├── .nojekyll ├── README.md ├── 用户增长 ├── README.md ├── 增长黑客.md ├── 鸿沟理论.md ├── 移动端增长 │ └── README.md └── PMF.md ├── 运营分析 ├── 用户识别.md ├── README.md ├── AB 测试.md └── 流量分析.md ├── AAARR ├── README.md └── 99~参考资料 │ └── 2023~The Ultimate List of Product Metrics.md ├── INTRODUCTION.md ├── 88~数据分析工具 └── Google Analytics │ ├── 1~人群 │ └── README.md │ ├── 1~探索报表 │ ├── README.md │ ├── 漏斗探索报表.md │ ├── 路徑探索報表.md │ └── 區隔重疊報表.md │ ├── 99~参考资料 │ ├── GA4 从入门到精深.md │ └── 一次看懂電商品牌必用 GA4 報表.md │ └── 1~事件 │ ├── 事件报表.md │ └── README.md ├── .DS_Store ├── 北极星指标 ├── 案例 │ └── 2022-拼多多：用北极星指标构建增长模型.md ├── README.md └── 常见运营指标拆解.md ├── .gitattributes ├── .github └── ISSUE_TEMPLATE │ ├── custom.md │ ├── feature_request.md │ └── bug_report.md ├── 99~参考资料 └── 2022~《高阶增长黑客实战训练营》 │ └── 2022~《高阶增长黑客实战训练营》学习笔记.md ├── _sidebar.md ├── .gitignore ├── index.html └── LICENSE /.nojekyll: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /用户增长/README.md: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /用户增长/增长黑客.md: -------------------------------------------------------------------------------- 1 | # 增长黑客 2 | -------------------------------------------------------------------------------- /用户增长/鸿沟理论.md: -------------------------------------------------------------------------------- 1 | # 鸿沟理论 2 | -------------------------------------------------------------------------------- /运营分析/用户识别.md: -------------------------------------------------------------------------------- 1 | # 用户识别 2 | -------------------------------------------------------------------------------- /AAARR/README.md: -------------------------------------------------------------------------------- 1 | # AAARR 2 | -------------------------------------------------------------------------------- /INTRODUCTION.md: -------------------------------------------------------------------------------- 1 | # 本篇导读 2 | -------------------------------------------------------------------------------- /运营分析/README.md: -------------------------------------------------------------------------------- 1 | # 产品运营分析 2 | -------------------------------------------------------------------------------- /88~数据分析工具/Google Analytics/1~人群/README.md: -------------------------------------------------------------------------------- 1 | # 人群 2 | -------------------------------------------------------------------------------- /88~数据分析工具/Google Analytics/1~探索报表/README.md: -------------------------------------------------------------------------------- 1 | # GA4 中的探索报表 2 | -------------------------------------------------------------------------------- /.DS_Store: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wx-chevalier/GrowthHacking-Notes/HEAD/.DS_Store -------------------------------------------------------------------------------- /运营分析/AB 测试.md: -------------------------------------------------------------------------------- 1 | # A/B 测试 2 | 3 | ![AB Test 流程图](https://ngte-superbed.oss-cn-beijing.aliyuncs.com/item/20230113164738.png) 4 | -------------------------------------------------------------------------------- /用户增长/移动端增长/README.md: -------------------------------------------------------------------------------- 1 | # 移动端增长 2 | 3 | ![2016~移动应用的增长框架图](https://ngte-superbed.oss-cn-beijing.aliyuncs.com/uPic/iLda6Mio84yv.png) 4 | -------------------------------------------------------------------------------- /北极星指标/案例/2022-拼多多：用北极星指标构建增长模型.md: -------------------------------------------------------------------------------- 1 | # 拼多多：用北极星指标构建增长模型 2 | 3 | # Links 4 | 5 | - https://www.iyunying.org/growth-hacker/250024.html 6 | -------------------------------------------------------------------------------- /.gitattributes: -------------------------------------------------------------------------------- 1 | 技术视野.xmind filter=lfs diff=lfs merge=lfs -text 2 | *.zip filter=lfs diff=lfs merge=lfs -text 3 | *.pdf filter=lfs diff=lfs merge=lfs -text 4 | -------------------------------------------------------------------------------- /北极星指标/README.md: -------------------------------------------------------------------------------- 1 | # 评估指标 2 | 3 | # Links 4 | 5 | - [电商指标详细介绍和推荐系统常用评估指标](https://mp.weixin.qq.com/s/bzeXdTplX6lIbT-03QDPTg): 本文主要是针对电商中的常见指标进行归类介绍，包括推荐系统中需要关注的指标。TODO！ -------------------------------------------------------------------------------- /.github/ISSUE_TEMPLATE/custom.md: -------------------------------------------------------------------------------- 1 | --- 2 | name: Custom issue template 3 | about: Describe this issue template's purpose here. 4 | title: "" 5 | labels: "" 6 | assignees: "" 7 | --- 8 | -------------------------------------------------------------------------------- /88~数据分析工具/Google Analytics/99~参考资料/GA4 从入门到精深.md: -------------------------------------------------------------------------------- 1 | # GA4 从入门到精深 2 | 3 | ![GA 发展历程](https://ngte-superbed.oss-cn-beijing.aliyuncs.com/item/20230302151842.png) 4 | 5 | ![GA4 特点](https://ngte-superbed.oss-cn-beijing.aliyuncs.com/item/20230302152045.png) 6 | 7 | # Google Ads 8 | -------------------------------------------------------------------------------- /运营分析/流量分析.md: -------------------------------------------------------------------------------- 1 | # 产品流量分析 2 | 3 | UTM 的全称是 Urchin Tracking Module，是用于追踪网站流量来源的利器，关于 UTM 背景知识介绍可以参考网上其他内容，这里不再赘述。下图是我们解析 UTM 信息的完整逻辑。 4 | 5 | ![](https://ww1.sinaimg.cn/large/007rAy9hly1g099veaxdlj30m80c2q3t.jpg) 6 | 7 | 流量数据通过 UTM 参数解析后，我们可以很容易满足以下需求： 8 | 9 | - 查看各搜索引擎导流情况以及这些流量来自于哪些热门搜索词。 10 | - 市场部某次活动带来的流量大小，如：页面浏览数、独立访问用户数等。 11 | - 从站内分享出去的链接在各分享平台（如：微信、微博）被浏览的情况。 