Table Of Contents

1. Background

2. Objectives

3. Scope

4. Research Methodology

4.1 Data Collection

4.2 Data Analysis

5. Data Collection

6. Data Analysis

6.1 Activity Duration: Compare how long Badgeholders have been active on Superchain chains versus non-Badgeholders

6.2 Cross-Chain Activity: Analyze Badgeholders' activity on Superchain chains relative to other chains and compare with non-Badgeholders

6.3 Activity Levels: Determine the percentiles of activity for Badgeholders compared to other active Superchain chain users

6.4 Activity Distribution: Assess BadgeHolder activity across categories such as Social, NFTs, DeFi, DAO governance, and others, and compare with non-Badgeholders

6.5 Application Usage: Identify the applications used by Badgeholders, such as DEXs and social apps, and compare with non-Badgeholders

6.6 Farcaster Verification: Determine the percentage of Badgeholders who have connected their Ethereum address to a Farcaster account and analyze their activity across all connected applications

6.7 Smart Contract Deployment: Find out the percentage of Badgeholders who have deployed smart contracts to Optimism from their Ethereum accounts

6.8 Temporal Differences: Investigate meaningful differences between Badgeholders who became Badgeholders in earlier rounds versus later rounds. This could include variations in activity levels, category engagement, or application usage

7. Summary

8. Resources

Background

The Foundation Mission Request aims to enhance the understanding of Badgeholders within the Optimism ecosystem. By analyzing the onchain activity of Badgeholders and comparing it with non-Badgeholders, this research intends to provide insights into the behavior and engagement of these two groups. The primary goal is to gather baseline data to support the expansion of the Citizenry, ensuring informed decisions can be made regarding the future of Citizenship within the ecosystem.

Objectives

The primary objective of this research is to gain a detailed understanding of the on-chain activities of Badgeholders compared to non-Badgeholders across various blockchain ecosystems, including Superchain chains (Optimism, Base, Zora, Mode) and non-Superchain chains (Arbitrum, Ethereum). The specific objectives include:

1. Account Activity Analysis:
   • Compare the average age of Badgeholder accounts with non-Badgeholder accounts.
   • Investigate any correlation between account age and the number of transactions performed on Superchain chains.
2. Engagement Trends:
   • Analyze the changes in the number of active Badgeholders and non-Badgeholders on Superchain chains over time.
   • Determine the proportion of Badgeholders and non-Badgeholders who have been active for more than 6 months, 1 year, and 2 years.
3. Cross-Chain Activity:
   • Compare the average number of transactions performed by Badgeholders and non-Badgeholders on Superchain chains versus other chains.
   • Assess the distribution of transaction counts across different chains for both groups.
   • Examine the changes in transaction counts over time on Superchain and other chains.
4. Activity Distribution:
   • Evaluate Badgeholder activity across categories such as Social, NFTs, DeFi, and DAO Governance.
   • Compare this activity with that of non-Badgeholders within the same categories.
5. Application Usage:
   • Identify the top applications used by Badgeholders on Superchain chains, focusing on DEXs and NFT platforms.
   • Analyze changes in the usage of different applications by Badgeholders over time.
6. Farcaster Verification:
   • Determine the percentage of Badgeholders who have connected their Ethereum address to a Farcaster account.
   • Compare the activity levels of Badgeholders with and without Farcaster verification on Superchain chains.
   • Explore the correlation between the number of addresses connected to a Farcaster account and the activity level of Badgeholders.
7. Temporal Differences:
   • Investigate the activity levels of Badgeholders from earlier rounds compared to later rounds.
   • Identify significant differences in category engagement between Badgeholders from different rounds.