What Is Supermetrics? The Marketing Intelligence Platform explained

Supermetrics is a marketing intelligence platform that collects, manages, analyzes, and activates marketing data across every channel in your stack. As a result, marketing teams and agencies can move from raw, disconnected numbers to decisions that drive revenue, without writing code or waiting on data engineers.

Supermetrics built its reputation on fast, reliable data connectivity, and that capability still sits at the core of the platform. But today, Supermetrics has evolved into an end-to-end marketing intelligence platform built to help teams collect, manage, analyze, and activate marketing data across every channel and tool in their stack.

In this article, you'll learn exactly what Supermetrics is, what it does, who uses it, how it works, what it connects to, and how it compares to alternatives.

Key takeaways

How does Supermetrics work?

Supermetrics is a marketing intelligence platform that connects every marketing data source in your stack, manages and transforms the data, visualizes performance across channels, and activates insights across ad platforms and engagement tools — all without requiring code or data engineering support.

Today, over 200,000 companies across 120 countries use Supermetrics to transform marketing data into a competitive advantage.

Supermetrics follows a marketing intelligence workflow, including four steps:

• Connect: Pull data automatically from any marketing platform, ad networks, analytics tools, CRMs, and more.
• Manage: Transform, clean, and standardize that data so it's consistent and business-ready across all channels.
• Analyze: Explore performance across channels, campaigns, and time periods using reports, dashboards, and AI-powered insights.
• Activate: Push data back into your marketing tools or AI models to optimize campaigns and improve targeting.

What marketing and data teams can do with Supermetrics?

Marketing teams use Supermetrics to move beyond reporting. For example, they can understand what's driving performance, act on that understanding, and close the loop between insight and outcome. Here are the most common ways marketers, analysts, and agencies use it.

Ask your marketing data questions and get instant answers in Claude, ChatGPT, and more

One of the most popular ways to use Supermetrics today is to connect your marketing data to an AI tool—Claude, ChatGPT, or Microsoft Copilot—and ask questions in plain English, rather than building dashboards or exporting spreadsheets.

Supermetrics serves as the structured, governed data layer these AI tools read from, so the answers are grounded in your actual live performance data. Instead of logging into five different platforms to investigate a drop in results, you ask your AI assistant directly and get an answer in seconds.

Common questions marketers are asking:

• Which campaigns had the best ROI this month across all platforms?
• Break down our LinkedIn Ads leads by campaign and job title
• Compare this month to last month — where's the biggest drop?
• What's our blended customer acquisition cost across Google Ads, Meta, and LinkedIn?

Learn more about Supermetrics AI.

Uncover what's driving performance and optimize spend

The Supermetrics Insights Agent is a built-in AI agent available directly inside Supermetrics. It continuously monitors your key metrics, detects anomalies before they show up in your weekly review, and surfaces budget optimization recommendations based on your actual cross-channel data, not external benchmarks.

Unlike a generic AI assistant, the Insights Agent understands your specific campaigns, channels, and performance history. You can ask it to explain a CPA spike, identify which campaigns are saturating, or surface where spend should be shifted, and get answers grounded in your live data, without building a single custom report.

Common use cases:

• Identify which channels are delivering the strongest ROI and where the budget should shift.
• Get proactive anomaly alerts when a campaign drops in performance
• Spot ad creative fatigue — high frequency, declining CTR — before it drains budget.
• Surface cross-channel efficiency patterns and reallocation recommendations.

Explore Supermetrics AI features.

Multi-channel performance reporting and dashboards

Automated reporting is one of the most common starting points for Supermetrics. Marketing teams use it to automatically pull data from their ad platforms, analytics tools, and CRMs into Google Sheets, Looker Studio, Power BI, or their data warehouse, keeping dashboards up to date without anyone having to manually pull data.

The most popular version of this is multi-channel performance reporting: seeing paid search, paid social, display, email, and organic all in a single view so you can compare channels side by side, spot trends, and reallocate budget with confidence, rather than logging into each ad platform separately.

Using data blending, you can combine data from multiple platforms into a single table to compare performance across channels, build cross-channel ROI views, and create the kind of consolidated reports no single platform can produce on its own.

Check out Supermetrics marketing reporting templates.

Agency reporting for multiple clients

Marketing agencies use Supermetrics to build standardized reporting dashboards for each client, dramatically reducing manual reporting time while scaling client service without adding headcount. Additionally, agencies can also white-label shared dashboards with their own branding, giving clients a polished, on-brand experience.

