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SEOSEOPaid AcquisitionPaid acquisitionProgrammaticWebsite MonetizationProgrammaticApp UAApp MonetizationWebsite monetizationKeyword ResearchSearch IntentApp acquisitionROASCPAApp monetizationCPCLTVAffiliateeCPMRPMRetail MediaAttributionConversion TrackingCreative IntelMMPHeader BiddingDSPSSPRTBAd ViewabilityFill RateASOSKAdNetworkARPDAURewarded VideoAd MediationAffiliateCreative TestingA/B TestingRetargetingLookalike AudiencesCampaign OptimizationBrand SafetySupply Path

Attribution & Analytics

Supermetrics

Paid

Supermetrics is a marketing data pipeline that pulls metrics from advertising, social, analytics, and SEO platforms into spreadsheets, BI tools, data warehouses, and lakes. It maintains connectors for sources such as Google Ads, Meta, TikTok, LinkedIn, and GA4, handling authentication, schema mapping, scheduled refreshes, and historical backfills. Marketing and analytics teams use it to consolidate cross-channel spend and performance into one queryable dataset, avoiding manual exports and powering blended reporting, attribution models, and automated dashboards.

Analyticsdata pipelineconnectorscross-channel reportingdata warehouse

What it does

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.

Where it fits

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

Core features

  • 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

Best for

  • 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

Beginner notes

  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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Concepts behind this tool

Marketing Data Pipeline

The automated flow that moves advertising, web, and revenue data from source platforms into one warehouse so teams can report and model on a single source of truth.

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