A brand running Meta Ads, Shopify, and Klaviyo. Revenue down 32% in 14 days. Spend unchanged. The AI finds the root cause in 4 seconds.
Revenue is down 32% over 14 days. Spend is unchanged. Something is seriously wrong — but what?
| Campaign | Spend | ROAS | CAC | CPM | CTR | Freq | Status |
|---|---|---|---|---|---|---|---|
| Prospecting — Broad | $8,240 | 1.4x ↓ | $91 | $32 | 1.1% | 4.8 ⚠ | CRITICAL |
| Retargeting — 30d | $3,820 | 3.4x | $42 | $18 | 3.8% | 2.1 | OK |
| Lookalike — LTV Top 10% | $4,180 | 2.1x ↓ | $78 | $26 | 2.2% | 3.4 | WATCH |
| EOFY Promo | $7,940 | 1.2x ↓↓ | $108 | $38 | 1.6% | 5.2 ⚠ | CRITICAL |
Look at the metrics and flag what you think is causing the revenue decline. Then compare with what the AI found — in seconds.
The pipeline ran all 14 stages simultaneously. Here's what it found — and what you likely missed.
Adjust inputs and watch the AI re-project outcomes in real time. No spreadsheets. No guesswork.
The AI that sees first, acts first. Real-time signals, causal attribution, and an autonomous plan — not a dashboard you check after the damage is done.