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Curated ToolThis tool is part of our curated AI directory. We only include tools that meet our standards for relevance, usability and real-world value.

Supermetrics

Supermetrics is a marketing data integration platform that pulls data from advertising, analytics, ecommerce, and social media sources into spreadsheets, BI tools, and data warehouses. It helps teams centralize campaign and performance data for reporting and analysis.
Analytics & Reporting

FYAI Score

8.2 / 10

Based on 823 reviews

Pricing:

Paid only

Best for:

Marketing analytics teams unifying multi-channel performance data

Score Breakdown

  • Ease of use8.0 / 10
  • Features8.3 / 10
  • Pricing7.4 / 10
  • Integrations9.2 / 10
  • Support8.5 / 10

PRODUCT PREVIEW

What this AI tool does

Supermetrics is a marketing intelligence and data integration platform for teams that need trusted performance data from many marketing, sales, and advertising channels in one place. Supermetrics is built for marketers, analysts, agencies, and data teams that want to analyze data without manually exporting files, copying reports, or rebuilding the same dashboards every week. At its core, the platform helps organizations move marketing data from source systems into the tools where decisions are made. It connects channels such as ad platforms, analytics tools, ecommerce systems, social networks, and CRM sources, then sends that data into spreadsheets, business intelligence environments, data warehouses, reporting tools, and AI workflows. For marketing teams, the value is reliability and repeatability. Instead of treating reporting as a manual task, the tool turns recurring data collection into integration automation, making it easier to monitor campaigns, compare performance across channels, and keep stakeholders aligned on the same numbers. Data preparation is an important part of the story. Supermetrics supports the work that happens between extraction and analysis, including data cleaning, data transformation, field mapping, and combining metrics from different platforms into reporting-ready structures. This matters because marketing data is often fragmented, inconsistent, and difficult to compare without a clear pipeline. Spreadsheet users often experience the platform as a productivity layer. In Google Sheets and Excel, it can support spreadsheet automation for recurring pulls, scheduled refreshes, and report generation that would otherwise depend on manual downloads. That makes it useful for teams that still rely on spreadsheets as their operational reporting hub. Business intelligence teams can use Supermetrics as part of a broader analytics stack. By moving marketing data into BI tools and data warehouses, the platform supports dashboard generation, historical analysis, cross-channel reporting, and more governed marketing performance measurement. It is especially relevant when a company wants marketing metrics to sit alongside revenue, customer, and product data. Agencies and multi-brand teams benefit from the ability to standardize reporting across many accounts. The platform can help them reduce repetitive client reporting work, maintain consistent templates, and build scalable reporting processes across markets, regions, or portfolios. In that setting, the tool is less about a single dashboard and more about repeatable reporting operations. AI and downstream activation are increasingly part of the platform’s positioning. Supermetrics can make marketing data usable in AI tools such as Claude by preparing and delivering structured data that can be queried, summarized, or interpreted. It can also feed downstream marketing systems where cleaned data supports audience analysis, campaign planning, and performance optimization. The platform is best understood as a data movement and marketing intelligence layer rather than a standalone analytics destination. It does not replace strategic thinking, attribution judgment, or the need to define meaningful KPIs. Instead, it gives teams a more dependable foundation for those activities by reducing the friction of collecting and preparing performance data. Supermetrics is best at helping marketing-led organizations turn scattered channel data into usable, analysis-ready information for reporting, business intelligence, automation, and AI-assisted workflows. Its character is practical and infrastructure-oriented, focused on making marketing data available where teams already work rather than forcing every user into a single interface.

Use cases

Best for

Integration Automation

Automate scheduled pulls from ad and analytics sources into Sheets, BigQuery, or a warehouse via Supermetrics connectors.

Analyze Data

Blend and normalize cross channel metrics so you can analyze campaign performance in spreadsheets, SQL, or notebooks.

Business Intelligence

Feed cleaned marketing data into BI tools like Looker Studio, Power BI, or Tableau for dashboarding and governance.

ANALYSIS

Strengths & limitations

Strengths
  • Best suited to marketing teams that manage many channels because it centralizes performance data from multiple sources into reporting, BI, AI, and downstream marketing workflows.
  • Strong fit for agencies and data teams because it helps standardize recurring client or stakeholder reporting without manually exporting data from each platform.
  • Useful for AI-assisted marketing analysis because teams can connect trusted marketing data to tools such as Claude for natural-language questions, summaries, insights, and campaign recommendations.
Limitations
  • Less suitable for teams that need a free or low-cost occasional reporting tool because Supermetrics is a paid-only platform with an ongoing software commitment.
  • Less suitable for organizations seeking a broad enterprise data integration platform for every business function because its core strength is marketing data and marketing performance workflows.
  • Less suitable for teams that want instant dashboards with no data preparation because multi-channel marketing reporting still requires setup, metric mapping, and governance to keep results consistent.