Read 7 ways agencies use Supermetrics to win and retain clients.

Audience activation and personalization

Reporting tells you what happened. Data activation is what you do about it.

Supermetrics Data Activation closes the loop between analysis and execution. It unifies customer data from your marketing platforms, CRM, and behavioral sources — offline activity such as in-store visits — and puts it to work across your marketing stack in real time.

With Supermetrics Data Activation, marketing teams can:

• Build dynamic audience segments from engagement data, profile attributes, and AI-powered predictive scores, then sync them automatically to ad platforms to improve ROAS and reduce wasted spend.
• Suppress the wrong audiences and focus budget on high-value prospects.
• Orchestrate customer journeys that trigger based on real behavior — an abandoned cart, a form submission, a loyalty threshold — coordinating messages across email, web, ads, and mobile.
• Personalize in the moment with on-site experiences and outbound messages tailored to live customer context, with built-in experiments to measure impact.

Advanced marketing analytics and modeling

For data teams and marketing analysts who need to go beyond standard reporting, Supermetrics gives you clean, normalized, and historically complete marketing data — ready for deeper analysis in the tools your team already uses.

With your marketing data consistently structured and stored, teams use it for marketing mix modeling, customer lifetime value analysis, cross-domain business intelligence, and the development of custom attribution models that connect ad spend to downstream revenue outcomes. Destinations include BigQuery, Snowflake, Amazon Redshift, and Azure Synapse.

Building data products on top of Supermetrics

Build on Supermetrics is a platform layer that lets agencies and product builders create their own data products on top of Supermetrics' infrastructure. You can take advantage of Supermetrics’ data foundation, which connects to hundreds of marketing data sources.

Examples of what teams build with it:

• White-labeled client reporting portals with branded authentication flows, so end clients connect their ad accounts inside the agency's own product.
• Custom analytics dashboards embedded in a SaaS product or internal tool.
• AI marketing agents and RAG workflows are grounded in live marketing data via the Supermetrics MCP.
• Automated multi-client reporting platforms that manage dozens of client accounts programmatically.

How Supermetrics works

Supermetrics follows a simple workflow built around four key areas: connect, manage, analyze, and activate marketing data. This marketing intelligence workflow helps the team move from raw, siloed data to measurable outcomes.

Connect marketing data

Supermetrics helps marketing teams connect their entire marketing ecosystem so they can see the complete picture and make better decisions. Instead of juggling separate dashboards and manual exports, you can bring every data source into one unified platform, so reporting is faster, cleaner, and easier to trust.

With Supermetrics, you have three flexible ways to connect data, including pre-built data sources, Custom Data Import, or building your own data connectors.

• Pre-built data sources: You can pull data from pre-built integrations in a few clicks, including sources like Google Analytics 4, Google Ads, LinkedIn Ads, Facebook Ads, Shopify, and HubSpot, to centralize marketing insights.
• Custom data import: If you have offline data or a system without a reporting API, you can create custom data imports and automatically upload CSV, Excel, and other file formats into Supermetrics.
• Build your own: If you need a custom integration, Supermetrics provides tools to build your own, as long as the source platform has a reporting API. You build and maintain the connector yourself. Supermetrics provides a low-code environment and framework to get it done without a full engineering team.

Manage marketing data

Supermetrics goes beyond moving data. It transforms it. For example, you can convert currencies, standardize campaign naming conventions, extract dimensions from campaign names, apply business rules across channels, and enrich data with AI-powered capabilities. The result is a clean, normalized, cross-channel dataset that's ready for reporting and analysis, without manual cleanup or SQL.

• Custom fields: Define your own calculated metrics and dimensions on top of raw platform data, for example, blended cost and impressions across channels, or create a custom metric without writing SQL.
• Data blending: Combine data from multiple sources in a single table using union and join operations. This enables cross-channel analysis, attribution models, and custom reports that no single platform can produce on its own. Additionally, unlike most competing tools that require you to store data before blending, Supermetrics lets you blend data directly from the source, so you can work with combined datasets immediately, or choose to store first.
• Data warehousing (Supermetrics Storage): Store a clean, normalized copy of your marketing data in Supermetrics Storage for fast queries, historical analysis, and AI model inputs—all managed within the platform.
• Table manager: Organize and manage your stored data tables, control schemas, and keep your data layer tidy as your reporting needs evolve.
• Data transfers: Set up automated, scheduled transfers to keep your destinations up to date, daily, hourly, or on a custom cadence, so reports are always current without manual intervention.
• API queries: Access any data Supermetrics manages programmatically via the Supermetrics API, enabling custom integrations, embedded analytics, and AI pipelines built on top of your marketing data.

