Decision FrameworkDecision layer

Basedash: Buy vs Skip (Agency Reporting Engagements)

IF your agency already runs client reporting on a maintained warehouse (PostgreSQL, Snowflake, BigQuery) and needs governed metrics plus embedded dashboards, THEN the Startup plan at $1000 USD per month covering up to 25 users, 750+ data sources, automations, and an MCP server is a defensible delivery cost against a reporting retainer. IF brand control or self-hosting is a hard client requirement, THEN defer until you have scoped the Enterprise tier, which gates self-hosting, embedding, audit logs, and custom AI models behind a contact-sales quote.

By InnovaAI ResearchPublished

Decision Frame

Basedash: Buy vs Skip (Agency Reporting Engagements)

“IF your agency already runs client reporting on a maintained warehouse (PostgreSQL, Snowflake, BigQuery) and needs governed metrics plus embedded dashboards, THEN the Startup plan at $1000 USD per month covering up to 25 users, 750+ data sources, automations, and an MCP server is a defensible delivery cost against a reporting retainer. IF brand control or self-hosting is a hard client requirement, THEN defer until you have scoped the Enterprise tier, which gates self-hosting, embedding, audit logs, and custom AI models behind a contact-sales quote.”

When is it the right choice?
  • Client reporting already sits on a maintainable warehouse or SaaS source such as PostgreSQL, Snowflake, or HubSpot, so the 750+ connectors map to data you can actually reach
  • The engagement needs governed metric definitions, and Basedash's semantic layer with reusable SQL metrics prevents two client dashboards from quoting different revenue numbers
  • You plan to embed interactive dashboards into a client product, which the Enterprise tier covers alongside self-hosting and audit logs
  • Delivery volume fits inside 25 users on the Startup plan at $1000 USD monthly, keeping per-seat cost predictable across a multi-client retainer
  • A productized analytics offer is on the roadmap, since a 60h setup engagement can be scoped against the $10,000 Analytics Starter fee and reused as a repeatable delivery template
When should you skip it?
  • The client expects fully white-labeled dashboards, because Basedash does not publish a white-label program and client-facing views will carry Basedash branding
  • No maintainable data pipeline exists on the client side, since the platform needs at least one connected database or SaaS tool before any dashboard can be built
  • Budget sits well under $1000 USD per month per client, as the Startup tier is the entry point and there is no documented lower-cost plan
  • The work depends on self-hosting, audit logs, or custom AI models from day one, because those sit in Enterprise and require a sales quote with no published price
  • The agency has no analyst or data engineer to define semantic-layer metrics, since natural language querying still depends on someone owning the governed definitions
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