<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>China on Martech Blog</title><link>https://blog.changworkshop.com/categories/china/</link><description>Recent content in China on Martech Blog</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 18 Apr 2026 21:15:00 +0800</lastBuildDate><atom:link href="https://blog.changworkshop.com/categories/china/index.xml" rel="self" type="application/rss+xml"/><item><title>How the Chinese Digital Advertising Market Leverages AI to Boost Ad Performance</title><link>https://blog.changworkshop.com/posts/chinese-adtech-ai-2026/</link><pubDate>Sat, 18 Apr 2026 21:15:00 +0800</pubDate><guid>https://blog.changworkshop.com/posts/chinese-adtech-ai-2026/</guid><description>&lt;p>&lt;img src="featured.png" alt="Featured Header">&lt;/p>
&lt;p>The Chinese digital advertising landscape in 2026 has moved beyond the era of simple programmatic efficiency into a new paradigm of autonomous, high-concurrency, and privacy-centric intelligence. For the leadership of an AI-driven Demand-Side Platform (DSP), understanding this shift is not merely about observing trends; it is about recognizing a fundamental architectural transformation. The transition from &amp;ldquo;search-based&amp;rdquo; advertising to &amp;ldquo;discovery-based&amp;rdquo; commerce—powered by the convergence of Agentic AI and closed-loop ecosystems—has redefined the requirements for real-time bidding (RTB), creative optimization, and data utility.&lt;/p></description></item></channel></rss>