Growth Atlas AI came out of a familiar problem: a capable marketing team held back by its tooling. The strategy was solid, but the analytics workflow lived in spreadsheets, and that ceiling capped how much the operation could scale. Our job was to rebuild the operating layer of the business as a real product.
Challenge
The client ran their marketing analytics workflow in spreadsheets - manual data entry, inconsistent updates, and no easy way to track performance across multiple accounts. Growth was capped by the operational ceiling of the tooling.
Turn a manual, spreadsheet-based workflow into an automated analytics platform: remove repetitive manual work, surface insights in real time, support growth across multiple accounts, and architect the whole thing for SaaS productization from day one.
Approach
We built a multi-organization analytics platform with real-time dashboards, automated data sync from marketing sources, AI-driven growth projections, and automated reporting - production-ready and SaaS-architected from day one.
Complex data management. Managing multiple accounts in spreadsheets meant constant manual data entry, no real-time updates, and no clean way to compare performance across accounts. We built a multi-organization architecture with secure role-based access control, plus automated data synchronization that pulls from the marketing sources the team relies on.
What we delivered
Automated data entry and reporting - replacing manual spreadsheet compilation Real-time dashboard access - instead of reports assembled by hand Automated data synchronization - from the marketing sources the team uses AI-driven growth projections - forward-looking forecasts for key metrics