12 | -------------------------------------------------------------------------------- /88~数据分析工具/Google Analytics/1~事件/事件报表.md: -------------------------------------------------------------------------------- 1 | # GA4 中的事件报表 2 | 3 | 從左側選單選擇「報表 → Life Cycle → 參與 → Events」就可以進到事件報表 4 | 5 | ![事件报表](https://ngte-superbed.oss-cn-beijing.aliyuncs.com/item/20230302180306.png) 6 | 7 | 下滑至下方有各種事件對應各種欄位指標可進行查看 8 | 9 | ![各种事件指标](https://ngte-superbed.oss-cn-beijing.aliyuncs.com/item/20230302180331.png) 10 | 11 | 透過事件名稱旁邊的「+」號，可選擇想查看的次要維度，可作為進階觀察與事件之間的關聯 12 | 13 | ![事件名称与维度](https://ngte-superbed.oss-cn-beijing.aliyuncs.com/item/20230302180400.png) 14 | 15 | 點擊任一事件，就可進一步查看更多細節數據，而上方也可輕鬆切換欲查看的事件參數 16 | 17 | ![事件参数](https://ngte-superbed.oss-cn-beijing.aliyuncs.com/item/20230302180431.png) 18 | -------------------------------------------------------------------------------- /88~数据分析工具/Google Analytics/1~探索报表/漏斗探索报表.md: -------------------------------------------------------------------------------- 1 | # 漏斗探索报表 2 | 3 | 透過「漏斗探索報表」主要用於分析「使用者的歷程」，像行銷漏斗一樣，可觀察每一層動作到下一層動作的變化，舉例來說可分析： 4 | 5 | - 消費者在哪個購物環節流失？ 6 | - 上一個事件到下一步耗費多久時間？ 7 | - 各個媒體的行銷漏斗轉換表現為何？ 8 | 9 | 進到「探索」點擊「範本庫」我們就可以開啟「漏斗探索報表」，基本上透過範本創建時，系統預設會帶入一些維度指標的設置，但我們都可以透過左側「變數」跟「分頁設定」的欄位，依據個人需求自由調整想查看的報表內容。而當中最值得注意的是「分頁設定」中的「步驟」這個欄位，是影響我們漏斗探索報表的一個核心關鍵，透過調整「步驟」，我們可以自由去觀察每個步驟數據的層層變化。 10 | 11 | 透過「分頁設定」中「步驟」這個欄位的調整，可以觀察從一個步驟到下一個步驟的變化數據： 12 | 13 | ![分页设定](https://ngte-superbed.oss-cn-beijing.aliyuncs.com/item/20230302191154.png) 14 | 15 | 透過選擇「事件」來快速定義每一個「步驟」： 16 | 17 | ![细分](https://ngte-superbed.oss-cn-beijing.aliyuncs.com/item/20230302191327.png) 18 | 19 | 另外也可透過「細分」設置進一步想查看細節的「維度」。 20 | -------------------------------------------------------------------------------- /.github/ISSUE_TEMPLATE/feature_request.md: -------------------------------------------------------------------------------- 1 | --- 2 | name: Feature request 3 | about: Suggest an idea for this project 4 | title: "" 5 | labels: "" 6 | assignees: "" 7 | --- 8 | 9 | **Is your feature request related to a problem? Please describe.** 10 | A clear and concise description of what the problem is. Ex. I'm always frustrated when [...] 11 | 12 | **Describe the solution you'd like** 13 | A clear and concise description of what you want to happen. 14 | 15 | **Describe alternatives you've considered** 16 | A clear and concise description of any alternative solutions or features you've considered. 17 | 18 | **Additional context** 19 | Add any other context or screenshots about the feature request here. 20 | -------------------------------------------------------------------------------- /用户增长/PMF.md: -------------------------------------------------------------------------------- 1 | # PMF 2 | 3 | PMF（产品市场匹配度）这个概念。这个最早由曾经的网景创始人 Marc Andreesen 在 2007 年提出，PMF 可能是决定一款产品（创业公司）是否能够存活唯一重要的事情。根据这个有些刺眼的观点，我们来讨论以下三个问题： 4 | 5 | - 每个人都想要一个最好的团队，那么到底团队能够带给你的是什么？ 6 | 7 | 以细节雕琢著称的锤子科技至今并没有带来任何一款市场表现极佳的产品。小而美的豌豆荚也在被阿里巴巴收购之后承认应用分发市场的艰难。不存在的或者过饱和的市场并不会管你到底有多聪明。如果你处在一个爆发性增长的大市场之中，即便团队稍弱，产品也要容易成功的多。 8 | 9 | - 非常好的产品难道不能创造一个非常大的新市场？ 10 | 11 | 不是每个人都能有足够的勇气和预见性在一个全新的市场上赌一把。这是个概率极小的事件。曾经的虚拟机软件 VMWare 催生了一个全新的虚拟化操作系统市场，这让它的产品本身产生了深远的变革性。这个案例中的团队是否优秀并不是第一个位，如果有一个能达到基本要求的团队来打造这款产品，也是极有可能成功的。 12 | 13 | - 如何辨别出真实有意义的 PMF？ 14 | 15 | 早期产品如果达成了不错的交易会给团队一种已经找到合适 PMF 的错觉。获得天使融资，第一款产品上线，第一笔交易产生，用户和收益都能看见不小的增长，增长计划也完全合理，是不是感觉快要走上人生巅峰了？我们会误认为交易数和增长速度是判断 PMF 的重要标准，随着早期用户的增长，不同用户对产品的核心服务可能产生认知差异，对待不同目标用户的运营策略可能已经需要改变。所以 PMF 的核心还是可复制性的问题。能够将已有问题解决方案变成目标用户的首要选择才算找到了匹配的 PMF。 16 | 17 | 你可以从以下角度来检验你所寻找的 PMF 是否合适： 18 | 19 | - 你的目标用户是什么样的群体？ 20 | - 核心的付费用户是什么样的群体？ 21 | - 针对目标用户增长的运营策略是什么？ 22 | - 用户使用产品过程中做出的决策是否“简”“短”“有效”？ 23 | - 有没有一个清晰的、并与目标市场匹配的产品路线图？ 24 | - 针对新的运营人员，有没有能够让他们快速上手，完成运营目标的方法？ 25 | -------------------------------------------------------------------------------- /88~数据分析工具/Google Analytics/1~探索报表/路徑探索報表.md: -------------------------------------------------------------------------------- 1 | # 路徑探索報表 2 | 3 | 透過「路徑探索報表」我們可以更加了解如何優化不同群體的使用者體驗，舉例來說可分析： 4 | 5 | - 造訪某個特定頁面的消費者下一步多半去哪？ 6 | - 消費者在移除購物車前都會做什麼？ 7 | - 不同轉換平台瀏覽動作有何不同？ 8 | 9 | 進到「探索」點擊「範本庫」我們就可以開啟「路徑探索報表」，同樣的透過範本創建時，系統預設就會帶入一些維度指標的設置，但我們一樣可透過左側「變數」跟「分頁設定」的欄位，依據個人需求自由調整想查看的報表內容。 10 | 11 | 而針對路徑探索報表，建議大家打開範本後，可直接點擊右上角「重新開始」按鈕，來重新依據個人分析需求建置一個全新的報表。 12 | 13 | - 透過設置起點，可正向查看使用者每一步驟是如何走下去。 14 | - 透過設置終點，則可逆向從結果回推使用者每一步驟的原因。 15 | 16 | 過程中直接點擊想查看的節點，就可展開一個新的步驟做進一步設置及查看。從「範本庫」點擊「路徑探索報表」後會開啟預設的設定，建議可透過右上角「重新開始」去重新設計一個屬於自己需求的路徑報表： 17 | 18 | ![路径探索报表](https://ngte-superbed.oss-cn-beijing.aliyuncs.com/item/20230302191448.png) 19 | 20 | 透過點擊想查看的節點，就可展開下一步驟做進階查看： 21 | 22 | ![查看下一步](https://ngte-superbed.oss-cn-beijing.aliyuncs.com/item/20230302191514.png) 23 | 24 | 每個步驟也都可選擇自己想查看的節點類型，做不同的分析使用： 25 | 26 | ![节点修改](https://ngte-superbed.oss-cn-beijing.aliyuncs.com/item/20230302192308.png) 27 | 28 | 透過設置終點，可逆向回推使用者完成事件前的每一步，如：移除購物車前做過什麼： 29 | 30 | ![细致分析](https://ngte-superbed.oss-cn-beijing.aliyuncs.com/item/20230302192543.png) 31 | -------------------------------------------------------------------------------- /.github/ISSUE_TEMPLATE/bug_report.md: -------------------------------------------------------------------------------- 1 | --- 2 | name: Bug report 3 | about: Create a report to help us improve 4 | title: "" 5 | labels: "" 6 | assignees: "" 7 | --- 8 | 9 | **Describe the bug** 10 | A clear and concise description of what the bug is. 11 | 12 | **To Reproduce** 13 | Steps to reproduce the behavior: 14 | 15 | 1. Go to '...' 16 | 2. Click on '....' 17 | 3. Scroll down to '....' 18 | 4. See error 19 | 20 | **Expected behavior** 21 | A clear and concise description of what you expected to happen. 22 | 23 | **Screenshots** 24 | If applicable, add screenshots to help explain your problem. 