Learn 7 Supermetrics data transformation use cases.

Analyze marketing data

One of Supermetrics' core principles is that marketers should be able to work with data where they prefer, whether that's inside Supermetrics or in the tools they already use every day.

In-platform analysis includes a growing set of native analysis capabilities:

• Data explorer: Query and explore your marketing data directly in the platform. You can slice your data by channel, campaign, time period, or custom dimension without building a separate dashboard.
• Dashboards: Build and share performance dashboards inside Supermetrics using pre-built templates or custom layouts, with data that refreshes automatically.
• Insights agent: An AI-powered agent that continuously monitors your key metrics, detects anomalies and trends, surfaces budget optimization recommendations, and flags issues before they become problems, in plain language.

External reporting destinations are for teams that prefer to report in tools they already know. Supermetrics sends data directly to:

• AI chats: Connect Supermetrics data with AI tools like ChatGPT, Claude, Gemini and Copilot and get instant answers about your performance.
• Google Sheets: Pull live marketing data into spreadsheets, build custom formulas on top, and share reports with stakeholders who live in Sheets.
• Looker Studio: Connect Supermetrics as a data source to build rich, shareable dashboards with Looker Studio's visualization layer.
• Microsoft Excel: Use the Supermetrics add-in to pull and refresh marketing data inside Excel, useful for finance-adjacent reporting and teams that rely on Excel-based models.
• Power BI, data warehouses, and more: Full destination list also includes Power BI, BigQuery, Snowflake, Amazon Redshift, Azure Synapse, and other warehouse and BI destinations covered in the integrations section.

Activate marketing data

Supermetrics Data Activation, powered by Relay42, is the execution layer that turns insights into action. Where the Analyze layer tells you what to change, Activation executes those changes across your marketing stack with human oversight at every step.

• Audience building and segmentation: Build precise audience segments from your marketing, CRM, and behavioral data.
• Activation across channels: Push audiences to ad platforms (Google Ads, Meta Ads, and more), email service providers, CDPs, and engagement tools, for audience acquisition, suppression, retargeting, and lifecycle campaigns.
• Journey orchestration: Design and trigger multi-step customer journeys based on behavioral signals, engagement scores, and lifecycle events. AI-assisted journey building lets you draft a flow in plain language, validates the logic, and flags issues before anything goes live.
• Closed-loop measurement: Track the impact of activated audiences and journeys back against your marketing data, so you can measure uplift and continuously improve what you activate.

Learn more about Supermetrics Data Activation.

What is Supermetrics AI?

Supermetrics AI is a suite of intelligence capabilities embedded across the Supermetrics platform. It enables marketing teams to move beyond manual analysis by automating reporting, surfacing insights, and connecting data to external AI tools, so they can make faster, smarter decisions.

Supermetrics AI is built on a foundation that processes 15% of global ad spend and draws on 15 years of marketing data expertise, including a proprietary Knowledge Graph of marketing metrics, dimensions, and relationships. This means the AI understands marketing context, not just raw numbers. As a result, the model reduces hallucinations and grounds its recommendations in your actual data.

Supermetrics in-platform AI agents

Supermetrics AI includes purpose-built agents, each designed for a different part of the marketing intelligence workflow:

• Dashboard Agent: Converts natural language questions into interactive dashboards and reports. Instead of building a report from scratch, you describe what you want — "show me paid social performance by channel for last quarter" — and the agent builds it for you.
• Insights Agent: Analyzes your marketing data to uncover patterns, identify relationships between metrics, and recommend next actions. It continuously monitors key metrics, flags anomalies before they become problems, and surfaces budget-optimization recommendations grounded in your cross-channel data.
• Connector Agent: Guides users through building custom marketing data integrations in a low-code environment. Teams that need a Supermetrics source but don't yet have one can build their own integration without needing a full engineering team.

