By leveraging deep learning to analyze cross-site user behavior and interest signals, AI expands high-value seed audiences and identifies new users with strong conversion potential—qualifying traffic for future conversion.

By combining configurable engagement time thresholds with anomalous traffic detection, the system proactively blocks bots and low-quality traffic—keeping spend focused on users with genuine conversion potential.

AI-powered real-time bidding (RTB) model predicts the expected value of each impression within milliseconds and dynamically adjusts bidding strategies based on performance goals—helping brands win high-value placements at optimal cost while reducing CPA and improving overall campaign efficiency.

By integrating reach across major media platforms—including news sites, LINE, Facebook, YouTube, and PTT—AI models consistently identify and engage the same high-value users across channels, reinforcing brand impact through repeated exposure while accelerating downstream conversion.

By integrating a wide range of creative formats—including display, native, video, livestream, and interactive creatives—the system dynamically selects the most effective presentation based on user preferences and browsing context, capturing attention through diverse visual experiences while reducing ad fatigue and significantly improving engagement and CTR.

Built on 15+ years of large-scale data and AI analytics, with 50M+ behavioral data points, the AI models significantly shorten the learning phase—enabling precise audience targeting and efficient acquisition performance from the very start of campaign delivery.