Count pricing guide details
Pricing Overview
Count uses a freemium pricing model with transparent, per-user pricing and no base fees. The platform starts with a genuinely usable free tier and scales through Pro ($49/user/month) and Scale ($69/user/month) plans, with an Enterprise option for larger deployments. What stands out is that viewer seats are included in every tier -- a meaningful differentiator in the BI space where viewer licensing often doubles or triples the effective cost. Count positions itself as a collaborative analytics canvas that combines AI-driven analysis with traditional SQL and visual exploration, and its pricing reflects a bet on per-editor simplicity rather than the consumption-based models increasingly common among competitors. Starting at $0 with a 14-day trial available for paid plans and no credit card required, the barrier to entry is low.
Plan Comparison
Count offers four distinct tiers, each building on the previous one with additional collaboration and governance capabilities.
| Plan | Price | Best For |
|---|---|---|
| Free | $0/month | Individual analysts exploring the platform, personal projects, and proof-of-concept work |
| Pro | $49/user/month | Small analytics teams that need collaboration features and shared canvases |
| Scale | $69/user/month | Growing organizations requiring enterprise governance, permissions, and semantic layer capabilities |
| Enterprise | Custom quote | Large deployments needing advanced security, dedicated support, and custom integrations |
The jump from Free to Pro is where the real value unlocks. At $49/user/month, you get the collaborative canvas that makes Count distinctive -- the ability to work alongside AI agents, share analyses in real-time, and build on each other's work. The Scale tier at $69/user/month adds the governance layer (fine-grained permissions, audit capabilities, and the Count Metrics semantic layer) that organizations with compliance requirements will need. The $20/user gap between Pro and Scale is reasonable for the enterprise-grade controls you gain.
We think the Pro tier hits the sweet spot for most teams getting started with Count. The Scale tier becomes essential once you have more than a handful of editors who need governed access to shared metrics.
Hidden Costs and Considerations
Count's "no base fees, no hidden costs" messaging is refreshing, but there are still factors to budget for. Your data warehouse costs remain separate -- Count connects to BigQuery, , , and others, and heavier AI-driven analysis will generate more warehouse queries. The query and semantic layer caching helps control this, but teams running frequent AI analyses should monitor warehouse spend closely. Annual vs. monthly billing differences are worth negotiating directly. Also consider that while viewer seats are free, every editor who needs to write queries or build canvases counts toward your per-user cost.