Atlas Fintech · Fintech
A Unified Analytics and Attribution Dashboard Connecting Spend to Revenue
Integrations
The Challenge
Data lived in silos across ad platforms, the product database, and a CRM. Attribution was last-click only, executives argued over which channels actually drove signups, and monthly reporting took a week to assemble.
The Solution
We built a warehouse-backed analytics layer that ingests GA4, ad platform, and CRM data, then applies a multi-touch attribution model. A self-serve dashboard exposed channel ROI, cohort retention, and pipeline contribution, refreshed automatically every morning.
The Results
- Reporting time cut from 5 days to near real-time
- Multi-touch attribution replaced last-click guesswork
- 19% of budget reallocated to higher-ROI channels
- Shared dashboard adopted across marketing, product, and finance
“The arguments about which channel works stopped the day everyone could see the same attribution model.”
Illustrative example. This case study is a composite scenario created to demonstrate our approach. It does not describe a specific real client.
What we did
Atlas Fintech had no shortage of data, only a shortage of agreement. We consolidated GA4, ad platform, and CRM sources into a warehouse and applied a multi-touch attribution model that reflected the real buyer journey.
A self-serve dashboard gave every team the same view of channel ROI, retention, and pipeline contribution, refreshed every morning without manual work.
With a shared source of truth, budget moved toward what actually drove revenue.