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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

Closest Supermetrics alternatives

Ranked by reviewed relationship first, then by the capabilities they share with Supermetrics.

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Supermetrics Pros & Cons

Key strengths and limitations to consider, drafted by an AI model from public sources

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, drafted by an AI model from public sources

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

Pricing

Model

flat rate

Starting Price

From $44 USD per month, billed yearly ($55 USD per month billed monthly)

Reliability (from Supermetrics’s status page)

62 / 100

worked out from the incidents Supermetrics declared

Outages per 30 days
0.7
4 in 180 days
Median time to resolve
4.6 h
Outage-free time (declared)
99.69%

Trend Fewer, 4 outages in the earlier 90 days, 0 in the later · Degraded 408.2 h per 30 days, shown, not scored

Based on Supermetrics’s own status page, last 180 days · coverage 95% · as of 17 Oct 2026. Self-reported by the vendor, not measured uptime. How this is worked out

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

Tools Supermetrics is commonly connected to, collected by an AI model from public sources:

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

Checked and not offered

4 capabilities that other campaign performance tools are built around, which Supermetrics does not appear to cover. Each was checked against Supermetrics's own documentation in three separate AI passes, and only a majority verdict is recorded — the count is on each row.

A gap is not a fault — a product that does one job well is a reasonable thing to buy. It is only expensive when you find out after signing.

Marketing Attribution (MTA/MMM) 14 of 15 campaign performance tools have it

Documentation index checked for native multi-touch attribution, attribution modeling, and media mix modeling.

Checked: https://docs.supermetrics.com/· 2 of 3 passes agreed it is absent

Mobile SDK 5 of 15 campaign performance tools have it

Documentation index checked for iOS, Android, or cross-platform mobile SDKs; native apps are described using direct tracking API endpoints.

Checked: https://docs.supermetrics.com/· 2 of 3 passes agreed it is absent

Cohort Analysis 4 of 15 campaign performance tools have it

Documentation checked for cohort analysis and cohort reporting.

Checked: https://docs.supermetrics.com/· 3 of 3 passes agreed it is absent

Data Transformation 3 of 15 campaign performance tools have it

Documentation index checked for dbt, Dataform, SQLMesh, and SQL-based transformation tooling.

Checked: https://docs.supermetrics.com/· 2 of 3 passes agreed it is absent

Runs alongside, not instead of

8 tools that overlap Supermetrics on paper and were judged to do a different job in practice. Worth knowing before a consolidation exercise deletes one of them. These judgements were drafted by an AI model, and most were accepted on its confidence rather than checked one by one; the reason is recorded against each pair.

Supermetrics + Adjust Adjust provides SDK-based mobile attribution and app analytics, while Supermetrics primarily moves marketing data into BI/warehouses, so Supermetrics may transport Adjust outputs but does not replace measurement. Supermetrics + Adobe Analytics Adobe Analytics is a digital analytics platform for behavior measurement and analysis, while Supermetrics primarily moves marketing-platform data into reporting destinations for cross-channel dashboards. Supermetrics + Adobe Customer Journey Analytics CJA is used to analyze customer journeys and product/web behavior, whereas Supermetrics is mainly an extraction/ELT layer for ad and marketing-source reporting data. Supermetrics + AppsFlyer AppsFlyer generates mobile attribution and measurement data while Supermetrics mainly moves marketing data into reporting tools, so Supermetrics typically consumes AppsFlyer outputs rather than replacing AppsFlyer. Supermetrics + Attribution Both can support marketing performance and attribution reporting, but Supermetrics is primarily a data-extraction/connector layer whereas an attribution platform typically adds tracking and modeling on top of the data. Supermetrics + Azure Synapse Supermetrics extracts marketing data, while Azure Synapse stores and transforms it for reporting, so they normally work together. Supermetrics + ClickHouse ClickHouse stores and analyzes large datasets while Supermetrics extracts and loads marketing data into reporting destinations. Supermetrics + Kochava Kochava measures mobile marketing performance while Supermetrics moves marketing data into reporting and analytics destinations.

8 more pairs reviewed and judged complementary.

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