The Problem
Before this system, marketers spent 6–8 hours a week per person manually gathering metrics across campaigns and ad sets for Facebook and Instagram. Detecting underperforming ads was reactive — often 30–40% of low performers weren't optimized in time.
Scaling beyond 5–10 ad sets was difficult, and decisions leaned on intuition rather than data.
How It Works
The system pulls campaign, ad-set and ad-level data automatically — impressions, clicks, CTR, conversions, ROAS, CPA, spend and budget utilization — then cleans and normalizes it for analysis.
AI detects trends and anomalies, flags ads below benchmark CTR or ROAS, and generates optimization recommendations for budgets, targeting and creatives, prioritized by expected KPI impact. Real-time dashboards and automatic alerts surface deviations, and marketers can request campaign changes in natural language, with every adjustment tracked for its effect on KPIs.
Impact
- Reporting time cut from 6–8 hours to under 1 hour a week — roughly 7 hours back per marketer, ~364 hours a year
- 90% of underperformers flagged in real time — instead of being missed until the next manual review
- ROAS up 15–25% — from faster budget reallocation and creative optimization, within an hour instead of 1–2 days
- Scales from 10 to 50+ ad sets — without adding staff, with ~90% fewer manual adjustment errors
