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https://gr4yl99ujhl.typeform.com/to/XhZ4wVcn?utm_source=official
职位要求 Job Requirements | 说明 Description |
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中文 Chinese |
🔖 任职要求 | 本科及以上学历，3 年及以上成长型产品和中型平台产品用户增长经验； 对数据有敏锐洞察，能根据数据分析挖掘业务增长点，并实施增长策略。对数据有敏锐洞察，能根据数据分析挖掘业务增长点，并实施增长策略； 具备较强的沟通能力、跨团队协作能力和项目管理能力，有扎实的平台产品设计的业务需求抽象能力。具备较强的沟通能力、跨团队协作能力和项目管理能力，有扎实的平台产品设计的业务需求抽象能力； Crypto 行业、用户增长、增长策略和增长平台方面的经验者优先。用户增长、社区运营、增长策略和增长平台方面的经验者优先； 具备良好的中英文沟通和写作能力。有海外学习/工作经验者优先。
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⛑ 职责 | 制定用户增长策略，留存及开拓用户增长渠道及流量，提升业务整体拉新效果； 负责硬件销售触达、购买转化、软件使用渗透，思考并改进整个销售流程转化提升； 负责软件用户触达、下载、激活、留存等，全链路思考转化提升；沉默用户召回与防流失策略优化； 构建并监测内外渠道漏斗、数据报表、研究用户行为，给出增长方向建议，洞察转化的渠道因素； 设计并执行AB test，以实验和数据驱动运营动作和产品决策，实现快速迭代优化 ；
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English |
🔖 You are familiar with these | Bachelor degree or above, with more than 3 years of experience in growth products and mid-platform products; Have a keen insight into data, be able to mine business growth points based on data analysis, and implement growth strategies; Possess strong communication skills, cross-team collaboration and project management capabilities, and have solid skills in abstracting business needs for platform product design; Experience in crypto industry, user growth, growth strategy and growth platform is preferred; Have good English and Chinese communication and writing skills. Overseas study/work experience is preferred.
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⛑ Responsibilities | Develop user growth strategies, retention and develop user growth channels and traffic, and improve the overall business pulling effect. Responsible for hardware sales reach, purchase conversion, software usage penetration, thinking and improving the whole sales process conversion enhancement. Responsible for software user reach, download, activation, retention, etc., think through the whole chain to improve conversion, silent user recall and anti-loss strategy optimization. Build and monitor internal and external channel funnels, data reports, study user behavior, give suggestions for growth direction and insight into channel factors for conversion. Designing and executing A/B test, driving operation actions and product decisions with experiments and data, and achieving rapid iterative optimization.
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