Supermetrics is one of the most well-known marketing data tools on the market. But is it the right fit for your team in 2026? In this review, we break down exactly what Supermetrics does, how much it really costs (including the hidden fees), what real users love and hate about it, and whether it’s worth your budget.

What is Supermetrics?

Supermetrics is a marketing data pipeline tool that pulls data from advertising platforms, analytics tools, social media, and ecommerce systems, and pushes it into destinations where you can analyze and visualize it, like Google Sheets, Looker Studio, Excel, BigQuery, or Snowflake.

Founded by Mikael Thuneberg in 2013 (the concept dates back to 2009), Supermetrics is headquartered in Helsinki, Finland. The company has around 354 employees across offices in Finland and Lithuania, and serves more than 200,000 organizations in 120 countries.

Supermetrics has raised approximately €43.5 million in venture funding:

• Series A (2017): €3.5 million, led by OpenOcean
• Series B (2020): €40 million, led by Highland Europe and IVP

The company surpassed €50 million in annual revenue in 2022 with a 40% year-over-year growth rate.

How Does Supermetrics Work?

Supermetrics works as a connector between your marketing platforms and your reporting/analysis destinations. The workflow is straightforward:

1. Connect your data sources — Facebook Ads, Google Analytics, LinkedIn, HubSpot, Shopify, and 100+ others
2. Choose your destination — where do you want the data? Google Sheets, Looker Studio, BigQuery, Excel, Snowflake, or others
3. Build your queries — select the metrics, dimensions, date ranges, and filters you need
4. Schedule refreshes — set automatic data updates (daily, hourly, or weekly depending on your plan)

Supermetrics doesn’t store your data permanently. It acts as a bridge, fetching data from APIs and delivering it to your chosen destination on a schedule.

Supermetrics Key Features (2026)

100+ Data Source Connectors

Supermetrics connects to over 100 marketing platforms, including Google Ads, Meta Ads, Google Analytics 4, LinkedIn Ads, TikTok Ads, HubSpot, Shopify, Mailchimp, and many more. The breadth of connectors is one of its strongest selling points.

Multiple Destinations

You can push data to Google Sheets, Looker Studio (formerly Data Studio), Excel, BigQuery, Snowflake, Azure Synapse, Amazon Redshift, and other data warehouses. However, not all destinations are available on every plan (more on this in pricing).

AI Agents (New in January 2026)

Supermetrics introduced AI Agents that automate parts of the reporting and analysis workflow. These agents can explain marketing performance trends and provide actionable insights, moving beyond raw data delivery.

Chat with Data (March 2026)

Integrations with ChatGPT and Claude allow users to query and explore their marketing data using natural language. This is a significant step toward making data accessible to non-technical team members.

Connector Builder (February 2026)

A new tool that lets users create custom integrations for data sources that Supermetrics doesn’t natively support. This is useful for niche platforms or internal tools with APIs.

Data API

As of March 2026, Supermetrics’ Data API is available across all pricing tiers. Previously restricted to higher plans, this democratization allows developers on any plan to programmatically access marketing data.

Data Blending & Transformations

You can combine data from multiple sources (data blending) and apply custom transformations before it reaches your destination. Features like widget-level filters with AND/OR logic were added in early 2026. Note: advanced transformations are limited to higher-tier plans.

Scheduled Queries & Automated Refresh

Set up automated data refreshes on a schedule. Refresh frequency depends on your plan: weekly on the starter tier, daily on mid-tier, and hourly on premium plans.

Supermetrics Pricing (2026)

Supermetrics uses a tiered pricing model based on the number of data sources. All plans require annual commitments — there is no month-to-month billing option.

All plans include a 14-day free trial with full platform access.

US vs EU Pricing Differences

Supermetrics has different pricing between the US and EU markets. For example, the Growth plan in the US includes 6 data sources, while the same plan in the EU includes 7. To match the EU’s offering in the US, you’d pay approximately $214/month vs $184/month in Europe. Always check the pricing page from your region for the most accurate numbers.