Evaluation

FYAI score breakdown

Our structured evaluation across five key criteria

8.2 / 10

Overall score

Based on 823 reviews

  • Ease of use8.0 / 10
  • Features8.3 / 10
  • Pricing7.4 / 10
  • Integrations9.2 / 10
  • Support8.5 / 10

What users say

Findings from public reviews, documentation and community sources.

  • Ease of use

    Capterra summarizes users saying Supermetrics is “a powerful tool that saves a lot of time by automating data collection,” and SoftwareAdvice says Supermetrics “simplifies reporting” so teams have more time to analyze results. Reddit support describes Supermetrics as working well over long-term use, while the product remains a data/reporting platform with some setup complexity rather than a zero-learning-curve tool.

  • Features

    Supermetrics' own page describes connecting, managing, analyzing, and activating marketing data, plus AI workflows with Claude/ChatGPT/Copilot-style tools. The Supermetrics pricing page lists data transformations, Data API access, Management API access, and data residency on higher tiers.

  • Pricing

    The Supermetrics pricing page lists Starter at €39/month yearly, Growth at €159/month yearly, Pro at €399/month yearly, plus an Enterprise quote option. The Supermetrics pricing page states limits for users, data sources, accounts, refresh rates, and AI credits.

  • Integrations

    The Supermetrics pricing page lists destinations including Looker Studio, Google Sheets, Power BI, and Snowflake, plus AI destinations such as Claude, ChatGPT, and Microsoft Copilot. The Supermetrics pricing page also includes Data API access and, for Enterprise, Management API access.

  • Support

    The Supermetrics website states it offers “24/5 support across time zones,” and the Enterprise tier adds “Premium support & Customer Success Manager.”

Who is this for?

Best for marketing teams that need reporting data in spreadsheet, BI, warehouse, and AI destinations, the Supermetrics pricing page lists Looker Studio, Google Sheets, Power BI, Snowflake, Claude, ChatGPT, and Microsoft Copilot. Less suited to teams that want a zero-learning-curve tool or a lower starting price, the notes describe some setup complexity, and the pricing page starts at €39/month yearly for Starter.

PRODUCT PREVIEW

Feature highlights

Multi-source connectors

Pull marketing data from ads, social, web, and CRM in one place.

Data prep & modeling

Clean, combine, and transform data into analysis-ready tables.

BI & reporting sync

Send fresh data to dashboards, warehouses, and AI tools on schedule.

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FAQ

Frequently asked
questions

Everything you need to know about this AI tool,
its features, pricing, use cases, and limitations.

Who is Supermetrics best suited for?
Supermetrics is best suited for marketing teams, agencies, data teams, and developers that need automated marketing data collection and reporting across many channels. It is most relevant when teams want to move campaign, advertising, sales, or performance data into spreadsheets, dashboards, BI tools, APIs, or AI tools for analysis.
Is Supermetrics free or paid?
Supermetrics is a paid marketing data platform, so buyers should expect to evaluate it as a commercial reporting and data integration tool. The right plan depends on factors such as data sources, destinations, reporting workflows, users, and scale. Check supermetrics.com for current packaging and pricing details.
What are the best alternatives to Supermetrics?
The best Supermetrics alternative depends on whether your priority is spreadsheet automation, BI dashboard pipelines, broader data integration, data transformation, or marketing campaign activation. Supermetrics is strongest when the main need is marketing-specific data collection and reporting, while other tools may fit better for wider enterprise data operations.
How long does it take to set up Supermetrics?
Supermetrics is focused on marketing intelligence, so it may not be the best primary platform for non-marketing data operations. Many workflows also rely on external destinations such as spreadsheets, dashboards, BI tools, AI chat tools, or ad platforms, and advanced activation or governance may require broader stack configuration.
How should teams evaluate Supermetrics for data privacy and compliance?
Teams evaluating Supermetrics should review how marketing, advertising, sales, and campaign data will be connected, stored, accessed, refreshed, and sent to downstream tools. Buyers should confirm current security, privacy, and compliance details directly with Supermetrics, especially when handling customer data, regulated markets, agency client accounts, or enterprise governance requirements.