**X Sharpens Ad Targeting with AI**
(Breaking: X’s Ad Targeting Becomes More Granular with AI)
X announced a major upgrade to its advertising platform. The company now uses advanced artificial intelligence to help advertisers reach more specific audiences. This new AI-powered system analyzes user data more deeply. It considers interests, behaviors, and engagement patterns on the platform. The goal is to let businesses show their ads to people most likely to be interested.
Previously, targeting options were broader. Advertisers could choose categories like general hobbies or locations. The new AI system goes much further. It can identify niche interests and predict user intent with greater accuracy. For example, an advertiser selling running gear can now target users who recently searched for marathon training tips. They can also reach users who follow specific professional runners.
This granular targeting means ads should be more relevant to users. Businesses expect better results from their ad spending. They hope for higher click-through rates and more conversions. X stated the AI learns constantly. It adjusts targeting strategies based on real-time campaign performance data. This helps optimize ad delivery automatically.
(Breaking: X’s Ad Targeting Becomes More Granular with AI)
The update is rolling out globally now. All advertisers using the X platform can access these new AI features. The company believes this gives marketers a powerful tool. They can connect with potential customers more effectively than before. Industry experts note this move aligns X more closely with competitors. Other platforms also leverage AI for precise ad targeting. X emphasizes its unique access to real-time conversation data. This data provides fresh signals about user interests. The AI uses these signals to refine audience selection constantly. Advertisers manage campaigns through their existing X interfaces. They can set goals and budgets as usual. The AI handles the complex task of finding the right users at the right time. Initial tests showed promising results. Some brands reported improved return on ad spend during beta trials. The technology aims to simplify campaign management. It reduces the need for manual audience tweaking. Businesses large and small stand to benefit from this smarter targeting.