# Marketing Org And Stack

> 帮助用户设计营销组织结构并选择推动可扩展增长所需的基础技术堆栈。

- Skill: `oldwinter/marketing-org-and-stack` (Agent Skill, multi-file: 3 files)
- Install (CLI): `npx skillmds@latest add oldwinter/marketing-org-and-stack`
- Raw SKILL.md: https://api.skillmd.com/api/skills/oldwinter/marketing-org-and-stack/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Marketing & Growth
- Author: oldwinter (https://skillmd.com/u/oldwinter)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/oldwinter/marketing-org-and-stack

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# 营销组织和堆栈

通过将专业人才与可扩展的数据基础设施结合起来，构建高性能的营销组织。

利用 11 位嘉宾的见解以及 Lenny 的播客和时事通讯中的帖子帮助用户进行营销组织和堆栈。

## 如何提供帮助

1. **评估瓶颈** - 确定您的增长是否受到资产创造（燃料）或分销能力（引擎）的限制。
2. **设计组织** - 确定合适的第一批员工以及 MarTech 应根据您的业务模式进行报告的位置。
3. **选择堆栈** - 使用构建和购买策略构建数据基础以进行分析和归因。
4. **审计测量** - 随着隐私限制的增加，从简单的跟踪转向复杂的概率建模。

## 核心原则

### 聘请专门的 MarTech 来应对复杂性
Austin Hay: "Usually around I would call it a hundred to 150 people is the critical mass where you can't just have a village approach to systems and tools much like in the IT org, if it was a village approach to SSO businesses would be in a lot of danger. That's where you typically start to see the question of, all right, we need a systems and tools person. We need somebody to manage these systems and manage that platform."

等到人数达到 100 到 150 人，或者团队成员无法继续前进，因为没有人了解工具最初是如何配置的。

### 采用构建和购买策略
Austin Hay: "Everybody thinks that marketing technology is just the third party tools, but actually it's designing, architecting and building that stuff on top of your third party tools. That's how you actually have a lot of velocity is thinking about not just build versus buy. It's build and buy now. So, you buy the tool to get 90% of the way there and then you build the cool thing on top with the other 10%."

为 90% 的标准基础设施购买一流的 SaaS 工具，并为自定义内部逻辑预留工程资源。

### 过渡到概率建模
Austin Hay: "So, what that means is these ad networks are becoming more complex, sophisticated, and interesting, right at the same time that it's harder for marketers to really understand how they're spending money. And so I am paying a lot of attention to how marketers make decisions with probabilistic data because most of the work that I'm doing now is actually saying, well, given that we don't have determinist data about a per certain audience or where somebody came from, how can I find other information that will create a model for 30% of the population and we can use that to extrapolate to a hundred."

由于隐私变化限制了确定性跟踪，因此可以使用代表性数据子集通过建模来推断总体广告效果。

### 优先考虑产品而不是品牌重塑
Elena Verna 3.0: "Never ever once have I seen a rebrand or redesign, especially of UK marketing site produce good performance results. New CMO comes in designing their website or designing the brand as if it was reflection of their personal taste, and oftentimes it's promised with our acquisition is going to go up and it never materializes into anything meaningful."

营销网站的重新设计很少能成为有效的增长杠杆；专注于数据驱动的产品实验以改善获取。

### 针对您的特定瓶颈进行招聘
Emily Kramer: "Forget the product marketing content partner, demand and growth, forget all of it, and just think of marketing as you need a fuel and you need an engine. And goal is like all the things that you're creating. I mean this should be obvious, but it's the content, it's the word, it's the design in some regard. All the things that you're making, all the things that are going to add value."

在招聘人员之前确定您是否需要更多高质量的内容（燃料）或更好地分配现有资产（引擎）。

### 将招聘与商业模式相匹配
Emily Kramer: "And there's such a range of being a deep specialist. You have people that are just deep SEO specialists or deep paid search specialists or writers and they love to write and they write long form content and that's definitely a part of what marketing does, but it's a specialty for sure. And then you have people that are just very much generalists and can handle all areas of marketing."