25 | 26 | **Desktop (please complete the following information):** 27 | 28 | - OS: [e.g. iOS] 29 | - Browser [e.g. chrome, safari] 30 | - Version [e.g. 22] 31 | 32 | **Smartphone (please complete the following information):** 33 | 34 | - Device: [e.g. iPhone6] 35 | - OS: [e.g. iOS8.1] 36 | - Browser [e.g. stock browser, safari] 37 | - Version [e.g. 22] 38 | 39 | **Additional context** 40 | Add any other context about the problem here. 41 | -------------------------------------------------------------------------------- /88~数据分析工具/Google Analytics/1~探索报表/區隔重疊報表.md: -------------------------------------------------------------------------------- 1 | # 區隔重疊報表 2 | 3 | 透過「區隔重疊報表」可進行關聯性的觀察，了解消費者不同客層或行為之間的交集，舉例來說可分析： 4 | 5 | - 消費者的平台跨裝置的使用情形？ 6 | - 手機流量中不同作業系統間的關聯？ 7 | - 如何圈選出品牌專屬的高價值群體？ 8 | 9 | 同樣在透過範本創建時，系統預設會帶入一些基礎設置範本，同樣都可透過左側「變數」跟「分頁設定」的欄位，依據個人需求自由調整想查看的報表內容。 10 | 11 | 針對「區隔重疊報表」，首先我們可透過「變數」中的「區隔」去自定義希望查看的區隔項目，設置好區隔後，就可拖拉點選至「分頁設定」中的「區隔比較」欄位，例如：可針對使用者、事件或工作階段…等做許多不同類型的區隔設置。 12 | 13 | 基本上光是「區隔」的設置方式就有數以萬計的變化，依據不同需求場景，可查看的「區隔重疊報表」同樣可以有千變萬化的做法，故強烈建議大家使用時需多動動腦，花心思深入摸索，或許可從中找到對品牌重大關鍵的新發現喔！ 14 | 15 | ![透過「變數」中的「區隔」欄位，可自由設置區隔做進階的分析](https://ngte-superbed.oss-cn-beijing.aliyuncs.com/item/20230302192736.png) 16 | 17 | 透過「分頁設定」中「區隔比較」的欄位，可自由調整想觀察的交集項目，如上圖可觀察各種不同裝置流量的關聯性： 18 | 19 | ![区域分析](https://ngte-superbed.oss-cn-beijing.aliyuncs.com/item/20230302192859.png) 20 | 21 | 透過「分頁設定」中「細目」的欄位，則可進階在報表展開不同維度下的數據做觀察： 22 | 23 | ![项目](https://ngte-superbed.oss-cn-beijing.aliyuncs.com/item/20230302193234.png) 24 | 25 | 透過篩選區隔不同作業系統，可觀察在手機流量中，不同作業系統間的關聯性或使用情形： 26 | 27 | ![篩選區](https://ngte-superbed.oss-cn-beijing.aliyuncs.com/item/20230302193356.png) 28 | -------------------------------------------------------------------------------- /99~参考资料/2022~《高阶增长黑客实战训练营》/2022~《高阶增长黑客实战训练营》学习笔记.md: -------------------------------------------------------------------------------- 1 | > [原文地址](https://doc.weixin.qq.com/doc/w3_AJcAvgapACcLVauzm0jRuW0Udx780?scode=ALQAZQf1AAkMN1gIOwAJcAvgapACc) 2 | 3 | # 高阶增长黑客实战训练营 4 | 5 | # 一、建立【増长大局观】，学会从业务负责人的角度看增长 6 | 7 | ## 思考 8 | 9 | > 1.什么是增长？ 2.需要从哪些方面增长？ 10 | 11 | 对于增长，我们应该需要具备全局意识，从大看到小，逐步细化，不能够局限于某一块。通过审视增长全局，评估是否有增长点，然后找到增长重点，且不能孤军奋战，要学会学习借鉴，找到好的方式方法进行模仿创新。 12 | 13 | - 评估增长可行性：对于一个产品，只有当有用户需要使用你的时候，接下来你才会有需要增长的空间，这样无论是做推广还是宣传，拉来的新客户都会被进行转化。但是如果产品没有人想要去用，即便有客户，也会很快流失。这个时候需要的不是增长，而是去研究如何优化产品，如何迭代产品，找到产品的亮点等等。【需要学习的是，如何判断达到了 PMF？如何找到 PMF？】 14 | 15 | - 评估增长重点：每个产品都会有自己的市场规模、生命周期、品类划分、商业模式等特性，所以不能照搬别人优秀的经验方法，需要通过四个问题来判断自己产品的增长重点是什么。【学习：如何通过四个问题找到增长重点？】 16 | 17 | - 借鉴增长思路：可以从 0 开始，也可以站在巨人的肩膀上进行发力，所以借鉴竞品或者非竞品的增长思路是很有必要的。对于不能的对比因素需要有不同的借鉴方面【学习：不能类型如何侧重去借鉴？】当我们分析全局之后，需要找到增长发力点从而执行达到想要的效果。对于增长发力点的寻找，前提我们应该明白该公司或者该产品关注点是什么，当下需要考虑或者管理层想要达到的效果是什么，也就是我们需要考虑的北极星指标，当我们知道北极星指标之后，我们可以对其进行拆解，理解其构成因素，从而搭建增长模型。 18 | 19 | - 北极星指标：明确商业目标和用户价值，相当于从商业和用户两个方面去考虑，找出能想到的备选指标，然后结合实际情况确定北极星指标。【学习：如何找到北极星指标？北极星指标有哪些标准？】 20 | 21 | - 构建增长模型：对于能够影响北极星的指标，我们应该能够找到相关影响指标，但是这些指标应该需要用一个简单的公式给串起来，相当于把北极星指标进行拆解。然后根据用户核心转化路径明确进行模型组装，包括全链漏斗型和因子分解型。在构建增长模型之后，可以在不同的场景进行应用。【学习：学习拆解北极星指标，构建模型，以及模型的应用？】 22 | -------------------------------------------------------------------------------- /_sidebar.md: -------------------------------------------------------------------------------- 1 | - 1 99~参考资料 [1] 2 | - [1.1 《高阶增长黑客实战训练营》学习笔记](/99~参考资料/2022-《高阶增长黑客实战训练营》学习笔记.md) 3 | - [2 AAARR](/AAARR/README.md) 4 | 5 | - 3 Google Analytics [4] 6 | - [3.1 1.事件 [1]](/Google%20Analytics/1.事件/README.md) 7 | - [3.1.1 事件报表](/Google%20Analytics/1.事件/事件报表.md) 8 | - [3.2 1.人群](/Google%20Analytics/1.人群/README.md) 9 | 10 | - [3.3 1.探索报表 [3]](/Google%20Analytics/1.探索报表/README.md) 11 | - [3.3.1 區隔重疊報表](/Google%20Analytics/1.探索报表/區隔重疊報表.md) 12 | - [3.3.2 漏斗探索报表](/Google%20Analytics/1.探索报表/漏斗探索报表.md) 13 | - [3.3.3 路徑探索報表](/Google%20Analytics/1.探索报表/路徑探索報表.md) 14 | - 3.4 99~参考资料 [2] 15 | - [3.4.1 GA4 从入门到精深](/Google%20Analytics/99~参考资料/GA4%20从入门到精深.md) 16 | - [3.4.2 一次看懂電商品牌必用 GA4 報表](/Google%20Analytics/99~参考资料/一次看懂電商品牌必用%20GA4%20報表.md) 17 | - [4 INTRODUCTION](/INTRODUCTION.md) 18 | - [5 北极星指标 [2]](/北极星指标/README.md) 19 | - [5.1 常见运营指标拆解](/北极星指标/常见运营指标拆解.md) 20 | - 5.2 案例 [1] 21 | - [5.2.1 拼多多：用北极星指标构建增长模型](/北极星指标/案例/2022-拼多多：用北极星指标构建增长模型.md) 22 | - [6 用户增长 [3]](/用户增长/README.md) 23 | - [6.1 PMF](/用户增长/PMF.md) 24 | - [6.2 增长黑客](/用户增长/增长黑客.md) 25 | - [6.3 鸿沟理论](/用户增长/鸿沟理论.md) 26 | - [7 运营分析 [3]](/运营分析/README.md) 27 | - [7.1 AB 测试](/运营分析/AB%20测试.md) 28 | - [7.2 流量分析](/运营分析/流量分析.md) 29 | - [7.3 用户识别](/运营分析/用户识别.md) -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | # Ignore all 2 | * 3 | 4 | # Unignore all with extensions 5 | !*.* 6 | 7 | # Unignore all dirs 8 | !*/ 9 | 10 | .DS_Store 11 | 12 | # Logs 13 | logs 14 | *.log 15 | npm-debug.log* 16 | yarn-debug.log* 17 | yarn-error.log* 18 | 19 | # Runtime data 20 | pids 21 | *.pid 22 | *.seed 23 | *.pid.lock 24 | 25 | # Directory for instrumented libs generated by jscoverage/JSCover 26 | lib-cov 27 | 28 | # Coverage directory used by tools like istanbul 29 | coverage 30 | 31 | # nyc test coverage 32 | .nyc_output 33 | 34 | # Grunt intermediate storage (http://gruntjs.com/creating-plugins#storing-task-files) 35 | .grunt 36 | 37 | # Bower dependency directory (https://bower.io/) 38 | bower_components 39 | 40 | # node-waf configuration 41 | .lock-wscript 42 | 43 | # Compiled binary addons (https://nodejs.org/api/addons.html) 44 | build/Release 45 | 46 | # Dependency directories 47 | node_modules/ 48 | jspm_packages/ 49 | 50 | # TypeScript v1 declaration files 51 | typings/ 52 | 53 | # Optional npm cache directory 54 | .npm 55 | 56 | # Optional eslint cache 57 | .eslintcache 58 | 59 | # Optional REPL history 60 | .node_repl_history 61 | 62 | # Output of 'npm pack' 63 | *.tgz 64 | 65 | # Yarn Integrity file 66 | .yarn-integrity 67 | 68 | # dotenv environment variables file 69 | .env 70 | 71 | # next.js build output 72 | .next 73 | -------------------------------------------------------------------------------- /88~数据分析工具/Google Analytics/1~事件/README.md: -------------------------------------------------------------------------------- 1 | # GA4 中的事件 2 | 3 | # 自动收集的事件 4 | 5 | 「自動收集的事件」如其名就是在完成 GA4 設置後，GA4 會自動預設收集的事件。