Auto-sync: 2026-04-21 08:02
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38
wiki/concepts/2D-First-Spatial-Second.md
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wiki/concepts/2D-First-Spatial-Second.md
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---
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title: "2D-First Spatial-Second"
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type: concept
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tags: [product-strategy, spatial-computing, ux]
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date: 2026-03-05
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---
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## Definition
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2D 优先、空间其次是一种产品策略,先构建优秀的 2D web dashboard,再渐进式添加空间能力。
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## Rationale
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1. **分发覆盖**:WebXR 浏览器覆盖远超 VisionOS
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2. **市场验证**:Vision Pro 装机量不足以支撑独立业务
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3. **产品成熟度**:先确保核心 2D 产品价值成立
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4. **风险缓解**:避免"spatial solution in search of a problem"
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## Phase Implementation
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- **Phase 1 (Months 1-6)**:2D web dashboard + Three.js 2.5D
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- **Phase 2 (Months 6-12)**:可选 WebXR 空间模式
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- **Phase 3 (Months 12-18)**:Native VisionOS(仅在验证后)
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## Cross-Agent Consensus
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8 个专业 Agent 独立得出相同结论:
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- Product Trend Researcher:Vision Pro 数据不支持首发
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- Backend Architect:2D 先构建完整功能
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- Brand Guardian:接受"2D first, spatial in every demo"原则
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## Key Quote
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> "If 2D is clearer, use 2D. Every review should ask: 'Would this be better flat?'" — UX Researcher
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## Related Concepts
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- [[Progressive Disclosure]]:用户体验方法论
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- [[Spatial AI Operations]]:最终目标
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- [[WebXR]]:分发平台
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## Related Entities
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- [[Nexus Spatial]]:实施产品
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- [[Vision Pro]]:最终平台(验证后)
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25
wiki/concepts/90-10-Rule.md
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wiki/concepts/90-10-Rule.md
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---
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title: "90/10 Rule"
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type: concept
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tags: [reddit, marketing, community-building, engagement]
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sources: []
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last_updated: 2026-04-21
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---
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## Summary
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Reddit 社区营销的核心原则:90% 价值内容,10% promotional content。
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## Definition
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在 Reddit 社区参与中,90% 的内容应该是真正帮助社区成员的价值贡献,只有 10% 可以是与品牌推广相关的内容。
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## Key Claims
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- 90/10 法则确保社区信任建立
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- 价值优先原则避免被社区视为 spam
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- 长期关系建设比短期推广更有效
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## Related Concepts
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- [[Community Integration]]:通过持续价值贡献成为社区可信成员
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- [[Educational Content Leadership]]:通过教育内容建立思想领导力
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## Examples
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- [[Marketing Reddit Community Builder]] 遵循此原则实现authentic community engagement
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26
wiki/concepts/ACOS.md
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wiki/concepts/ACOS.md
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---
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title: ACOS (Advertising Cost of Sales)
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type: concept
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tags: [advertising, ecommerce, metrics, amazon, ppc]
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aliases: [TACOS, Total Advertising Cost of Sales]
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---
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## Definition
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广告成本销售比,衡量广告支出与产生的销售额之间的比率,是跨境电商最核心的广告效率指标。
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## Formula
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```
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ACOS = (广告支出 / 广告产生的销售额) × 100%
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TACOS = (广告支出 / 总销售额) × 100%
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```
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## Benchmark Values
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- 跨境电商目标:ACOS 20-25%
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- 成熟阶段目标:TACOS < 10%
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- 超出毛利率的广告活动必须优化或关闭
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## Usage Context
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Amazon PPC 广告优化中,ACOS 是核心 KPI。Launch 阶段可接受较高 ACOS 以获取数据,Growth 阶段控制在 25% 以下,Mature 阶段追求低 ACOS 高利润。
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## Connections
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- [[Marketing Cross-Border E-Commerce Specialist]] ← uses ← [[ACOS (Advertising Cost of Sales)]] ← measures
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wiki/concepts/AI辅助剪辑.md
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wiki/concepts/AI辅助剪辑.md
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---
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title: "AI辅助剪辑"
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type: concept
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tags: [ai, video-editing, automation]
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aliases: [AI-Assisted Editing, AI Video Editing]
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last_updated: 2026-04-21
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---
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## Definition
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利用人工智能技术加速短视频制作各环节的技术,包括 AI 自动字幕、AI 智能抠像、AI 生成视频、AI 音乐生成和数字人配音。
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## Core AI Capabilities
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### AI Auto-Subtitles(AI 自动字幕)
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- **CapCut AI 字幕**:95%+ 准确率,支持中英日韩等多语言;一键生成
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- **OpenAI Whisper**:开源、离线可用、支持 99 种语言、极高准确率
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- **ByteDance 火山引擎 ASR**:企业 API,适合批量处理
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- **AI 字幕工作流**:AI 初稿 → 手动 review(专注术语、人名、同音字)→ 时间线调整 → 样式应用
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- **重要提醒**:AI 字幕并非 100% 准确——术语、方言、重叠说话人需要手动 review
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### AI One-Click Video Generation(AI 一键成片)
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- CapCut "文字生视频":输入文字自动匹配库存 footage、旁白、字幕和 BGM
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- CapCut "AI 脚本":输入主题自动生成脚本 + 分镜建议
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- **用途**:新闻风格 / 对话口播 / 图文视频的快速初稿
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- **局限性**:AI 生成视频"能看但没灵魂"——处理 60% 工作,剩下 40% 创意细化仍需人工
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### AI Smart Cutout(AI 智能抠像)
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- CapCut AI 抠像:实时人物分割,无需绿幕;效果已相当好
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- **Runway ML**:专业 AI 抠像和视频生成工具
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- **用途**:背景替换、画中画、绿幕替代
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- **边缘质量**:头发、半透明物体(玻璃/烟雾)仍是 AI 挑战;关键时需手动修补
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### AI Music Generation(AI 音乐生成)