优先考虑在特定模式（例如 PLG 或企业销售）方面具有经验的候选人，而不是那些仅熟悉行业或受众的候选人。

### 利用AI进行战略迭代
Jonathan Becker: "On our creative group, we can come up with mockups, in literally, 1% of the time that it took. And so you still have to understand what questions to ask of the AI and be capable of iterating, but these rough drafts that you might show the artwork of to a client to say, "Do we like this more or do we like this more?" That's AI generated."

使用生成式AI处理手动制作任务，以便团队可以专注于战略问题和创意方向。

### 实施正式的跟踪计划
From "How today’s top consumer brands measure marketing’s impact": "Digital tracking is measuring marketing performance through UTM codes or tracking pixels. When tracking is discussed, “last touch” or “last click” attribution is always mentioned as the default form of measurement on the internet."

基础测量需要详细计划要跟踪的事件以及事件发生的时间，并通过标签管理器进行管理。

### 通过渠道重点调整 MarTech
Austin Hay: "Classically in a B2B business you see it in rev ops or some types of systems role because you have to serve not only users coming into your funnel, but then the businesses that you're serving afterwards. In a B2C business, your user funnel is actually really simple acquiring users and you're getting them into your product and then product is taking them over. There's no additional CRM, so usually your CDP is the source of truth and that's where you might actually see marketing technology fit in with growth a lot more."

House MarTech 在 B2C 公司的增长中重点关注用户漏斗，但在 B2B 公司的 RevOps 中重点关注销售周期。

## 模板和框架

- **燃料与引擎框架** (Emily Kramer) - 用于诊断营销需求的心理模型。燃料是你创造的东西（内容、文案、设计、定位）。引擎是你分发它的方式（电子邮件操作、SEO 技术
- **The Golden MarTech Stack** (Austin Hay) - Austin 为现代 B2C 和 B2B 公司推荐的基准工具堆栈。
- **MarTech 组织设计矩阵** (Austin Hay) - 一个 2x2 矩阵，用于根据两个维度确定 MarTech 在组织中的位置：B2C 与 B2B、集中式与分散式。
- **营销衡量的三种方法**（当今顶级消费品牌如何衡量营销影响）- 概述框架对衡量营销有效性的三种主要方法及其优点、缺点和用例进行了分类
- **前三名绩效营销人员** (Timothy Davis) - 建立初始绩效营销团队的推荐顺序和个人资料
- **GACCS 框架（目标、受众、创意、渠道、干系人）**（如何让您的营销团队发挥更大影响力）- 一个由 5 部分组成的营销概要框架，用简单的一页程序取代复杂的流程，以便在任何营销工作开始之前协调团队。由艾米丽·克拉创建
- **Intercom 的内容团队结构（3 支柱模型）**（内容驱动型增长）- Intercom 如何将 10 人内容团队组织为三大支柱：受众、支持和渠道
- **营销基础清单（GACCS 的先决条件）**（如何让您的营销团队发挥更大的影响力）- GACCS 有效运作之前需要到位的五个基本要素，每个要素都对应于 GACCS 框架的一个字母。

有关详细信息的完整列表，请参阅 `references/artifacts.md`。

## 帮助用户的问题

- “你们目前的增长瓶颈是缺乏内容（燃料）还是缺乏发行（引擎）？”
- “您的候选人是否拥有您的特定业务模式（例如 PLG 或企业销售）方面的经验？”
- “MarTech 目前在哪里报告，这是否符合您的 B2B 或 B2C 重点？”
- “您的创意团队正在执行哪些手动任务可以通过AI加速？”
- “您是使用正式计划来跟踪数据，还是您的测量设置是临时的？”

## 标记的常见错误

- **过度投资于美学重塑** - 与产品实验相比，重新设计很少能成为有效的增长杠杆。
- **针对行业而非模型进行招聘** - 商业模式经验比行业熟悉度更能预测成功。
- **仅依赖确定性跟踪** - 隐私变化使纯粹的确定性归因变得越来越不可靠。
- **让自我驱动机构选择** - 机构通常关注页面顶部排名，而不是目标受众优化。

## 深入探讨

有关 11 位嘉宾的全部 14 条见解，请参阅 `references/guest-insights.md`

## 相关skill

- 推出计划
- PLG 销售整合
- 企业销售动议
- 第一批 B2B 客户