Workflow Adoption Drives Account Expansion

This is a land and expand model built around replacing one research habit at a time. Terminal gets Artemis into the investment workflow first, but the real account growth happens when analysts start pulling the same data into Sheets models, quant teams route it through API, and data teams pipe it into Snowflake. At that point, Artemis is no longer a website subscription, it is part of the firm’s daily research plumbing.

• The product stack is deliberately mapped to different users inside the same fund. Terminal serves discretionary investors, Sheets serves model building, API serves developers, and Snowflake serves central data teams. That means expansion can come from new workflows even if seat count stays flat.
  1 sacra
• This mirrors the playbook used by other institutional data vendors. Token Terminal also sells a progression from terminal style access to Sheets and API, while Allium sells deeper infrastructure to teams that want raw blockchain data inside internal systems. Artemis sits between those models, with a more analyst friendly surface and an infrastructure upsell path.
  1 sacra 4 tokenterminal 5 tokenterminal 6 allium
• Workflow adoption matters because the hardest part of crypto data is standardization. Artemis was built to normalize incompatible onchain activity into comparable metrics, so once a fund has models, dashboards, and internal reports built on those definitions, replacing the vendor means rebuilding shared assumptions across the team.
  2 sacra

The next step is for Artemis to move from supplying data to shaping decisions. If Analyst becomes the layer that turns the same underlying datasets into research notes, models, and monitoring, account expansion should accelerate further, because each new workflow would deepen dependence on one common data and thesis engine.