只要你使用的是 Google Analytics for Firebase SDK 或 gtag.js，就不必另外撰寫程式碼即可收集這些事件。以下也列出常用事件給大家參考，其餘更多自動收集的事件可參考 [Google 官方說明](https://support.google.com/analytics/answer/9234069?hl=zh-Hant&ref_topic=9756175)。 6 | 7 | - Web（gtag.js） 8 | 9 | - First_visit（初次造訪） 10 | - Session_start（工作階段） 11 | - Page_view（瀏覽頁面） 12 | - User_engagement 用户参与度 13 | 14 | - App（SDK） 应用程序（SDK） 15 | 16 | - First_open 首先打开 17 | - Dynamic_link_app_open 18 | - Screen_view 屏幕视图 19 | - User_engagement 用户参与度 20 | 21 | # 加強型評估事件 22 | 23 | 「加強型評估事件」可用來評估使用者與你的內容互動之情況。不需要修改任何程式碼，只要為網站資料串流開啟「加強型評估」功能，GA4 就會立即開始傳送收集事件。如何開啟「加強型評估」的方式，就請大家回頭參考[這篇文章](https://blog.shopline.tw/google-analytics-4-instruction-part1/#-shopline-ga4)。以下同樣列出常用加強型評估事件供大家參考，其餘更多加強型評估事件細節可參考 [Google 官方說明](https://support.google.com/analytics/answer/9216061?hl=zh-Hant&ref_topic=9756175)。 24 | 25 | - Scroll（捲動網頁到 90%） 26 | - View_search_result（站內搜尋） View_search_result（站内搜索） 27 | - Click 28 | - Video_start 视频开始 29 | - Video_progress 30 | - `Video*complete 视频*完成` 31 | - File_download 文件下载 32 | 33 | # 建議事件 34 | 35 | 「建議事件」是在網站或行動應用程式中加入這些事件，有助你評估額外功能和行為，並產生更實用的報表。這類事件需要搭配其他相關背景資訊進行評估才會有意義，因此不會自動傳送。SHOPLINE 做為電商品牌的好夥伴，已預設好針對「電商」的建議事件，以下為大家整理說明，而關於其他場景的應用還請大家自行參考 Google 官方說明。 36 | 37 | - View_item_list（瀏覽商品清單） 38 | - View_item（瀏覽商品） 39 | - Select_item（點擊商品清單資訊） 40 | - Add_to_wishlist（將商品加入收藏） 41 | - Add_to_cart（加入購物車） 42 | - View_cart（瀏覽購物車頁面） 43 | - Begin_checkout（開始結帳） 44 | - Add_shipping_info（結帳時增加運送資訊） 45 | - Add_payment_info（結帳時增加付款資訊） 46 | - Purchase（完成購買） 47 | - Search（搜尋） 48 | - Sign_up（註冊） 49 | - Refund（退款） 50 | - Remove_from_cart（移除購物車商品） 51 | - View_promotion（瀏覽促銷訊息） 52 | - Select_promotion（點擊促銷訊息） 53 | 54 | # 自訂事件 55 | 56 | 「自訂事件」如其名，就是指名稱和參數由你自行定義的事件，可收集你特別重視的相關資訊。但基本上前面上述介紹的自動收集的事件、加強型評估事件、建議事件就已可囊括多數用戶的追蹤需求，在此就不多做說明列舉，若有興趣還請大家自行參考 Google 官方說明。 57 | -------------------------------------------------------------------------------- /北极星指标/常见运营指标拆解.md: -------------------------------------------------------------------------------- 1 | # 常见运营指标拆解 2 | 3 | 按照必要的步骤拆解用户流程，拆解核心指标公式，会在公式当中找到很多相关的抓手点，每个点都做好用户增长是必然的。不同的行业指标是不一样的，比如住宿行业北极星指标就是间夜数。 4 | 5 | # 工具类、资讯类 6 | 7 | 代表产品由高德地图、小米运动、有道词典、今日头条、趣头条、腾讯新闻。 8 | 9 | 北极星指标：日活. 10 | 11 | ### 日活公式 12 | 13 | ``` 14 | （1）日活=新增用户+活跃老用户 15 | （2）新增用户=渠道A新增+渠道B新增+渠道C新增+渠道N+…… 16 | （3）活跃老用户=核心用+成熟用户+激活用户+沉默激活用户+流失召回用户 17 | 将（2）（3）带入公式（1）中即可得到日活公式 18 | （3）中的用户分类依据具体产品具体定义 19 | ``` 20 | 21 | 核心用户完成了哪些动作成为了核心用户，找到这个核心动作以及核心魔法数字。 22 | 23 | ### 活跃渗透率 24 | 25 | ``` 26 | PV渗透率=日/月PV：当日浏览量 27 | UV渗透率=日/月UV：当日浏览人数 28 | 日活渗透率=日/月活跃用户（DAU/MAU）：在所选时间内，用户主观打开过至少一次app，即算活跃用户 29 | ``` 30 | 31 | ### 用户黏性公式 32 | 33 | ``` 34 | 启动次数维度：日启动总次数/日活跃用户数 35 | 使用时长维度：日使用总时长/日活跃用户数 36 | 连续时长维度：日使用总时长/日启动次数 37 | ``` 38 | 39 | ## UGC 社区类 40 | 41 | 代表类产品新浪微博、知乎、豆瓣、抖音、快手、微信朋友圈、天涯论坛。 42 | 43 | **\*北极星指标： UGC 用户数\*** 44 | 45 | ### 指标拆解 46 | 47 | ``` 48 | UGC用户数=评论用户数+点赞用户数+发帖用户数+转发用户数 49 | UGC用户数=日活用户数*UGC渗透率 50 | 日活用户数=新增用户数+留存用户数 51 | 新增用户数=渠道A新增+渠道B新增+渠道C新增+渠道N+…… 52 | 留存用户数=核心用+成熟用户+激活用户+沉默激活用户+流失召回用户 53 | ``` 54 | 55 | ### 渗透率 56 | 57 | ``` 58 | PV渗透率=日/月PV：当日浏览量 59 | UV渗透率=日/月UV：当日浏览人数 60 | 日活渗透率=日/月活跃用户（DAU/MAU）：在所选时间内，用户主观打开过至少一次app，即算活跃用户。 61 | UGC渗透率=UGC用户数/日活用户数 62 | ``` 63 | 64 | ### 微博为例 65 | 66 | ``` 67 | 用户UGC数=用户数 x (发帖转化率 + 转发转化率 + 评论转化率 + 点赞转化率） 68 | 发帖转化率=（发帖KOL数+发帖媒体数）/（KOL用户数+媒体用户数 ） 69 | 70 | PS：新浪微博12、13年之后发帖主要集中在头部用户和垂类头部用户。 71 | 72 | 发帖数=x转发数+y评论数+z点赞数 73 | PS：发帖数和转发数、评论数、点赞数是线性正相关的。 74 | 75 | 主要策略就是提升头部用户发帖数量产生话题性，同时拓展垂类用户产生优质内容， 76 | 引导普通腰部及以下用户参与讨论，产生转发数、品论数、点赞数。 77 | PS：用户互相关注动作、UGC动作留存率非常高，同时也是微博高价值用户 78 | ``` 79 | 80 | ## 交易类 81 | 82 | **\*北极星指标 GMV\*** 83 | 84 | ### 公式拆解 85 | 86 | ``` 87 | GMV = 流量 * 转化率 * 客单价 88 | 流量 = 渠道A新增+渠道B新增+渠道C新增+渠道N+…… 89 | 转化率（banner转户率、活动转化率、类目转化率、搜索转化率、提交订单转化率、绑卡转化率、支付转化率、）等各级漏斗转化率 90 | 平均客单价=GMV/付费用户数 91 | 平均订单价=GMV/支付订单数 92 | ``` 93 | 94 | ### 价值公式 95 | 96 | ``` 97 | LTV=（某个客户每个月的购买频次*客单价*毛利率）*（1/1-月留存率）— COC— CAC 98 | LTV是用户生命周期价值； 99 | COC是运营成本； 100 | CAC是拉新成本； 101 | 102 | 用户生命周期=1/（1— 留存率） 103 | ``` 104 | 105 | ### 投资回报率 106 | 107 | ``` 108 | 投资回报率（ROI）=转化率*每个用户平均收入（ARPU）/（CAC+COC） 109 | ROI=销售金额/投入金额 110 | 销售金额=UV*转化率*ARPU 111 | 投入金额= UV*[单个用户获取成本（CAC）+单个用户运营成本（COC）] 112 | 代表产品为电商类、知识付费类、共享单车类等。 113 | ``` 114 | 115 | ### 小黄车为例 116 | 117 | ``` 118 | 其北极星指标为成功骑行次数 119 | 120 | 成功骑行次数 = app启动次数 x 每启动扫码开锁率 x 成功开锁率 x 成功结束率 121 | 成功骑行次数 = 每人每日行程次数 x 人数 122 | 毛收入 = 充值收入 – 投入成本 = （（每充值金额 – 欠费金额） x 充值次数） – （（每车成本 + 维护费用） x 车辆数量 ） 123 | ``` 124 | -------------------------------------------------------------------------------- /88~数据分析工具/Google Analytics/99~参考资料/一次看懂電商品牌必用 GA4 報表.md: -------------------------------------------------------------------------------- 1 | # 一次看懂電商品牌必用 GA4 報表 2 | 3 | # GA4 常用使用者與工作階段指標異動 4 | 5 | 其實 GA4 常用的指標，如「使用者」、「工作階段」等與 UA 相比沒有太大的差異，有些是名稱的調整，有些則是定義上的更新，因此編輯將這些常用指標異動與調整整理如下表： 6 | 7 | | 比較項目 | UA（舊版 GA） | GA4（新版 GA） | 8 | | -------------------------- | ------------------------------------------------ | ------------------------------------------------------------------------ | 9 | | 使用者名稱 | 使用者 | 活躍使用者 | 10 | | 使用者說明 | 所有進站的訪客 | 與你網站或應用程式互動了一段時間（無論長短）的不重複使用者的人數 | 11 | | 工作階段計算 | 一個工作階段代表一個訪客在網站內所造成的一組互動 | 網站或應用程式觸發 session_start（事件）的數量 | 12 | | 工作階段重置情形 | — 閒置 30 分鐘後— 時間到了午夜時— 廣告活動變更 | — 閒置 30 分鐘後— 時間到了午夜時 | 13 | | 判斷流量品質的工作階段名稱 | 跳出的工作階段 | 互動的工作階段 | 14 | | 流量品質的工作階段計算方式 | 只看了 1 頁（只產生 1 個點擊）的工作階段 | — 持續超過 10 秒— 曾發生至少 1 次轉換事件— 至少 2 次網頁瀏覽的工作階段數 | 15 | | 流量品質指標 | 跳出率（有跳出的工作階段 / 所有工作階段數） | 參與度（跳出率＝ 1-參與度）互動工作階段數 / 工作階段數 | 16 | 17 | 由上圖表可看到，GA4 相較 UA 在資料定義上，更加強看重在網站上或應用程式中是否有進一步的互動行為。