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Open nowPosted 154 days ago

用户补贴策略

poizon/index573 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now用户补贴策略poizon/index · Shanghai, Chinese Mainland
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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 154 days ago

The posting

1、得物补贴策略设计与运营 负责得物补贴策略的设计、落地、效果分析与持续迭代,对业务目标及策略结果负责 围绕用户转化、复购、留存等核心业务目标,主动识别补贴策略中的问题与增长机会,并形成可落地的解决方案 基于用户行为、活跃度与生命周期阶段,构建分层化、差异化的补贴策略体系 对人群转化率、复购率、增量收益及补贴 ROI 负责,持续提升补贴资源使用效率 2、人群分层、商品分层与策略机制建设 搭建用户识别与分层逻辑,结合活跃度、品类偏好、价格敏感度、历史补贴响应度等特征,识别不同用户的补贴需求与价值 结合类目、价格带、商品特征等维度,设计差异化的商品补贴策略 设计不同人群及商品对应的补贴力度、券型结构、投放场景与投放节奏,持续优化策略组合 结合数据表现持续优化策略边界,在保障业务增长的同时控制无效补贴、补贴依赖及资源浪费 3、效果评估与数据分析 具备较强的数据分析和业务洞察能力,能够基于现有业务数据主动发现问题、定位原因、识别增长机会,并提出相应策略 建立补贴效果评估体系,持续跟踪增量订单、增量 GMV、补贴 ROI 及长期价值(LTV)等核心指标 通过 A/B 实验、对照分析及用户/商品拆分分析等方式,评估不同补贴策略的真实增量价值 建立「数据洞察 → 策略动作 → 结果验证 → 策略迭代」的完整闭环,通过持续实验和数据分析推动策略优化 4、问题分析与风险控制 围绕业务目标主动拆解问题,不局限于既有策略和产品能力,能够自主寻找解决路径并推动落地 针对策略执行过程中的异常波动、效果衰减、ROI 下降等问题,通过数据分析快速定位原因并制定解决方案 识别套利、补贴依赖、错误激励等潜在风险,在增长收益与补贴成本之间寻找合理平衡 主动协同算法、风控、产品等团队,通过模型、策略规则及产品能力共同解决业务问题,并持续验证解决效果 5、跨团队协同与机制共建 具备较强的自驱力和结果导向,在明确业务目标的基础上,能够自主完成问题拆解、方案设计、资源协调、落地及效果复盘 协同算法、产品、风控、类目运营等团队,推动补贴策略从业务方案向模型化、产品化、自动化演进 将策略需求沉淀为可复用的产品及策略能力,包括人群圈选、策略配置、智能决策、实验评估、效果监控等 从平台整体补贴效率出发,持续优化不同人群、商品及场景之间的资源分配,减少策略冲突及资源浪费

1、3年以上互联网相关工作经验,有补贴策略、用户策略、BI/DA相关经验优先; 2、具备优秀的数据分析与业务洞察能力,能够从业务数据中发现问题和机会,完成问题归因、策略设计、效果验证及后续迭代,形成完整的数据驱动闭环; 3、具备较强的自驱力和结果导向,能够围绕业务目标主动拆解问题、寻找解决方案,并协同算法、产品、风控等团队推动方案落地,对最终业务结果负责; 4、具备较强的逻辑思维和系统化思考能力,能够从用户、商品、成本及平台整体收益等多个维度进行策略判断; 5、具备创新意识,不拘泥于行业已有经验,能够通过数据、实验和业务洞察持续探索新的策略机会。

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