Best Supermetrics alternatives

Supermetrics built its business on a real problem: marketing data is scattered across too many platforms, and getting it somewhere useful is tedious. Connecting Google Ads to a Google Sheet manually, exporting CSVs, copying rows over, running reports, is genuinely painful work that Supermetrics automates.

The limitations are also real. Supermetrics is a data movement tool. It pulls data from A and puts it in B. What happens at B, the analysis, the dashboard, the reporting, is entirely up to you. Teams end up with Supermetrics feeding data into Sheets or Looker Studio, then building their own reports on top, maintaining the whole stack, and paying for each connector separately.

Pricing is the most common trigger for looking at alternatives. Supermetrics charges per connector, and the cost adds up fast. A team pulling from Google Ads, Facebook Ads, LinkedIn, HubSpot, and TikTok can easily land at $300-600/month before they've done any actual analysis.

What to look for in a Supermetrics alternative

Native connectors to your marketing sources. The core value of Supermetrics is pre-built connectors. Any alternative needs to cover the sources your team actually uses: Google Ads, Meta Ads, LinkedIn, HubSpot, Salesforce, Stripe, GA4, TikTok Ads.

An analytics layer, not just data movement. Supermetrics moves data. The best alternatives do something with it: build dashboards, run AI queries, generate reports. Look for tools where data movement and analysis happen in the same product.

Transparent, predictable pricing. Per-connector pricing compounds. Look for alternatives with flat pricing, per-seat models, or bundled connector access that doesn't punish you for adding sources.

Automated delivery. Marketing reporting is largely recurring. Look for tools that push updated dashboards to Slack, email, or Google Sheets on a schedule, not tools that require manual pulls.

Non-technical access. Marketing and GTM teams should be able to pull their own data without depending on a data engineer to set up pipelines or write SQL.

The best Supermetrics alternatives

1. Fabi: direct connectors with AI analytics on top

Supermetrics is middleware: it moves data from your marketing platforms to a spreadsheet or data warehouse where you still have to build the analysis. Fabi connects directly to the same marketing sources and adds the analytics layer that Supermetrics doesn't have: AI-generated dashboards, natural language querying, and Slack delivery built in.

Pros:

• Hundreds of native connectors to marketing platforms (Google Ads, Meta Ads, LinkedIn Ads, TikTok Ads, HubSpot, Salesforce, Stripe, GA4), warehouses, and more, no middleware required
• Generate complete dashboards with AI from a plain-English description: "show me last month's paid ad spend by channel with ROAS and CPA" gets you a formatted dashboard, not a data export
• Direct Slack integration: push campaign performance reports, alerts, and scheduled dashboards to any channel automatically
• Automated workflows deliver reports to Slack, email, or Google Sheets on a schedule
• AI Analyst Agent answers follow-up questions on your data in plain English
• SQL and Python available in Smartbooks for technical users who need to go deeper

Cons:

• Not open source
• No embedded analytics for customer-facing products
• Less suited for pure data pipeline use cases where the destination is a warehouse and analysis happens elsewhere

What makes it stand out:

Supermetrics solves half the problem. Fabi solves both halves. A marketing manager who wants weekly paid channel performance doesn't need to set up a pipeline to Sheets, build a pivot table, and reformat it every Monday. They describe what they want, Fabi generates the dashboard, and it updates automatically and posts to Slack. The connectors are the starting point, not the end product.

For GTM teams that have been paying for Supermetrics plus a Looker Studio or Sheets layer on top, Fabi replaces both with a single tool at a lower total cost.

Aisle reduced data analysis time by 92% after switching to Fabi.

Best for: Marketing teams, GTM teams, RevOps, and growth operators who want marketing data connected and analyzed in one place, without a separate pipeline tool.

Pricing: Free tier available, then $39/month per builder.

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2. Funnel.io: marketing data aggregation at scale

Funnel.io is built specifically for marketing data aggregation. It connects to 500+ marketing and advertising sources, normalizes the data, and sends it to your destination of choice (BigQuery, Looker Studio, Sheets, Tableau, etc.). For large marketing organizations managing significant ad spend across many platforms, it's the most capable purpose-built alternative to Supermetrics.

Pros:

• 500+ pre-built connectors to marketing and advertising platforms
• Strong data normalization: Funnel maps similar fields across platforms (e.g., "cost" from Google Ads and "spend" from Meta become the same field)
• Flexible destinations: BigQuery, Snowflake, Looker Studio, Google Sheets, Tableau, and more
• Data transformation layer for cleaning and combining source data
• Reliable connector maintenance: Funnel updates connectors when platform APIs change
• Better for high data volumes than Supermetrics

Cons:

• Expensive: starts around $400/month and scales up significantly with volume
• No analytics or dashboard layer included (data movement only)
• Requires a separate BI tool for reporting
• Overkill for small teams or limited source/destination combinations
• No AI or NLQ features

What makes it stand out:

Funnel's data normalization is its most practical differentiator. When you're pulling from Google Ads, Meta, LinkedIn, TikTok, and Bing simultaneously, each platform has its own naming conventions and data structures. Funnel harmonizes these into a consistent schema before sending data downstream. For marketing analytics teams managing multi-channel spend, this eliminates a significant amount of manual cleaning.