在 GA4 上，過往一些常見的指標，相較 UA 都變得更加嚴格，並看重其在網站或應用程式上的互動行為，例如：過去在 UA 上，只要追蹤到進站就會計算為 1 個使用者，但在新版 GA4 上，進站後還「必須與網站或應用程式有互動」，才會計算為 1 個不重複的使用者。所以若你同時觀察 UA 及 GA4 的數據，應該會發現使用者的數據相對減少了。 18 | 19 | # GA4 常用指標介紹說明 20 | 21 | 首先透過「指標」我們可以了解消費者在我們網站或應用程式所帶來的價值，這邊簡單依據查看指標的意義分為「當下」及「長期經營」的指標來為大家介紹： 22 | 23 | ## 一、當下的價值 24 | 25 | ![GA4 觀察較短時間點價值的指標](https://ngte-superbed.oss-cn-beijing.aliyuncs.com/item/20230302200224.png) 26 | 27 | 由（圖一）指標顯示，主要可查看到消費者當下所帶來的價值，例如：消費者在特定網頁完成某個事件的次數，通常是作為觀察一個「較短時間點」下所帶來的價值。 28 | 29 | ## 二、長期的經營價值 30 | 31 | ![GA4 觀察較長時間點價值的指標](https://ngte-superbed.oss-cn-beijing.aliyuncs.com/item/20230302200303.png) 32 | 33 | 由（上圖）指標顯示，主要是用來查看消費者長期所貢獻的價值，例如：查看近期回訪者數量、近期每位使用者的平均購買收益…等，適用於查看一個「較長時間區段」的價值。 34 | 35 | # GA4 常用維度介紹說明 36 | 37 | 「維度」則是方便品牌觀察與了解消費者的特徵，例如：「他們從哪來？」、「在我們網站上做了什麼？」、「我們怎麼標記他們的？」 38 | 39 | ## 一、他們從哪裡來 40 | 41 | ![GA4 觀察消費者「從哪來」的維度](https://ngte-superbed.oss-cn-beijing.aliyuncs.com/item/20230302200357.png) 42 | 43 | 由（圖三）可觀察到消費者主要是從哪裡來的，例如：消費者來自哪個國家或城市、消費者是由哪個來源媒介導進站。 44 | 45 | ## 二、在我們網站上做了什麼 46 | 47 | ![GA4 觀察消費者「在我們網站上做了什麼」的維度](https://ngte-superbed.oss-cn-beijing.aliyuncs.com/item/20230302200436.png) 48 | 49 | ## 三、我們怎麼標記他們 50 | 51 | ![GA4 觀察「我們怎麼標記消費者」的維度](https://ngte-superbed.oss-cn-beijing.aliyuncs.com/item/20230302200525.png) 52 | 53 | 由上图可瞭解到我們是怎麼標記他們的，例如：該使用者是否有登入而被記錄到 User ID、該使用者首次造訪的日期或初次購買的日期…等。在了解完上述常用的指標跟維度後，相信各位都更加清楚當自己想要查看某些資料時，該如何選擇指標跟維度了。那接下來，就讓我們繼續跟大家分享一些電商品牌常使用到的報表吧！跟著我們一步一步進行設定，並可將設定好的報表做儲存，未來更方便定期做查找喔！ 54 | -------------------------------------------------------------------------------- /index.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | Awesome-MindMaps 7 | 8 | 9 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 34 | 38 | 40 | 45 | 46 |
47 | 64 | 97 | 119 | 120 | 121 | 122 | 123 | 124 | 125 | 126 | 127 | 128 | 129 | 130 | 131 | 132 | 133 | 134 | 135 | 146 | 147 | 148 | 149 | 158 | 159 | 160 | -------------------------------------------------------------------------------- /AAARR/99~参考资料/2023~The Ultimate List of Product Metrics.md: -------------------------------------------------------------------------------- 1 | # The Ultimate List of Product Metrics 2 | 3 | # Acquisition Metrics 4 | 5 | ## Bounce Rate 6 | 7 | The percentage of visitors who leave your website after viewing just one page. A high bounce rate may indicate issues with the landing page (e.g., messaging) or targeting. 8 | 9 | ## Conversion Rate 10 | 11 | The percentage of users who take a desired action, like signing up for a newsletter. 12 | 13 | ## Landing Page Conversion Rate 14 | 15 | The percentage of visitors who take a desired action on a specific landing page, like signing up or starting a trial, on a specific landing page. 16 | 17 | ## Cost of Customer Acquisition(CAC) 18 | 19 | The cost of acquiring a new customer through marketing and sales efforts. 20 | 21 | ## Channel Effectiveness 22 | 23 | The success of each acquisition channel in driving traffic, sign-ups, or purchases. 24 | 25 | ## Traffic Source Distribution 26 | 27 | The breakdown of incoming user traffic by different sources, such as organic search, referrals, or paid ads. 28 | 29 | # Activation Metrics 30 | 31 | ## Time to Value (TTV) 32 | 33 | The time it takes for a user to experience the core benefits of your product after starting to use it. A shorter TTV leads to higher user satisfaction, engagement, and retention. In a product-led growth, optimizing TTV is crucial to ensure users quickly understand the value your product delivers. 34 | 35 | ## Onboarding Completion Rate 36 | 37 | The percentage of users who complete the onboarding process successfully. 38 | 39 | ## User Activation Rate 40 | 41 | The percentage of users who successfully complete a certain milestone in your onboarding process. 42 | 43 | ## Trial-to-Paid Conversion Rate 44 | 45 | The percentage of trial users who convert into paying customers. 46 | 47 | ## First-time User Conversion Rate 48 | 49 | The percentage of first-time users who complete a desired action, such as creating an account or purchasing. This metric helps assess the effectiveness of the onboarding process. 50 | 51 | # Engagement Metrics 52 | 53 | ## Daily Active Users (DAU) 54 | 55 | The number of unique users who engage with the product daily. 56 | 57 | ## Monthly Active Users (MAU) 58 | 59 | The number of unique users who engage with the product monthly. 60 | 61 | ## Stickiness 62 | 63 | The ratio of daily active users (DAU) to monthly active users (MAU), which indicates how often users engage with the product. 64 | 65 | Stickiness = DAU / MAU 66 | 67 | ## User Satisfaction 68 | 69 | A measure of how satisfied users are with the product, often determined through surveys or in-app feedback (e.g., Pendo, Gainsight). 70 | 71 | ## Session Length 72 | 73 | The duration of a user's interaction with the product during a single session. 74 | 75 | ## Session Frequency 76 | 77 | The average number of sessions per user within a specific time frame. 78 | 79 | ## Feature Usage 80 | 81 | The frequency and depth of usage for specific product features. 82 | 83 | ## Customer Effort Score (CES) 84 | 85 | Measures the ease with which customers can interact with your product or service. It is often determined by asking users to rate the effort required to accomplish a task or resolve an issue on a scale from very low to very high effort. 86 | 87 | A lower CES indicates a more user-friendly product, which can lead to higher user satisfaction and loyalty. 88 | 89 | ## Task Success Rate 90 | 91 | The percentage of users who successfully complete a specific task or set of tasks within your product. This metric helps assess the usability and effectiveness of your product's features. 92 | 93 | ## User Feedback Score 94 | 95 | A quantitative measure of user satisfaction gathered through surveys, ratings, or reviews. 