1.3

门店员工矩阵运营Store Staff Matrix

介绍Introduction

我们做内容创作并细分到员工职责,员工拿到直接发,和抖音来客相辅相成。We produce the content and break it down by staff role. Each person just posts, and it compounds with Laike exposure.

员工矩阵的难点从来不是账号数量,是内容供给。让员工自己想拍什么,两周就停了。The hard part of a staff matrix was never the number of accounts, it is content supply. Ask staff to come up with their own ideas and it stops within two weeks.

我们把内容做完并细分到岗位:前台拍什么、医助拍什么、店长拍什么,员工拿到手直接发。矩阵的量反过来喂给抖音来客,曝光和成交在同一条链路上。We produce the content and assign it by position: what the front desk posts, what the assistant posts, what the manager posts. Staff simply publish. That volume feeds back into Laike, so exposure and conversion sit on the same chain.

员工号最值钱的地方是定位。每条内容都带门店定位,曝光涨上去就是门店的曝光,看到的人本来就在这个商圈里——这是投流买不到的精准度。The real value of a staff account is the location tag. Every post carries the store's location, so rising exposure is the store's exposure, seen by people already inside the trade area. That precision is not something ad spend can buy.

一人一个人设不等于让员工自由发挥。人设、选题、脚本、成片都是我们这边出,员工只负责发和回评论——门槛压到最低,矩阵才铺得开、也才留得住。One persona per person does not mean improvising. Persona, topic, script and finished cut all come from our side, and staff only publish and reply. Keeping the bar that low is what lets a matrix spread and, more importantly, survive.

内容有一条 AI 生产线在跑:脚本、图文、混剪都能量产。所以一个门店十几个员工号同时更新,成本不会跟着号数线性往上涨。An AI pipeline sits behind the content: scripts, posts and remix edits can all be produced at volume. That is why a dozen staff accounts updating in parallel does not push cost up in a straight line with account count.

  • 员工号开号与人设分配Staff account setup and persona assignment
  • 按员工职责细分的内容脚本Content scripts split by staff role
  • 成片与图文的批量交付(AI 生产线)Bulk delivery of videos and posts from the AI pipeline
  • 统一的门店定位挂载规范A single standard for attaching the store location
  • 发布日历与执行跟踪Posting calendar and execution tracking
  • 员工侧的操作培训与话术Hands-on training and scripts for the staff themselves

怎么做How it runs

  1. 分人设Assign personas

    按岗位分——前台、助理、技师、店长,每个人设对应一类内容和一类客人的关心点。Split by position: front desk, assistant, technician, manager. Each persona maps to one content type and one set of customer concerns.

  2. 排内容Schedule the content

    我们出脚本和成片,按发布日历排到人、排到天,员工零创作负担。We supply scripts and finished cuts, scheduled by person and by day on a posting calendar, with zero authoring load on staff.

  3. 挂定位Tag the location

    每条内容统一挂门店定位,曝光才落回门店而不是散在全网。Every post carries the same store location tag, so exposure lands back on the store instead of scattering nationally.

  4. 跟数据换选题Trade topics for data

    哪个人设的哪类内容带进店多就加量,跑不动的直接换掉。Whichever persona and content type brings people through the door gets more volume; whatever fails to move gets replaced.

成功展示Showcase

员工矩阵:一人一个人设,定位把流量带回门店Staff matrix: a persona each, location tags pulling traffic back to the store

我们自有一条 AI 内容生产管理线,给每个员工打造人设,再发对应的内容。We run our own AI content production line: every staff member gets a persona, and each posts the content that matches it.

员工矩阵:一人一个人设,定位把流量带回门店Staff matrix: a persona each, location tags pulling traffic back to the store

我们自有一条 AI 内容生产管理线,给每个员工打造人设,再发对应的内容。We run our own AI content production line: every staff member gets a persona, and each posts the content that matches it.

内容都带我们的定位,曝光涨上去就是门店的曝光,带回来的是门店的精准流量。Every post carries our location tag, so the exposure it earns is the store's exposure, and the traffic it brings back is qualified.

员工矩阵的发布日历
员工矩阵的发布日历The staff matrix posting calendar

致 Boss 的一封信A letter to you

尊敬的 Boss,您好。Hello, Boss.

这是我的个人产品页,其中的板块都是我自身的技能以及资源。This is my personal product page. Every board on it is a skill or a resource that is genuinely mine.

我从大学毕业后就开始创业,截至现在已经 10 年时间了。I started my own business straight out of university — that was ten years ago.

最开始是产品经理,带领开发团队做出第一款软件(安卓系统)。三个月时间,我从销售到铺垫代理、到技术维护,几乎变成了六边形的 — 三个月总盈利 150W+。I began as a product manager, leading a dev team to ship my first piece of software (Android). In three months I went from sales to building out the reseller network to technical maintenance — close to an all-rounder. Three months, 1.5M+ RMB in total profit.

后面因为要转行业,所以在众多行业中选择了小红书,没想到这一选择就是 4.5 年的时光。Then I needed to change industries. Out of all of them I picked Xiaohongshu — and that one choice turned into four and a half years.

因为当时比较年轻,赚取的第一桶金,所以难免会年少轻狂(现实中同年操盘一个项目,半年纯利润达到 5000W,被合伙人背刺,有真实记录经验以及可考察)。I was young, it was my first real money, and I was inevitably a little reckless. That same year I ran a project that cleared 50M RMB in net profit in six months, and was stabbed in the back by my partner. There are real records, and it can be checked.

后面沉淀了两三年,回到北京,开始研究抖音流量板块以及 AI 相关。I spent the next two or three years settling, then came back to Beijing and started working on Douyin traffic and on AI.

很幸运,在我上年以及今年一直深耕 AI 赛道,所以取得了很不错的成就。I have been lucky: last year and this year I stayed deep in the AI track, and it paid off.

而且我很开心,也很庆幸 — 我在 AI 身上看到了无限。所以我在三个月时间,消耗了 3W 刀的 Token。从文本,到图片,到视频,我看到了太多。AI 是未来。并且我以前的资源圈子,可能让我达不到太高的门槛。And I am glad — genuinely glad — that what I saw in AI was something without limits. In three months I burned USD 30,000 of tokens. Text, then images, then video: I have seen too much to think otherwise. AI is the future. My old circle of resources, though, may not carry me past a high enough threshold.

我帮别人做公司梳理以及流量打造是 2K 一小时的咨询费;全域流量搭建以及小红书的自营矩阵、员工培训是 19800 的搭建费。I charge 2,000 RMB an hour to restructure a company and build its traffic; full-channel traffic build-out, an owned Xiaohongshu matrix and staff training run a 19,800 RMB setup fee.

我说这些的目的,是因为我觉得衡量人的价值不是情感,而是很现实的钱。I say this because I believe a person is not measured in sentiment. They are measured in money, plainly.

我很希望可以继续进新的圈层以及获取新的资源。I want to keep moving into new circles and reaching new resources.

所以很感谢您能看到这里。我所擅长的就是流量打造、品牌打造,以及 AI 的产品和商业逻辑。So — thank you for reading this far. What I am good at is building traffic, building brands, and the product and business logic of AI.

希望我们可以达成合作,一起拥抱 AI 和流量,一起拥抱I hope we can work together. Let us embrace AI and traffic, and embrace

未来The Future