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- **Suno AI / Udio**:输入文字描述生成原创音乐;可指定风格、情绪和时长
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- **用途**:找不到合适 BGM 时快速生成定制音乐;避免版权问题
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- **版权注意**:确认 AI 生成音乐的商业授权条款;各平台政策不同
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- **质量评估**:简单配器足够;复杂编曲和人声表演仍不及人类创作
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### Digital Avatar Narration(数字人配音)
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- 工具:CapCut 数字人、HeyGen、D-ID、腾讯智影
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- **用途**:批量生产教育/新闻内容;无法真人出镜时的替代方案
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- **现状**:唇形同步和面部表情已相当自然,但"明显是数字人"的感觉仍在
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- **使用建议**:作为真人出镜的补充而非替代——观众对真人的信任度远高于数字人
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## Efficiency Impact
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- AI 字幕:节省 80% 字幕制作时间
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- AI 抠像:无需绿幕,简化拍摄流程
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- AI 成片:处理 60% 重复性工作
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## Connections
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- [[短视频剪辑]] ← 技术增强 ← [[AI辅助剪辑]]
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- [[字幕设计]] ← 技术加速 ← [[AI辅助剪辑]]
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- [[CapCut Pro]] ← 内置 AI 功能 ← [[AI辅助剪辑]]
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wiki/concepts/Analytics-Feedback-Loop.md
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wiki/concepts/Analytics-Feedback-Loop.md
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---
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title: "Analytics Feedback Loop"
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type: concept
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tags: [marketing, data-analysis, optimization, ai-agent]
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sources: [marketing-carousel-growth-engine]
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last_updated: 2026-04-21
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---
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## Definition
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数据驱动的持续优化循环,通过收集、分析和应用性能数据不断提升内容效果。
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## Cycle Process
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1. **Fetch**:获取分析数据(Upload-Post API)
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2. **Extract**:提取洞察(表现最佳的 hook、发布时间、视觉风格)
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3. **Update**:更新 learnings.json 知识库
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4. **Plan**:规划下一个轮播内容
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## Tracked Metrics
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- Hook 性能:问题型 vs 声明型 vs 痛点型
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- 发布时机:最佳日期/小时
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- 视觉风格:相关 slide prompts 与 engagement 关联
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- 参与率:likes + comments + shares / views
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## Storage
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- `/tmp/carousel/learnings.json`
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- 滚动 100 期历史记录
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## Aliases
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- 分析反馈循环
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- 数据驱动优化
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wiki/concepts/Autonomous-QA.md
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wiki/concepts/Autonomous-QA.md
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---
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title: "Autonomous QA"
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type: concept
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tags: [ai, quality-assurance, vision, automation]
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sources: [marketing-carousel-growth-engine]
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last_updated: 2026-04-21
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---
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## Definition
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自主质量保证系统,通过视觉模型验证每张生成的幻灯片,仅重生成不合格的幻灯片。
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## Verification Criteria
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- 文字可读性
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- 拼写准确性
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- 视觉质量
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- 底部 20% 无文字覆盖
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## Process
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1. Agent 使用视觉模型检查每张幻灯片
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2. 任何失败仅重生成该幻灯片(保留 slide-1.jpg 作为参考)
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3. 重新验证直到全部通过
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4. 零人工干预
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## Technical Stack
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- Vision Model:Agent 内置视觉能力
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- Gemini:仅重生成失败幻灯片
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## Aliases
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- 自主质量保证
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- Vision-Based Verification
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wiki/concepts/B2B-Social-Selling.md
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wiki/concepts/B2B-Social-Selling.md
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---
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title: "B2B Social Selling"
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type: concept
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tags: [marketing, sales, b2b]
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---
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## Definition
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面向企业客户的社交销售策略,通过 LinkedIn 等专业平台建立关系、培育潜在客户并推动销售漏斗转化。
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## Core Tactics
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- **LinkedIn Mastery**: 公司页面、个人品牌、文章、新闻通讯、广告
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- **Professional Networking**: 行业群组参与、合作伙伴开发、B2B 社区建设
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- **Social Selling Playbook**: 销售团队社交内容策略和参与指南
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## Performance Targets
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- LinkedIn 公司页面参与率 3%+
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- 50%+ 帖子达到平台基准
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- 可衡量的渠道贡献线索
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## Related Concepts
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- [[Thought Leadership]]
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- [[Cross-Platform Strategy]]
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## Source
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- [[Social Media Strategist]]
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wiki/concepts/Carousel-Narrative-Arc.md
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wiki/concepts/Carousel-Narrative-Arc.md
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---
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title: "Carousel Narrative Arc"
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type: concept
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tags: [marketing, content-strategy, social-media, tiktok, instagram]
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sources: [marketing-carousel-growth-engine]
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last_updated: 2026-04-21
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---
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## Definition
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6-slide 标准叙事结构,用于 TikTok/Instagram 轮播内容,确保内容转化率最大化。
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## Structure
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1. **Hook**:停止滚动 — 使用问题、大胆声明或共鸣痛点
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2. **Problem**:问题域 — 识别目标受众核心痛点
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3. **Agitation**:激化 — 强化问题严重性,可引用竞争对手
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4. **Solution**:解决方案 — 提供产品/服务作为答案
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5. **Feature**:特性 — 展示具体功能/优势/数据
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6. **CTA**:行动号召 — 引导下一步操作
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## Key Principles
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- 视觉一致性:Slide 1 建立所有视觉风格,Slides 2-6 通过 Gemini image-to-image 保持一致
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- 9:16 竖屏格式:768x1376 分辨率,移动端优先
