(Source: https://pltfrm.com.cn)
Introduction
In a market as dynamic as China, customizing analytics dashboards to reflect local consumer behaviors is vital for effective decision-making. This article outlines how businesses can build dashboards that meet the unique demands of China’s online retail landscape.
1. Prioritize Mobile-Centric Analytics
1.1 Mobile-First Approach
With over 99% of China’s internet users relying on mobile devices, dashboards must prioritize mobile-friendly analytics. Include mobile engagement metrics, such as app session durations and Mini Program interactions, to capture this audience effectively.
1.2 App-Specific Insights
Platforms like WeChat and Douyin dominate mobile usage. Analytics dashboards should incorporate platform-specific metrics, such as QR code scans or follower acquisition rates, to provide actionable insights.
2. Align with Consumer Journeys
2.1 Multi-Touch Attribution
Chinese consumers often interact with multiple touchpoints before making a purchase. Dashboards should integrate attribution models that track interactions across search engines, social platforms, and e-commerce sites to reveal effective touchpoints.
2.2 Post-Purchase Behavior
Understanding post-purchase engagement is crucial for building loyalty. Metrics like repeat purchase rates, reviews, and engagement with follow-up marketing can highlight areas for improvement.
3. Leverage Advanced Technology
3.1 AI-Powered Insights
Artificial intelligence can identify trends and anomalies in consumer behavior. Incorporating AI into dashboards allows businesses to uncover patterns, such as seasonal spikes in demand or shifting preferences, with minimal manual effort.
3.2 Natural Language Processing (NLP)
NLP tools can analyze unstructured data, like customer reviews or social media comments, and present sentiment analysis in dashboards. This helps brands monitor consumer sentiment in real time.
4. Focus on Localization
4.1 Language Customization
Dashboards designed for China should include options for Mandarin and English. This ensures accessibility for local teams and global stakeholders, fostering seamless collaboration.
4.2 Cultural Relevance
Incorporate culturally relevant metrics, such as holiday-specific sales data. Metrics tied to events like Single’s Day (11.11) or Chinese New Year provide valuable insights for campaign optimization.
Case Study: Nike’s Personalized Dashboards in China
Nike developed customized dashboards to track user engagement on their WeChat Mini Program. By integrating data from loyalty programs and real-time sales during events like Single’s Day, Nike identified key consumer segments and personalized their campaigns. This led to a 25% increase in app engagement within six months.
PLTFRM is an international brand consulting agency that works with companies such as Red, TikTok, Tmall, Baidu, and other well-known Chinese internet e-commerce platforms. We have been working with Chile Cherries for many years, reaching Chinese consumers in depth through different platforms and realizing that Chile Cherries’ exports in China account for 97% of the total exports in Asia. Contact us, and we will help you find the best China e-commerce platform for you. Search PLTFRM for a free consultation!
