What is the most common type of AI-driven bidding strategy?

Target CPA and Target ROAS are the most widely used AI-driven bidding strategies. Both rely on machine learning to evaluate thousands of signals per auction and set bids automatically toward a defined cost or revenue goal.

How much data does AI bidding need to work well?

AI Smart Bidding performs best with at least 50 conversions per month. Below that threshold, the algorithm lacks enough signal to make accurate predictions, and performance becomes unreliable.

What is bid shading in programmatic advertising?

Bid shading is a technique that adjusts bids downward in first-price auctions to avoid overpaying while still winning the impression. It uses market price signals to find the lowest winning bid rather than the maximum bid.

How does reinforcement learning differ from standard automated bidding?

Reinforcement learning models learn by interacting with the auction environment directly and updating their bidding policy based on real outcomes. Standard automated bidding uses historical data to predict results rather than learning through live interaction.

When should you use Maximize Conversions instead of Target CPA?

Use Maximize Conversions when your primary goal is volume and you do not have a firm cost-per-conversion constraint. Target CPA is better when you need to control cost efficiency alongside conversion volume.

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