This part is for newcomers, helping you go from understanding Xiaohongshu's e-commerce plays to opening a store and listing products, quickly getting started.
\Understand the platform's potential and advantages, laying a solid foundation for what follows.
\From zero, a detailed guide to opening your Xiaohongshu e-commerce store and doing the basic setup.
\How to ride the platform's winner trends, select hot products, and set specs to lift sales potential.
\Starting from the listing flow, especially how to set (and not set) coupons through the mobile app.
\This part explains how to nurture your account, create content, and use data tools to lift activity, ensuring your Xiaohongshu content attracts attention.
\How to nurture your account from day one and post highly interactive notes to quickly attract attention.
\A deep look at image creation, cut-out poster production, and how image-text creation lifts content appeal.
\Learn to make efficient videos and images suited to Xiaohongshu that lift user interaction.
\This part helps students master traffic-acquisition techniques, marketing planning, and how to lift store sales.
\Learn to choose the right market track and use vertical accounts to lift precise traffic.
\Use on-site data tools to acquire traffic precisely and lift exposure and sales.
\How to write attractive copy and titles that make your notes and products more competitive.
\How to optimize store strategy to drive orders and lift conversion.
\This part is for students with some foundation, teaching how to monetize through private-domain traffic and lift live-selling results.
\Learn to build a distinctive personal IP and lift account value through refined operations.
\A deep look at private-domain operating models and how to monetize through the right product mix.
\From live flow to product conversion, learn how live streaming lifts store sales.
\Learn to use live data to optimize and lift live traffic and follower conversion.
\This part covers tutorials on common e-commerce operations tools and how to lift customer-service quality.
\A detailed guide to using data tools to assist selection and analysis, lifting operating efficiency.
\Learn how to improve customer satisfaction through efficient service scripts and how to manage store operations.