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Open nowPosted 2 days ago

商城用户策略-TikTok Shop

ByteDance19,120 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now商城用户策略-TikTok ShopByteDance · Shanghai, Chinese Mainland

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on ByteDance's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.4% of postings close within 7 days. Measured by our own scanner across the market. ByteDance postings stay open a median of 5 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.4%7 days
  4. 20.0%14 days
  5. 35.5%30 days
  6. 58.6%60 days
This job: posted 2 days ago

ByteDance median: 5 days open

The posting

1、用户策略制定：分析用户从进入商城到首次购买、复访及复购的完整链路，识别不同阶段的增长机会，制定用户运营策略及推进计划； 2、积分与互动玩法：协同产品团队推进用户积分、签到、任务及互动玩法，设计积分获取、使用与激励机制，培养用户持续访问及购物习惯； 3、用户分层与个性化承接：与搜索、推荐算法及产品团队合作，基于用户生命周期、购物意向、兴趣及价值进行分层，优化不同人群的商品推荐、玩法触达与页面承接； 4、激励策略与实验：针对不同用户群体，设计并测试积分、优惠券及任务奖励等激励方案，优化激励门槛、力度、频次与触达时机； 5、增量收益评估：通过A/B实验评估玩法对GMV、转化、复访及复购的增量贡献，结合补贴成本衡量投入产出，推动有效策略规模化； 6、跨团队落地：协同产品、算法、数据分析、营销及财务团队，推进策略上线、预算管理与效果复盘，持续优化用户体验和经营效率。

1、市场营销、商业或相关专业本科及以上学历，硕士学位优先； 2、至少2年电商/互联网管理经验，有货盘及补贴相关经验者优先，具备数字业务或零售行业经验者尤佳； 3、能够解读数据、识别趋势，并基于数据作出决策； 4、具备多元文化团队或跨区域协作经验，能够适应不同文化背景，推动高效合作，并确保营销活动契合当地市场。

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  1. A CV for this posting

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  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on ByteDance's form

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    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

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  5. Reply with AI

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  6. The interview in your calendar

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3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

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The numbers game

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