Pinduoduo Surpasses Taobao in User Engagement During Double 11

The Double 11 shopping festival has highlighted significant shifts in China’s e-commerce market. A report from QuestMobile reveals changing user behaviors and increased competition among the top platforms, reflecting a new chapter in the industry.

Pinduoduo Outpaces Taobao in Engagement

For the first time, Pinduoduo led in user engagement, capturing 36.1% of total user time during the 2024 Double 11 period. This marks a milestone for the platform, which has shown steady growth over the last three years.

JD.com also made strides, reaching 10.6% of user time, exceeding the 10% threshold for the first time. These numbers reflect a shift as platforms compete more aggressively to keep users engaged through features and promotions.

Taobao Retains Lead in Daily Active Users

While Pinduoduo dominated user time, Taobao maintained its position as the leader in daily active users (DAU). On the festival’s peak day, Taobao logged 4.87 million DAUs, reinforcing its top status.

Pinduoduo also saw strong results, reporting over 4 million DAUs. JD.com surpassed 2 million DAUs, further cementing its position as a rising competitor.

Shifting Market Trends

The numbers highlight evolving strategies among China’s e-commerce giants:

  • Pinduoduo’s Engagement Lead: Innovative features like gamified shopping and community-focused purchasing resonate with younger, budget-conscious shoppers.
  • Taobao’s DAU Strength: Taobao’s vast ecosystem and established reputation keep it ahead, particularly in popular categories like fashion and electronics.
  • JD.com’s Growth: JD.com’s focus on logistics and quality products continues to attract a loyal customer base, especially in electronics and appliances.

These developments emphasize the growing fragmentation of China’s e-commerce market. Platforms are shifting focus from sales volume to retaining user attention through personalized experiences and loyalty programs.

With increasing emphasis on innovation, AI recommendations, and immersive shopping features, competition in the sector is likely to intensify further.

 

Dan Taylor is the founder and editor of International Search Insights (ISI), the publication behind ReadIsi, and a Partner and Head of Innovation (Search & AI) at SALT.agency. He has worked in search for more than a decade, in-house and agency-side, and is regarded as one of the West’s leading voices on search engines beyond Google, including Yandex, Baidu, Naver and Cốc Cốc. On ReadIsi, Dan covers the engines and AI answer platforms that English-language coverage tends to miss: Baidu and ERNIE, Yandex and Alice AI, Naver, Cốc Cốc, Shenma, Sogou, WeChat and Weibo search, plus DeepSeek and Alibaba’s Qwen. He also keeps dated records of documented changes, such as the Yandex, Baidu and Naver algorithm update histories and the DeepSeek, ERNIE and Qwen model update histories. His approach is to take learnings from global search engines and apply logic with a high evidence threshold. A claim needs a source, patterns seen in one market are treated as a hypothesis until they are checked in another, and where the evidence is thin he says so. For brands, that means advice built on what can be shown, with measurement that separates being cited from being chosen. Dan is credited with coining the term “edge SEO” and won the inaugural TechSEO Boost research competition in 2018 for his work on CDN and edge changes for SEO. In 2026 he was credited with coining “Infinite Tail” to describe how keyword research is changing with AI search. He is the author of AI Search Marketing For The Travel Sector, writes for Search Engine Journal, Search Engine Land and Travel Marketing Guy, and has advised technology, SaaS, travel and enterprise ecommerce brands, including Cloudflare, GitLab and Airbnb. He has given multiple talks and panels at the International Search Summit in Barcelona, and has also spoken at Optimization Moscow, brightonSEO, Google Search Central Live Deep Dive Asia in Bangkok, Athens SEO and the Asia SEO Virtual Summit 2026, where his talk looked at how Baidu, Naver, DeepSeek, Tencent, Cốc Cốc and Yandex built their own AI answers.