YouTube Analytics Connector

YouTube Analytics Connector — **Snowflake Native App by Windsor.ai**

**Turn every view, watch-hour and subscriber event from YouTube into query-ready Snowflake tables — no CSV exports, no BigQuery detour, just instant SQL.**<br/>The connector taps the official YouTube Reporting and Analytics APIs and streams the entire **YouTube field catalogue published by Windsor.ai (hundreds of metrics & dimensions across channel, video, traffic-source and revenue reports)** straight into fully-typed Snowflake tables.What the app delivers

- **Channel, video & playlist KPIs** – views, watch-time, average % viewed, likes, dislikes, comments, shares, subscribers gained/lost, estimated revenue and more.
- **Traffic-source & geography splits** – device, operating-system, referrer, playback location, country, region and language dimensions.
- **Typed, flat Snowflake schemas** – never VARIANT; ready for Looker, Tableau, Power BI or dbt.
- **100 % in-warehouse ELT** – jobs run inside your Snowflake account, inheriting existing RBAC and data-masking rules.
- **Hands-off maintenance** – OAuth refresh, historical back-fills, incremental loads, schema evolution and retry logic handled automatically.

Setup in < 5 minutes

1. **Install** “YouTube Analytics Connector by Windsor.ai” from Snowflake Marketplace.
2. **OAuth** to the Google account(s) that own your channels.
3. **Select** channels, historic look-back window and refresh cadence (hourly, daily or custom).
4. Data lands in the database/schema you specify; Windsor.ai keeps it fresh and consistent.

Sample tables & key fields (illustrative subset)

- **YT_CHANNEL_STATS_DAILY** — date, channel_id, channel_title, views, watch_time_minutes, subscribers_gained, subscribers_lost, estimated_revenue, rpm, cpm
- **YT_VIDEO_STATS_DAILY** — date, video_id, video_title, channel_id, views, likes, dislikes, comments, shares, average_view_duration, audience_retention_pct
- **YT_TRAFFIC_SOURCE_STATS_DAILY** — date, channel_id, traffic_source_type, views, watch_time_minutes, impressions, ctr
- **YT_GEOGRAPHY_STATS_DAILY** — date, channel_id, country_iso, views, watch_time_minutes, subscribers_gained, _load_timestamp
- **YT_PLAYLIST_DIM** — playlist_id, playlist_title, channel_id, item_count, created_time, updated_time

原始信息汇总

YouTube Analytics Connector 数据集概述

数据集基本信息

• 提供商: Windsor.ai
• 访问权限: 免费
• 访问模式: Unlimited Access
• 类型: Snowflake Native App

数据集功能

• 将YouTube分析数据转换为可直接查询的Snowflake表
• 通过官方YouTube Reporting和Analytics API获取数据
• 包含数百个指标和维度（涵盖频道、视频、流量来源和收入报告）

主要数据内容

关键指标

• 频道、视频和播放列表的KPI（观看次数、观看时长、平均观看百分比、点赞、不喜欢、评论、分享、订阅者增减、估计收入等）
• 流量来源和地理分布（设备、操作系统、引荐来源、播放位置、国家、地区和语言维度）

数据表结构

• YT_CHANNEL_STATS_DAILY: 日期、频道ID、频道标题、观看次数、观看时长分钟数、订阅者增加、订阅者减少、估计收入、RPM、CPM
• YT_VIDEO_STATS_DAILY: 日期、视频ID、视频标题、频道ID、观看次数、点赞、不喜欢、评论、分享、平均观看时长、观众保留百分比
• YT_TRAFFIC_SOURCE_STATS_DAILY: 日期、频道ID、流量来源类型、观看次数、观看时长分钟数、展示次数、CTR
• YT_GEOGRAPHY_STATS_DAILY: 日期、频道ID、国家ISO代码、观看次数、观看时长分钟数、订阅者增加、_load_timestamp
• YT_PLAYLIST_DIM: 播放列表ID、播放列表标题、频道ID、项目计数、创建时间、更新时间

技术特点

• 完全在仓库内进行ELT处理
• 自动处理OAuth刷新、历史回填、增量加载、模式演变和重试逻辑
• 继承现有的RBAC和数据掩码规则

业务应用场景

• 受众和流量来源分析
• 归因分析（可与Google Ads、Meta Ads、GA4等325+数据源结合）
• 创作者和活动基准测试

安全特性

• 通过Snowflake安全审查
• 基于角色的访问控制（RBAC）
• 推荐授予的权限包括账户级别权限、对象权限、连接和应用事件

提供商其他产品

• Instagram Connector
• HubSpot Connector
• LinkedIn Ads Connector
• LinkedIn Pages Connector
• Google Search Console Connector
• TikTok Organic Connector

支持与联系

• 销售邮箱: [e-mail]
• 支持链接: https://support.windsor.ai/