How to optimize advertising

WHAT IS THE MACHINE LEARNING PHASE? HOW TO OPTIMIZE ADVERTISING WITH DISTRIBUTION SYSTEM?
THE MACHINE LEARNING PHASE is a necessary phase for the distribution system to optimize advertising most effectively, so this phase should not be overlooked or overlooked. Testing new content and marketing strategies is important in improving effectiveness over time.
Avoid making unnecessary edits that cause the ad set to start the machine learning phase again. Future edits that significantly change performance may cause the ad set to start running the learning phase again. You should only edit an ad or ad group when you have reason to believe it will improve performance.
Avoid creating too many ads. If you create many ads and ad groups, the delivery system will not understand each ad and ad group as well as if you focus on creating few ads but investing in quality content/images. If you combine similar ad groups together, the machine learning phase will also be less spread out
Use budget appropriately. If you set your budget too low or too high, the delivery system won't be able to determine exactly who to optimize for. Set your budget just large enough to optimize and avoid changing it frequently, as your ad set may have to start the learning phase again.

Define optimization or better, the effects of optimization.
Increase your ads’ click-through rates (CTR) Lower your ad campaign’s cost-per-click (CPC) Reach even more high-ROI audiences Lower your cost-per-acquisition (CPA) Increase your sales results without increasing your ad budget

Thanks Chatgpt.

This post is a bit random and lacks context but I assume we can share ideas on machine learning as a helper in advertising.

A concrete example of machine learning in ad tech would be TargetCPA bidding which is an algorithm using machine learning to optimise profitable sources for your ad campaigns. Or optimisation rules. What other automations do you guys know/use?