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- 底部 20% 无文字:TikTok 控件覆盖区域
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## Aliases
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- 轮播叙事结构
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- 6-slide Narrative Arc
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wiki/concepts/Community-Integration.md
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wiki/concepts/Community-Integration.md
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---
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title: "Community Integration"
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type: concept
|
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tags: [reddit, marketing, community-building, engagement]
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sources: []
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last_updated: 2026-04-21
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---
|
||||
|
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## Summary
|
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通过持续的有价值参与成为 Reddit 社区可信成员的过程。
|
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|
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## Definition
|
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成为 subreddit 社区可信成员的战略方法,包括学习社区规则、文化、时机,并与版主建立良好关系。
|
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|
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## Key Phases
|
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1. Subreddit Analysis:识别主要、次要、本地和细分社区
|
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2. Guidelines Mastery:掌握规则、文化、时机和版主关系
|
||||
3. Participation Strategy:开始无推广意图的真实参与
|
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4. Value Assessment:识别社区痛点和知识差距
|
||||
|
||||
## Related Concepts
|
||||
- [[90/10 Rule]]:社区参与的内容比例原则
|
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- [[Educational Content Leadership]]:通过教育内容建立影响力
|
||||
|
||||
## Related Agents
|
||||
- [[Marketing Reddit Community Builder]]:实现社区整合的专业智能体
|
||||
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wiki/concepts/Compliance-Certification.md
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wiki/concepts/Compliance-Certification.md
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---
|
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title: Compliance & Certification
|
||||
type: concept
|
||||
tags: [compliance, certification, cross-border, product-safety]
|
||||
aliases: [产品合规认证, CE, FCC, FDA, PSE, WEEE, EPR]
|
||||
---
|
||||
|
||||
## Definition
|
||||
跨境电商产品合规认证和法规遵循,是进入目标市场的必要条件。
|
||||
|
||||
## Key Certifications
|
||||
|
||||
### US Market
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||||
- FCC:电子产品认证
|
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- FDA:食品、化妆品、医疗器械
|
||||
- CPC:儿童产品安全证书
|
||||
|
||||
### EU Market
|
||||
- CE:电子产品安全认证(强制性)
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||||
- WEEE:电子废物回收指令
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- EPR:包装法(德国 VerpackG)
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||||
|
||||
### UK Market
|
||||
- UKCA:英国符合性评估
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||||
- UK VAT:增值税注册
|
||||
|
||||
### Japan Market
|
||||
- PSE:电气产品安全认证
|
||||
- 进口关税和消费税
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||||
|
||||
## Intellectual Property
|
||||
- 商标注册:Madrid 马德里体系
|
||||
- 专利检索和设计规避
|
||||
- 版权保护和平台投诉响应
|
||||
- 反跟卖策略
|
||||
|
||||
## Compliance Red Lines
|
||||
- 无认证不上架:CE/FCC/FDA 是强制要求,违规导致下架+罚款
|
||||
- VAT 必须如实申报
|
||||
- 零容忍 IP 侵权:假货、跟卖、品牌元素未经授权
|
||||
|
||||
## Connections
|
||||
- [[Legal Compliance Checker]] ← validates ← [[Compliance & Certification]]
|
||||
- [[Marketing Cross-Border E-Commerce Specialist]] ← requires ← [[Compliance & Certification]]
|
||||
26
wiki/concepts/Content-Cascade.md
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wiki/concepts/Content-Cascade.md
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---
|
||||
title: "Content Cascade"
|
||||
type: concept
|
||||
tags: [marketing, content, strategy]
|
||||
---
|
||||
|
||||
## Definition
|
||||
内容瀑布流策略,主内容在 LinkedIn 首发后适配到 Twitter 等其他平台,实现一次创作多次分发。
|
||||
|
||||
## Cascade Mechanism
|
||||
- Primary Content: LinkedIn 首发生成完整深度内容
|
||||
- Platform Adaptation: 转化为各平台原生格式
|
||||
- Real-Time Amplification: 跨平台推广时效性内容
|
||||
- Engagement Loops: 推动跨平台关注和社区重叠
|
||||
|
||||
## Implementation
|
||||
- LinkedIn: 长篇文章、公司页面更新、新闻通讯
|
||||
- Twitter: 适配洞察、实时评论、标签策略
|
||||
- Attribution: 追踪跨平台用户旅程
|
||||
|
||||
## Related Concepts
|
||||
- [[Cross-Platform Strategy]]
|
||||
- [[Thought Leadership]]
|
||||
|
||||
## Source
|
||||
- [[Social Media Strategist]]
|
||||
36
wiki/concepts/Cross-Border-Logistics.md
Normal file
36
wiki/concepts/Cross-Border-Logistics.md
Normal file
@@ -0,0 +1,36 @@
|
||||
---
|
||||
title: Cross-Border Logistics
|
||||
type: concept
|
||||
tags: [logistics, supply-chain, cross-border, ecommerce]
|
||||
aliases: [跨境物流, International Logistics, Overseas Warehousing]
|
||||
---
|
||||
|
||||
## Definition
|
||||
跨境物流全链路,涵盖头程运输、海外仓储、尾程配送三大环节。
|
||||
|
||||
## Three Segments
|
||||
|
||||
### First-Mile Logistics(头程)
|
||||
- FCL(Full Container Load):整柜海运
|
||||
- LCL(Less-than-Container Load):拼箱海运
|
||||
- Air Freight / Air Express:空运/空快递
|
||||
- China-Europe Railway Express:中欧班列
|
||||
- 报关清关程序
|
||||
|
||||
### International Warehousing(海外仓储)
|
||||
- FBA(Fulfillment by Amazon):亚马逊自营仓
|
||||
- Third-party Overseas Warehouse:第三方海外仓
|
||||
- Dropshipping:代发模式
|
||||
- Return Relabeling:退件重新标签
|
||||
|
||||
### Last-Mile Delivery(尾程)
|
||||
- 各国最后一公里配送特点
|
||||
- 配送成功率提升
|
||||
- 签收异常处理
|
||||
|
||||
## Logistics Cost Modeling
|
||||
端到端成本计算:头程 + 仓储费 + 尾程配送,纳入产品定价模型。
|
||||
|
||||
## Connections
|
||||
- [[Supply Chain Strategist]] ← supports ← [[Cross-Border Logistics]]
|
||||
- [[Marketing Cross-Border E-Commerce Specialist]] ← plans ← [[Cross-Border Logistics]]
|
||||
27
wiki/concepts/Cross-Platform-Strategy.md
Normal file
27
wiki/concepts/Cross-Platform-Strategy.md
Normal file
@@ -0,0 +1,27 @@
|
||||
---
|
||||
title: "Cross-Platform Strategy"
|
||||
type: concept
|
||||
tags: [marketing, social-media, strategy]
|
||||
---
|
||||
|
||||
## Definition
|
||||
跨平台统一消息传递和内容适配策略,通过在 LinkedIn、Twitter 和专业社交网络之间协调一致的品牌声音,实现最大化的受众覆盖和参与度。
|
||||
|
||||
## Core Components
|
||||
- **Unified Messaging**: 核心主题适配每个平台优势
|
||||
- **Content Cascade**: 主内容在 LinkedIn 首发后适配到其他平台
|
||||
- **Engagement Loops**: 推动跨平台关注和社区重叠
|
||||
- **Attribution**: 追踪跨平台用户旅程以测量转化路径
|
||||
|
||||
## Platform-Specific Tactics
|
||||
- LinkedIn: 公司页面、个人品牌、文章、新闻通讯
|
||||
- Twitter: 实时放大、标签策略、协同声音
|
||||
- Cross-Platform: 统一主题、平台适配、受众重叠
|
||||
|
||||
## Related Concepts
|
||||
- [[Thought Leadership]]
|
||||
- [[B2B Social Selling]]
|
||||
- [[Employee Advocacy]]
|
||||
|
||||
## Source
|
||||
- [[Social Media Strategist]]
|
||||
25
wiki/concepts/Employee-Advocacy.md
Normal file
25
wiki/concepts/Employee-Advocacy.md
Normal file
@@ -0,0 +1,25 @@
|
||||
---
|
||||
title: "Employee Advocacy"
|
||||
type: concept
|
||||
tags: [marketing, brand, employee]
|
||||
---
|
||||
|
||||
## Definition
|
||||
员工品牌倡导计划设计与大使激活机制,通过授权员工在个人社交网络中分享品牌内容来放大品牌影响力。
|
||||
|
||||
## Program Components
|
||||
- **Ambassador Activation**: 激活员工成为品牌代言人
|
||||
- **Content Sharing**: 为员工提供可分享的品牌内容
|
||||
- **Participation Tracking**: 监控员工参与率和覆盖面
|
||||
|
||||
## Success Metrics
|
||||
- 30%+ 员工参与率目标
|
||||
- 品牌提及量增加
|
||||
- 社交广告投资回报率 3x+
|
||||
|
||||
## Related Concepts
|
||||
- [[Cross-Platform Strategy]]
|
||||
- [[Thought Leadership]]
|
||||
|
||||
## Source
|
||||
- [[Social Media Strategist]]
|
||||
29
wiki/concepts/FBA.md
Normal file
29
wiki/concepts/FBA.md
Normal file
@@ -0,0 +1,29 @@
|
||||
---
|
||||
title: FBA (Fulfillment by Amazon)
|
||||
type: concept
|
||||
tags: [logistics, amazon, ecommerce, cross-border]
|
||||
aliases: [Fulfillment by Amazon, FBM, Merchant-Fulfilled]
|
||||
---
|
||||
|
||||
## Definition
|
||||
亚马逊自营物流服务,卖家将商品发送至亚马逊仓库,亚马逊负责存储、拣货、包装、配送、客服和退换货。
|
||||
|
||||
## Key Features
|
||||
- Prime 标识:享受亚马逊 Prime 会员两天达服务
|
||||
- Buy Box 优势:FBA 卖家更容易获得 Buy Box
|
||||
- 客户服务:亚马逊处理客户咨询和退换货
|
||||
- 库存管理:亚马逊跟踪库存并自动补货提醒
|
||||
|
||||
## Cost Components
|
||||
- 仓储费:月度仓储费 + 长期仓储费
|
||||
- 履约费:基于商品尺寸和重量
|
||||
- 头程费:卖家将商品运至亚马逊仓库
|
||||
- 退换货处理费
|
||||
|
||||
## Comparison with FBM
|
||||
- FBA:更快配送、更易获得 Buy Box、更高转化率,但成本更高
|
||||
- FBM:成本更低、控制更灵活,但配送慢、获取 Buy Box 难
|
||||
|
||||
## Connections
|
||||
- [[Marketing Cross-Border E-Commerce Specialist]] ← uses ← [[FBA (Fulfillment by Amazon)]]
|
||||
- [[Amazon]] ← provides ← [[FBA (Fulfillment by Amazon)]]
|
||||
25
wiki/concepts/ICP-备案.md
Normal file
25
wiki/concepts/ICP-备案.md
Normal file
@@ -0,0 +1,25 @@
|
||||
---
|
||||
title: "ICP 备案"
|
||||
type: concept
|
||||
tags: [china, compliance, regulations]
|
||||
last_updated: 2026-04-21
|
||||
---
|
||||
|
||||
## Definition
|
||||
ICP 备案(Internet Content Provider Registration)是中国大陆互联网监管要求,所有在中国大陆提供互联网信息服务的网站必须向工业和信息化部(MIIT)提交申请并获得备案号。备案号通常以字母+数字格式呈现,如 `京ICP备XXXXXXX号`。