96 | 97 | There isn't a single standardized method or rating scale. This could be a numeric scale (e.g., 1 to 5 or 1 to 10), a star rating, or a qualitative scale (e.g., poor, average, excellent). 98 | 99 | # Retention Metrics 100 | 101 | ## Churn Rate 102 | 103 | The percentage of users who stop using the product within a specific time period, e.g., monthly. 104 | 105 | ## User Retention Rate 106 | 107 | The percentage of users who continue using the product after a specific time period. Often monthly. 108 | 109 | ## User Renewal Rate 110 | 111 | The percentage of users who renew their subscription or continue using the product after their initial contract period. 112 | 113 | ## Customer Lifetime 114 | 115 | The average time it takes for a user to stop using the product. 116 | 117 | Customer Lifetime = 1/Churn Rate 118 | 119 | ## Product Adoption Rate 120 | 121 | The percentage of users who adopt new features or functionality within a certain time frame after release. 122 | 123 | # Revenue Metrics 124 | 125 | ## Average Revenue Per Account(ARPA) 126 | 127 | The average revenue generated per account (customer) within a specific time frame. For example, monthly. 128 | 129 | ## Customer Lifetime Value (CLV/LTV) 130 | 131 | The total revenue a user generates during their entire relationship with the product. 132 | 133 | `CLV = Customer Lifetime * ARPA` 134 | 135 | ## Customer Profitability 136 | 137 | The difference between the lifetime value of a customer (LTV) and the cost of acquiring them (CAC). 138 | 139 | ## Monthly Recurring Revenue (MRR) 140 | 141 | The predictable revenue generated by a subscription-based product on a monthly basis. 142 | 143 | ## Expansion Revenue 144 | 145 | Additional revenue generated from existing customers, through upsells, cross sells, or add-on purchases. 146 | 147 | ## Revenue Churn 148 | 149 | The amount of revenue lost due to customer cancellations, downgrades, or non-renewals within a specific time period. 150 | 151 | ## Average Contract Value (ACV) 152 | 153 | The average revenue generated from each customer contract, which can help assess the effectiveness of pricing and packaging strategies. 154 | 155 | # Referral Metrics 156 | 157 | ## Virality Coefficient 158 | 159 | The number of new users acquired through referrals by existing users. Often expressed as a ratio. 160 | 161 | ## Customer Referral Rate 162 | 163 | The percentage of customers who refer others to the product. 164 | 165 | ## Referral Conversion Rate 166 | 167 | The percentage of referrals that convert into active users. 168 | 169 | ## Net Promoter Score (NPS) 170 | 171 | A measure of customer satisfaction and loyalty based on how likely users are to recommend the product to others. 172 | 173 | NPS = % of Promoters - % of Detractors 174 | 175 | Warning: NPS measures customer attitude and sentiment, not the actual behavior. 176 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International 2 | Public License 3 | 4 | By exercising the Licensed Rights (defined below), You accept and agree 5 | to be bound by the terms and conditions of this Creative Commons 6 | Attribution-NonCommercial-ShareAlike 4.0 International Public License 7 | ("Public License"). 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For purposes of this Public License, the rights 40 | specified in Section 2(b)(1)-(2) are not Copyright and Similar 41 | Rights. 42 | 43 | e. Effective Technological Measures means those measures that, in the 44 | absence of proper authority, may not be circumvented under laws 45 | fulfilling obligations under Article 11 of the WIPO Copyright 46 | Treaty adopted on December 20, 1996, and/or similar international 47 | agreements. 48 | 49 | f. Exceptions and Limitations means fair use, fair dealing, and/or 50 | any other exception or limitation to Copyright and Similar Rights 51 | that applies to Your use of the Licensed Material. 52 | 53 | g. License Elements means the license attributes listed in the name 54 | of a Creative Commons Public License. The License Elements of this 55 | Public License are Attribution, NonCommercial, and ShareAlike. 56 | 57 | h. 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Share means to provide material to the public by any means or 78 | process that requires permission under the Licensed Rights, such 79 | as reproduction, public display, public performance, distribution, 80 | dissemination, communication, or importation, and to make material 81 | available to the public including in ways that members of the 82 | public may access the material from a place and at a time 83 | individually chosen by them. 84 | 85 | m. Sui Generis Database Rights means rights other than copyright 86 | resulting from Directive 96/9/EC of the European Parliament and of 87 | the Council of 11 March 1996 on the legal protection of databases, 88 | as amended and/or succeeded, as well as other essentially 89 | equivalent rights anywhere in the world. 90 | 91 | n. You means the individual or entity exercising the Licensed Rights 92 | under this Public License. Your has a corresponding meaning. 93 | 94 | 95 | Section 2 -- Scope. 96 | 97 | a. License grant. 98 | 99 | 1. Subject to the terms and conditions of this Public License, 100 | the Licensor hereby grants You a worldwide, royalty-free, 101 | non-sublicensable, non-exclusive, irrevocable license to 102 | exercise the Licensed Rights in the Licensed Material to: 103 | 104 | a. reproduce and Share the Licensed Material, in whole or 105 | in part, for NonCommercial purposes only; and 106 | 107 | b. produce, reproduce, and Share Adapted Material for 108 | NonCommercial purposes only. 109 | 110 | 2. Exceptions and Limitations. For the avoidance of doubt, where 111 | Exceptions and Limitations apply to Your use, this Public 112 | License does not apply, and You do not need to comply with 113 | its terms and conditions. 