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Supermetrics

Supermetrics is a marketing data integration platform that pulls campaign and performance data from ad/analytics tools into destinations like spreadsheets, BI, and data warehouses for reporting and analysis.

Founded 2013 Helsinki, Finland 201-500 employees Series B Updated Feb 2026

Supermetrics Pros & Cons

Key strengths and limitations to consider

Strengths

  • Strong fit for Sheets/Looker Studio-based performance reporting
  • Broad connector library for common ad platforms
  • Predictable packaging for small teams and agencies

Limitations

  • Not a full transformation/governance platform like Adverity
  • Connector field coverage varies by source and endpoint
  • Complex enterprise modeling may require external tools (dbt)

Ideal For

Who benefits most from Supermetrics

Quick Analysis

Supermetrics competes in the marketing data integration / ELT for reporting space, focused on reliably extracting granular campaign data from ad, social, SEO, CRM, and analytics sources and loading it into common marketing reporting destinations (e.g., Google Sheets, Looker Studio) and warehouses (e.g., BigQuery, Snowflake). In practice, it is primarily a connector and managed data pipeline layer for campaign-performance reporting and downstream modeling, not a full marketing measurement suite.

Strengths include broad connector coverage, fast time-to-value for analysts building recurring performance reporting, and packaging that works for agencies managing many client accounts. Compared with Funnel.io and Windsor.ai, Supermetrics is typically stronger in “destination-first” workflows (Sheets/Looker Studio/Excel/warehouse) and in operationalizing refreshes for standardized dashboards; compared with Adverity, it is often simpler to deploy but can be less of a full-scale data management/transform hub for complex enterprise governance.

Buyers should shortlist Supermetrics if the main pain is manual exports and brittle scripts for cross-channel reporting and you need dependable scheduled refreshes into the tools your team already uses. If you need heavy transformation, a centralized data model, and advanced governance across many business units, also evaluate Adverity, Fivetran (plus dbt), or Stitch. Validate connector field coverage for your exact ad objects (e.g., conversion actions, video views), historical backfill limits, account quotas, and how the product handles schema changes and attribution fields before committing.

1

Agency consolidating Google Ads + Meta Ads into Looker Studio for 50+ clients

2

Ecommerce team loading paid media + GA4 into BigQuery for ROAS modeling

3

Marketing ops replacing CSV exports with scheduled Sheets refreshes for weekly QBRs

4

Growth team standardizing cross-channel spend and conversions in Snowflake

Usage-Based

Capabilities

Core Capabilities

Marketing Attribution (MTA/MMM) Business Intelligence / Reporting ETL / ELT

Pricing

Model

usage based

Key Features

  • Prebuilt connectors for ad, analytics, CRM, and ecommerce data sources
  • Data extraction into Google Sheets, Looker Studio, and Excel
  • Warehouse loading to BigQuery and Snowflake
  • Scheduled refreshes and automated reporting updates
  • API access for custom data pulls and pipeline automation
  • Multi-account/client management for agencies

Popular Integrations

Supermetrics works seamlessly with these tools:

Google Ads
Meta Ads
Google Analytics 4
Looker Studio
Google Sheets
Microsoft Excel
Google BigQuery
Snowflake
HubSpot

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