Keeta-活动运营专家（Marketing Campaign Manager）

亮点 / Highlights: 加入我们，您将与全球团队合作，推动外卖平台在国际市场的创新与增长，享受广阔的职业发展机会。 Join us, and you will collaborate with a global team to drive innovation and growth for our food delivery platform in international markets, while enjoying broad career development opportunities.

岗位职责 / Duties: 营销活动策略制定与闭环落地

1. 负责端内活动场景策划（如秒杀频道、领券中心、大促会场），制定主题、目标、玩法策略；
2. 支持商家侧活动策略制定与效果监控，推动站内资源、商户资源与玩法工具高效联动；
3. 全流程负责活动的策划、执行、数据评估与优化

用户增长场景深挖与新增长点探索

1. 通过数据分析洞察细分人群、品类机会、订单场景，结合用户消费路径挖掘潜在增长空间；
2. 打造品类专场、场景型会场（如“夜宵场景”、“下午茶场景”等）以满足多样化消费需求，提升GTV与用户粘性。

营销工具创新与产品推动

1. 探索适配本地消费习惯的新型外卖玩法（如动态满返、分享立减、随机立省等）；
2. 推动营销工具（如券包系统、秒杀引擎、权益中心等）在功能和体验上的持续优化；
3. 快速迭代、至少每周更新玩法机制或测试策略组合，结合数据反哺产品侧优化方向

Marketing Campaign Strategy and Full-Cycle Execution

1. Responsible for in-app campaign scenario planning (e.g., flash sale channel, coupon center, mega sale pages), including theme definition, goal setting, and mechanism design.
2. Support merchant-side campaign strategy development and performance monitoring, driving efficient synergy among platform resources, merchant participation, and promotional tools.
3. Own the end-to-end process of campaign planning, execution, performance evaluation, and optimization.

User Growth Exploration and New Growth Opportunities

1. Identify segmented user groups, category opportunities, and order scenarios through data analysis; uncover potential growth opportunities along the user consumption journey.
2. Design category-focused and scenario-based campaign pages (e.g., “Late-night cravings,” “Afternoon tea moments”) to fulfill diverse consumer needs and improve GTV and user stickiness.

Marketing Tool Innovation and Product Enhancement

1. Explore new food delivery mechanics tailored to local consumer behavior (e.g., dynamic cash back, instant sharing discounts, surprise savings).
2. Drive continuous improvement in marketing tools (e.g., coupon bundle systems, flash sale engines, perks centers) in terms of functionality and user experience.
3. Ensure rapid iteration—update gameplay mechanisms or test strategy combinations at least weekly—and use performance data to feed into product-side optimizations.