Hi @AndrewG the news on Tropykus is unfortunate. Thanks for requesting feedback on the updated M3 scope.
Two observations:
1) DApp outreach
With Tropykus winding down, it would be useful to get a fuller picture of the outreach effort. Some thoughts:
The outreach table shows Bedrock and Boltz as rejected, and eight teams with no reply.
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For the rejections: did these teams explicitly decline, or did Blockscout step back? What were the main reasons—technical constraints, lack of demand, concerns around the Dynamic provider, or something else?
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For the no-reply group: are these teams actively building on Rootstock, or largely inactive?
This context will help the ecosystem determine whether limited DApp traction is primarily a wallet issue, an ecosystem maturity issue, or a BD execution issue.
More broadly, granular visibility into DApp outreach efforts increase the learning value of this work for the ecosystem.
2) User data and engagement
The M2 retention data showed some encouraging signals—a 9-day median return gap and 35 users active after 4+ weeks. For M3, it would be valuable to go deeper, especially given the promotional mix used for acquisition.
The launch included:
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Badge mint (738 mints)
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AMA
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X campaign
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Email newsletter to 300K+ subscribers
It would be useful to read you insights based on the data regarding conversion and engagement:
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Badge-driven acquisition often results in one-time engagement. Are there insights on how the 738 badge minters behaved relative to the 1,694 total users?
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A 300K newsletter yielding 1,694 users suggests relatively low conversion—any insight into audience mismatch (Rootstock vs. Blockscout subscribers) or whether the wallet proposition didn’t resonate broadly?
For the M3 report, it would be especially valuable to connect acquisition → behavior → retention. Some thoughts:
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Can badge minters be segmented from organic users in retention metrics?
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Do returning users skew toward specific acquisition channels?
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What actions are returning users taking—transactions, or just logins?
Ultimately, these are insights to understand the cost per acquired user vs. cost per retained user. Again more granular data on user journeys and engagement metrics would significantly increase the value of the report, helping the ecosystem understand not just how users were acquired, but what actually drives retention.