|
||||
|
||||
## Key Claims
|
||||
- 无有效 ICP 备案的网站将被百度严厉惩罚或排除在搜索结果外
|
||||
- ICP 备案是中国市场网站合法运营的先决条件
|
||||
- 备案流程通常需要 4-20 个工作日
|
||||
- 百度站长平台要求验证网站备案信息
|
||||
|
||||
## Relevance to Baidu SEO
|
||||
- ICP 备案是百度衡量网站可信度的重要信号之一
|
||||
- 备案信息与网站实际运营主体必须一致
|
||||
- 百度可能将无备案或备案信息异常的网站降权
|
||||
|
||||
## Related Concepts
|
||||
- [[百度生态系统]]
|
||||
- [[移动端优先索引]]
|
||||
- [[Baiduspider]]
|
||||
52
wiki/concepts/LUT.md
Normal file
52
wiki/concepts/LUT.md
Normal file
@@ -0,0 +1,52 @@
|
||||
---
|
||||
title: "LUT"
|
||||
type: concept
|
||||
tags: [lut, color-grading, video-editing]
|
||||
aliases: [Look-Up Table, 色彩查找表]
|
||||
last_updated: 2026-04-21
|
||||
---
|
||||
|
||||
## Definition
|
||||
Look-Up Table,色彩查找表,本质是预设的色彩映射,用于色彩空间转换和风格化调色。
|
||||
|
||||
## Types
|
||||
|
||||
### Technical LUT(技术 LUT)
|
||||
- **用途**:转换 LOG 素材到标准色彩空间
|
||||
- 示例:S-Log3 到 Rec.709、S-Log3 到 Log-C
|
||||
- **使用时机**:使用 LOG 模式拍摄后,必须先应用技术 LUT 还原正常色彩,再进行创意调色
|
||||
- **常见误区**:应用创意 LUT 前未做一级校色 → 色彩必然崩坏
|
||||
|
||||
### Creative LUT(创意 LUT)
|
||||
- **用途**:添加风格化外观
|
||||
- 类型:胶片 LUT、电影 LUT、时尚 LUT 等
|
||||
- **使用原则**:LUT 是起点而非终点——应用后必须微调参数
|
||||
- **强度控制**:建议 60%-80% 透明度;100% 通常过重
|
||||
|
||||
## Workflow
|
||||
|
||||
### Correct Application Order(正确应用顺序)
|
||||
1. **一级校色**(Primary Correction):还原真实——白平衡、曝光、对比度统一
|
||||
2. **技术 LUT**:LOG 素材应用转换 LUT
|
||||
3. **二级调色**(Secondary Correction):局部调整——HSL、曲线、遮罩
|
||||
4. **创意 LUT**(可选):风格化处理
|
||||
5. **微调**:在创意 LUT 基础上精细调整
|
||||
|
||||
### Why Order Matters(为何顺序重要)
|
||||
- LOG 素材对比度被拉伸,直接应用创意 LUT 会导致色彩计算错误
|
||||
- 必须先还原正常对比度,再做风格化处理
|
||||
|
||||
## Creating Custom LUTs
|
||||
- 将常用调色参数导出为 LUT
|
||||
- 用于个人风格一致性
|
||||
- 多视频系列保持统一视觉风格
|
||||
|
||||
## Common LUT Formats
|
||||
- .cube(通用格式,DaVinci/PR/FCP 都支持)
|
||||
- .3dl
|
||||
- .look
|
||||
|
||||
## Connections
|
||||
- [[调色分级]] ← 技术载体 ← [[LUT]]
|
||||
- [[短视频剪辑]] ← 环节 ← [[LUT]]
|
||||
- [[DaVinci Resolve]] ← 内置 LUT 支持 ← [[LUT]]
|
||||
37
wiki/concepts/Lead-Generation-Funnel.md
Normal file
37
wiki/concepts/Lead-Generation-Funnel.md
Normal file
@@ -0,0 +1,37 @@
|
||||
---
|
||||
title: "Lead Generation Funnel"
|
||||
type: concept
|
||||
tags: [marketing, conversion, sales]
|
||||
last_updated: 2026-04-21
|
||||
---
|
||||
|
||||
## Definition
|
||||
销售漏斗,从内容参与到销售对话的转化路径,通过战略定位和隐性 CTA 将感兴趣的读者转化为合格潜在客户。
|
||||
|
||||
## Funnel Stages
|
||||
1. **Awareness**:通过高质量回答吸引目标受众关注
|
||||
2. **Engagement**:通过有价值内容建立信任和兴趣
|
||||
3. **Consideration**:读者开始将品牌视为问题解决方案
|
||||
4. **Conversion**:通过战略 CTA 将读者转化为销售线索
|
||||
|
||||
## CTA Strategy
|
||||
- Never hard sell:避免激进销售语言
|
||||
- Subtle positioning:隐性定位,让专业价值说话
|
||||
- Value-driven:提供价值而非推销产品
|
||||
- Multiple touchpoints:多触点追踪,从回答到专栏到私信
|
||||
|
||||
## Key Metrics
|
||||
- Traffic Conversion:3-8% of Zhihu traffic converting to website/CRM leads
|
||||
- Lead Quality:50-200 qualified leads per month
|
||||
- Business Impact:10-30% of leads from Zhihu converting to customers
|
||||
|
||||
## Implementation
|
||||
- Answer-level CTAs:回答末尾的自然延伸阅读
|
||||
- Profile-level CTAs:个人主页的完整价值主张
|
||||
- Column-level CTAs:专栏作为深度内容聚合和线索培育
|
||||
- Live/Event CTAs:知乎 Live 和活动实现深度互动转化
|
||||
|
||||
## Related Concepts
|
||||
- [[Thought Leadership]] ← generates ← [[Lead Generation Funnel]]
|
||||
- [[Content Pillar]] ← supports ← [[Lead Generation Funnel]]
|
||||
- [[Sales Pipeline]] ← outputs ← [[Lead Generation Funnel]]
|
||||
30
wiki/concepts/Listing-Optimization.md
Normal file
30
wiki/concepts/Listing-Optimization.md
Normal file
@@ -0,0 +1,30 @@
|
||||
---
|
||||
title: Listing Optimization
|
||||
type: concept
|
||||
tags: [ecommerce, seo, amazon, cross-border, localization]
|
||||
aliases: [Product Listing, Multilingual Listing]
|
||||
---
|
||||
|
||||
## Definition
|
||||
商品 listing 优化,通过本地化语言、关键词策略、视觉设计和结构化内容提升搜索排名和转化率。
|
||||
|
||||
## Core Components
|
||||
- Title:品牌 + 核心关键词 + 属性 + 卖點 + 规格
|
||||
- Bullet Points:五点清晰展示产品价值
|
||||
- Product Description:详细说明产品功能和使用场景
|
||||
- Backend Search Terms:隐藏关键词补充
|
||||
- Images:主图 + 生活方式图 + 信息图
|
||||
|
||||
## Key Principles
|
||||
- 本地语言审查是强制要求:机器翻译是最大的转化率杀手
|
||||
- 文化禁忌和敏感词必须避免
|
||||
- 视觉本地化适配目标市场审美
|
||||
- A+ Content(亚马逊)大幅提升转化率
|
||||
|
||||
## Platforms with Listing Optimization
|
||||
- Amazon:A+ Content、品牌故事模块
|
||||
- Shopee/Lazada:平台特定的 listing 结构
|
||||
- TikTok Shop:短视频内容优化
|
||||
|
||||
## Connections
|
||||
- [[Marketing Cross-Border E-Commerce Specialist]] ← performs ← [[Listing Optimization]]
|
||||
28
wiki/concepts/Memory-Tagging.md
Normal file
28
wiki/concepts/Memory-Tagging.md
Normal file
@@ -0,0 +1,28 @@
|
||||
---
|
||||
title: "Memory Tagging"
|
||||
type: concept
|
||||
tags: [memory, tagging, multi-agent, recall]
|
||||
last_updated: 2026-04-21
|
||||
---
|
||||
|
||||
## Definition
|
||||
Memory Tagging 是一种通过标签系统实现记忆精准召回的机制。在多智能体工作流中,每个记忆被标记为项目名和接收 agent 名,使后续 agent 能够自动检索所需上下文。
|
||||
|
||||
## Core Pattern
|
||||
- **项目名标签**:确保同一项目的所有记忆可被召回
|
||||
- **接收方标签**:使特定 agent 可检索面向其的交付物
|
||||
- **类型标签**:区分 sprint-plan、research-brief、api-spec 等记忆类型
|
||||
|
||||
## Example
|
||||
```
|
||||
记忆标签组合:
|
||||
- retroboard + sprint-prioritizer + sprint-plan
|
||||
- retroboard + ux-researcher + research-brief
|
||||
- retroboard + backend-architect + api-spec
|
||||
- retroboard + frontend-developer + api-spec
|
||||
```
|
||||
|
||||
## Connections
|
||||
- [[MCP Memory Server]]:支撑 remember/recall 操作的服务器
|
||||
- [[Multi-Agent Workflow]]:应用场景
|
||||
- [[Memory Backend]]:相关但不同的记忆架构方案
|
||||
32
wiki/concepts/Multi-Agent-Orchestration.md
Normal file
32
wiki/concepts/Multi-Agent-Orchestration.md
Normal file
@@ -0,0 +1,32 @@
|
||||
---
|
||||
title: "Multi-Agent Orchestration"
|
||||
type: concept
|
||||
tags: [multi-agent, orchestration, rust]
|
||||
date: 2026-03-05
|
||||
---
|
||||
|
||||
## Definition
|
||||
多 Agent 编排是协调和管理多个 AI Agent 协同工作的技术,Nexus Spatial 使用 Rust 作为高性能 DAG 执行引擎。
|
||||
|
||||
## Why Rust
|
||||
- 亚毫秒调度精度
|
||||
- 零 GC 暂停,保证响应延迟
|
||||
- 内存安全,适合 agent sandboxing
|
||||
- 适合 CPU 密集型的 DAG 执行
|
||||
|
||||
## Architecture
|
||||
- 14-table 数据模型(users, workflows, nodes, edges, executions, etc.)
|
||||
- 内置 node types: ai_agent, prompt_template, conditional, transform, input/output, human_review, loop, parallel_split/join, webhook_trigger, delay
|
||||
- WebSocket 实时流,支持 per-channel 序列号、gap 检测、snapshot 恢复
|
||||
|
||||
## Scaling Targets
|
||||
- Year 1: 5,000 并发 agent executions, 10,000 WebSocket 连接
|
||||
- Year 2: 50,000 并发, 100,000 WebSocket 连接
|
||||
|
||||
## Related Concepts
|
||||
- [[Multi-Agent Team]]:协作架构
|
||||
- [[Spatial AI Operations]]:应用领域
|
||||
- [[Rust]]:实现语言
|
||||
|
||||
## Related Entities
|
||||
- [[Nexus Spatial]]:产品实现
|
||||
27
wiki/concepts/Rollback-Mechanism.md
Normal file
27
wiki/concepts/Rollback-Mechanism.md
Normal file
@@ -0,0 +1,27 @@
|
||||
---
|
||||
title: "Rollback Mechanism"
|
||||
type: concept
|
||||
tags: [rollback, memory, qa, recovery]
|
||||
last_updated: 2026-04-21
|
||||
---
|
||||
|
||||
## Definition
|
||||
Rollback Mechanism 是指 agent 将工作状态回退到最后检查点以修复问题的机制。在 QA 失败场景下,无需人工描述问题,agent 直接调用 rollback 恢复已知良好状态,然后针对具体问题修复。
|
||||
|
||||
## Mechanism
|
||||
1. Agent 调用 `rollback` MCP 工具
|
||||
2. 指定回退到的检查点(时间戳或版本)
|
||||
3. 系统恢复至该检查点的状态
|
||||
4. Agent 在恢复状态下针对具体问题进行修复
|
||||
|
||||
## Use Case
|
||||
QA 失败时 Reality Checker 指出 API 设计问题,Backend Architect:
|
||||
1. 召回 Reality Checker 的反馈
|
||||
2. 召回自己的上一个 API spec
|
||||
3. Rollback 至该版本
|
||||
4. 针对具体问题修复并重新存储
|
||||
|
||||
## Connections
|
||||
- [[MCP Memory Server]]:支撑 rollback 操作的服务器
|
||||
- [[Reality Checker]]:触发 rollback 的审查方
|
||||
- [[Memory Tagging]]:checkpoint 的标记方式
|
||||
52
wiki/concepts/SCRM.md
Normal file
52
wiki/concepts/SCRM.md
Normal file
@@ -0,0 +1,52 @@
|
||||
---
|
||||
title: "SCRM"
|
||||
type: concept
|
||||
tags: [CRM, 客户关系管理, 私域运营, 微信生态]
|
||||
sources: [[raw/Agent/agency-agents/marketing/marketing-private-domain-operator.md]]
|
||||
date: 2026-04-21
|
||||
---
|
||||
|
||||
## Definition
|
||||
Social CRM(社交客户关系管理),传统 CRM 的社交化升级版,核心是通过社交平台(微信、企业微信等)实现客户的直接连接、标签化管理、自动化触达和生命周期价值最大化。
|
||||
|
||||
## Core Components
|
||||
|
||||
### Channel QR Code Configuration
|
||||
- 渠道活码:自动分配员工、发送欢迎消息、自动打标签
|
||||
- 员工池管理:按区域/业务线分组,支持轮询分配
|
||||
- 渠道追踪:追踪每个获客渠道的转化效果
|
||||
|
||||
### Tag System
|
||||
多维度标签体系:
|
||||
- **客户来源**:包裹卡、直播、门店、SMS、推荐等
|
||||
- **消费层级**:高客单(>500)、中客单(200-500)、低客单(<200)
|
||||
- **生命周期阶段**:新客、活跃、休眠、流失预警、已流失
|
||||
- **兴趣偏好**:美妆、护肤、母婴、健康等
|
||||
|
||||
自动打标规则:
|
||||
- 完成首购 → 添加「新客」标签
|
||||
- 30 天无互动 → 添加「休眠客户」标签
|
||||
- 累计消费 > 2000 → 添加「高价值客户」「VIP候选」标签
|
||||
|
||||
### Customer Group Configuration
|
||||
- 欢迎福利群:新人专享,200 人上限
|
||||
- VIP 会员群:累计消费 > 1000 或 tagged VIP,100 人上限
|
||||
- 超级用户群:高互动、高消费核心用户
|
||||
|
||||
## WeCom Integration
|
||||
企业微信 SCRM 配置核心要素:
|
||||
- 渠道码配置(包裹卡、直播、门店等多渠道)
|
||||
- 标签系统设计(来源、层级、生命周期、兴趣)
|
||||
- 自动化工作流(欢迎消息、催付、复购提醒、休眠唤醒)
|
||||
- 社群 SOP(每日内容安排、每周活动、关键触点自动化)
|
||||
|
||||
## Related Concepts
|
||||
- [[私域运营]]
|
||||
- [[用户生命周期管理]]
|
||||
- [[社群分层运营]]
|
||||
- [[用户LTV]]
|
||||
- [[SOP自动化]]
|
||||
|
||||
## Related Entities
|