114 | 115 | 3. Term. The term of this Public License is specified in Section 116 | 6(a). 117 | 118 | 4. Media and formats; technical modifications allowed. The 119 | Licensor authorizes You to exercise the Licensed Rights in 120 | all media and formats whether now known or hereafter created, 121 | and to make technical modifications necessary to do so. The 122 | Licensor waives and/or agrees not to assert any right or 123 | authority to forbid You from making technical modifications 124 | necessary to exercise the Licensed Rights, including 125 | technical modifications necessary to circumvent Effective 126 | Technological Measures. For purposes of this Public License, 127 | simply making modifications authorized by this Section 2(a) 128 | (4) never produces Adapted Material. 129 | 130 | 5. Downstream recipients. 131 | 132 | a. Offer from the Licensor -- Licensed Material. Every 133 | recipient of the Licensed Material automatically 134 | receives an offer from the Licensor to exercise the 135 | Licensed Rights under the terms and conditions of this 136 | Public License. 137 | 138 | b. Additional offer from the Licensor -- Adapted Material. 139 | Every recipient of Adapted Material from You 140 | automatically receives an offer from the Licensor to 141 | exercise the Licensed Rights in the Adapted Material 142 | under the conditions of the Adapter's License You apply. 143 | 144 | c. No downstream restrictions. You may not offer or impose 145 | any additional or different terms or conditions on, or 146 | apply any Effective Technological Measures to, the 147 | Licensed Material if doing so restricts exercise of the 148 | Licensed Rights by any recipient of the Licensed 149 | Material. 150 | 151 | 6. No endorsement. Nothing in this Public License constitutes or 152 | may be construed as permission to assert or imply that You 153 | are, or that Your use of the Licensed Material is, connected 154 | with, or sponsored, endorsed, or granted official status by, 155 | the Licensor or others designated to receive attribution as 156 | provided in Section 3(a)(1)(A)(i). 157 | 158 | b. Other rights. 159 | 160 | 1. Moral rights, such as the right of integrity, are not 161 | licensed under this Public License, nor are publicity, 162 | privacy, and/or other similar personality rights; however, to 163 | the extent possible, the Licensor waives and/or agrees not to 164 | assert any such rights held by the Licensor to the limited 165 | extent necessary to allow You to exercise the Licensed 166 | Rights, but not otherwise. 167 | 168 | 2. Patent and trademark rights are not licensed under this 169 | Public License. 170 | 171 | 3. To the extent possible, the Licensor waives any right to 172 | collect royalties from You for the exercise of the Licensed 173 | Rights, whether directly or through a collecting society 174 | under any voluntary or waivable statutory or compulsory 175 | licensing scheme. In all other cases the Licensor expressly 176 | reserves any right to collect such royalties, including when 177 | the Licensed Material is used other than for NonCommercial 178 | purposes. 179 | 180 | 181 | Section 3 -- License Conditions. 182 | 183 | Your exercise of the Licensed Rights is expressly made subject to the 184 | following conditions. 185 | 186 | a. Attribution. 187 | 188 | 1. If You Share the Licensed Material (including in modified 189 | form), You must: 190 | 191 | a. retain the following if it is supplied by the Licensor 192 | with the Licensed Material: 193 | 194 | i. identification of the creator(s) of the Licensed 195 | Material and any others designated to receive 196 | attribution, in any reasonable manner requested by 197 | the Licensor (including by pseudonym if 198 | designated); 199 | 200 | ii. a copyright notice; 201 | 202 | iii. a notice that refers to this Public License; 203 | 204 | iv. a notice that refers to the disclaimer of 205 | warranties; 206 | 207 | v. a URI or hyperlink to the Licensed Material to the 208 | extent reasonably practicable; 209 | 210 | b. indicate if You modified the Licensed Material and 211 | retain an indication of any previous modifications; and 212 | 213 | c. indicate the Licensed Material is licensed under this 214 | Public License, and include the text of, or the URI or 215 | hyperlink to, this Public License. 216 | 217 | 2. You may satisfy the conditions in Section 3(a)(1) in any 218 | reasonable manner based on the medium, means, and context in 219 | which You Share the Licensed Material. For example, it may be 220 | reasonable to satisfy the conditions by providing a URI or 221 | hyperlink to a resource that includes the required 222 | information. 223 | 3. If requested by the Licensor, You must remove any of the 224 | information required by Section 3(a)(1)(A) to the extent 225 | reasonably practicable. 226 | 227 | b. ShareAlike. 228 | 229 | In addition to the conditions in Section 3(a), if You Share 230 | Adapted Material You produce, the following conditions also apply. 231 | 232 | 1. The Adapter's License You apply must be a Creative Commons 233 | license with the same License Elements, this version or 234 | later, or a BY-NC-SA Compatible License. 235 | 236 | 2. You must include the text of, or the URI or hyperlink to, the 237 | Adapter's License You apply. You may satisfy this condition 238 | in any reasonable manner based on the medium, means, and 239 | context in which You Share Adapted Material. 