广告营销工具
SEOSEO付费获客付费获客程序化广告网站变现程序化App 获客App 变现网站变现关键词研究搜索意图App 获客ROASCPAApp 变现CPCLTV联盟营销eCPMRPM零售媒体营销归因转化追踪创意情报MMPHeader BiddingDSPSSPRTB广告可见率填充率ASOSKAdNetworkARPDAU激励视频广告聚合联盟营销创意测试A/B 测试再营销相似受众广告优化品牌安全供应路径
SEOSEO付费获客付费获客程序化广告网站变现程序化App 获客App 变现网站变现关键词研究搜索意图App 获客ROASCPAApp 变现CPCLTV联盟营销eCPMRPM零售媒体营销归因转化追踪创意情报MMPHeader BiddingDSPSSPRTB广告可见率填充率ASOSKAdNetworkARPDAU激励视频广告聚合联盟营销创意测试A/B 测试再营销相似受众广告优化品牌安全供应路径

归因与分析

Supermetrics

付费

营销数据管道,把各广告与分析平台的数据同步到表格、BI、数据仓库,统一做跨渠道报表与归因。

分析数据管道连接器跨渠道报表

主要用途

Supermetrics removes the manual export step between advertising platforms and wherever you analyze data. You authenticate a source such as Google Ads, Meta, TikTok, or GA4, choose the dimensions and metrics you need, and Supermetrics delivers that data on a schedule into Google Sheets, Looker Studio, Excel, or a warehouse like BigQuery, Snowflake, or Redshift. It manages API quirks behind the scenes: token refreshes, schema changes, rate limits, currency normalization, and historical backfills. Because every channel lands in a consistent structure, teams can blend spend and conversion data across sources to build attribution views, pacing reports, and client dashboards that update without anyone touching a CSV. It is a plumbing layer, not an analytics product, so the insight still comes from how you model the unified data.

所在链路

Supermetrics sits between channel APIs and your reporting layer, feeding clean cross-channel data into the analytics and attribution stage.

核心功能

  • 100+ connectors for ad, social, analytics, and SEO platforms
  • Scheduled refreshes with historical backfill into sheets and BI tools
  • Warehouse and lake destinations including BigQuery, Snowflake, and Redshift
  • Automatic handling of auth tokens, schema changes, and currency conversion
  • Templated reports and query builder for non-technical users

适合谁用

  • Agencies consolidating many client accounts into shared dashboards
  • In-house teams building blended cross-channel attribution datasets
  • Analysts who need warehouse-ready marketing data without custom ETL

新手提示

  1. Start in Google Sheets or Looker Studio to learn the query builder before committing to a warehouse destination, which costs more and needs data modeling.
  2. Pricing scales with the number of data sources and query volume, so audit which connectors you actually need before upgrading tiers.
  3. Match the source's attribution window and time zone settings to your destination so blended numbers reconcile with each platform's native dashboard.
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相关基础概念

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