Send your data to AI tools with Supermetrics

For teams that want to bring their marketing data into external AI workflows, Supermetrics provides a set of AI integration capabilities:

• Enterprise APIs and Supermetrics MCP: Expose your clean, normalized marketing data to external AI applications — enabling custom AI agents, media mix models, and agentic marketing workflows built on top of Supermetrics data.
• AI platform integrations: Connect Supermetrics data directly to ChatGPT, Google Gemini, and Claude, so you can ask natural language questions about your marketing performance and get data-grounded answers from the AI tools your team already uses.
• Workflow tool integrations: Supermetrics integrates with automation platforms like n8n, Make, and Zapier, enabling AI-powered marketing workflows that trigger on data signals, for example, pausing a campaign when CPA exceeds a threshold or sending a Slack alert when the conversion rate drops.

Supermetrics AI is designed so that marketing data stays within enterprise-grade, secured environments — the AI works with your data without exposing it to third-party model training.

Is Supermetrics an ETL tool or a data pipeline?

Supermetrics is a marketing intelligence platform. It includes data pipeline functionality — meaning that the pipeline is one layer of a broader system that also covers data transformation, cross-channel analysis, AI-powered insights, and audience activation.

Simply put, ETL tools focus on building data infrastructure for general data engineering use cases. Supermetrics focuses specifically on making marketing data usable for decision-making and ROI measurement: from the first data connection through to audience activation and closed-loop measurement. If your goal is faster, more consistent marketing reporting and optimization across channels, Supermetrics is designed for that entire workflow.

What Supermetrics is not:

• A data warehouse. Supermetrics sends data to warehouses and can store a copy via Supermetrics Storage, but it is not a general-purpose data storage layer.
• A data pipeline. Supermetrics includes a data transformation layer, an intelligence and analysis layer with AI-powered insights, and an activation layer for executing on those insights across ad platforms and engagement too.

That said, Supermetrics includes data-pipeline capabilities for teams that need them. So it's more accurate to say: Supermetrics includes ETL functionality as part of a broader marketing intelligence platform—not that it is only an ETL tool.

How to choose the right tool for your needs

Use these decision criteria when evaluating Supermetrics against alternatives:

Is the primary user a marketer or a developer?

Supermetrics’ primary users are marketers, both in-house and agency. Unlike generic ETL tools built for data engineers, marketers can use Supermetrics to collect, organize, and activate data in just a few clicks. If your team lacks engineering resources, Supermetrics' no-code interface and marketing-specific data sources make it significantly faster to deploy.

If the primary user is a developer, analytics agency, or SaaS company looking to build products or services on top of marketing data, the relevant path is Build on Supermetrics.

What is your primary data destination?

Supermetrics is optimized for a wide range of destinations depending on how your team works with data:

• AI tools: ChatGPT, Claude, Gemini, and other AI assistants — Supermetrics serves as the clean, structured marketing data layer these tools read from, enabling natural language queries grounded in your actual performance data.
• Spreadsheets: Google Sheets and Microsoft Excel — ideal for teams that want to report and analyze within a familiar, flexible format.
• BI and dashboarding tools: Looker Studio, Power BI, and Tableau — for teams that need rich, interactive dashboards shareable across the organization.
• Data warehouses: BigQuery, Snowflake, Amazon Redshift, Azure Synapse, and more — for teams that need long-term storage, advanced SQL modeling, and cross-domain analytics.

The right destination depends on where your team does its best work. Many Supermetrics customers use multiple destinations simultaneously — for example, a data warehouse for storage and modeling, plus Google Sheets for weekly stakeholder reports.

Can you build data products on top of Supermetrics?

For teams that want to go beyond the out-of-the-box product, Build on Supermetrics is a set of APIs that lets agencies, SaaS companies, and development teams build and scale their own white-labeled data products — without spending months maintaining integrations. You own the product and the user experience; Supermetrics handles the underlying data connectivity, connector maintenance, and uptime.

• Alvie, an agency-turned-product company that built its entire white-labeled SaaS platform on Supermetrics APIs — going to market without building or maintaining a single data source integration.
• First Tube Media, which launched a live-event measurement product by blending ad platform data with proprietary event streams via Supermetrics pipelines.
• Data Speaks, which used Supermetrics as a data foundation to automate ingestion and normalization across client accounts, scaling their service without growing the ops team.

How much data depth do you need?

