Ad2iction has rolled out an enhanced Ad2 AI Audience platform that shifts from traditional tracking methods to predictive AI modeling by compiling retail transaction data, consumer intent signals, content engagement metrics and ad interaction indicators. The upgrade aims to refine audience segmentation and improve predictive accuracy for marketing campaigns.

The solution taps anonymized retail transaction data from leading Taiwanese financial platforms alongside intent and engagement signals from e-commerce ecosystems and major commerce channels. These multi-dimensional datasets enable dynamic AI audience models that update in real time as consumer behaviors evolve.

Since early May, the upgraded AI Audience and new Immersion format have been implemented in over 200 advertising campaigns across Taiwan, serving more than 370 brands spanning 35 industry categories. Brands deploying the solution include major consumer goods firms and large e-commerce platforms seeking enhanced engagement.

This launch underscores TNL Mediagene’s 2026 strategy to expand AI-driven products and audience intelligence capabilities beyond traditional media operations. The company plans further AI-assisted creative and data analytics enhancements to support adaptive marketing decision-making in an increasingly zero-click, fragmented digital landscape.