Hidden Costs & What Actually Drives Your Bill

The plan pricing table only tells part of the story. Here’s what can make your Supermetrics bill grow quickly:

Real-World Cost Scenarios

To understand what Supermetrics actually costs in practice, here are three common scenarios:

Scenario 1: Solo Marketer

You need data from Google Ads, Meta Ads, and Google Analytics 4 in Google Sheets.

• Plan: Core ($49/month) might cover this if you only need one destination
• Annual cost: ~$588/year

Scenario 2: Small Agency (5 clients)

You manage 5 clients, each with Google Ads + Meta Ads accounts. You need data in both Google Sheets and Looker Studio.

• Plan: Growth ($177/month) for 5 data sources
• Extra destination (Sheets + Looker Studio): +$149–177/month
• Extra accounts: multiple client accounts add up
• Realistic annual cost: $4,000–$5,500/year

Scenario 3: Mid-Size Agency (15+ clients)

You manage 15+ clients across multiple platforms (Google Ads, Meta, LinkedIn, TikTok, GA4). You need data in Looker Studio + BigQuery.

• Plan: Premium ($299/month) or Enterprise
• Multiple destinations and accounts
• Realistic annual cost: $7,000–$10,000+/year

Supermetrics Pricing History: How Prices Changed Over Time

Supermetrics has changed its pricing structure multiple times since its early days. Based on archived pricing page data from 2022 to 2026:

• 2022: Supermetrics used a per-product pricing model (separate plans for Google Sheets, Looker Studio, etc.). Individual product plans started around $69–99/month
• 2023: The company began transitioning toward unified pricing with bundles. The pricing page grew significantly in complexity (from ~17KB to ~41KB of content)
• 2024: Full transition to the current per-source model. Page size jumped to ~54KB, indicating more plans and add-ons
• Late 2024–2025: Another major restructuring — the pricing page grew to ~67-74KB, reflecting the current Core/Growth/Premium/Enterprise tiers

The general trend: Supermetrics has moved from simple, product-specific plans to a more complex, source-based model. While the entry price ($49/month) appears lower than before, the add-on structure means most users end up paying more than they initially expect.

The “Two-Tool Workflow” Problem

This is the most important thing to understand about Supermetrics: it is not an all-in-one solution. It is exclusively a data pipeline tool.

Here’s what a typical daily workflow looks like with Supermetrics:

1. Log into Supermetrics to check that scheduled queries ran successfully
2. Open your destination tool (Looker Studio, Sheets, etc.)
3. Verify the data refreshed correctly
4. Build or update your visualizations in the destination tool
5. Apply formatting, branding, and design in the destination tool
6. Export or share reports from the destination tool
7. Troubleshoot any broken queries or API errors back in Supermetrics

This “two-tool workflow” means you’re managing two separate platforms, two sets of credentials, potentially two billing relationships, and two support channels. When something breaks, you need to figure out whether the issue is in Supermetrics or in your reporting tool.

Supermetrics Pros and Cons

Pros

• Massive connector library: 100+ data sources is one of the widest in the industry
• Flexible destinations: Works with Sheets, Looker Studio, Excel, BigQuery, Snowflake, and more
• Reliable data delivery: When it works, the automated scheduling is very dependable
• Strong scalability: Can handle enterprise-level data volumes and complex queries
• New AI capabilities (2026): AI Agents and chat-with-data features are genuinely useful additions
• Data API on all plans: Since March 2026, every plan includes API access
• Well-established brand: Large user base means extensive documentation and community support

Cons

• Per-source pricing escalates quickly: Costs compound as you add sources, destinations, users, and accounts
• Annual billing only: No monthly option — you’re locked in for a year
• Surprise billing: Users frequently report unexpected charges when exceeding plan limits
• No built-in visualization: You need a separate tool for dashboards and reports (the two-tool problem)
• Regional pricing inconsistencies: US and EU users get different features for similar-sounding plans
• Inconsistent support quality: Support experience varies significantly depending on your plan tier
• Data warehouse destinations restricted: BigQuery/Snowflake may require Enterprise tier

Who Should (and Shouldn’t) Use Supermetrics

Supermetrics is a good fit if:

