Tokenomics modeling workflow for treasury teams
Combine ChainUnified analytics, treasury snapshots, and scenario planning to build data-backed token models investors trust.
- Map circulating vs. locked supply across treasuries, investors, and incentives.
- Model vesting cliffs and liquidity runway using historical gas and volume data.
- Automate stakeholder updates with dashboards and templated exports.
Tokenomics isn’t static. Treasury and finance leads need live data to revise assumptions as network conditions shift. Follow this approach to ground every model in verifiable on-chain evidence.
Step-by-step workflow
- 1
Collect the right data
Import treasury wallets into Portfolio Tracker, connect DEX Analytics for liquidity positions, and sync Token Scanner risk scores. Label investor, team, ecosystem, and treasury allocations for clarity.
- 2
Model scenarios
Use historical gas prices, volume, and holder churn to forecast dilution, burn rates, and buyback requirements. Stress-test vesting schedules against different liquidity environments.
- 3
Share insights
Export charts, CSVs, and narrative insights for board decks or DAO proposals. Keep change logs so stakeholders understand assumption updates over time.
Recommended resources
Frequently asked questions
How often should we refresh the model?
Institutional teams update weekly or monthly. DAOs often align with voting cadences. Automate exports so refreshes take minutes, not days.
Can we share dashboards securely?
Yes. Grant read-only or investor access in ChainUnified so partners see live metrics without exposing private operations.