Supermetrics connects to hundreds of marketing-specific sources and gives you access to granular campaign, ad set, and ad-level data across every channel, including metrics and dimensions that many other tools don't expose. For teams that need complete data, not just summary-level aggregates, this depth matters significantly

What is your technical capacity?

Supermetrics is designed so that a marketer can be up and running in minutes, with no code. If avoiding engineering dependency is a priority, that is one of Supermetrics' key differentiators.

Do you need to scale?

Supermetrics grows with you from a small team pulling data into a spreadsheet to an enterprise running multi-territory data warehouse pipelines. Unlike tools that charge by data row or query volume, Supermetrics pricing is subscription-based, so costs stay predictable as your data scale grows.

Is Supermetrics safe and compliant?

What permissions does Supermetrics typically need?

When connecting your marketing platforms, Supermetrics only reads data for reporting and analysis purposes. It does not make changes to your campaigns, audiences, ad creatives, or account settings. The conversion upload feature, which sends data back to ad platforms to improve algorithm optimization, requires write access, but it is optional, and you must explicitly enable it.

Security certifications and compliance

Supermetrics holds SOC 2 Type II certification, independently audited for security, availability, and confidentiality. It is fully compliant with GDPR and CCPA, and includes enterprise-grade security features such as SSO (Single Sign-On) and regional data hosting. Supermetrics guarantees 99.9% uptime. Supermetrics does not use your marketing data to train AI models.

How much does Supermetrics cost?

Supermetrics pricing depends on your data sources, destinations, and how your team uses marketing data for reporting and analysis. Pricing is subscription-based with monthly or annual plans.

What affects the price?

• Data sources and destinations: The number and type of marketing platforms you connect to, and which destinations you use (spreadsheets vs. data warehouse workflows carry different price points).
• Package tiers: Supermetrics offers Starter, Growth, and Business packages, each with different feature sets, data volumes, and destinations.
• Number of accounts and users: The scale of usage across client accounts, ad accounts, and team members.
• Refresh frequency and data volume: How often data is updated and how much data is transferred can affect plan requirements, particularly for high-frequency or enterprise-scale workflows.

How to estimate what you need

A helpful rule of thumb: if you primarily need automated reporting in spreadsheets or Looker Studio for a single team, a Starter or Growth package typically covers most use cases. If you're managing multiple client accounts (an agency), running enterprise-scale data warehouse pipelines, or need advanced AI and activation features, consider the Business packages. The free trial is the best way to test with your actual data sources before committing.

Does Supermetrics have a free trial?

Yes. Supermetrics offers a 14-day free trial that lets you test the platform with your actual data sources and reporting destinations. The trial is the best way to validate whether Supermetrics fits your specific use case — not just evaluate the UI in a sandbox.

What are the benefits and limitations of Supermetrics

This section gives you an honest assessment to help you make the right call.

Why teams use Supermetrics

• Saves significant time: Supermetrics eliminates hours of manual data exports and report preparation each week. Teams that previously spent days on monthly reporting can reduce that to minutes.
• Reduces manual errors: By automating data collection, Supermetrics removes human error from the reporting process. Your numbers are consistent across all dashboards and reports.
• Makes reporting consistent: Everyone looks at the same data, pulled from the same sources, using the same logic. This removes conflicting numbers and builds cross-team trust in reporting.
• Self-serve marketing analytics: Marketing teams build and update their own reports without waiting for data engineers, which removes the bottleneck between a performance question and the data needed to answer it.
• Deep data coverage: Supermetrics connects to hundreds of marketing data sources and gives you access to granular breakdowns at the campaign, ad set, creative, and keyword level.
• Scales without disruption: Supermetrics works for a solo marketer in a spreadsheet and for an enterprise running complex data warehouse pipelines — on the same platform.

Limitations to know

• Not a full data modeling layer: For complex data modeling across multiple business domains, you would typically pair Supermetrics with a data warehouse and a modeling tool like dbt.
• Governance requires setup: For Supermetrics to produce consistent cross-channel metrics (like a unified definition of "conversion"), teams need to define their metrics and naming conventions upfront, as with any data platform.

Wrapping up

Supermetrics has evolved from a simple spreadsheet connector into a full marketing intelligence platform, one that takes teams from raw, disconnected data to audience activation and closed-loop measurement, without writing a single line of code.

If your goal is faster reporting, consistent cross-channel data, and smarter marketing decisions, Supermetrics is purpose-built for exactly that.

Frequently asked questions