• You already have a reporting/BI tool you love and just need data pipelines
• You’re a data team that works primarily in BigQuery or Snowflake
• You need connectors for niche or unusual marketing platforms
• You’re an enterprise with dedicated data engineers who can manage the pipeline
• You specifically need Google Sheets as your primary analysis tool

Supermetrics is NOT a good fit if:

• You’re a freelancer or small agency looking for an all-in-one solution
• You want to build and share visual reports without managing multiple tools
• You’re on a tight budget and need predictable monthly costs
• You need white-label client reporting (you’ll need a separate tool for this)
• You want month-to-month flexibility without annual commitments

What Real Users Say: Reviews & Ratings

What users praise most:

• Wide range of connectors — “covers practically every platform we use”
• Reliable scheduled data refreshes
• Good Google Sheets integration specifically
• Helpful for teams already using Looker Studio

What users complain about most:

• Pricing feels deceptive — “the advertised price is just the starting point”
• Annual lock-in with no monthly option
• Support quality depends heavily on which tier you’re paying for
• Learning curve for non-technical users
• Occasional API errors and broken queries that require manual intervention

Use Cases: Supermetrics with Google Sheets, Looker Studio & BigQuery

Supermetrics with Google Sheets

This is Supermetrics’ most popular use case. You install the Supermetrics add-on for Google Sheets, then create queries that pull marketing data directly into spreadsheet cells. You can schedule automatic refreshes and build custom reports using native Sheets features like charts and pivot tables.

Best for: Solo marketers, analysts who love spreadsheets, teams that already work in Google Sheets daily.

Supermetrics with Looker Studio

Supermetrics acts as a community connector for Looker Studio, adding 100+ data sources beyond what Google natively supports. You connect Supermetrics as a data source inside Looker Studio, then build dashboards using Looker’s drag-and-drop interface.

Best for: Teams that want free dashboarding (Looker Studio is free) but need more data sources than Google provides natively.

Supermetrics with BigQuery or Snowflake

For data teams and enterprises, Supermetrics can push marketing data into cloud data warehouses. This enables advanced analytics, cross-platform attribution modeling, and integration with other business data. Note: data warehouse destinations may require Premium or Enterprise plans.

Best for: Data engineering teams, companies building a marketing data warehouse, enterprise analytics.

Supermetrics Alternatives

If Supermetrics doesn’t fit your needs or budget, several alternatives are worth considering. We tested and compared the leading options in our dedicated guide:

10 Best Supermetrics Alternatives in 2026 (Tested & Compared)

Here’s a quick comparison of the top alternatives:

Frequently Asked Questions

Is there a free version of Supermetrics?

No. Supermetrics offers a 14-day free trial, but there is no permanent free plan. After the trial, you must subscribe to a paid annual plan to continue using the product.

Can I pay for Supermetrics monthly?

No. As of 2026, Supermetrics only offers annual billing. There is no month-to-month payment option.

How many data sources does Supermetrics support?

Supermetrics connects to over 100 marketing data sources. Additionally, the Connector Builder (launched February 2026) lets you create custom integrations for platforms not natively supported.

Can I use Supermetrics with Excel?

Yes. Supermetrics offers an Excel add-on that works similarly to the Google Sheets version, pulling marketing data directly into Excel spreadsheets.

Is Supermetrics worth it for small businesses?

It depends. If you only need 2-3 data sources and one destination, the Core plan at $49/month may work. But if you need multiple destinations, more sources, or serve multiple clients, costs escalate quickly. Small businesses should carefully calculate their total cost including add-ons before committing to an annual plan.

Does Supermetrics offer white-label reporting?

Supermetrics added white-label reporting capabilities on Premium plans ($299/month). However, since Supermetrics is a data tool rather than a reporting tool, white-labeling is limited compared to dedicated reporting platforms.

What happens if I exceed my plan limits?

You’ll be prompted to upgrade or pay for add-ons. Multiple users report surprise charges when exceeding query limits, account counts, or source limits. Monitor your usage carefully to avoid unexpected billing.

Final Verdict