||||
- [[WeCom-Learning]]
|
||||
- [[Marketing Private Domain Operator]]
|
||||
105
wiki/concepts/SOP自动化.md
Normal file
105
wiki/concepts/SOP自动化.md
Normal file
@@ -0,0 +1,105 @@
|
||||
---
|
||||
title: "SOP自动化"
|
||||
type: concept
|
||||
tags: [运营自动化, 工作流, 私域运营, 效率提升]
|
||||
sources: [[raw/Agent/agency-agents/marketing/marketing-private-domain-operator.md]]
|
||||
date: 2026-04-21
|
||||
---
|
||||
|
||||
## Definition
|
||||
SOP 自动化是将标准化作业流程(Standard Operating Procedure)通过系统配置实现自动触发、自动执行、自动记录的运营方法。核心价值是降低人工重复劳动、保证执行一致性、实现规模化运营。
|
||||
|
||||
## Core Automation Flows
|
||||
|
||||
### 新客激活自动化
|
||||
```python
|
||||
lifecycle_automation = {
|
||||
"new_customer_activation": {
|
||||
"trigger": "添加企业微信好友",
|
||||
"flows": [
|
||||
{"delay": "0min", "action": "发送欢迎消息 + 新人礼包"},
|
||||
{"delay": "30min", "action": "推送产品使用指南(小程序)"},
|
||||
{"delay": "24h", "action": "邀请加入福利群"},
|
||||
{"delay": "48h", "action": "发送首购专属优惠券(30元无门槛)"},
|
||||
{"delay": "72h", "condition": "无购买", "action": "1v1 私聊需求诊断"},
|
||||
{"delay": "7d", "condition": "仍无购买", "action": "发送限时试用样品 offer"},
|
||||
]
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
### 复购提醒自动化
|
||||
```python
|
||||
lifecycle_automation = {
|
||||
"repurchase_reminder": {
|
||||
"trigger": "距上次购买 N 天(基于产品消费周期)",
|
||||
"flows": [
|
||||
{"delay": "cycle-7d", "action": "推送产品效果调研"},
|
||||
{"delay": "cycle-3d", "action": "发送复购offer(回头客专属价)"},
|
||||
{"delay": "cycle", "action": "1v1 补货提醒 + 推荐升级产品"},
|
||||
]
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
### 休眠唤醒自动化
|
||||
```python
|
||||
lifecycle_automation = {
|
||||
"dormant_reactivation": {
|
||||
"trigger": "30 天无互动且无购买",
|
||||
"flows": [
|
||||
{"delay": "30d", "action": "定向朋友圈(仅对休眠客户可见)"},
|
||||
{"delay": "45d", "action": "发送专属回场优惠券(20元无门槛)"},
|
||||
{"delay": "60d", "action": "1v1 关怀消息(非促销,真诚问候)"},
|
||||
{"delay": "90d", "condition": "仍无响应", "action": "降级处理,减少触达频率"},
|
||||
]
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
### 流失预警自动化
|
||||
```python
|
||||
lifecycle_automation = {
|
||||
"churn_early_warning": {
|
||||
"trigger": "流失概率模型分数 > 0.7",
|
||||
"features": [
|
||||
"最近30天消息打开次数",
|
||||
"距上次购买天数",
|
||||
"社群互动频率变化",
|
||||
"朋友圈互动下降率",
|
||||
"退群/静音行为",
|
||||
],
|
||||
"action": "触发人工干预——高级顾问进行 1v1 跟进"
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
## WeCom Mass Messaging Limits
|
||||
自动化触达必须遵守平台限制:
|
||||
- 客户群发消息:每月不超过 4 次
|
||||
- 朋友圈发布:每天不超过 1 条
|
||||
- 敏感行业(金融、医疗、教育)需合规审查
|
||||
|
||||
## SOP Dashboard SQL
|
||||
```sql
|
||||
-- 社群转化漏斗
|
||||
SELECT
|
||||
group_type AS group_type,
|
||||
COUNT(DISTINCT member_id) AS group_members,
|
||||
COUNT(DISTINCT CASE WHEN has_clicked_product = 1 THEN member_id END) AS product_clickers,
|
||||
COUNT(DISTINCT CASE WHEN has_ordered = 1 THEN member_id END) AS purchasers,
|
||||
ROUND(COUNT(DISTINCT CASE WHEN has_ordered = 1 THEN member_id END)
|
||||
* 100.0 / COUNT(DISTINCT member_id), 2) AS group_conversion_rate
|
||||
FROM scrm_group_conversion
|
||||
WHERE stat_date BETWEEN '{start_date}' AND '{end_date}'
|
||||
GROUP BY group_type;
|
||||
```
|
||||
|
||||
## Related Concepts
|
||||
- [[私域运营]]
|
||||
- [[用户生命周期管理]]
|
||||
- [[社群分层运营]]
|
||||
- [[SCRM]]
|
||||
|
||||
## Related Entities
|
||||
- [[Marketing Private Domain Operator]]
|
||||
27
wiki/concepts/Social-Media-Analytics.md
Normal file
27
wiki/concepts/Social-Media-Analytics.md
Normal file
@@ -0,0 +1,27 @@
|
||||
---
|
||||
title: "Social Media Analytics"
|
||||
type: concept
|
||||
tags: [marketing, analytics, performance]
|
||||
---
|
||||
|
||||
## Definition
|
||||
跨平台绩效分析和归因建模方法论,通过数据驱动的洞察优化社交媒体策略和投资回报率。
|
||||
|
||||
## Analytics Framework
|
||||
- **Platform Analytics**: 各平台原生分析工具审查
|
||||
- **Cross-Platform Dashboards**: 统一报告覆盖触达、参与度和转化
|
||||
- **A/B Testing**: 内容格式、时间和消息优化
|
||||
- **Competitive Benchmarking**: 份额和表现 vs 行业同行
|
||||
|
||||
## Key Metrics
|
||||
- LinkedIn Engagement Rate: 3%+ (公司页面), 5%+ (个人品牌)
|
||||
- Cross-Platform Reach: 20% 月度增长
|
||||
- Content Performance: 50%+ 达到基准
|
||||
- Campaign ROI: 3x+ 回报
|
||||
|
||||
## Related Concepts
|
||||
- [[Cross-Platform Strategy]]
|
||||
- [[B2B Social Selling]]
|
||||
|
||||
## Source
|
||||
- [[Social Media Strategist]]
|
||||
27
wiki/concepts/Spatial-AI-Operations.md
Normal file
27
wiki/concepts/Spatial-AI-Operations.md
Normal file
@@ -0,0 +1,27 @@
|
||||
---
|
||||
title: "Spatial AI Operations (SpatialAIOps)"
|
||||
type: concept
|
||||
tags: [ai-ops, spatial-computing, product-category]
|
||||
date: 2026-03-05
|
||||
---
|
||||
|
||||
## Definition
|
||||
Spatial AI Operations(空间人工智能运维)是由 Nexus Spatial 创建的新产品类别,将 AI agent 工作流编排和监控从扁平 2D 仪表盘扩展到沉浸式 3D 空间。
|
||||
|
||||
## Core Principles
|
||||
- 空间感知:AI 操作如同" inhabiting your infrastructure"
|
||||
- 可视化深度:3D node graphs 替代扁平拓扑
|
||||
- 协作临场感:团队成员共享 3D 空间进行实时协作
|
||||
|
||||
## Category Creation
|
||||
不同于现有"AI observability dashboard"(LangSmith、Langflow),SpatialAIOps 定义了新品类:
|
||||
- AI-focused + Spatial-first
|
||||
- 竞品要么是空间但非 AI,要么是 AI 但非空间
|
||||
|
||||
## Related Concepts
|
||||
- [[Multi-Agent Orchestration]]:核心技术
|
||||
- [[2D-First Spatial-Second]]:产品策略
|
||||
- [[Progressive Disclosure]]:用户体验原则
|
||||
|
||||
## Related Entities
|
||||
- [[Nexus Spatial]]:品类定义产品
|
||||
40
wiki/concepts/Thought-Leadership.md
Normal file
40
wiki/concepts/Thought-Leadership.md
Normal file
@@ -0,0 +1,40 @@
|
||||
---
|
||||
title: "Thought Leadership"
|
||||
type: concept
|
||||
tags: [marketing, brand, authority]
|
||||
last_updated: 2026-04-21
|
||||
---
|
||||
|
||||
## Definition
|
||||
思想领导力,通过专业知识分享、独特视角和创新洞察在行业中建立权威地位,使品牌或个人成为他人信赖的参考来源。
|
||||
|
||||
## Core Elements
|
||||
- Deep Expertise:深入的专业知识,能够提供独到见解
|
||||
- Unique Perspective:与众不同的角度,避免泛泛而谈
|
||||
- Industry Advancement:推动行业对话和进步
|
||||
- Credibility Building:通过持续高质量输出建立信任
|
||||
|
||||
## Development Process
|
||||
1. Identify core topics aligned with business expertise
|
||||
2. Research existing experts and find differentiation gaps
|
||||
3. Create comprehensive, data-backed content
|
||||
4. Engage authentically in community discussions
|
||||
5. Build subscriber base through consistent publishing
|
||||
|
||||
## Connection to Zhihu Strategy
|
||||
- Core Mission:Transform brands into Zhihu authority powerhouses through thought leadership
|
||||
- Platform Fit:知乎用户寻求深度知识和专业见解
|
||||
- Content Standard:Only answer questions where genuine expertise exists
|
||||
|
||||
## Key Metrics
|
||||
- Answer Upvote Rate:100+ average upvotes per answer
|
||||
- Top Answer Rate:30%+ of answers becoming "Best Answers"
|
||||
- Authority Recognition:Topic authority badges, inclusion in "Best Experts" lists
|
||||
|
||||
## Related Concepts
|
||||
- [[Community Credibility]] ← builds ← [[Thought Leadership]]
|
||||
- [[Content Pillar]] ← enables ← [[Thought Leadership]]
|
||||
- [[Lead Generation Funnel]] ← drives ← [[Thought Leadership]]
|
||||
|
||||
## Additional Sources
|
||||
- [[Social Media Strategist]] — LinkedIn/Twitter 跨平台思想领导力建设
|
||||
26
wiki/concepts/VAT.md
Normal file
26
wiki/concepts/VAT.md
Normal file
@@ -0,0 +1,26 @@
|
||||
---
|
||||
title: VAT (Value Added Tax)
|
||||
type: concept
|
||||
tags: [compliance, taxation, cross-border, europe, uk]
|
||||
aliases: [Value Added Tax, UK VAT, EU VAT, OSS, IOSS]
|
||||
---
|
||||
|
||||
## Definition
|
||||
增值税,欧盟和英国等市场对商品和服务征收的消费税。跨境电商必须注册、申报和缴纳。
|
||||
|
||||
## Key Markets
|
||||
- UK:必须注册英国 VAT,申报周期通常为季度
|
||||
- Germany:VerpackG(包装法)额外要求
|
||||
- EU:OSS/IOSS 一站式申报,简化多国申报流程
|
||||
|
||||
## Compliance Requirements
|
||||
- 注册 VAT 是销售的前置条件
|
||||
- 不合规会导致平台下架 + 罚款
|
||||
- 税务欺诈是跨境电商的定时炸弹
|
||||
|
||||
## Connection to Cross-Border E-Commerce
|
||||
VAT 合规是进入欧洲和英国市场的必要条件,成本必须计入产品定价模型。
|
||||
|
||||
## Connections
|
||||
- [[Marketing Cross-Border E-Commerce Specialist]] ← requires ← [[VAT (Value Added Tax)]]
|
||||
- [[Legal Compliance Checker]] ← validates ← [[VAT (Value Added Tax)]]
|
||||
28
wiki/concepts/Visual-Coherence-Engine.md
Normal file
28
wiki/concepts/Visual-Coherence-Engine.md
Normal file
@@ -0,0 +1,28 @@
|
||||
---
|
||||
title: "Visual Coherence Engine"
|
||||
type: concept
|
||||
tags: [ai, image-generation, gemini, branding]
|
||||
sources: [marketing-carousel-growth-engine]
|
||||
last_updated: 2026-04-21
|
||||
---
|
||||
|
||||
## Definition
|
||||
通过 Gemini image-to-image 技术确保 6 张轮播幻灯片视觉一致性的生成系统。
|
||||
|
||||
## Mechanism
|
||||
1. **Slide 1**:纯文本 prompt 生成,建立视觉 DNA(颜色、字体、美学)
|
||||
2. **Slides 2-6**:使用 Slide 1 作为 reference image 输入,通过 Gemini image-to-image 生成,保持视觉一致性
|
||||
|
||||
## Technical Implementation
|
||||
- **Model**: `gemini-3.1-flash-image-preview`
|
||||
- **Input**: `--input-image slide-1.jpg` 作为参考
|
||||
- **Output**: 768x1376 JPG 格式(TikTok 要求)
|
||||
|
||||
## Brand Integration
|
||||
- 通过 Playwright 提取 CSS 颜色并融入 prompt
|
||||
- 字体样式和大小通过结构化 prompt 保持一致
|
||||
- 背景场景叙事性演进同时保持视觉统一
|
||||
|
||||
## Aliases
|
||||
- 视觉一致性引擎
|
||||
- Image-to-Image Pipeline
|
||||
20
wiki/concepts/万相台.md
Normal file
20
wiki/concepts/万相台.md
Normal file
@@ -0,0 +1,20 @@
|
||||
---
|
||||
title: "万相台"
|
