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Use case

Client reporting for marketing agencies

Agency client reporting and marketing agency reporting built around one workspace per client, with dashboards an AI data team builds and maintains for you.

Last updated Monday, Aug 10, 2026

Agencies live or die by how fast they can turn a client's raw campaign and web data into a report that client trusts. OptimaFlo gives each client their own isolated workspace, and an AI data team that connects the data and builds the dashboard, so client reporting stops being the thing your best analyst rebuilds from scratch every month.

Where agency reporting breaks down

  • "Every client uses a different mix of platforms, so every report is a custom build."
  • "We reuse last month's dashboard and hope nothing about the client's setup changed."
  • "A client asks 'how did that one campaign do' and it takes a day to pull an answer."
  • "Data from two clients living in the same spreadsheet is a mistake waiting to happen."

One workspace per client, one team per workspace

Each client gets an isolated workspace with its own Apache Polaris data catalog, so their connected sources, tables, and dashboards never mix with another client's. The Ingestion Engineer connects whatever that client's stack actually is, a database, a REST API, or GA4, without you writing a new integration per client. The Data Engineer builds the pipeline for that workspace's campaign, spend, and web data, and the BI Developer builds the client-facing dashboard, refined through conversation instead of a redesign ticket every time a client's needs shift slightly.

For the ad-hoc question that comes in between reporting cycles, the Analyst answers directly against that client's connected data in plain English, so "how did the spring campaign perform" gets answered the same day it is asked.

Starting a client on the stack

Connecting a new client is meant to be a same-week task, not a quarter-long onboarding. See how the AI data team works on a request end to end, or browse the full role lineup every workspace gets.

Standard is $50,000 a year and includes all seven roles. Reach out about scaling across multiple client workspaces as your agency grows.

Frequently asked questions

Yes. Each workspace gets its own Apache Polaris catalog, so a client's connected sources, tables, and dashboards stay isolated from every other client's workspace, not partitioned by a shared filter that could leak across accounts.

The BI Developer builds a dashboard once for a client's connected sources, then you can direct it to adjust chart types, layout, and metrics by describing the change in plain English, faster than rebuilding from scratch for the next client.

Through database connectors (Postgres, MySQL, BigQuery, Redshift) and the REST API connector for anything that exposes a JSON or CSV API, plus the built-in GA4 connector for web analytics. Whatever a given client already uses gets connected per workspace.

The Analyst answers plain-English questions directly against a client's connected data and returns charts and tables, so a one-off question does not require opening a dashboard-building ticket.

Pricing is per plan, not per client workspace count alone; Standard is $50,000 a year. Talk to us about a multi-workspace agency setup as your client count grows.

See the whole team in action on the AI data team overview or browse every use case.

Staffed, not self-serve

See your AI data team work on your own data.

Now in early beta. One flat plan, no per-query tax. Runs in your cloud, and your tables stay in your account.