刘晓微 / Liu Xiaowei

Overview

刘晓微 / Liu Xiaowei is the Kuaishou marketing-science and business-development guest interviewed by 刘飞 in the 三五环 episode on content seeding and brand-performance integration.

Current Profile

The current wiki profile is source-scoped to one episode. Liu Xiaowei presents content seeding as a measurable but not perfectly provable marketing path: platforms should reconstruct how users move from content to search, livestreams, store visits, comparison, purchase, repurchase, and sometimes off-platform transactions.

Her practitioner stance is that brands and platforms should stop treating users as people to be educated into a fixed funnel. Instead, they should observe where real user paths break, then build bridges between brand advertising, creator content, ecommerce traffic, search, and live-room explanation.

Key Characteristics

• Kuaishou practitioner responsible for marketing science and招商-related work in the source account.
• Has prior experience in Xiaohongshu and Baidu marketing, user research, and user insight work.
• Defines seeding broadly enough to include delayed and cross-channel buying, not only instant purchase.
• Uses Kuaishou’s R3 seeded-audience frame to distinguish deeper mental availability from shallow exposure.
• Treats brand-performance integration as path construction between brand and transaction traffic.
• Uses AI as a tool for reconstructing complex user behavior, while keeping final interpretation tied to user-path evidence.

Evidence

• Role and background - No.223 当单纯的投放逻辑已经失效，我们如何重新理解种草？ introduces Liu Xiaowei as working on Kuaishou marketing science and招商, with earlier Xiaohongshu and Baidu user-insight experience.
• Seeding definition - No.223 当单纯的投放逻辑已经失效，我们如何重新理解种草？ has her distinguish same-session purchase from longer brand or category memory that can convert after search, livestreams, stores, discounts, or off-platform channels.
• R3 and path thinking - No.223 当单纯的投放逻辑已经失效，我们如何重新理解种草？ presents R3, search/store/live-room behavior, and “看搜点购” as deeper path signals.
• Brand-performance stance - No.223 当单纯的投放逻辑已经失效，我们如何重新理解种草？ argues for building traffic bridges rather than only proving every branding impression caused a purchase.
• AI use boundary - No.223 当单纯的投放逻辑已经失效，我们如何重新理解种草？ frames AI as a way to infer why users clicked, searched, browsed, or failed to buy from many small behavioral signals.

Qualifications

The page does not establish a complete biography, job history, title chronology, or independent verification of Kuaishou campaign metrics. The claims are source-scoped to Liu Xiaowei’s practitioner account in one podcast episode.

What Changed

• Created a source-scoped profile for Liu Xiaowei as the Kuaishou marketing-science guest.
• Connected her profile to content seeding, R3 user assets, brand-performance integration, and AI-assisted user-path reconstruction.

Relationships

• Kuaishou - company and platform context for Liu Xiaowei’s marketing-science work.
• 三五环 - podcast venue for the interview.
• 刘飞 - interviewer.
• Content Seeding Marketing / 内容种草 - main marketing concept she explains.
• Brand-Performance Integration / 品效合一 - strategic advertising frame she argues can be built.
• Marketing Science User Path / 营销科学用户路径 - analytical method her examples make concrete.
• Creator Trust Advertising / 创作者信任广告 - adjacent creator and livestream trust mechanism in her seeding examples.