||||
type: concept
|
||||
tags: [阿里妈妈, 广告, 智能投放, 电商]
|
||||
sources: [[raw/Agent/agency-agents/marketing/marketing-china-ecommerce-operator.md]]
|
||||
date: 2026-04-21
|
||||
---
|
||||
|
||||
## Definition
|
||||
阿里妈妈的智能投放平台,支持货品加速、拉新快等多种投放策略。
|
||||
|
||||
## Core Features
|
||||
- 货品加速:提升产品曝光和销量
|
||||
- 拉新快:精准获取新客户
|
||||
- 智能定向:基于用户兴趣和行为的人群定向
|
||||
|
||||
## Strategy
|
||||
- 再营销:触达加购/浏览未购买用户
|
||||
- 相似人群扩展:基于现有客户找相似用户
|
||||
- 创意轮播:每活动测试5个创意,每周淘汰表现差的
|
||||
42
wiki/concepts/下沉市场.md
Normal file
42
wiki/concepts/下沉市场.md
Normal file
@@ -0,0 +1,42 @@
|
||||
---
|
||||
title: "下沉市场"
|
||||
type: concept
|
||||
tags: [china, market, rural, tier-3-4-5]
|
||||
aliases: [下沉市场用户, 低线城市]
|
||||
last_updated: 2026-04-21
|
||||
---
|
||||
|
||||
## Definition
|
||||
下沉市场指中国三四五线城市及农村地区用户群体,具备庞大人口基数、较强消费意愿和独特的消费心理。
|
||||
|
||||
## User Characteristics
|
||||
- **人口规模**:约 10 亿人口,占中国总人口 70%+
|
||||
- **收入水平**:可支配收入增长快,消费升级意愿强
|
||||
- **消费心理**:注重实用性、性价比、真实评价
|
||||
- **时间分配**:工作强度相对低,晚间娱乐时间长
|
||||
|
||||
## Platform Strategy Implications
|
||||
| Platform | 目标用户 | 内容策略 |
|
||||
|---------|---------|---------|
|
||||
| 快手 | 下沉市场 30-50 岁 | 真实、接地气、生活化 |
|
||||
| 抖音 | 一二线城市 18-35 岁 | 精致、时尚、潮流 |
|
||||
|
||||
## Content Preferences
|
||||
- **真实性优先**:不追求精致包装,喜欢真实展现
|
||||
- **实用性导向**:产品演示、工厂探访、使用场景
|
||||
- **价格敏感**:高性价比产品更受欢迎
|
||||
- **口碑依赖**:信任熟人和真实评价
|
||||
|
||||
## Marketing Considerations
|
||||
- 避免居高临下的内容风格
|
||||
- 强调真实性和可信度
|
||||
- 产品选择侧重日常必需品
|
||||
- 季节性和节日消费特征明显
|
||||
|
||||
## Related Concepts
|
||||
- [[老铁经济]]
|
||||
- [[均衡分发]]
|
||||
- [[私域运营]]
|
||||
|
||||
## Related Entities
|
||||
- [[Kuaishou]]
|
||||
19
wiki/concepts/京速推.md
Normal file
19
wiki/concepts/京速推.md
Normal file
@@ -0,0 +1,19 @@
|
||||
---
|
||||
title: "京速推"
|
||||
type: concept
|
||||
tags: [京东, 广告, 智能投放, 电商]
|
||||
sources: [[raw/Agent/agency-agents/marketing/marketing-china-ecommerce-operator.md]]
|
||||
date: 2026-04-21
|
||||
---
|
||||
|
||||
## Definition
|
||||
京东的广告投放产品,提供智能化的广告投放服务。
|
||||
|
||||
## Core Features
|
||||
- 智能出价:基于转化目标的自动出价
|
||||
- 多场景覆盖:搜索、展示、推荐等多场景
|
||||
- 品牌加权:京东算法对品牌权威性友好
|
||||
|
||||
## Strategy
|
||||
- 注重品牌建设:京东用户信任规格和品牌
|
||||
- 数据驱动优化:持续监控 ROI 并调整出价
|
||||
37
wiki/concepts/均衡分发.md
Normal file
37
wiki/concepts/均衡分发.md
Normal file
@@ -0,0 +1,37 @@
|
||||
---
|
||||
title: "均衡分发"
|
||||
type: concept
|
||||
tags: [kuaishou, algorithm, content-distribution]
|
||||
aliases: [Equal Distribution, 快手算法]
|
||||
last_updated: 2026-04-21
|
||||
---
|
||||
|
||||
## Definition
|
||||
均衡分发是快手平台的内容分发机制,给每个创作者提供基础曝光量,再根据内容表现决定是否扩大分发。
|
||||
|
||||
## Mechanism
|
||||
1. **基础分发**:每个视频自动获得 200-500 次基础曝光
|
||||
2. **效果验证**:根据点赞、评论、分享、完播率等指标评估
|
||||
3. **扩大分发**:优质内容进入更大流量池
|
||||
4. **社交权重**:粉丝互动和关系链影响分发优先级
|
||||
|
||||
## Contrast with Douyin
|
||||
| Dimension | 均衡分发(快手) | 中心化推荐(抖音) |
|
||||
|-----------|-----------------|-----------------|
|
||||
| 初始曝光 | 每个视频基础曝光 | 依赖算法判断 |
|
||||
| 流量分布 | 相对均匀 | 头部集中 |
|
||||
| 新创作者 | 有基础曝光机会 | 冷启动困难 |
|
||||
| 增长模式 | 慢但稳定 | 快但依赖爆款 |
|
||||
|
||||
## Creator Strategy Implications
|
||||
- **持续性重于爆款**:每日稳定发帖比单次爆款更重要
|
||||
- **粉丝关系关键**:粉丝互动直接影响内容分发
|
||||
- **私域价值高**:粉丝是最可靠的曝光保障
|
||||
|
||||
## Related Concepts
|
||||
- [[老铁经济]]
|
||||
- [[私域运营]]
|
||||
- [[下沉市场]]
|
||||
|
||||
## Related Entities
|
||||
- [[Kuaishou]]
|
||||
20
wiki/concepts/多多搜索.md
Normal file
20
wiki/concepts/多多搜索.md
Normal file
@@ -0,0 +1,20 @@
|
||||
---
|
||||
title: "多多搜索"
|
||||
type: concept
|
||||
tags: [拼多多, 广告, 搜索广告, 电商]
|
||||
sources: [[raw/Agent/agency-agents/marketing/marketing-china-ecommerce-operator.md]]
|
||||
date: 2026-04-21
|
||||
---
|
||||
|
||||
## Definition
|
||||
拼多多的搜索广告工具,帮助商家获取搜索流量。
|
||||
|
||||
## Core Features
|
||||
- 关键词竞价:按点击付费
|
||||
- 千人千面:个性化推荐权重高
|
||||
- 竞争策略:新品上架前14天 aggressive 竞价
|
||||
|
||||
## Strategy
|
||||
- 前期高投放:新品期快速积累权重
|
||||
- 聚焦个性化排名信号优化
|
||||
- 目标ROAS:2:1(低利润率但高销量)
|
||||
52
wiki/concepts/字幕设计.md
Normal file
52
wiki/concepts/字幕设计.md
Normal file
@@ -0,0 +1,52 @@
|
||||
---
|
||||
title: "字幕设计"
|
||||
type: concept
|
||||
tags: [subtitles, typography, video-editing]
|
||||
aliases: [Subtitle Design, Caption]
|
||||
last_updated: 2026-04-21
|
||||
---
|
||||
|
||||
## Definition
|
||||
短视频中字幕的设计与制作技术,涵盖装饰字幕、综艺字幕、滚动弹幕和多语言字幕的分类与制作方法。
|
||||
|
||||
## Subtitle Categories
|
||||
|
||||
### Decorative Text(装饰字幕 / 花字)
|
||||
- 装饰字幕 = 带设计感的风格化字幕,用于强调关键信息或增加趣味
|
||||
- 常见样式:描边 + 投影、3D 凸起渐变填充、纹理映射
|
||||
- 制作工具:CapCut 模板(最快)、Photoshop PNG 导入、AE 动态花字
|
||||
- **设计原则**:字幕颜色必须与画面对比(暗调画面用亮色字幕;亮调画面用深色字幕 + 描边)
|
||||
- 图层:底层描边/投影 + 中层颜色填充 + 顶层高光/光泽;至少两层
|
||||
|
||||
### Variety Show Subtitles(综艺字幕风格)
|
||||
- **特点**:大字体、高饱和颜色、夸张动画、配音效应
|
||||
- 常见技法:文字抖动强调、脉冲缩放、旋转进场、emoji 插入
|
||||
- 颜色规则:不同说话人不同颜色;关键词用吸睛颜色(红/黄)弹出
|
||||
- 位置规则:不要遮挡人脸;在安全区域内;竖屏字幕放在下三分之一
|
||||
- **注意**:综艺风格适合娱乐/喜剧/反应内容;不要滥用教育和商业内容
|
||||
|
||||
### Scrolling Comment-Style(滚动弹幕字幕)
|
||||
- 用途:反应视频、精选评论、多人对谈、营造繁忙氛围
|
||||
- 实现:多条字幕轨道以不同速度从右向左滚动
|
||||
- 颜色和大小:模仿 Bilibili 弹幕风格;大部分白色,关键评论用彩色或更大字号
|
||||
- **节奏**:不要从头滚到尾——关键时刻集中爆发,其他地方留呼吸空间
|
||||
|
||||
### Multilingual Subtitles(多语言字幕)
|
||||
- **SRT 格式**:最通用的字幕格式;支持所有平台和播放器;纯文本 + 时间码
|
||||
- **ASS 格式**:支持丰富样式(字体/颜色/位置/动画);常用于 Bilibili 上传
|
||||
- 双语布局:主语言在上 / 次语言在下;主语言字号更大
|
||||
- 字幕时间:每行持续 1-5 秒;提前 0.2-0.5 秒出现(让眼睛跟上)
|
||||
- AI 自动字幕 + 手动 review:AI 生成初稿节省 80% 时间;然后逐行 review 错别字和断句
|
||||
|
||||
## Typography Aesthetics(字幕排版美学)
|
||||
- **字体选择**:中文用思源黑体 / 阿里巴巴普惠体(免费商用);标题用站酷字体系列
|
||||
- **字号指南**:
|
||||
- 竖屏正文字幕 30-36px,标题 48-64px
|
||||
- 横屏正文 24-30px,标题 36-48px
|
||||
- 安全边距:字幕不接触画面边缘;距离边框保持 10%-15% 安全距离
|
||||
- 行距和字距:行高 1.2-1.5x;字距略宽增加呼吸感
|
||||
- **可读性**:字幕必须清晰可辨——至少使用半透明背景条、描边或投影之一
|
||||
|
||||
## Connections
|
||||
- [[短视频剪辑]] ← 核心环节 ← [[字幕设计]]
|
||||
- [[AI辅助剪辑]] ← 加速 ← [[字幕设计]]
|
||||
73
wiki/concepts/用户LTV.md
Normal file
73
wiki/concepts/用户LTV.md
Normal file
@@ -0,0 +1,73 @@
|
||||
---
|
||||
title: "用户LTV"
|
||||
type: concept
|
||||
tags: [电商指标, 用户价值, 商业化, 运营指标]
|
||||
sources: [[raw/Agent/agency-agents/marketing/marketing-private-domain-operator.md]]
|
||||
date: 2026-04-21
|
||||
---
|
||||
|
||||
## Definition
|
||||
LTV(Lifetime Value,用户生命周期价值)是指单个用户在整个生命周期内为企业创造的总收入。是衡量用户质量和运营效果的核心指标。
|
||||
|
||||
## Formula
|
||||
```
|
||||
LTV = 平均订单金额 × 平均订单数量 × 平均生命周期
|
||||
= (总 GMV / 订单数) × (总订单数 / 用户数) × 用户平均生命周期
|
||||
```
|
||||
|
||||
简化计算:
|
||||
```
|
||||
日均贡献 = 总 GMV / 用户数 / 活跃天数
|
||||
月均贡献 = 日均贡献 × 30
|
||||
年化 LTV = 月均贡献 × 12
|
||||
```
|
||||
|
||||
## LTV by Lifecycle Stage
|
||||
|
||||
| 生命周期阶段 | 用户特征 | 平均累计消费 | 平均订单数 | 日均贡献 |
|
||||
|------------|---------|-------------|-----------|---------|
|
||||
| 新客 | 首购 0-7 天 | 较低 | 1 | 低 |
|
||||
| 活跃 | 持续复购 | 中等 | 3-5 | 中 |
|
||||
| 高价值 | 累计 >2000 | 高 | 8+ | 高 |
|
||||
| 休眠 | 30 天无互动 | 变化不大 | 下降 | 下降 |
|
||||
| 流失 | 90+ 天无响应 | 停滞 | 0 | 0 |
|
||||
|
||||
## Private Domain vs Public Domain
|
||||
私域运营的核心目标是将用户 LTV 提升至公域的 3 倍以上:
|
||||
|
||||
| 维度 | 公域用户 | 私域用户 |
|
||||
|------|---------|---------|
|
||||
| 获客成本 | 50-200 元 | <5 元 |
|
||||
| 触达成本 | 每次付费 | 免费多次 |
|
||||
| 复购率 | 5-10% | 15%+ |
|
||||
| LTV | 基准 | 3x+ |
|
||||
|
||||
## SQL Dashboard Query
|
||||
```sql
|
||||
-- 用户 LTV by 生命周期阶段
|
||||
SELECT
|
||||
lifecycle_stage AS lifecycle_stage,
|
||||
COUNT(DISTINCT user_id) AS user_count,
|
||||
ROUND(AVG(total_gmv), 2) AS avg_cumulative_spend,
|
||||
ROUND(AVG(order_count), 1) AS avg_order_count,
|
||||
ROUND(AVG(total_gmv) / AVG(DATEDIFF(CURDATE(), first_add_date)), 2) AS daily_contribution
|
||||
FROM scrm_user_ltv
|
||||
GROUP BY lifecycle_stage
|
||||
ORDER BY avg_cumulative_spend DESC;
|
||||
```
|
||||
|
||||
## Optimization Strategies
|
||||
1. **缩短首购周期**:新客 7 天首购转化率目标 >20%
|
||||
2. **提升客单价**:通过会员体系、组合优惠提升单订单金额
|
||||
3. **增加复购频次**:基于消费周期定期触达
|
||||
4. **延长生命周期**:休眠唤醒机制防止流失
|
||||
5. **识别高价值用户**:提前识别 VIP 候选,提供专属服务
|
||||
|
||||
## Related Concepts
|
||||
- [[用户生命周期管理]]
|
||||
- [[私域运营]]
|
||||
- [[社群分层运营]]
|
||||
- [[SCRM]]
|
||||
|
||||
## Related Entities
|
||||
- [[Marketing Private Domain Operator]]
|
||||
61
wiki/concepts/用户生命周期管理.md
Normal file
61
wiki/concepts/用户生命周期管理.md
Normal file
@@ -0,0 +1,61 @@
|
||||
---
|
||||
title: "用户生命周期管理"
|
||||
type: concept
|
||||
tags: [用户运营, CRM, 私域运营, 转化优化]
|
||||
sources: [[raw/Agent/agency-agents/marketing/marketing-private-domain-operator.md]]
|
||||
date: 2026-04-21
|
||||
---
|
||||
|
||||
## Definition
|
||||
用户生命周期管理是通过系统化方法管理用户从首次接触到最后流失的完整旅程,通过自动化触达最大化每个阶段用户价值的运营策略。
|
||||
|
||||
## Lifecycle Stages
|
||||
|
||||
### 新用户激活(0-7 天)
|
||||
- **0 分钟**:自动发送欢迎消息 + 新人礼包
|
||||
- **30 分钟**:推送产品使用指南(小程序)
|
||||
- **24 小时**:邀请加入福利群
|
||||
- **48 小时**:发送首购专属优惠券(满 99 减 30)
|
||||
- **72 小时**:若无购买,进行 1v1 私聊需求诊断
|
||||
- **7 天**:若仍无购买,发送限时试用样品 offer
|
||||
|
||||
### 成长培育(7-30 天)
|
||||
- 内容种草:社区内容输出,建立产品认知
|
||||
- 社群互动:引导参与每日活动,完成首次互动
|
||||
- 复购引导:基于购买周期,发送复购提醒
|
||||
|
||||
### 成熟运营(30-90 天)
|
||||
- 会员权益:升级至更高会员等级
|
||||
- 专属服务:1v1 专属顾问
|
||||
- 交叉销售:推荐关联产品
|
||||
|
||||
### 休眠唤醒(90+ 天)
|
||||
- **30 天**:定向朋友圈(仅对休眠客户可见)
|
||||
- **45 天**:发送专属回场优惠券(20 元无门槛)
|
||||
- **60 天**:1v1 关怀消息(非促销,真诚问候)
|
||||
- **90 天**:若仍无响应,降级处理,减少触达频率