240 | 241 | 3. You may not offer or impose any additional or different terms 242 | or conditions on, or apply any Effective Technological 243 | Measures to, Adapted Material that restrict exercise of the 244 | rights granted under the Adapter's License You apply. 245 | 246 | 247 | Section 4 -- Sui Generis Database Rights. 248 | 249 | Where the Licensed Rights include Sui Generis Database Rights that 250 | apply to Your use of the Licensed Material: 251 | 252 | a. for the avoidance of doubt, Section 2(a)(1) grants You the right 253 | to extract, reuse, reproduce, and Share all or a substantial 254 | portion of the contents of the database for NonCommercial purposes 255 | only; 256 | 257 | b. if You include all or a substantial portion of the database 258 | contents in a database in which You have Sui Generis Database 259 | Rights, then the database in which You have Sui Generis Database 260 | Rights (but not its individual contents) is Adapted Material, 261 | including for purposes of Section 3(b); and 262 | 263 | c. You must comply with the conditions in Section 3(a) if You Share 264 | all or a substantial portion of the contents of the database. 265 | 266 | For the avoidance of doubt, this Section 4 supplements and does not 267 | replace Your obligations under this Public License where the Licensed 268 | Rights include other Copyright and Similar Rights. 269 | 270 | 271 | Section 5 -- Disclaimer of Warranties and Limitation of Liability. 272 | 273 | a. UNLESS OTHERWISE SEPARATELY UNDERTAKEN BY THE LICENSOR, TO THE 274 | EXTENT POSSIBLE, THE LICENSOR OFFERS THE LICENSED MATERIAL AS-IS 275 | AND AS-AVAILABLE, AND MAKES NO REPRESENTATIONS OR WARRANTIES OF 276 | ANY KIND CONCERNING THE LICENSED MATERIAL, WHETHER EXPRESS, 277 | IMPLIED, STATUTORY, OR OTHER. THIS INCLUDES, WITHOUT LIMITATION, 278 | WARRANTIES OF TITLE, MERCHANTABILITY, FITNESS FOR A PARTICULAR 279 | PURPOSE, NON-INFRINGEMENT, ABSENCE OF LATENT OR OTHER DEFECTS, 280 | ACCURACY, OR THE PRESENCE OR ABSENCE OF ERRORS, WHETHER OR NOT 281 | KNOWN OR DISCOVERABLE. WHERE DISCLAIMERS OF WARRANTIES ARE NOT 282 | ALLOWED IN FULL OR IN PART, THIS DISCLAIMER MAY NOT APPLY TO YOU. 283 | 284 | b. TO THE EXTENT POSSIBLE, IN NO EVENT WILL THE LICENSOR BE LIABLE 285 | TO YOU ON ANY LEGAL THEORY (INCLUDING, WITHOUT LIMITATION, 286 | NEGLIGENCE) OR OTHERWISE FOR ANY DIRECT, SPECIAL, INDIRECT, 287 | INCIDENTAL, CONSEQUENTIAL, PUNITIVE, EXEMPLARY, OR OTHER LOSSES, 288 | COSTS, EXPENSES, OR DAMAGES ARISING OUT OF THIS PUBLIC LICENSE OR 289 | USE OF THE LICENSED MATERIAL, EVEN IF THE LICENSOR HAS BEEN 290 | ADVISED OF THE POSSIBILITY OF SUCH LOSSES, COSTS, EXPENSES, OR 291 | DAMAGES. WHERE A LIMITATION OF LIABILITY IS NOT ALLOWED IN FULL OR 292 | IN PART, THIS LIMITATION MAY NOT APPLY TO YOU. 293 | 294 | c. The disclaimer of warranties and limitation of liability provided 295 | above shall be interpreted in a manner that, to the extent 296 | possible, most closely approximates an absolute disclaimer and 297 | waiver of all liability. 298 | 299 | 300 | Section 6 -- Term and Termination. 301 | 302 | a. This Public License applies for the term of the Copyright and 303 | Similar Rights licensed here. However, if You fail to comply with 304 | this Public License, then Your rights under this Public License 305 | terminate automatically. 306 | 307 | b. Where Your right to use the Licensed Material has terminated under 308 | Section 6(a), it reinstates: 309 | 310 | 1. automatically as of the date the violation is cured, provided 311 | it is cured within 30 days of Your discovery of the 312 | violation; or 313 | 314 | 2. upon express reinstatement by the Licensor. 315 | 316 | For the avoidance of doubt, this Section 6(b) does not affect any 317 | right the Licensor may have to seek remedies for Your violations 318 | of this Public License. 319 | 320 | c. For the avoidance of doubt, the Licensor may also offer the 321 | Licensed Material under separate terms or conditions or stop 322 | distributing the Licensed Material at any time; however, doing so 323 | will not terminate this Public License. 324 | 325 | d. Sections 1, 5, 6, 7, and 8 survive termination of this Public 326 | License. 327 | 328 | 329 | Section 7 -- Other Terms and Conditions. 330 | 331 | a. The Licensor shall not be bound by any additional or different 332 | terms or conditions communicated by You unless expressly agreed. 333 | 334 | b. Any arrangements, understandings, or agreements regarding the 335 | Licensed Material not stated herein are separate from and 336 | independent of the terms and conditions of this Public License. 337 | 338 | 339 | Section 8 -- Interpretation. 340 | 341 | a. For the avoidance of doubt, this Public License does not, and 342 | shall not be interpreted to, reduce, limit, restrict, or impose 343 | conditions on any use of the Licensed Material that could lawfully 344 | be made without permission under this Public License. 345 | 346 | b. To the extent possible, if any provision of this Public License is 347 | deemed unenforceable, it shall be automatically reformed to the 348 | minimum extent necessary to make it enforceable. If the provision 349 | cannot be reformed, it shall be severed from this Public License 350 | without affecting the enforceability of the remaining terms and 351 | conditions. 352 | 353 | c. No term or condition of this Public License will be waived and no 354 | failure to comply consented to unless expressly agreed to by the 355 | Licensor. 356 | 357 | d. Nothing in this Public License constitutes or may be interpreted 358 | as a limitation upon, or waiver of, any privileges and immunities 359 | that apply to the Licensor or You, including from the legal 360 | processes of any jurisdiction or authority. 361 | --------------------------------------------------------------------------------