Best for: Enterprise marketing teams and agencies managing high ad spend across many platforms that need reliable, scalable data aggregation into a warehouse or BI tool.

Pricing: Starts around $400/month, scales with data volume and connectors.

3. Windsor.ai: budget-friendly Supermetrics replacement

Windsor.ai covers most of the same ground as Supermetrics at a significantly lower price point. It connects to marketing platforms (Google Ads, Meta, LinkedIn, TikTok, and more) and sends data to Google Sheets, Looker Studio, BigQuery, and other destinations. For teams primarily looking to reduce their Supermetrics bill without changing their workflow, Windsor is the most direct swap.

Pros:

• Broad connector coverage for marketing and ad platforms
• Significantly cheaper than Supermetrics for comparable connector sets
• Supports Google Sheets, Looker Studio, BigQuery, and other common destinations
• Faster to set up than enterprise alternatives
• Multi-touch attribution models built in

Cons:

• Connector quality and reliability varies more than Supermetrics
• Less robust data normalization than Funnel.io
• No analytics layer (data movement only)
• Smaller team and slower support response times than larger competitors
• Less suited for high-volume enterprise use cases

What makes it stand out:

Windsor.ai's main selling point is cost. Teams running comparable connector sets to Supermetrics typically pay 50-70% less. The trade-off is reliability: Supermetrics has more engineering resources behind connector maintenance. For teams comfortable with occasional connector issues and willing to troubleshoot, Windsor delivers comparable data movement at a lower price.

Best for: Small to mid-size marketing teams that want Supermetrics-style connectivity at a lower price and can tolerate occasional connector maintenance issues.

Pricing: Free tier available (limited rows), paid plans from $19/month.

4. Porter Metrics: Google Sheets and Looker Studio reporting for agencies

Porter Metrics is designed specifically for agencies and marketing teams reporting in Google Sheets and Looker Studio. It connects marketing platforms to these destinations with pre-built report templates, which significantly reduces setup time for standard reporting use cases.

Pros:

• Pre-built report templates for Google Sheets and Looker Studio (saves setup time)
• Good connector coverage for common marketing platforms
• Designed for agencies managing multiple client accounts
• Significantly cheaper than Supermetrics for Sheets and Looker Studio use cases
• Easy to set up without technical knowledge

Cons:

• Limited destination support (primarily Google Sheets and Looker Studio)
• Not suitable for warehouse destinations (BigQuery, Snowflake, Redshift)
• Less flexible than Supermetrics for custom reporting needs
• No AI or NLQ features
• Not suited for data engineering use cases

What makes it stand out:

Porter Metrics solves one use case well: getting marketing data into Google Sheets or Looker Studio with minimal effort. The pre-built templates are genuinely useful for agencies that run the same standard reports across multiple clients. If your workflow is Supermetrics to Sheets or Looker Studio, Porter covers that path at a lower price with less configuration.

Best for: Marketing agencies and teams that primarily report in Google Sheets or Looker Studio and want pre-built templates to speed up setup.

Pricing: Free tier available, paid plans from $49/month.

5. Fivetran: data pipeline infrastructure for engineering teams

Fivetran is an enterprise-grade data integration platform that covers marketing sources alongside hundreds of other connectors (databases, SaaS tools, event streams). It's designed for data engineering teams building reliable pipelines into a central warehouse. It's more powerful than Supermetrics and significantly more expensive.

Pros:

• 500+ connectors across marketing, SaaS, databases, and cloud platforms
• High reliability with strong SLAs and connector maintenance guarantees
• Automated schema migration: adapts to source API changes without manual intervention
• Excellent for warehouse-first architectures (Snowflake, BigQuery, Redshift, Databricks)
• Strong data governance and monitoring features

Cons:

• Expensive: consumption-based pricing can escalate quickly
• Designed for data engineers, not marketing teams
• No analytics or dashboard layer
• Overkill for teams that only need marketing source connectivity
• Requires a warehouse and a separate BI tool to complete the stack

What makes it stand out:

Fivetran is what you graduate to when Supermetrics isn't reliable or scalable enough. It's built for teams running production data pipelines where connector failures have real business consequences. The automated schema migration is especially valuable: when Meta or Google changes their API, Fivetran handles the update automatically. For organizations investing seriously in a data warehouse, Fivetran is a more durable foundation than Supermetrics.

Best for: Data engineering teams building warehouse-first analytics stacks that need reliable, enterprise-grade data integration across many source types.

Pricing: Consumption-based (MAR pricing), typically starts at $500+/month for meaningful usage.