|
||||
|
||||
### 流失预警
|
||||
基于行为数据的预测模型:
|
||||
- 最近 30 天消息打开次数
|
||||
- 距上次购买天数
|
||||
- 社群互动频率变化
|
||||
- 朋友圈互动下降率
|
||||
- 退群/静音行为
|
||||
|
||||
预警分数 > 0.7 → 触发人工干预,高级顾问进行 1v1 跟进
|
||||
|
||||
## Key Metrics
|
||||
- 新客 7 天首购转化率目标 >20%
|
||||
- 社群用户月度复购率目标 >15%
|
||||
- 用户 NPS > 40
|
||||
|
||||
## Related Concepts
|
||||
- [[SCRM]]
|
||||
- [[私域运营]]
|
||||
- [[社群分层运营]]
|
||||
- [[用户LTV]]
|
||||
- [[SOP自动化]]
|
||||
|
||||
## Related Entities
|
||||
- [[Marketing Private Domain Operator]]
|
||||
23
wiki/concepts/直播电商.md
Normal file
23
wiki/concepts/直播电商.md
Normal file
@@ -0,0 +1,23 @@
|
||||
---
|
||||
title: "直播电商"
|
||||
type: concept
|
||||
tags: [抖音, 电商, 直播]
|
||||
date: 2026-04-21
|
||||
---
|
||||
|
||||
## Definition
|
||||
通过直播间进行商品展示、销售和转化的电商模式。
|
||||
|
||||
## Core Metrics
|
||||
- **GPM**:每千次观看带来的 GMV,核心绩效指标
|
||||
- **完播率**:观众停留时长指标
|
||||
- **转化率**:观看人数到下单人数的比例
|
||||
|
||||
## Workflow
|
||||
- 开场留存钩 → 产品展示 → 紧迫成交 → 追加销售
|
||||
- 每15分钟一个流量峰值周期
|
||||
|
||||
## Related
|
||||
- [[抖音]] — 平台
|
||||
- [[内容矩阵]] — 内容策略
|
||||
- [[Marketing Douyin Strategist]] — 智能体
|
||||
21
wiki/concepts/直通车.md
Normal file
21
wiki/concepts/直通车.md
Normal file
@@ -0,0 +1,21 @@
|
||||
---
|
||||
title: "直通车"
|
||||
type: concept
|
||||
tags: [淘宝, 天猫, 广告, 搜索广告, 电商]
|
||||
sources: [[raw/Agent/agency-agents/marketing/marketing-china-ecommerce-operator.md]]
|
||||
date: 2026-04-21
|
||||
---
|
||||
|
||||
## Definition
|
||||
淘宝/天猫的搜索广告投放工具,通过关键词竞价获得搜索结果页的展示位置。
|
||||
|
||||
## Core Features
|
||||
- 关键词竞价:按点击付费(CPC)模式
|
||||
- 质量分优化:通过点击率(CTR)提升质量分
|
||||
- 目标ROAS:最低3:1的回报率要求
|
||||
|
||||
## Strategy
|
||||
- 聚焦高转化长尾词
|
||||
- 40%预算分配给已验证转化词
|
||||
- 30%分配给测试新词
|
||||
- 30%分配给品牌词
|
||||
43
wiki/concepts/短视频剪辑.md
Normal file
43
wiki/concepts/短视频剪辑.md
Normal file
@@ -0,0 +1,43 @@
|
||||
---
|
||||
title: "短视频剪辑"
|
||||
type: concept
|
||||
tags: [video-editing, short-video, post-production]
|
||||
aliases: [Short-Video Editing]
|
||||
last_updated: 2026-04-21
|
||||
---
|
||||
|
||||
## Definition
|
||||
涵盖从拍摄到成片的完整后期制作流程,包括素材管理、粗剪、精剪、调色、音频处理、字幕制作和平台适配。
|
||||
|
||||
## Core Principles
|
||||
- **叙事优先**:软件是工具,叙事是灵魂——先弄清楚要讲什么故事,再开始剪辑
|
||||
- **每帧必有其用**:Every frame must earn its place,不必要的镜头应当删除
|
||||
- **节奏感**:会使用"停顿"和"呼吸感"创造节奏,分隔业余与专业剪辑师
|
||||
- **减法优先**:减去镜头而不影响理解,才说明剪辑到位
|
||||
|
||||
## Key Process
|
||||
1. 需求分析与素材评估
|
||||
2. 粗剪——构建叙事骨架
|
||||
3. 精剪——打磨细节
|
||||
4. 调色、音频与字幕
|
||||
5. 导出与多平台适配
|
||||
|
||||
## Success Metrics
|
||||
- 完播率 > 品类平均 1.5 倍
|
||||
- 技术标准:无过曝/欠曝、无焦点失误、无音视频不同步
|
||||
- 剪辑效率:模板化后 3 分钟视频 < 45 分钟
|
||||
|
||||
## Related Concepts
|
||||
- [[调色分级]]
|
||||
- [[音频工程]]
|
||||
- [[运动图形]]
|
||||
- [[字幕设计]]
|
||||
- [[AI辅助剪辑]]
|
||||
- [[卡点]]
|
||||
- [[速度曲线]]
|
||||
|
||||
## Tools
|
||||
- [[CapCut Pro]]:日均短视频首选
|
||||
- [[Adobe Premiere Pro]]:商业项目首选
|
||||
- [[DaVinci Resolve]]:调色首选
|
||||
- [[Final Cut Pro]]:Mac 用户首选
|
||||
69
wiki/concepts/社群分层运营.md
Normal file
69
wiki/concepts/社群分层运营.md
Normal file
@@ -0,0 +1,69 @@
|
||||
---
|
||||
title: "社群分层运营"
|
||||
type: concept
|
||||
tags: [社群运营, 用户分层, 私域运营, 转化优化]
|
||||
sources: [[raw/Agent/agency-agents/marketing/marketing-private-domain-operator.md]]
|
||||
date: 2026-04-21
|
||||
---
|
||||
|
||||
## Definition
|
||||
社群分层运营是根据用户价值、行为和需求将社群划分为不同层级,针对性设计运营策略的精细化运营方法。核心逻辑是"不同价值用户需要不同的运营投入和触达策略"。
|
||||
|
||||
## Tier System
|
||||
|
||||
### 获客群(Welcome Perks Group)
|
||||
- **定位**:新用户沉淀,低成本试用引导
|
||||
- **入群条件**:新添加好友自动邀请
|
||||
- **上限**:200 人
|
||||
- **自动化 SOP**:欢迎消息→自我介绍→价值内容→活动触达→转化跟进
|
||||
|
||||
### 福利群(Perks Group)
|
||||
- **定位**:稳定触达,提供限时福利驱动复购
|
||||
- **内容策略**:70% 价值内容 + 30% 促销内容
|
||||
- **日运营**:早安问候→产品种草→互动活动→闪购→晚安预告
|
||||
- **淘汰机制**:观察期用户、长期不互动用户定期清理
|
||||
|
||||
### VIP 群(VIP Member Group)
|
||||
- **定位**:高价值用户,专属服务驱动高客单
|
||||
- **入群条件**:累计消费 > 1000 OR tagged VIP
|
||||
- **上限**:100 人
|
||||
- **专属权益**:专属折扣、新品优先购买、1v1 顾问服务
|
||||
- **转化率**:VIP 社群转化率 12.3%,福利群仅 3.1%(4 倍差距)
|
||||
|
||||
### 超级用户群(Super User Group)
|
||||
- **定位**:核心KOL,用户产生内容驱动口碑
|
||||
- **入群条件**:高互动、高消费、自愿申请
|
||||
- **运营策略**:产品共创、优先体验、荣誉激励
|
||||
|
||||
## Community SOP Template
|
||||
|
||||
### 每日内容日历
|
||||
| 时间 | 内容类型 | 示例 | 目的 |
|
||||
|------|---------|------|------|
|
||||
| 08:30 | 早安问候 | 天气 + 护肤小贴士 | 建立每日习惯 |
|
||||
| 10:00 | 产品种草 | 深度单品测评 | 价值传递 |
|
||||
| 12:30 | 互动活动 | 投票/话题讨论/猜价格 | 提升活跃度 |
|
||||
| 15:00 | 闪购 | 小程序闪购链接(限30份) | 驱动转化 |
|
||||
| 19:30 | 买家秀 | 精选买家照片+点评 | 社交证明 |
|
||||
| 21:00 | 晚安福利 | 明日预告+口令红包 | 次日留存 |
|
||||
|
||||
### 每周活动
|
||||
| 星期 | 活动 | 目的 |
|
||||
|------|------|------|
|
||||
| 周一 | 新品抢先购 | VIP 专属权益 |
|
||||
| 周三 | 直播预览+专属券 | 提升直播观看 |
|
||||
| 周五 | 周末囤货日 | 驱动周未消费 |
|
||||
| 周日 | 周热卖榜单 | 数据复盘+下周预告 |
|
||||
|
||||
## Key Metrics
|
||||
- 社群 7 天活跃率 >35%
|
||||
- 社群用户月度复购率 >15%
|
||||
|
||||
## Related Concepts
|
||||
- [[私域运营]]
|
||||
- [[用户生命周期管理]]
|
||||
- [[SCRM]]
|
||||
- [[用户LTV]]
|
||||
|
||||
## Related Entities
|
||||
- [[Marketing Private Domain Operator]]
|
||||
67
wiki/concepts/私域运营.md
Normal file
67
wiki/concepts/私域运营.md
Normal file
@@ -0,0 +1,67 @@
|
||||
---
|
||||
title: "私域运营"
|
||||
type: concept
|
||||
tags: [电商, 客户运营, 微信, CRM, 复购, WeCom, 社群运营]
|
||||
sources: [[raw/Agent/agency-agents/marketing/marketing-china-ecommerce-operator.md]], [[raw/Agent/agency-agents/marketing/marketing-private-domain-operator.md]]
|
||||
date: 2026-04-21
|
||||
---
|
||||
|
||||
## Definition
|
||||
通过微信等私域渠道进行客户运营,实现重复购买和客户生命周期价值最大化。核心是建立信任作为资产,用户留在私域是因为持续获得超出预期的价值。
|
||||
|
||||
## Core Components
|
||||
- 微信 CRM:建立客户数据库进行直接沟通
|
||||
- 会员体系:跨平台积分/权益共享激励复购
|
||||
- 社群运营:微信群和小程序进行闪购和专属发布
|
||||
- 客户生命周期管理:根据购买历史和价值分层沟通
|
||||
- [[SCRM]]:社交客户关系管理,私域运营的系统化引擎
|
||||
|
||||
## WeCom Implementation
|
||||
企业微信(WeCom)私域运营核心方法论:
|
||||
- **SCRM 系统配置**:渠道活码、自动标签、客户分组、自动化工作流
|
||||
- **社群分层运营**:获客群→福利群→VIP群→超级用户群,针对性运营
|
||||
- **用户生命周期管理**:0-7天激活→7-30天培育→30-90天成熟→90+天唤醒
|
||||
- **全漏斗转化**:公域获客→私域沉淀→社群培育→私聊成交→复购裂变
|
||||
|
||||
## Key Metrics
|
||||
- 月度好友净增长 >15%
|
||||
- 社群 7 天活跃率 >35%
|
||||
- 新客 7 天首购转化率 >20%
|
||||
- 社群用户月度复购率 >15%
|
||||
- 私域用户 [[用户LTV]] 是公域用户 3 倍以上
|
||||
- 单用户私域获客成本 <5 元
|
||||
- 私域 GMV 占比 >20%
|
||||
|
||||
## Compliance Rules
|
||||
- 严禁未经授权第三方插件
|
||||
- 群发消息每月不超过 4 次,朋友圈不超过每天 1 条
|
||||
- 无用户同意不得拉群或群发
|
||||
- 退群或删除好友不得再联系
|
||||
- 内容比例:70%+ 价值内容,30% 以内促销内容
|
||||
|
||||
## Kuaishou Implementation
|
||||
在快手平台实现私域运营的核心策略:
|
||||
- **粉丝团运营**:快手粉丝团功能建立核心用户社群,提供专属内容和优惠
|
||||
- **微信导流**:将快手粉丝引导至微信私人领域实现更高价值变现
|
||||
- **老铁关系深化**:基于信任的老铁关系驱动高复购率(30%+)
|
||||
- **专属福利机制**:为私域用户提供独家产品和价格优惠
|
||||
|
||||
## Key Metrics (Kuaishou)
|
||||
- 粉丝团月增长 15%+
|
||||
- 私域转化率 5-10%+
|
||||
- 老铁复购率 30%+
|
||||
|
||||
## Related Concepts
|
||||
- [[老铁经济]]
|
||||
- [[下沉市场]]
|
||||
- [[粉丝团]]
|
||||
- [[直播电商]]
|
||||
- [[用户LTV]]
|
||||
- [[SOP自动化]]
|
||||
- [[社群分层运营]]
|
||||
|
||||
## Related Entities
|
||||
- [[WeCom-Learning]]
|
||||
- [[Kuaishou]]
|
||||
- [[Marketing Kuaishou Strategist]]
|
||||
- [[Marketing Private Domain Operator]]
|
||||
24
wiki/concepts/算法优先思维.md
Normal file
24
wiki/concepts/算法优先思维.md
Normal file
@@ -0,0 +1,24 @@
|
||||
---
|
||||
title: "算法优先思维"
|
||||
type: concept
|
||||
tags: [抖音, 短视频, 算法]
|
||||
date: 2026-04-21
|
||||
---
|
||||
|
||||
## Definition
|
||||
以平台算法优先级为导向的内容优化思维。
|
||||
|
||||
## Algorithm Priority Order
|
||||
1. 完播率(Completion Rate)— 最重要
|
||||
2. 点赞率(Like Rate)
|
||||
3. 评论率(Comment Rate)
|
||||
4. 分享率(Share Rate)
|
||||
|
||||
## Implications
|
||||
- 前3秒决定一切:冲突/悬念/价值先行
|
||||
- 视频长度需匹配内容类型:教育类30-60秒,剧情类15-30秒,直播切片15秒
|
||||
- 不可引导外部平台(触发限流)
|
||||
|
||||
## Related
|
||||
- [[内容矩阵]] — 内容策略
|
||||
- [[直播电商]] — 应用场景
|
||||
42
wiki/concepts/粉丝团.md
Normal file
42
wiki/concepts/粉丝团.md
Normal file
@@ -0,0 +1,42 @@
|
||||
---
|
||||
title: "粉丝团"
|
||||
type: concept
|
||||
tags: [kuaishou, community, fan-group]
|
||||
aliases: [Kuaishou Fan Group, 快手粉丝团]
|
||||
last_updated: 2026-04-21
|
||||
---
|
||||
|
||||
## Definition
|
||||
粉丝团是快手平台的社群功能,允许创作者建立和管理核心粉丝群体,提供专属互动和商业转化渠道。
|
||||
|
||||
## Core Functions
|
||||
- **身份标识**:粉丝获得专属标识,强化归属感
|
||||
- **专属内容**:粉丝可观看专属视频和预热内容
|
||||
- **优先互动**:粉丝在直播间获得特殊标识和互动权限
|
||||
- **商业转化**:通过粉丝团发布专属优惠和新品预告
|
||||
|
||||
## Operational Framework
|
||||
1. **入团门槛**:关注+点亮粉丝灯牌
|
||||
2. **等级体系**:不同等级享受不同权益
|
||||
3. **日常运营**:每日互动、问题回复、粉丝福利
|
||||
4. **直播联动**:直播间专属互动和限时优惠
|
||||
|
||||
## Success Metrics
|
||||
- 粉丝团月增长 15%+
|
||||
- 粉丝团活跃度 30%+
|
||||
- 粉丝团用户复购率 40%+
|
||||
|
||||
## Strategic Value
|
||||
- 建立核心用户社群
|
||||
- 降低获客成本
|
||||
- 提高用户生命周期价值
|
||||
- 为直播带货积累精准受众
|
||||
|
||||
## Related Concepts
|
||||
- [[老铁经济]]
|
||||
- [[私域运营]]
|
||||
- [[下沉市场]]
|
||||
|
||||
## Related Entities
|
||||
- [[Kuaishou]]
|
||||
- [[老铁]]
|
||||
46
wiki/concepts/老铁经济.md
Normal file
46
wiki/concepts/老铁经济.md
Normal file
@@ -0,0 +1,46 @@
|
||||
---
|
||||
title: "老铁经济"
|
||||
type: concept
|
||||
tags: [kuaishou, community, trust, social-commerce]
|
||||
aliases: [兄弟经济, 老铁关系]
|
||||
last_updated: 2026-04-21
|
||||
---
|
||||
|
||||
## Definition
|
||||
老铁经济是快手平台核心商业模式,基于创作者与粉丝之间的信任和忠诚关系驱动购买决策和复购行为。
|
||||
|
||||
## Core Principles
|
||||
