Key Takeaways
- Choosing the Right Strategy
- Setting Realistic Targets
- Managing the Learning Phase
Smart Bidding uses machine learning to optimize bids at auction time based on signals no human can process — device, location, time, browser, and audience overlap. Used correctly, it consistently outperforms manual bidding for accounts with sufficient conversion data.
Choosing the Right Strategy
Maximize Conversions: good for new campaigns building conversion data. Target CPA: best for lead generation with a defined cost-per-lead target. Target ROAS: best for e-commerce where revenue is the primary metric. Maximize Conversion Value: for e-commerce without a specific ROAS target.
Setting Realistic Targets
Set CPA targets 20–30% above your current CPA to give the algorithm room to operate. Setting targets too aggressively reduces volume as the algorithm struggles to find qualifying auctions. Tighten targets gradually as volume stabilizes.
Managing the Learning Phase
Smart Bidding enters a learning phase after any significant change. During this period (typically 1–2 weeks and 50+ conversions), performance may fluctuate. Avoid making changes during the learning phase — it resets the clock.
Quick Facts
The OwlClaw team brings together specialists in SEO, paid media, social marketing, and AI automation — delivering measurable growth for 150+ businesses across India.