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春节红包,是中国人最大的一场资金再分配
虎嗅APP· 2026-02-18 03:38
以下文章来源于Linda产业笔记 ,作者Linda 梁领 Linda产业笔记 . 看周期,拆生意,写融资真相。用投行视角拆解行业、商业模式与投融资结构。 本文来自微信公众号: Linda产业笔记 ,作者:Linda 梁领 过年最大的开支是什么? 不是年夜饭,不是新衣服,不是车票机票。 是红包。 你给爸妈包了红包,给侄子侄女包了红包,给岳父岳母包了红包,在家族群里发了红包,在同事群里抢了红包又发了红包,在闺蜜群里发了个 拼手气红包,然后手气最差,自己又补了一个。 除夕夜还没过完,你的微信支付已经是一片红色的流水记录。 打开一看——好家伙,进进出出,自己净支出三千多。 而且,这场资金再分配有一个很有趣的特点——它的资金流向,几乎完全由社会关系决定。 长辈给晚辈发压岁钱,是纵向的代际转移。同辈之间在群里抢红包,是横向的随机再分配。你给客户发红包、给老师发红包、给丈母娘发红包 ——这些都是带有明确社交目的的"定向转移支付"。 没有任何一个经济学模型能完美描述这件事。但如果非要给春节红包一个金融定义,我会说——它是全世界最大的、去中心化的、以人情关系 为底层逻辑的年度资金再分配系统。 二、压岁钱的"资产负债表":你 以 ...
微信做电商,依然不急
第一财经· 2026-01-15 12:41
Core Insights - WeChat has signaled growth in its e-commerce business but has not disclosed the overall GMV (Gross Merchandise Volume) for WeChat Shops, which remains a key concern for the market [3][5] Group 1: WeChat Shop Performance - In 2025, the GMV growth for WeChat Shop brand sales reached 4.3 times the overall platform growth, with GPM (Gross Profit Margin) increasing by 1.5 times and the average number of active merchants growing by 1.7 times [3] - For 2024, WeChat Shop's GMV increased by 1.92 times, with order volume rising by 2.25 times and GPM also growing by 1.5 times [5] - The user demographic shows that 32% of users are from first and new first-tier cities, while 39% are from second and third-tier cities [3] Group 2: Content-Driven Growth - The growth in WeChat's e-commerce is largely driven by content integration, with creators participating in live streaming and short videos seeing significant increases in transaction volumes [5] - The "Gift" feature, launched at the end of last year, is a focal point, appearing in various scenarios but with a somewhat hidden user experience [5] Group 3: Market Reaction and Strategy - Despite the slower pace of product development, the capital market remains highly attentive, with WeChat Shop-related stocks experiencing volatility [6] - The WeChat team emphasizes the importance of scale for ecosystem development and is actively combating practices like price manipulation and fake orders [6]