential using the following approaches:
Look-alike sizing. Analyze how many wallets in the market have similar properties to your existing customer base. For example, you can find NFT holders similar to your collection's owners.
Rule-based sizing. Create rules for defining the market and ask a wallet analytics service, such as Superdao, to assist. The rules might require finding wallets with a balance of $1,000 or more, or ones that have had a transaction in the last month.
Understanding users. Get valuable insights into user behavior such as:
Demographics like location, age, gender, and income
Interests and preferences, such as recent NFT purchases or event engagements
Quality metrics that detect non-human spammers and identify high-quality leads
User intentions, such as whether they are motivated by incentives or genuinely interested in your product
Professional occupation
Executive reporting. Marketing and growth teams can use wallet data to build dashboards and generate executive reports that:
Highlight the growth of their user base
Gain insights into wallet quality
Compare their wallet data to that of competitors
Analyze users' total wallet balance to understand their trading, storage, or staking potential
Benchmarking. Analyze sign-up rates and wallet quality of similar projects. If a competing project with a similar target audience has higher sign-up rates or attracts wallets with higher average balances, rethink the marketing strategy or optimize the conversion funnel to improve results.
Finding new partners. Consider partnering with collections that share your target audience, as the Heterosis collection did with CryptoKitties and 10 other collections. Use the following approach:
Analyze the overlap between your NFT collection and your customers' collections
Reach out to collections with significant overlap to discuss cross-promotion opportunities
Use newsletters, Discords, and social media to promote each other's collections
Influencer marketing. Tap into a ready-made audience that is interested in your product. Follow the steps:
Identify active web3 users with a significant Twitter following among your audience
Gain insights into their behavior and preferences
Create targeted content that resonates with their interests and engages their followers
Marketing channel prioritization. Identify channels more suitable for your target audience or with a higher ROI. Here’s how you do it:
Track the source of sign-ups, including partner/custom links and UTM tags
Evaluate the value of channels based on their ability to bring in active and engaged users
Prioritize channels with active web3 users involved in similar projects over those who bring in large numbers of empty wallets
VIP alerts: Get notifications when high-value wallets sign up, offer them personalized services or special offers
Abandoned carts: Identify users who have signed up but not transacted, and encourage them to continue
Dormant users: Identify users who have stopped using your product and try to win them back. Effective for trading apps and marketplaces that generate income from commissions.
Personalized promotions: Offer discounts and special promotions based on wallet history and classification
Recommendations: Suggest products and services based on users' wallet history and behavior
Competitive interventions: Offer rewards or incentives to lure users back from other projects. Blur became a notable rival to OpenSea by adopting this approach.
Here are some ways in which we anticipate wallet analytics will evolve:
Wallet-targeted ads
In the coming years, we expect the emergence of relatively low-cost advertising networks that allow you to upload a list of wallets you find interesting (including abandoned carts and look-alike audiences) and automatically target them with customized messages. These networks will only target wallets that are relevant to your needs.
Automated messaging
Promotions, messaging, return invites, and special offers that were previously implemented outside of the growth system will now be integrated into the growth platform. From within the CRM, users will be able to send a message or configure an automatic, trigger-based message that would appear in emails, SMS, or within the product, in the form of notifications, etc.
Product analytics
We expect the development of a single, all-encompassing system that collects both on-chain data on wallet activities (such as NFT and token possession, smart contract interaction, etc.) and off-chain data on how users interact with your and other products (such as signups, page views, registration details, device usage, and favorites).
By combining on-chain and off-chain sources, product teams can measure which sources bring high-quality wallets as well as better understand user engagement, identify popular features, investigate reasons for user churn, and find new opportunities to improve the user experience.
Superdao Analytics is a leading solution that indexes over 30 million wallets. It includes personal labels, wallet balances, Twitter accounts, and other relevant information.
To gain free beta access for your project, fill out this form and submit a request for any individual wallet lists you want to analyze. If approved, you'll receive an instant analysis of any wallet list based on direct upload of the wallets, individual smart contracts, or even your competitors.


Web3 users participate in visible transactions on-chain, generating a wealth of data for marketers and growth leaders to leverage for better user acquisition and growth strategies.
Wallet analytics involves gathering and analyzing data from wallets and web2 sources to gain insights into individual and group user behavior on the blockchain.
The process can be broken down into three key actions: blockchain indexing, de-anonymization, and wallet classification.
Wallet analytics can help businesses in the areas of strategy, acquisition, and revenue growth.
Yury Lifshits,
Superdao CEO Twitter · Website
<div data-type="subscribeButton"></div>
Unlike web2, where activities are private and limited to individual apps, web3 users participate in visible transactions on-chain. These users are identified as wallets and engage in token holdings, NFT projects, and smart contract deployments, generating a wealth of data for marketers and growth leaders to leverage for better user acquisition and growth strategies.
This guide provides an in-depth look at wallet analytics in web3, covering the available types of data and how to collect them. It also offers insights on how to utilize this data to make informed decisions, along with the necessary tools to accelerate the growth of web3 projects.
Wallet analytics involves gathering and analyzing data from wallets and web2 sources to gain insights into individual and group user behavior on the blockchain. Let’s break down this process into three key actions:
Blockchain indexing
The first step in analyzing blockchain data is called blockchain indexing. This involves collecting data from public on-chain sources, such as NFT and token possessions, smart contract interactions, and other activities linked to wallet addresses.
