AppsFlyer Connector
收藏Snowflake2025-08-21 更新2025-08-22 收录
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资源简介:
The AppsFlyer Connector, **powered by Windsor.ai**, delivers all your mobile attribution, marketing performance, and user engagement data directly into Snowflake, no pipelines required. Access **99 metrics** and **183 dimensions** in a fully structured, query-ready format for advanced campaign, channel, and user lifecycle analysis.
**1. Scope & value**
- **Complete attribution and engagement data**Stream installs, sessions, in-app events, and attribution details from AppsFlyer directly into the Snowflake database of your choice.
- **Query-ready on arrival**Fully typed tables (no VARIANT columns) load incrementally, enabling analysts to run attribution and performance analyses with plain SQL seconds after each load.
- **Runs 100% inside your account**The Native App executes in-warehouse, inheriting Snowflake’s security, governance, and role-based access controls.
- **Zero maintenance**Windsor.ai automatically handles schema evolution, backfills, retries, and rate limits so you can focus on extracting insights instead of managing pipelines.
**2. Sample tables & schemas**
- **APPSFLYER_EVENTS**(grain: event) – Sample fields: event_id, event_name, app_id, platform, media_source, campaign, event_time, event_value, _load_timestamp.
- **APPSFLYER_INSTALLS**(grain: install) – Sample fields: install_id, app_id, platform, media_source, campaign_id, install_time, country, device_type.
- **APPSFLYER_IN_APP_EVENTS**(grain: user in-app event) – Sample fields: event_id, user_id, app_id, event_name, revenue, currency, session_id, event_timestamp, _load_timestamp.
**3. Expected workflow for data consumers**
1. Install the AppsFlyer Connector.
2. Authenticate with AppsFlyer.
3. Pick your app(s).
4. Choose your destination database/schema (tables are created automatically).
5. Query and share – join with other marketing, attribution, and revenue data, feed dashboards, or securely share downstream via Snowflake Secure Share.
提供机构:
Windsor.ai
创建时间:
2025-08-19
原始信息汇总
AppsFlyer Connector 数据集概述
数据集提供方
- Windsor.ai
数据集描述
- 该数据集连接AppsFlyer数据至Snowflake,无需构建数据管道。
- 提供移动归因、营销绩效和用户参与度数据。
- 包含99个指标和183个维度,数据以完全结构化、查询就绪的格式提供。
数据表结构
- APPSFLYER_EVENTS(粒度:事件)
- 示例字段:event_id、event_name、app_id、platform、media_source、campaign、event_time、event_value、_load_timestamp
- APPSFLYER_INSTALLS(粒度:安装)
- 示例字段:install_id、app_id、platform、media_source、campaign_id、install_time、country、device_type
- APPSFLYER_IN_APP_EVENTS(粒度:用户应用内事件)
- 示例字段:event_id、user_id、app_id、event_name、revenue、currency、session_id、event_timestamp、_load_timestamp
主要功能
- 完整归因和参与数据:直接流式传输安装、会话、应用内事件和归因详情。
- 查询就绪:完全类型化的表(无VARIANT列),增量加载,支持普通SQL查询。
- 完全在账户内运行:本地应用在仓库内执行,继承Snowflake的安全性、治理和基于角色的访问控制。
- 零维护:自动处理模式演进、回填、重试和速率限制。
业务需求
- 营销活动绩效归因:准确衡量ROI,识别高性能合作伙伴,优化用户获取渠道的预算分配。
- 用户生命周期和留存分析:分析用户安装后的行为,包括会话频率、留存率和应用内购买。
- 跨渠道和跨平台洞察:与其他数据集(如CRM、广告支出或产品分析)集成,实现全面的客户获取和增长驱动分析。
安全性
- 通过Snowflake安全审查。
- 基于角色的访问控制。
- 推荐在安装后根据需要授予账户级别特权和对象特权。
数据刷新
- 静态数据
云区域可用性
- AWS:非洲(开普敦)、亚太(雅加达)、亚太(孟买)、亚太(大阪)等45个区域
许可证
- 免费
- 无限访问



