AI is now widely being used in marketing and advertising. One common use os to use AI to create marketing creatives but some ad networks are heavily using AI to optimize placement automatically. Have you seen measurable improvements with AI-driven targeting, or is manual control still better?
Can AI Targeting Improve Ad Network Performance?
- Thread starter koyala
- Start date
AI targeting can significantly improve ad network performance. It helps by analyzing user behavior, interests, and context to show more relevant ads, which usually increases click-through rates and conversions while reducing wasted impressions.
But it’s not perfect. Over-targeting can feel intrusive, and poor data can lead to inaccurate predictions.
But it’s not perfect. Over-targeting can feel intrusive, and poor data can lead to inaccurate predictions.
AI targeting improves efficiency by lowering costs and scaling optimization faster than manual methods, especially with enough data. However, manual control still performs better for brand strategy, early testing, and high-value products. Most effective campaigns now combine AI-driven delivery with human creative direction and oversight.