Ads Intelligence: AI Google Ads fleet platform

Overview

A digital marketing agency manages Google Ads for a large number of small business accounts under one manager account, and wanted one place to see how all of them are doing and which need attention. We built a pipeline that pulls the accounts' data from the Google Ads API and an internal web app on top of it: a fleet overview with spend, clicks, click-through rate, conversion rate and cost per conversion, an account page with a 90-day trend, and an AI diagnosis that compares an account with similar ones and suggests what to change.

The challenge

The accounts differ by market, category and spend, so a fair comparison needs the right peer group, and the figures only help if they are calculated the same way for every account and kept in step with Google Ads history.

What we built

1. A pipeline that reads Google Ads data across the manager account, with a historical sync so the numbers stay consistent
2. A fleet overview with search, filters by status, spend bucket and market, and sortable columns for spend, clicks, click-through rate, conversion rate and cost per conversion
3. An account page with the key metrics, a 90-day cost and conversions trend and a health status
4. An AI diagnosis that picks peer accounts by market type, category, spend bucket and tracking tier, shows the comparison criteria, and recommends changes; it can be refreshed and its prompt viewed
5. A tagging page for tracking tier classification, and automatic active and inactive account status
6. Geographic targeting settings and location-based performance reporting
7. Checks of the click-through, conversion-rate and cost-per-conversion calculations, and accurate broad-match keyword reporting
8. Sign-in and user management, and an administrator and operations guide