窖藏
Search documents
习酒,纵深全国
Sou Hu Cai Jing· 2025-12-24 04:27
12月20日,在白酒行业深度调整、存量竞争与价值增长并行的新周期下,一场汇聚全国 800 余名经销商 与合作商代表的习酒 2026 年全国经销商大会成为行业关注焦点。面对2026年的重点工作,习酒不仅明 确其四大核心工作方向,更将通过 "抓融合、控供应、拓市场、塑品牌、稳价格、促增长、提效能" 七 项工作推进习酒全国化 2.0 版本。 市场分析指出, 2026 年全国经销商大会不只是对习酒 2025 年逆势突破、稳固发展基本盘的全面复盘, 更是其锚定 "十五五" 行业趋势,部署 2026 年核心任务、深化全国化 2.0 战略的关键平台,为厂商协同 迈向高质量发展凝聚起坚实共识。 经销商大会召开 12月20日,习酒 2026 年全国经销商大会在贵阳举行,来自全国各地的 800 余名经销商、合作商代表参 会。会议全面总结 2025 年营销工作成效,系统部署 2026 年重点任务,为企业营销体系升级、全国化战 略深化凝聚合作共识。 会上,习酒集团党委书记、董事长汪地强发表主题讲话,集团党委副书记、副董事长、总经理万波主持 大会。习酒集团及股份公司相关领导班子成员、外部董事,各部门及下属公司负责人参会。会议召开前 夕 ...
习酒开展“营销2.0”的营销体系改革
Mei Ri Jing Ji Xin Wen· 2025-12-02 00:35
Core Viewpoint - The company is implementing a "Marketing 2.0" reform to enhance its marketing system, focusing on the establishment of three centers and the appropriate separation and deep integration of marketing and sales [1] Group 1: Marketing System Reform - The reform includes the establishment of three centers: Brand Promotion Center, Marketing Center, and Data Operation Center [1] - The Brand Promotion Center is responsible for overall online and offline promotional activities, consumer cultivation, and effective communication of the brand's cultural narrative [1] - The Marketing Center focuses on the sales of three major product lines: Junpin, Jiaocang, and Jinduan, integrating online, offline, and customized development efforts [1] - The Data Operation Center aims to enhance data accuracy and collection, establishing market evaluation models to support market decision-making [1] Group 2: Industry Context and Implications - The "Marketing 2.0" reform addresses industry challenges related to stock competition, responding to the company's channel pressures and brand upgrade needs [1] - The reform serves as a benchmark exploration for the liquor industry, transitioning from channel inventory pressure to precise operations [1] - Previous issues included fragmented promotion across multiple product lines and insufficient channel control, which the reform aims to resolve by integrating resources and leveraging data to tackle pricing discrepancies and sluggish sales [1]