美团Keeta用户运营
任职要求
1. 5年以上C端/增长/营销产品工作经验，主导过大型增长项目/系统性规划并实现核心业务指标者优先；
2. 具备优秀的沟通、协同以及项目管理能力，强自驱，能带领复杂项目拿到结果。
3. 具备扎实的数据分析基本功和业务理解能力，有较好的用户需求的洞察能力
4.具备复杂协同环境下的协同能力，能和重点KP较好地形成融洽的协作关系；
1.5+ years of experience in consumer-facing/growth/marketing product roles. Priority given to candidates who have led large-scale growth projects or systematic planning to achieve core business metrics.
2.Strong communication, collaboration, and project management skills; self-driven with the ability to deliver results in complex projects.
3.Solid data analysis fundamentals, business acumen, and user insight capabilities.
4.Ability to collaborate effectively in complex environments and build strong relationships with key stakeholders.工作职责
1.负责Keeta某国业务的用户增长，通过拉新、复活及提升次月留存有效的提升月交易用户池 2.通过数据分析和对用户行为、场景的洞察发现增长机会点，定义策略方向 3.通过补贴、漏斗优化、卡券sku设计及营销玩法等方式执行上述策略方向 4.协同产、研、算法团队共同作用于交易用户数的结果达成 1.Responsible for user growth in Keeta's operations in [specific country], effectively increasing the monthly active transaction user pool through new user acquisition, reactivation, and improving next-month retention rates. 2.Identify growth opportunities through data analysis and insights into user behavior/scenarios, defining strategic directions. 3.Execute strategies via subsidies, funnel optimization, coupon/SKU design, and marketing campaigns. 4.Collaborate with product, R&D, and algorithm teams to achieve transaction user targets.
用户行为数据监控与分析 1. 搭建并维护用户转化和留存核心指标体系，覆盖拉新、首单、复购、留存等关键阶段； 2. 实时监控用户行为、补贴工具使用、活动转化路径等数据，识别运营策略中的机会与风险点 补贴策略制定与运营支持 1. 基于用户生命周期与分层模型，制定针对新客、沉默用户、流失用户等群体的差异化补贴策略（如新客立减、满减、返现券等）； 2. 联动产品与B端运营团队配置最优激励方案，设计人群×工具的组合策略，提升激活率与留存转化率。积极协助产研部门优化投放工具和数据基建，提高效果广告的投放效率 策略效果复盘与优化闭环 1. 跟踪每项补贴/激励策略执行结果，输出效果归因、路径分析与ROI评估； 2. 基于复盘结果持续优化激励策略组合，形成标准化的策略评估模型与策略沉淀； 3. 定期输出月/周分析报告，为用户运营策略提供数据支持与优化方向 User Behavior Data Monitoring and Analysis 1. Build and maintain a core metrics system for user conversion and retention, covering key stages such as user acquisition, first orders, repurchase, and retention. 2. Monitor user behavior, subsidy tool usage, activity conversion paths, etc., in real-time to identify opportunities and risks in operational strategies. Subsidy Strategy Development and Operational Support 1. Based on user lifecycle and segmentation models, develop differentiated subsidy strategies for new users, dormant users, churned users, etc. (e.g., new customer discounts, coupons, cashback vouchers, etc.). 2. Collaborate with the product and B2B operations teams to configure optimal incentive plans, design crowd × tool combination strategies, and improve activation and retention conversion rates. Actively assist the product and research team in optimizing delivery tools and data infrastructure to improve the effectiveness of paid advertising. Strategy Review and Optimization 1. Track the execution results of each subsidy/incentive strategy, providing effect attribution, path analysis, and ROI evaluation. 2. Continuously optimize incentive strategy combinations based on review results, forming standardized strategy evaluation models and strategy documentation. 3. Regularly produce monthly/weekly analysis reports to provide data support and optimization directions for user operations strategies.
沉淀活动SOP，分析数据并输出优化建议，形成可复用的活动方法论。 1.制定并执行流量运营策略，为平台的流量运用效率负责。 2.分析用户行为数据，优化用户体验，提高用户留存率。 3.对接产品运营团队，推动平台资源位迭代和优化，改善用户体验。 4.负责监控和分析流量数据，持续改进运营策略，提高用户转化率。
1.结合用户生命周期，进行分层运营，对各分层用户制定差异化补贴、触达等运营策略，达成实付交易额增长，补贴效率优化等业务目标； 2.分析并寻找可做功的重点人群，进行分群运营，挖掘和提炼不同分群用户的需求和行为，从供给、需求、体验各要素做功，提升用户黏性和价值； 3.对接商分、产研等团队，协调各方资源，推动运营策略落地； 4.关注竞争对手、行业重要玩家的关键策略，洞察业务增长点。
1. 基于用户行为数据，构建分析模型（如用户分群、流失预警、LTV预测），输出增长策略建议； 2. 研究行业趋势与行业标杆动态，通过用户调研，为用户运营的决策提供支撑； 3. 设计AB实验并监控结果，验证策略有效性，推动策略落地执行； 4. 搭建数据看板，进行用户洞察，为C端运营提供决策支持； 5. 协同产品、运营团队，推动数据驱动型文化，优化业务流程。