AI and machine learning are built into many ad platforms. They analyse past results to adjust bids, placements and creative, and can reduce manual work. They do not guarantee better results: outcomes depend on data quality, goals, creative and budget, and systems should be monitored.

  • Predictive analytics: estimating which audiences or times are likely to respond.
  • Creative generation: producing variations of copy and images for testing.
  • Fraud detection: filtering invalid clicks and impressions.
  • Bid optimisation: adjusting bids towards set goals.
Feature AI/ML Contribution
Ad personalisation Matches content to context or consenting audiences
Budget allocation Shifts spend towards better-performing placements
Retargeting Re-engages past visitors within platform and privacy rules