Best Facebook Ads Connectors & Data Integration Tools in 2026

Facebook Ads generates mountains of data. Campaign metrics. Audience insights. Creative performance. Conversion events. Getting that data out of Ads Manager and into your reporting stack shouldn't require a data engineering degree.

Facebook Ads connectors automate the extraction. They pull your data on a schedule and deliver it to dashboards, spreadsheets, data warehouses, or AI tools. No more manual exports. No more copy-paste.

This guide compares the best Facebook Ads connectors so you can pick the right one.

Why You Need a Facebook Ads Connector

Even if Facebook is your only ad platform, connectors add value.

Automated reporting. Set it once, get fresh data daily. No more Monday morning export routines.

Historical data preservation. Facebook Ads Manager limits how far back you can view data. Connectors archive everything to your own storage.

Custom dashboards. Ads Manager's built-in reporting is limited. Connectors feed Looker Studio, Tableau, or custom dashboards where you control the visualization.

Cross-platform attribution. When you run ads on Facebook, Google, and TikTok, unified data lets you compare performance and allocate budget intelligently.

AI-powered analysis. Connect Facebook data to Claude and ask questions in plain English. "Which audiences have the lowest CPA?" beats clicking through Ads Manager filters.

The teams getting the most from their ad spend aren't the ones with the biggest budgets. They're the ones who can analyze and act on data fastest.

Facebook Ads Connector Comparison

Here's how the major options stack up.

Fivetran

Enterprise standard. Handles Facebook's frequent API changes automatically. Maintains data integrity. Scales to massive accounts without manual intervention.

Automatic schema handling when Facebook changes APIs. Comprehensive data coverage. Enterprise-grade reliability and support.

Expensive for small teams. Requires a data warehouse destination.

Best for companies with existing data infrastructure (BigQuery, Snowflake, Redshift) who need reliability above all else.

Pricing: Usage-based. Typically $500-2,000+/month depending on data volume.

Supermetrics

Built for marketers who live in Google Sheets and Looker Studio. No data warehouse required. Data goes straight to familiar tools.

Direct integration with Sheets and Looker Studio. Pre-built templates for common reports. No technical setup required.

Less suitable for data warehouse workflows. Can hit refresh limits on large accounts.

Best for marketing teams and small agencies who want reports in Sheets or Looker Studio without touching databases.

Pricing: Starts at $99/month for core connectors.

Stitch Data

Sits between Supermetrics and Fivetran. More robust than spreadsheet tools, less expensive than enterprise solutions.

Good balance of capability and price. Reliable warehouse connectivity. Decent documentation and support.

Less polished than Fivetran. Fewer advanced features.

Best for growing teams that need warehouse integration without enterprise pricing.

Pricing: Starts around $100/month based on row volume.

Airbyte

Open-source and can run on your own infrastructure. Complete control over your data pipeline.

Free self-hosted option. No vendor lock-in. Highly customizable.

Requires technical knowledge to deploy and maintain. Self-hosted means self-supported.

Best for technical teams with DevOps capacity who want control over their data stack.

Pricing: Free (self-hosted) or usage-based cloud pricing.

Funnel.io

Specializes in marketing data aggregation. Strong multi-account and multi-client capabilities.

Excellent for agencies managing many accounts. Built-in data transformation. Marketing-specific features.

Premium pricing. More than needed for single-account setups.

Best for agencies and enterprise marketing teams managing multiple brands or clients.

Pricing: Starts around $500/month.

InsightfulPipe MCP

MCP connectors take a different approach. Instead of feeding dashboards, they let you query Facebook data directly from Claude AI.

Natural language queries ("Show me CPA by audience segment"). Cross-platform analysis in one conversation. No dashboard building required.

Focused on AI use cases, not traditional BI. Requires Claude for queries.

Best for teams using Claude who want to analyze ad data conversationally rather than building reports.

Pricing: Included with InsightfulPipe subscription.

How to Choose the Right Connector

By Destination

Where does your data need to go?

Google Sheets: Supermetrics Looker Studio: Supermetrics BigQuery / Snowflake: Fivetran, Stitch, Airbyte Custom database: Airbyte Claude AI: InsightfulPipe MCP

By Team Type

Who's setting this up and maintaining it?

Marketing (no technical support): Supermetrics Marketing + data analyst: Stitch, Funnel Data engineering team: Fivetran, Airbyte Agency (multiple clients): Funnel.io AI-first workflow: InsightfulPipe MCP

By Budget

What can you spend monthly?

Free: Airbyte (self-hosted), manual exports $100-200/month: Supermetrics, Stitch $500+/month: Fivetran, Funnel.io

Setting Up Facebook Ads Integration

The process is similar across tools.

Step 1: Audit Your Current Process

Before choosing a tool, understand what you're replacing. How do you pull Facebook data now? Where does it need to go? Who needs access? What's broken or slow?

Step 2: Define Your Destinations

Data needs a home. Google Sheets for quick reports and sharing. Looker Studio for visual dashboards. Data warehouse for historical storage and complex analysis. AI assistant for natural language queries.

Most teams need more than one. A common setup: warehouse for storage, Looker Studio for dashboards, MCP for ad-hoc questions.

Step 3: Trial and Test

Most connectors offer free trials. Test with real data. Does it pull all the metrics you need? How long does initial sync take? Do numbers match Ads Manager? How's refresh speed?

Step 4: Implement and Monitor

Configure all ad accounts. Set up sync schedules (daily minimum). Validate data against source. Configure failure alerts. Document the setup for your team.

Using Facebook Data with AI

The newest approach to Facebook data isn't dashboards. It's conversation.

With MCP connectors, Claude accesses your Facebook Ads data directly. Instead of building reports, you ask questions.

Performance analysis:

"What's our Facebook ROAS this month compared to last month?"
"Which ad sets have CPA above $30?"
"Show me the trend in CPM over the last 90 days"

Audience insights:

"Which audiences convert best?"
"Compare performance by age group"
"Are lookalike audiences outperforming interest targeting?"

Creative analysis:

"Which ad creatives have the highest CTR?"
"Show me video vs. static image performance"
"Which creatives should I pause based on CPA?"

Cross-platform:

"Compare Facebook vs. Google Ads efficiency"
"Which platform has the best ROAS for our retargeting campaigns?"

Connect Facebook Ads via MCP to try this approach.

Common Questions

Do I need a connector if I only use Facebook Ads?

Connectors still help. You get automated reporting, historical data storage, and custom dashboards. Even single-platform advertisers benefit.

How often should data sync?

Daily is sufficient for most accounts. High-spend accounts (>$10k/day) may want hourly syncs. Real-time is rarely necessary for reporting.

Will a connector break if Facebook changes its API?

Managed tools like Fivetran and Supermetrics handle API changes for you. Self-hosted solutions like Airbyte require manual updates when Facebook makes breaking changes.

Can I connect multiple Facebook Ad accounts?

Yes. All connectors support multi-account setups. Essential for agencies or companies with separate accounts by brand, region, or product.

What about Facebook's data restrictions?

Post-iOS 14 tracking limitations affect the data Facebook collects, not the connectors. Connectors pull whatever data Facebook has.

Choose Your Facebook Ads Connector

The right connector depends on where your data needs to go and who's managing the setup.

For spreadsheet-first teams, Supermetrics gets you running in minutes. For data warehouse workflows, Fivetran or Stitch handle the complexity. For AI-powered analysis, MCP connectors let you skip the dashboard entirely.

Ready to connect your Facebook Ads data? Set up Facebook Ads MCP for Claude integration.