归因与分析
Funnel
营销数据采集与报表平台，自动从数百个广告与分析数据源汇集花费和转化数据，清洗后输出到看板、数据仓库或表格。
主要用途
Funnel is a managed marketing data hub that connects to advertising platforms, web analytics, CRMs, and commerce systems, then collects their metrics on a schedule into a single normalized store. It handles the unglamorous work of maintaining API connectors, converting currencies, deduplicating, and mapping inconsistent field names so that 'spend' means the same thing across every channel. From there you can send harmonized data to BI tools like Looker Studio or Power BI, push it into a warehouse such as BigQuery or Snowflake, or pull it into Google Sheets. Because it focuses on collection and transformation rather than attribution modeling, teams typically pair it with a downstream analytics or reporting layer.
所在链路
Funnel sits at the data-collection layer of the stack, feeding cleaned cross-channel marketing data into dashboards and warehouses.
核心功能
- Hundreds of pre-built connectors to ad and analytics platforms
- Automatic currency conversion and field harmonization
- Scheduled data refresh without manual exports
- Export to BI tools, warehouses, and spreadsheets
- Custom metrics and rules for normalizing channel data
适合谁用
- Teams consolidating spend across many ad channels
- Analysts who want clean data without building ETL
- Agencies reporting on multiple client accounts
新手提示
- Map each source's spend and conversion fields to shared dimensions early, or downstream reports will not reconcile.
- Decide whether you need warehouse export or just dashboards, since pricing scales with data sources and volume.
- It collects and cleans data but does not assign credit, so plan a separate attribution or BI layer.