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Data & Analytics
Supermetrics
Supermetrics logo
Data & Analytics

Supermetrics

Supermetrics is a data integration platform designed primarily for marketers, analysts, and data professionals. It solves the problem of data fragmentation by connecting various marketing, advertising, and analytics platforms to data destinations like Google Sheets, Looker Studio, Excel, BigQuery, and Snowflake. Users can automate the extraction, transformation, and loading (ETL) of data from over 100 sources including Google Analytics, Meta Ads, LinkedIn, TikTok, X (Twitter), and various CRM systems. The tool eliminates manual reporting tasks, enabling teams to build comprehensive dashboards and reports that consolidate cross-channel performance data. It is positioned as a reliable, no-code solution for centralizing marketing data to drive insights, save time, and support data-driven decision-making across organizations of all sizes.

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📊 At a Glance

Pricing
Paid
Reviews
No reviews
Traffic
≈1.5M visits/month (public web traffic estimate, Similarweb, March 2025)
Engagement
0🔥
0👁️
Categories
Data & Analytics
Business Intelligence

Key Features

Wide Data Source Connectivity

Connects to over 100 marketing, advertising, social media, and analytics platforms, including Google Marketing Platform, Meta Ads, LinkedIn, TikTok, X, Bing Ads, and many CRM and SEO tools.

Multi-Destination Support

Pushes data to various destinations like Google Sheets, Looker Studio, Excel, BigQuery, Snowflake, and PostgreSQL, fitting different user workflows from simple reporting to advanced data warehousing.

No-Code Query Builder & Scheduling

Provides an intuitive interface to select metrics, dimensions, and filters without writing SQL or code, and allows setting fully automated refresh schedules.

Data Blending & Transformation

Enables combining data from multiple sources into a single dataset or dashboard view, with basic transformation capabilities like calculated fields and data formatting.

Centralized Connection Management

Offers the Supermetrics Manager, a web-based portal to manage API credentials, monitor sync statuses, and control user access for all data pipelines.

Pricing

Supermetrics for Google Sheets

Starts at $99/month per connector
  • ✓Data transfer to Google Sheets
  • ✓Scheduled refreshes
  • ✓Access to one specific data source connector (e.g., Google Ads)
  • ✓Basic support
  • ✓Limited by rows of data per query

Supermetrics for Looker Studio

Starts at $99/month per connector
  • ✓Data transfer to Looker Studio
  • ✓Blending data from multiple sources in dashboards
  • ✓Access to one specific data source connector
  • ✓Scheduled refreshes
  • ✓Community support

Supermetrics for BigQuery / Snowflake

Contact sales
  • ✓High-volume data transfer to cloud data warehouses
  • ✓Access to multiple data source APIs
  • ✓Historical data backfills
  • ✓Enterprise-grade support and SLAs
  • ✓Advanced transformation options
  • ✓Dedicated account management

Traffic & Awareness

Monthly Visits
≈1.5M visits/month (public web traffic estimate, Similarweb, March 2025)
Global Rank
##12,483 global rank by traffic, Similarweb estimate
Bounce Rate
≈45% (Similarweb estimate, March 2025)
Avg. Duration
≈00:04:15 per visit (Similarweb estimate, March 2025)

Use Cases

1

Marketing Agency Reporting

Marketing agencies use Supermetrics to automate client reporting. They connect each client's various ad accounts and analytics platforms to Looker Studio or Google Sheets. This allows them to create standardized, white-labeled dashboards that update automatically, saving dozens of hours per month on manual data collection and enabling them to provide consistent, timely insights to all clients from a single tool.

2

Cross-Channel Performance Dashboard

In-house marketing teams build comprehensive performance dashboards. They blend cost and conversion data from Google Ads, Meta Ads, LinkedIn, and other channels into a single Looker Studio report. This provides leadership with a holistic view of marketing ROI, helps identify the best-performing channels and campaigns, and supports data-driven budget allocation decisions across the entire marketing mix.

3

Feeding a Marketing Data Warehouse

Data engineering and analytics teams use Supermetrics to pipe raw data from all marketing platforms into BigQuery or Snowflake. This creates a centralized, historical repository of marketing data. Analysts can then run complex SQL queries, build advanced attribution models, and combine marketing data with other business data (like sales from a CRM) for deeper analysis that isn't possible in standard reporting interfaces.

4

E-commerce Campaign Optimization

E-commerce managers connect their Google Analytics 4, Google Ads, and Meta Ads data to Google Sheets. They use Supermetrics to automatically pull daily performance data for product-level campaigns. This enables quick analysis of best-selling products, cost-per-acquisition trends, and inventory planning, allowing for rapid bid adjustments and creative optimizations based on near-real-time data.

5

SEO & Content Performance Tracking

Content and SEO teams integrate data from Google Search Console, Google Analytics, and Ahrefs/SEMrush into a single dashboard. They track keyword rankings, organic traffic, and engagement metrics for their content portfolio. This helps them measure the impact of SEO efforts, identify high-performing topics, and report on the business value of organic search to stakeholders.

How to Use

  1. Step 1: Sign up for a Supermetrics account on their website and select a plan that fits your data source and destination needs.
  2. Step 2: Choose your primary data destination (e.g., Google Sheets, Looker Studio, Excel, BigQuery) and install or connect the corresponding Supermetrics add-on, extension, or connector.
  3. Step 3: Within your chosen destination (like a Google Sheet), launch the Supermetrics sidebar. Authenticate and grant access to your data sources (e.g., Google Ads, Facebook Ads, Google Analytics 4).
  4. Step 4: Use the query builder interface to select data sources, choose metrics (e.g., impressions, clicks, cost), dimensions (e.g., date, campaign, country), and set filters and date ranges for your report.
  5. Step 5: Configure the data refresh schedule (e.g., daily, weekly) to automate updates, ensuring your reports and dashboards always have the latest data without manual intervention.
  6. Step 6: Build visualizations and dashboards in your BI tool (like Looker Studio) using the now-centralized data, combining metrics from multiple platforms into a single view.
  7. Step 7: Share the automated reports or dashboards with stakeholders, or use the centralized data in BigQuery/Snowflake for more advanced analysis and modeling by your data team.
  8. Step 8: Monitor data pipelines and manage connections through the Supermetrics Manager web interface to handle credentials, check sync status, and manage team access.

Reviews & Ratings

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At a Glance

Pricing Model
Paid
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