You can gain a complete understanding of a wallet’s behavior by gathering data from all the chains it interacts with, examining transaction history, and aggregating all the data. To ensure that the analyzed data is both accurate and relevant, you can remove wallets that don’t belong to individuals.
De-anonymization
The second step is de-anonymization, which involves linking web3 data with web2 data. By inferring the user’s Twitter account, Discord ID, or email, you can gain a better understanding of their behavior. You can also combine on-chain data with private off-chain sources that are available only to your app, such as users’ purchase information, location, IP address, and cookies, to gain even greater insights.
Wallet сlassification
In the third step, you categorize wallets. This involves developing an algorithm or classification system to determine whether a wallet belongs to a human, a bot, or a non-human entity, such as financial storage, a smart contract component, or a developer use case. You can group wallets into various categories, such as influencers, spammers, traders, newbies, airdrop hunters, professionals, active users, churned users, and others, to gain a deeper understanding of your audience and your competitors.
Wallet analytics can have a significant impact on businesses in the areas of strategy, acquisition, and revenue growth. Here are the main use cases:
Market sizing. Understand and expand your potential using the following approaches:
Look-alike sizing. Analyze how many wallets in the market have similar properties to your existing customer base. For example, you can find NFT holders similar to your collection's owners.
Rule-based sizing. Create rules for defining the market and ask a wallet analytics service, such as Superdao, to assist. The rules might require finding wallets with a balance of $1,000 or more, or ones that have had a transaction in the last month.
Understanding users. Get valuable insights into user behavior such as:
Demographics like location, age, gender, and income
Interests and preferences, such as recent NFT purchases or event engagements
Quality metrics that detect non-human spammers and identify high-quality leads
User intentions, such as whether they are motivated by incentives or genuinely interested in your product
Professional occupation
Executive reporting. Marketing and growth teams can use wallet data to build dashboards and generate executive reports that:
Highlight the growth of their user base
Gain insights into wallet quality
Compare their wallet data to that of competitors
Analyze users' total wallet balance to understand their trading, storage, or staking potential
Benchmarking. Analyze sign-up rates and wallet quality of similar projects. If a competing project with a similar target audience has higher sign-up rates or attracts wallets with higher average balances, rethink the marketing strategy or optimize the conversion funnel to improve results.
Finding new partners. Consider partnering with collections that share your target audience, as the Heterosis collection did with CryptoKitties and 10 other collections. Use the following approach:
Analyze the overlap between your NFT collection and your customers' collections
Reach out to collections with significant overlap to discuss cross-promotion opportunities
Use newsletters, Discords, and social media to promote each other's collections
Influencer marketing. Tap into a ready-made audience that is interested in your product. Follow the steps:
Identify active web3 users with a significant Twitter following among your audience
Gain insights into their behavior and preferences
Create targeted content that resonates with their interests and engages their followers
Marketing channel prioritization. Identify channels more suitable for your target audience or with a higher ROI. Here’s how you do it:
Track the source of sign-ups, including partner/custom links and UTM tags
Evaluate the value of channels based on their ability to bring in active and engaged users
Prioritize channels with active web3 users involved in similar projects over those who bring in large numbers of empty wallets
VIP alerts: Get notifications when high-value wallets sign up, offer them personalized services or special offers
Abandoned carts: Identify users who have signed up but not transacted, and encourage them to continue
Dormant users: Identify users who have stopped using your product and try to win them back. Effective for trading apps and marketplaces that generate income from commissions.
Personalized promotions: Offer discounts and special promotions based on wallet history and classification
Recommendations: Suggest products and services based on users' wallet history and behavior
Competitive interventions: Offer rewards or incentives to lure users back from other projects. Blur became a notable rival to OpenSea by adopting this approach.
Here are some ways in which we anticipate wallet analytics will evolve:
Wallet-targeted ads
In the coming years, we expect the emergence of relatively low-cost advertising networks that allow you to upload a list of wallets you find interesting (including abandoned carts and look-alike audiences) and automatically target them with customized messages. These networks will only target wallets that are relevant to your needs.
Automated messaging
Promotions, messaging, return invites, and special offers that were previously implemented outside of the growth system will now be integrated into the growth platform. From within the CRM, users will be able to send a message or configure an automatic, trigger-based message that would appear in emails, SMS, or within the product, in the form of notifications, etc.
Product analytics
We expect the development of a single, all-encompassing system that collects both on-chain data on wallet activities (such as NFT and token possession, smart contract interaction, etc.) and off-chain data on how users interact with your and other products (such as signups, page views, registration details, device usage, and favorites).
By combining on-chain and off-chain sources, product teams can measure which sources bring high-quality wallets as well as better understand user engagement, identify popular features, investigate reasons for user churn, and find new opportunities to improve the user experience.
Superdao Analytics is a leading solution that indexes over 30 million wallets. It includes personal labels, wallet balances, Twitter accounts, and other relevant information.
To gain free beta access for your project, fill out this form and submit a request for any individual wallet lists you want to analyze. If approved, you'll receive an instant analysis of any wallet list based on direct upload of the wallets, individual smart contracts, or even your competitors.


Web3 users participate in visible transactions on-chain, generating a wealth of data for marketers and growth leaders to leverage for better user acquisition and growth strategies.
Wallet analytics involves gathering and analyzing data from wallets and web2 sources to gain insights into individual and group user behavior on the blockchain.
The process can be broken down into three key actions: blockchain indexing, de-anonymization, and wallet classification.
Wallet analytics can help businesses in the areas of strategy, acquisition, and revenue growth.
Yury Lifshits,
Superdao CEO Twitter · Website
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