DeepDAO proposal: Understanding and Improving the Governance Participation in ENS


Dealing with voter fatigue and finding the right onboarding incentives are points of struggle for every DAO. The fact that DAOs do not have any information on their non-participating members makes the puzzle harder. DeepDAO believes that it is possible to understand $ENS token holders down to their interest categories and activity patterns to point toward measures to improve voter participation.

We propose conducting a data-based segmentation of $ENS token holders to find out the largest segments of non-voters, voters with decaying participation scores, etc. to point toward the right onboarding steps/incentives for them.

How to address this

Governance activity in different DAOs provides valuable insights into the characteristics and preferences of wallet holders. It serves as a window into their interests, motivations, and potential contributions.

For example, taking a closer look at scottbeale.eth, we observe a strong inclination towards NFTs. This presents an opportunity for the DAO to leverage this interest by introducing governance badges or POAPs. These tangible incentives can not only recognize and reward active participants but also serve as a magnet for NFT enthusiasts, encouraging their engagement and involvement in the DAO’s decision-making processes.

Similarly, we can identify other categories of mass interest and introduce new initiatives to the DAO. For instance, if there is a substantial segment of members expressing interest in data analysis or research, establishing a dedicated research guild could be a strategic move. Having understood that the 100s of $ENS token holders are looking for gig work, the DAO could open more avenues for contribution for these people.

This proposal aims to create interest and activity-based segmentation of $ENS token holders so that the DAO can find methods to retain and onboard new addresses to ENS’s governance. Armed with this knowledge, ENS can optimize its governance processes, create better onboarding flows, prioritize new initiatives, and foster a more vibrant and engaged community.

Note that we aren’t directly incentivizing governance participation but trying to introduce genuine initiatives that make participation more attractive and more useful to a wider audience.


A very high-level plan of action for analyzing the 64k+ $ENS token holders:

  1. Get the DAO resumes of all $ENS token holders (granular activity & memberships), as aggregated by DeepDAO
  2. Based on (1): Label each address’s interest (NFTs, DeFi, Investments, Gaming, gig work, etc.) “Interest” is defined as membership or activity in a DAO category over a threshold. Label their activity on ENS (persistent voter, long-term dormant address, non-voter, an address that used to participate, an address that is getting less interested in participating over time, and more.)
  3. Repeat step 2 with different interest/activity categories to optimize the segmentation. We now have a well-segmented view of $ENS token holders with info on how large each segment is.
  4. Label bots & vote miners: recent research by DeepDAO identified voting miners’ activity across the DAO ecosystem. We use this data to check for malicious actors.
  5. Based on DeepDAO’s domain expertise in Web3 and governance, work with ENS to define the right incentives/onboarding steps for each segmented group.


  1. A report with analysis of all governance participants of ENS and non-active $ENS holders. This will answer questions like who are the primary participants, which are the largest segments of active, and inactive participants, which segments have the highest attrition/retention, etc.
  2. A CSV file with all $ENS token holders and their category interests, as reflected by the DAOs they vote in.
  3. Based on (1) & (2), a brainstorming session with ENS to come up with an action plan to onboard inactive segments of voters. One such step could be introducing NFT badges if we discover a large number of people who are interested in NFTs or starting guilds if we discover a segment of users that are looking for gig work.


Milestone 1:

DeepDAO dives deeper into $ENS holders and finalizes the optimal labels & interest categories.

Time required: 4 weeks from the start of the project

Milestone 2:

DeepDAO hands over deliverables (1) & (2)

Time required: 2 weeks from Milestone 1 completion

Milestone 3:

DeepDAO works with ENS on finalizing deliverable (3).

Time required: 2 weeks from Milestone 2

Funding Requested

We request a total funding of $15,000 with the following breakdown: 33% ($5,000) after Milestone 1 and the remaining 67% ($10,000) after Milestone 2.

The payments can be made in fiat currency or any liquid tokens.

About DeepDAO

DeepDAO is the #1 discovery and analytics engine for the DAO ecosystem. We aggregate, list, and analyze financial and governance data for over 12.5k DAOs and 6.9M governance token holders across different chains and governance platforms. DeepDAO is widely recognized in the ecosystem and media as the go-to source for data about DAOs.


What other DAOs have you worked with using this strategy and what were the outcomes?

(FYI I changed the category of this post as it relates to the DAO itself, so falls under the MetaGovernance working group)

1 Like

Thank you, @alisha.eth .
We still haven’t produced a similar report study, since multi-variance targeting of DAO behavior is new to most projects, and hereby we introduce new possibilities to it. We did get interested attention from two other major DAOs, discussing similar type of work.
The data side is battle-tested with whitelists already serving marketing clients, including among other types time-series, categories, and DAO score data; and covering also governance trends, similar-dao memberships and a host of other analysis also live and active on our API.

Would be great to discuss this more on the weekly MetaGov WG call. The next call is tomorrow (Tuesday) at 11am ET. You can join the Google Meet through THIS LINK or check out the details in THIS forum post.

1 Like