Definition #
ML systems dynamically adjusting bids, creatives, and targeting across ad platforms.
Key Characteristics #
- Cross-channel attribution
- Creative A/B testing at scale
- Fraud detection
- ROAS prediction
Why It Matters #
Increases CTR by 35% and reduces CAC by 50% (Google Ads benchmarks).
Common Use Cases #
- Programmatic media buying
- Social media ad rotation
- Landing page optimization
Examples #
- Google Performance Max
- Albert.ai
- Adobe Advertising Cloud
FAQs #
Q: Budget control?
A: Systems auto-allocate funds to top-performing channels hourly.
Q: Creative limitations?
A: Generates 100s of variants from master assets using GANs.