- **信任优先**:在销售之前必须建立真实的情感连接
|
||||
- **真实性至上**:内容必须真诚,不能有营销感
|
||||
- **长期关系**:注重粉丝生命周期价值而非单次交易
|
||||
- **社区归属**:粉丝团机制创造强烈的社群认同
|
||||
|
||||
## Key Metrics
|
||||
- 3%+ 直播转化率(行业平均)
|
||||
- 30%+ 复购率
|
||||
- 15%+ 粉丝团月增长
|
||||
- 38分钟+ 平均观看时长
|
||||
|
||||
## Mechanism
|
||||
1. **信任建立**:通过真实内容、工厂探访、产品测试建立可信度
|
||||
2. **关系深化**:粉丝团运营、评论互动、私域转化
|
||||
3. **商业转化**:基于信任的直播带货,强调产品真实价值
|
||||
4. **口碑传播**:老铁主动在评论区维护品牌/创作者
|
||||
|
||||
## Platform Differences
|
||||
| Dimension | 老铁经济(快手) | 抖音电商 |
|
||||
|-----------|------------------|---------|
|
||||
| 核心驱动力 | 信任驱动 | 内容/娱乐驱动 |
|
||||
| 用户关系 | 深度老铁忠诚 | 浅层算法依赖 |
|
||||
| 购买决策 | 基于信任的复购 | 冲动发现购买 |
|
||||
| 增长模式 | 慢建立,长期忠诚 | 快爆发,难留存 |
|
||||
|
||||
## Related Concepts
|
||||
- [[下沉市场]]
|
||||
- [[私域运营]]
|
||||
- [[直播电商]]
|
||||
- [[粉丝团]]
|
||||
|
||||
## Related Entities
|
||||
- [[Kuaishou]]
|
||||
- [[老铁]]
|
||||
46
wiki/concepts/调色分级.md
Normal file
46
wiki/concepts/调色分级.md
Normal file
@@ -0,0 +1,46 @@
|
||||
---
|
||||
title: "调色分级"
|
||||
type: concept
|
||||
tags: [color-grading, post-production, video-editing]
|
||||
aliases: [Color Grading, Color Correction]
|
||||
last_updated: 2026-04-21
|
||||
---
|
||||
|
||||
## Definition
|
||||
通过一级校色(还原真实)和二级调色(风格化处理)实现视频视觉统一和美学表达的技术。
|
||||
|
||||
## Two-Stage Workflow
|
||||
### Primary Correction(一级校色)——还原真实
|
||||
- 白平衡:色温(暖/冷)和色调(绿/品)
|
||||
- 曝光:整体亮度,使用直方图避免过曝/欠曝
|
||||
- 对比度:影响图像"清晰度"
|
||||
- 高光/阴影/白色/黑色:四向亮度微调
|
||||
- 饱和度 vs 鲜艳度:饱和度全局调整,鲜艳度保护肤色
|
||||
|
||||
### Secondary Correction(二级调色)——风格化处理
|
||||
- HSL 调整:独立调整特定颜色的色相/饱和度/亮度
|
||||
- 曲线:RGB 和色调曲线精确控制
|
||||
- Qualifier / 遮罩:隔离特定区域或颜色范围进行局部调色
|
||||
- 肤色校正:使用矢量示波器确保肤色落在"肤色线"上
|
||||
|
||||
## LUT Usage
|
||||
- **LUT**:Look-Up Table,色彩查找表,本质是预设的色彩映射
|
||||
- **使用原则**:LUT 是起点而非终点,应用后必须微调参数
|
||||
- **LUT 强度**:建议 60%-80% 透明度,100% 通常过重
|
||||
- 技术 LUT:转换 LOG 素材到标准色彩空间(如 S-Log3 到 Rec.709)
|
||||
- 创意 LUT:添加风格化外观
|
||||
|
||||
## Stylistic Grading Directions
|
||||
- **Cinematic(电影感)**:低饱和 + 青橙对比(阴影青/高光橙)+ 轻微颗粒
|
||||
- **Japanese Fresh(日式清新)**:高亮度 + 低对比 + 青绿色调 + 提亮阴影
|
||||
- **Cyberpunk(赛博朋克)**:高饱和霓虹(品红/青/蓝)+ 高对比 + 压黑
|
||||
- **Vintage Film(复古胶片)**:黄绿色调 + 红棕阴影 + 颗粒 + 轻微衰减
|
||||
- **Morandi(莫兰迪)**:低饱和 + 灰色调 + 内敛优雅
|
||||
|
||||
## Consistency Rule
|
||||
色彩风格必须单视频内统一、系列视频统一。
|
||||
|
||||
## Connections
|
||||
- [[短视频剪辑]] ← 核心环节 ← [[调色分级]]
|
||||
- [[DaVinci Resolve]] ← 行业标准工具 ← [[调色分级]]
|
||||
- [[LUT]] ← 技术载体 ← [[调色分级]]
|
||||
20
wiki/concepts/跨店满减.md
Normal file
20
wiki/concepts/跨店满减.md
Normal file
@@ -0,0 +1,20 @@
|
||||
---
|
||||
title: "跨店满减"
|
||||
type: concept
|
||||
tags: [电商, 大促, 营销机制, 淘宝, 天猫]
|
||||
sources: [[raw/Agent/agency-agents/marketing/marketing-china-ecommerce-operator.md]]
|
||||
date: 2026-04-21
|
||||
---
|
||||
|
||||
## Definition
|
||||
多店铺联合促销活动,买家跨店铺凑单达到一定金额可享受减免。
|
||||
|
||||
## Core Features
|
||||
- 联合促销:多个店铺参与,形成流量互引
|
||||
- 金额门槛:设置满减梯度(如满300减50)
|
||||
- 平台支持:天猫/淘宝大促的标准玩法
|
||||
|
||||
## Strategy
|
||||
- 引流款配合:用低价引流款引导跨店凑单
|
||||
- 门槛设计:让消费者刚好超过门槛值
|
||||
- 利润保护:满减成本由参与的店铺分摊
|
||||
47
wiki/concepts/运动图形.md
Normal file
47
wiki/concepts/运动图形.md
Normal file
@@ -0,0 +1,47 @@
|
||||
---
|
||||
title: "运动图形"
|
||||
type: concept
|
||||
tags: [motion-graphics, vfx, video-editing]
|
||||
aliases: [Motion Graphics, VFX, Visual Effects]
|
||||
last_updated: 2026-04-21
|
||||
---
|
||||
|
||||
## Definition
|
||||
通过关键帧动画、文字动画、粒子特效、绿幕抠像等技术增强视频视觉表现力的技术总称。
|
||||
|
||||
## Keyframe Animation(关键帧动画)
|
||||
- **核心概念**:定义起始和结束状态,软件在两者之间插值生成运动
|
||||
- 常见动画属性:位置、缩放、旋转、透明度
|
||||
- **缓动曲线(关键细节)**:线性运动看起来"机械";缓入/缓出才自然——贝塞尔曲线是灵魂
|
||||
- 弹性/回弹效果:对象略微超过终点然后弹回,增加活泼感
|
||||
|
||||
## Text Animation(文字动画)
|
||||
- 逐字揭示 / 打字机效果:适合悬疑、科技感文案
|
||||
- 弹入进场:文字从画面外弹入,适合活泼风格
|
||||
- 手写揭示:笔画逐步绘制,适合艺术和教育内容
|
||||
- 故障文字:文字抖动 + 色差,适合科技/赛博朋克美学
|
||||
- 3D 文字旋转:增加空间深度和高级感
|
||||
- **短视频文字动画规则**:动画持续时间 0.3-0.5 秒;太慢拖慢节奏,太快看不清
|
||||
|
||||
## Particle Effects(粒子特效)
|
||||
- 常见用途:烟花、火花、尘埃、光斑、雪、萤火虫
|
||||
- CapCut:内置粒子效果贴纸,一键应用
|
||||
- After Effects / Fusion:Particular 等插件可高度自定义粒子系统
|
||||
- **原则**:粒子特效增强氛围,不应喧宾夺主
|
||||
|
||||
## Green Screen / Keying(绿幕抠像)
|
||||
- 拍摄技巧:均匀打光无褶皱;主体与绿幕保持足够距离避免溢色
|
||||
- 软件抠像:CapCut 智能抠像(无需绿幕)、PR Ultra Key、DaVinci 色度键
|
||||
- 边缘清理:抠像后调整边缘柔和度、溢色抑制、边缘收缩,避免"绿色边缘"
|
||||
|
||||
## Speed Curves(速度曲线 / 速度 ramps)
|
||||
- 恒定速度变化:整个片段均匀加速或减速;适合延时/慢动作
|
||||
- **曲线速度 ramps(核心技巧)**:在单个片段内实现"快-慢-快"节奏
|
||||
- 经典速度模式:动作前慢动作蓄力 → 动作时刻常速 → 动作后慢动作回味
|
||||
- BGM 卡点 ramps:在 BGM 重拍恢复常速;重拍之间加速
|
||||
- **帧率要求**:慢动作需 60fps 或 120fps 拍摄;24/30fps 素材慢放会抖动
|
||||
|
||||
## Connections
|
||||
- [[短视频剪辑]] ← 核心环节 ← [[运动图形]]
|
||||
- [[速度曲线]] ← 技术子集 ← [[运动图形]]
|
||||
- [[AI辅助剪辑]] ← 加速 ← [[运动图形]]
|
||||
50
wiki/concepts/速度曲线.md
Normal file
50
wiki/concepts/速度曲线.md
Normal file
@@ -0,0 +1,50 @@
|
||||
---
|
||||
title: "速度曲线"
|
||||
type: concept
|
||||
tags: [speed-ramping, video-editing, motion]
|
||||
aliases: [Speed Ramping, Speed Curve, 速度 ramps]
|
||||
last_updated: 2026-04-21
|
||||
---
|
||||
|
||||
## Definition
|
||||
通过曲线控制实现视频片段内速度动态变化的技术,核心是"快-慢-快"的节奏变化,常与 BGM 卡点结合使用。
|
||||
|
||||
## Types
|
||||
|
||||
### Constant Speed Change(恒定速度变化)
|
||||
- 整个片段均匀加速或减速
|
||||
- 适合:延时摄影(加速)、慢动作(减速)
|
||||
- 局限性:缺乏节奏变化,视觉效果单调
|
||||
|
||||
### Curve Speed Ramping(曲线速度 ramps)——核心技巧
|
||||
- 在单个片段内实现"快-慢-快"节奏
|
||||
- **经典速度模式**:
|
||||
1. 动作前:慢动作蓄力(anticipation)
|
||||
2. 动作时刻:常速(action)
|
||||
3. 动作后:慢动作回味(aftermath)
|
||||
- 比恒定速度变化更具节奏感和戏剧性
|
||||
|
||||
### Beat-Synced Ramping(卡点加速)
|
||||
- 在 BGM 重拍处恢复常速
|
||||
- 在重拍之间加速
|
||||
- 创造与音乐完美同步的动态速度
|
||||
|
||||
## Frame Rate Requirements(帧率要求)
|
||||
- **关键**:慢动作需 60fps 或 120fps 拍摄
|
||||
- 24/30fps 素材慢放会明显抖动
|
||||
- 拍摄前确认素材用途,预留足够帧率
|
||||
|
||||
## Key Principles
|
||||
- **不是所有片段都需要 ramps**:只在关键时刻使用,过多使用会失去冲击力
|
||||
- **速度变化要平滑**:使用缓动曲线,避免生硬的速度跳变
|
||||
- **叙事优先**:速度变化服务故事,而非炫技
|
||||
|
||||
## Common Applications
|
||||
- 运动镜头:开始加速 → 动作瞬间停顿 → 结尾慢放
|
||||
- 产品展示:全面展示快速 → 细节特写慢放
|
||||
- Vlog 风格:行走加速 → 定点慢动作
|
||||
|
||||
## Connections
|
||||
- [[短视频剪辑]] ← 核心技术 ← [[速度曲线]]
|
||||
- [[卡点]] ← 常组合使用 ← [[速度曲线]]
|
||||
- [[运动图形]] ← 技术子集 ← [[速度曲线]]
|
||||
50
wiki/concepts/音频工程.md
Normal file
50
wiki/concepts/音频工程.md
Normal file
@@ -0,0 +1,50 @@
|
||||
---
|
||||
title: "音频工程"
|
||||
type: concept
|
||||
tags: [audio, post-production, video-editing]
|
||||
aliases: [Audio Engineering, Sound Design]
|
||||
last_updated: 2026-04-21
|
||||
---
|
||||
|
||||
## Definition
|
||||
短视频制作中涉及的所有音频处理技术,包括降噪、BGM 混音、音效设计、语音增强和最终响度标准化。
|
||||
|
||||
## Core Workflow
|
||||
|
||||
### Noise Reduction(降噪)
|
||||
- 环境噪声:先采集纯噪声样本(房间音),然后使用频谱减工具
|
||||
- 软件工具:Premiere DeNoise、DaVinci Fairlight 降噪、iZotope RX(专业级)、CapCut AI 降噪
|
||||
- **原则**:不要拉满降噪强度(会产生"水下人声"伪影),保留 10%-20% 环境音更自然
|
||||
- 风噪:高通滤波器设置 80-120Hz 切除低频风隆
|
||||
- De-essing:抑制 4kHz-8kHz 频段的齿音("sss"音)
|
||||
|
||||
### BGM Beat-Syncing(BGM 卡点)
|
||||
- 节奏标记:听 BGM 找到重拍/重音,在时间线上标记
|
||||
- 视觉卡点:在重拍/重音处剪切,获得视听冲击
|
||||
- 情感同步:将 BGM 情感变化(Intro→主歌→副歌、静→高潮)与内容情绪匹配
|
||||
- **不是每个拍子都需要剪切**:只在"强拍"和"转换点"卡点,每个拍子都切会造成节奏疲劳
|
||||
|
||||
### Sound Design(音效设计)
|
||||
- 环境音:增强场景沉浸感(街道喧哗、鸟鸣、雨声、咖啡馆氛围)
|
||||
- 动作音效:强化画面动作(转换"嗖"、文字弹出"叮"、点击"咔")
|
||||
- 情绪音效:设置情绪氛围(悬疑低频嗡嗡、喜剧弹簧蹦、惊喜"叮~")
|
||||
- **原则**:少即是多——关键时刻精确计时的音效优于密集堆叠
|
||||
|
||||
### Mix Balance(混音平衡)
|
||||
- **人声为王**:对话/旁白视频,人声 -12dB 到 -6dB,BGM -24dB 到 -18dB
|
||||
- 纯音乐视频(旅行/风景):BGM 可到 -12dB 到 -6dB
|
||||
- 音效电平:绝不比人声大,通常 -18dB 到 -12dB
|
||||
- 响度标准化:最终输出 -14 LUFS(匹配多数平台推荐)
|
||||
- 避免削波:峰值电平不超过 -1dBFS
|
||||
|
||||
### Voice Enhancement(语音增强)
|
||||
- EQ:200Hz 以下用高通 80-120Hz 切除泥泞低频;提升 2kHz-5kHz 清晰度范围
|
||||
- Compressor:驯服动态范围(比例 3:1-4:1,阈值按素材调整)
|
||||
- Reverb:轻微混响增加空间感,但短视频通常不需要或极轻微
|
||||
|
||||
## Critical Rule
|
||||
观众能忍受普通视觉,但无法忍受刺耳/噪音/音量跳跃的音频。
|
||||
|
||||
## Connections
|
||||
- [[短视频剪辑]] ← 核心环节 ← [[音频工程]]
|
||||
- [[卡点]] ← 技术关联 ← [[音频工程]]
|
||||
21
wiki/concepts/预售.md
Normal file
21
wiki/concepts/预售.md
Normal file
@@ -0,0 +1,21 @@
|
||||
---
|
||||
title: "预售"
|
||||
type: concept
|
||||
tags: [电商, 大促, 营销机制, 淘宝, 天猫, 京东]
|
||||
sources: [[raw/Agent/agency-agents/marketing/marketing-china-ecommerce-operator.md]]
|
||||
date: 2026-04-21
|
||||
---
|
||||
|
||||
## Definition
|
||||
大促前提前收取定金锁定购买的促销机制,帮助商家预测需求并提前备货。
|
||||
|
||||
## Core Features
|
||||
- 定金膨胀:支付定金可在正式购买时抵扣更多金额
|
||||
- 提前锁客:确保大促当天转化
|
||||
- 需求预测:基于预售数据指导备货
|
||||
|
||||
## Workflow
|
||||
1. 提前30天启动预售宣传
|
||||
2. 设置定金金额和膨胀倍数
|
||||
3. 监控预售数据调整备货
|
||||
4. 尾款支付后发货
|
||||
24
wiki/concepts/黄金3秒钩子.md
Normal file
24
wiki/concepts/黄金3秒钩子.md
Normal file
@@ -0,0 +1,24 @@
|
||||
---
|
||||
title: "黄金3秒钩子"
|
||||
type: concept
|
||||
tags: [抖音, 短视频, 创作技巧]
|
||||
date: 2026-04-21
|
||||
---
|
||||
|
||||
## Definition
|
||||
视频开头3秒内吸引观众注意力的技巧,决定观众是否继续观看。
|
||||
|
||||
## Hook Types
|
||||
- **冲突型**:"除非你看完这个,否则不要买XXX"
|
||||
- **价值型**:"花了XX元解决困扰我3年的问题"
|
||||
- **悬念型**:"发现了一个XX行业不想让你知道的秘密"
|
||||
- **共鸣型**:"有没有人和我一样,每次XXX的时候特别崩溃"
|
||||
|
||||
## Key Principles
|
||||
- 无铺垫,直接切入
|
||||
- 引发情绪反应(好奇、震惊、认同)
|
||||
- 与目标受众相关
|
||||
|
||||
## Related
|
||||
- [[算法优先思维]] — 理论基础
|
||||
- [[内容矩阵]] — 内容策略
|
||||
Reference in New Issue
Block a user