Navigating data challenges in China's E-commerce market

The rules have changed. Here's what brands need to know.

China remains the world's largest eCommerce market and one of its most complex. For brands operating there, data is both the greatest asset and the greatest liability. Regulators have moved from issuing rules to enforcing them, new platforms have risen to dominance, and the compliance bar for handling consumer data has never been higher.

The platform landscape has expanded, and so has the data problem

China's digital ecosystem was always fragmented. It's now more fragmented than ever.

Alibaba, JD.com, and Pinduoduo remain foundational pillars of Chinese eCommerce. But the real story of the past two years is the rise of social commerce and live streaming. Douyin (China's domestic TikTok) has established itself as a dominant eCommerce force, with 600 million daily active users and seamless integration of short video, influencer marketing, and in-app purchasing. Xiaohongshu (Little Red Book) has evolved from a lifestyle discovery app into a serious commercial channel, particularly for beauty and fashion brands. WeChat Mini Programs and Taobao Live add further layers to an already complex reality.

For brands, this means customer journeys no longer follow a linear path. A consumer might discover a product via a Douyin livestream, research it on Xiaohongshu, compare prices on Pinduoduo, and complete the purchase on Tmall, all within a single afternoon. Each platform is a closed ecosystem with its own rules about what data can be shared, leaving brands without a cross-platform strategy blind to most of their customer journey.

The regulatory environment: From framework to enforcement

When China's Personal Information Protection Law (PIPL) came into effect in 2021, many brands treated compliance as something to address eventually. That approach is no longer viable.

China's data protection framework rests on three foundational laws: the Cybersecurity Law (CSL), the Data Security Law (DSL), and PIPL. In January 2025, the Network Data Security Management Regulations added a fourth layer, introducing the most detailed operational requirements to date for how companies must handle, store, and transfer data.

Enforcement is now real. In September 2025, Dior became the first foreign company formally sanctioned under PIPL, penalized for transferring customer data to its French headquarters without proper regulatory approval or adequate security safeguards. The case sent a clear message: compliance is not optional, and data governance failures will be made public.

Regulators have also shown pragmatism. In March 2024, the Cyberspace Administration of China eased certain cross-border data transfer requirements, exempting some categories of non-sensitive data from more burdensome security assessment processes. New pricing regulations effective April 2026 also require explicit consumer consent for systems using purchase history or browsing patterns for dynamic pricing or ad bidding.

Key data challenges brands face today

Cross-Platform Data Unification: No single data layer connects China's major platforms. Brands working across Douyin, Tmall, JD.com, Xiaohongshu, and WeChat often manage separate dashboards, inconsistent customer ID systems, and attribution models that capture only a fraction of the actual customer journey. The result is systematic misvaluation of channels and missed cross-platform opportunities.

Compliance Across the Data Lifecycle: Compliance applies at every stage: collection, storage, processing, use, and transfer. The challenge is especially acute for global brands moving customer data between China and headquarters elsewhere. Brands running self-operated stores face heavier obligations than those on third-party marketplaces, but even marketplace sellers need clear data governance policies as enforcement ramps up.

Behavioural Targeting Under New Scrutiny: The data that powers personalization and dynamic pricing now sits squarely in regulators' sights. Consent mechanisms, anonymization, and purpose limitation are not just legal requirements; they define what brands can actually do with customer data. This demands strategic rethinking, not just legal sign-off.

Data Quality Across a Fragmented Ecosystem: Even where data can be collected, quality varies significantly. Inconsistencies in how platforms define and report metrics such as conversion rates, engagement, and attribution windows mean that consolidating data without standardization produces unreliable insights. Acting on poor-quality aggregated data can lead to worse decisions than working from solid single-platform data alone. This is where a dedicated data quality service can make a measurable difference, ensuring data is standardized, validated, and actionable before it reaches your analytics or campaign tools.

Building a smarter data strategy for China

Prioritize first-party data: With third-party data access shrinking and regulatory scrutiny rising, first-party data collected directly from customers with proper consent is the most valuable and defensible asset a brand can hold. Loyalty programs, CRM integration, and branded WeChat mini-programs are practical ways to build this foundation compliantly.

Invest in the rightdata infrastructure: A Data Management Platform (DMP) built for China's regulatory reality can aggregate data from local platforms into a unified view, support PIPL-compliant consent management, and provide the audit trail regulators may request. The right DMP must integrate with China's local ecosystem, not just global platforms.

Design for compliance from the start: The most common mistake brands make is treating compliance as a final legal review rather than a design principle. How and where data is collected, stored, and used must be determined at the outset, in close collaboration with legal and data teams based in China.

What this means for brands

China's eCommerce market continues to offer exceptional scale and growth opportunity. But succeeding here requires treating data strategy as a distinct discipline, not an extension of a global approach.

The difference between brands that thrive and those that struggle often comes down not to product quality or budget, but to the strength of their data foundation. Brands with a unified, compliant view of their customer across platforms can move faster, spend smarter, and build deeper loyalty. Those operating on fragmented or non-compliant data are navigating one of the world's most competitive markets without a map.

Getting China's data strategy right is not a one-time project. It is an ongoing capability, and for brands serious about long-term success in this market, one of the most valuable investments they can make.