6. Airbyte: open-source data integration with 300+ connectors

Airbyte is the open-source alternative to Fivetran and Supermetrics. It offers 300+ pre-built connectors (including all major marketing platforms), a self-hosted deployment option, and Airbyte Cloud for teams that don't want to manage infrastructure. For engineering teams that want connector coverage without per-connector or per-row pricing, Airbyte is the default open-source choice.

Pros:

• Open source with no licensing costs (self-hosted)
• 300+ connectors including Google Ads, Meta, LinkedIn, HubSpot, Salesforce, and more
• Airbyte Cloud for managed hosting without infrastructure management
• Community contributes new connectors regularly
• Strong integration with dbt for data transformation post-ingestion
• No per-connector pricing on self-hosted version

Cons:

• Self-hosted setup requires engineering resources to deploy and maintain
• Connector quality varies (community-maintained connectors can lag)
• No analytics or dashboard layer
• Not designed for non-technical marketing teams
• Airbyte Cloud pricing can still escalate with data volume

What makes it stand out:

Airbyte's open-source model changes the economics of data integration. Self-hosted Airbyte has no per-connector or per-row charges. For engineering teams already running infrastructure, adding Airbyte costs compute time, not per-connector fees. The trade-off is maintenance burden: you own the deployment. For teams comfortable with that, Airbyte provides Supermetrics-level connector coverage at a fraction of the ongoing cost.

Best for: Engineering teams with infrastructure resources that want maximum connector coverage with no per-connector pricing and full data control.

Pricing: Free (self-hosted). Airbyte Cloud from $10/month, scales with data volume.

Supermetrics alternatives comparison

Which Supermetrics alternative is right for you?

Marketing or GTM team that wants data connected and analyzed in one place: Fabi. Direct connectors to all major marketing sources, AI-generated dashboards on top, and Slack delivery built in. Replaces Supermetrics plus whatever BI tool sits on top of it.

Enterprise marketing team managing high ad spend across many platforms: Funnel.io. The strongest data normalization, 500+ connectors, and reliable pipeline maintenance at scale. Pair with a BI tool for reporting.

Team looking to cut the Supermetrics bill without changing the workflow: Windsor.ai. Similar connector coverage at a lower price. Quality varies more than Supermetrics, but it gets the job done for most standard use cases.

Agency reporting in Google Sheets or Looker Studio: Porter Metrics. Pre-built templates speed up client reporting setup, and the pricing is well below Supermetrics for the same destination set.

Data engineering team building a warehouse-first stack: Fivetran. Enterprise-grade reliability, automated schema migration, and 500+ connectors including all major marketing platforms. The right foundation when data pipelines are a core part of your infrastructure.

Engineering team that wants open-source with no per-connector pricing: Airbyte. Self-hosted deployment with 300+ connectors, no licensing fees, and strong dbt integration for transformation. Requires infrastructure resources to maintain.

FAQ

Why is Supermetrics so expensive?

Supermetrics charges per connector set, and the price compounds as you add data sources. A team pulling from five or six marketing platforms can easily spend $300-600/month. The pricing model was designed for an era when connector access was genuinely hard to build. Today, several alternatives offer comparable connectivity at lower prices, or bundle connectors with an analytics layer so teams aren't paying separately for data movement and reporting.

What is the best free Supermetrics alternative?

Airbyte is the most capable free alternative for teams that can self-host. It offers 300+ connectors with no per-connector licensing. Fabi has a free tier that includes native marketing connectors and AI-generated dashboards. Google Looker Studio has free native connectors for Google Ads and GA4, though coverage is limited to Google products.

Does Supermetrics work with BigQuery?

Yes, Supermetrics can send data to BigQuery. But several alternatives also support BigQuery as a destination, including Funnel.io, Fivetran, and Airbyte, often with better reliability or lower cost. Fabi connects directly to BigQuery as a source for analysis without requiring Supermetrics as middleware.

What is the best Supermetrics alternative for agencies?

Porter Metrics is designed specifically for agencies doing client reporting in Google Sheets and Looker Studio. Fabi is a strong option for agencies that want to go beyond standard templates: AI-generated dashboards mean analysts can generate client reports without writing SQL, and Slack delivery automates recurring report distribution.

How does Fabi replace Supermetrics?

Supermetrics moves marketing data to a destination (Sheets, BigQuery, Looker Studio) where you then build analysis. Fabi connects directly to the same marketing sources and adds the analytics layer in the same product. Instead of pulling data to Sheets and building pivot tables manually, you describe the dashboard you want and Fabi generates it. Automated workflows push updated reports to Slack or email on a schedule. For most marketing and GTM use cases, this replaces both Supermetrics and whatever reporting layer sits on top of it.

Is there an open-source Supermetrics alternative?

Airbyte is the main open-source data integration alternative. It covers 300+ connectors including all major marketing platforms, runs on your own infrastructure, and has no per-connector licensing fees. The trade-off is that you manage the deployment. For teams comfortable with self-hosting, Airbyte is a cost-effective alternative to Supermetrics for the data movement layer.