美团Keeta-用户运营专家

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.

流量资源位运营 1. 负责站内各类流量资源位（如 Banner、金刚位、feeds流等）的整体策略制定与日常运营； 2. 协同产品、内容、设计等团队，推动资源位内容策划与落地，提升曝光效率与点击转化； 3. 通过AB实验、点击率分析等手段，持续优化资源使用效率，实现流量ROI最大化。 自有流量工具探索与运营 1. 搭建并运营裂变、助力、推荐等多样化自增长工具，提升平台自有流量获取能力； 2. 制定不同用户场景下的触达链路和激励机制，驱动用户参与转发、邀请等行为； 3. 分析工具使用数据，识别增长瓶颈，持续迭代产品功能与运营策略 数据分析与效果评估 1. 建立流量分发与转化效果的核心指标体系，进行实时监控与效果归因分析； 2. 定期输出策略执行效果、关键资源位表现、用户行为趋势等分析报告； 3. 基于数据洞察，提出流量调度优化建议，并形成标准化策略沉淀 Traffic Resource Management 1. Responsible for the overall strategy and daily operation of various in-platform traffic resources (e.g., banners, prime positions, feed streams, etc.). 2. Collaborate with product, content, design, and other teams to drive content planning and execution for resource positions, improving exposure efficiency and click-through conversion. 3. Continuously optimize resource usage efficiency and maximize traffic ROI through methods such as A/B testing and click-through rate analysis. Self-Owned Traffic Tools Exploration and Operation 1. Build and operate a variety of self-growth tools such as viral growth, incentives, and recommendations to enhance the platform's ability to acquire its own traffic. 2. Develop user engagement pathways and incentive mechanisms for different user scenarios, driving actions such as sharing, inviting, and forwarding. 3. Analyze tool usage data to identify growth bottlenecks and continuously iterate on product features and operational strategies. Data Analysis and Performance Evaluation 1. Establish a core metrics system for traffic distribution and conversion performance, conducting real-time monitoring and attribution analysis. 2. Regularly produce analysis reports on strategy execution, key resource position performance, and user behavior trends. 3. Provide traffic scheduling optimization recommendations based on data insights, and standardize strategies for continuous improvement.

1.结合用户生命周期，进行分层运营，发掘不同用户的做功点，制定差异化补贴、触达等策略，达成实付交易额增长，补贴效率优化的业务目标； 2.结合数据分析，洞察用户需求和行为，挖掘和提炼不同用户的决策逻辑、购物场景，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，通过市场调研、数据分析等方式，洞察业务增长点。

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.关注行业重要玩家的关键策略，洞察业务增长点；