No-code pipeline · Facebook Ads → SQL Server

Send data from Facebook Ads to SQL Server

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From Facebook Ads to SQL Server: managed, scheduled, no code.

Creating a pipeline that sends data from Facebook Ads to SQL Server databases takes only a few minutes with Kondado. And the whole integration from Facebook Ads to SQL Server is managed and executed by our platform. With Kondado, you can focus on extracting value from Facebook Ads data and combining it with other data in your SQL Server database

Connect Facebook Ads now →

Replicate Facebook Ads Data to SQL Server

Kondado provides a direct integration that lets you replicate Facebook Ads data to SQL Server without writing code. Simply connect your Facebook Ads data source, configure your SQL Server destination, and select which pipelines you want to replicate from the available 14 data endpoints. The platform handles the data extraction and loading automatically on your chosen schedule, delivering structured advertising metrics directly into your database for immediate analysis.

Once configured, your campaign performance metrics flow continuously into SQL Server where you can combine them with sales, CRM, or financial data for comprehensive cross-channel analysis. This eliminates manual CSV exports and ensures your marketing data stays synchronized with your existing business intelligence infrastructure, enabling faster decision making.

Kondado automatically replicates 14 Facebook Ads pipelines containing 1,569 fields to SQL Server on a configurable schedule ranging from every 5 minutes to daily, enabling automated advertising analytics workflows without manual API extraction.

Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required

Available Facebook Ads Pipelines for SQL Server

With the Campaign performance and Ad performance pipelines, you can build comprehensive ROI analysis directly in SQL Server by joining advertising spend data against revenue information from your ERP or e-commerce platform. The Lead forms pipeline captures prospect information automatically, allowing you to create SQL queries that track lead quality from initial capture through conversion in your sales pipeline. These combined datasets enable sophisticated attribution modeling and budget optimization workflows that update automatically as new advertising data arrives in your database, eliminating the lag between campaign execution and performance insights.

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Replicated to SQL Server

Facebook Ads data available for SQL Server

Tables Kondado writes into your SQL Server, on a schedule you control.

available pipelines

1569

extractable fields

SQL Server

Destination

Available integrations

Ad account performance

Analyze account performance with metrics such as total spend, account status, and age of the account.

Ad accounts

View information on ad accounts, including name, account ID, and account status.

Ad metadata

Explore ad details such as ad ID, account ID, and ad set name.

Ad performance

Evaluate ad performance with metrics such as impressions, clicks, and cost per click.

Ad preview

Preview ads including creative content and targeting settings.

Ad set performance

Analyze ad set performance with metrics such as impressions, clicks, and total cost.

Adset metadata

Examine ad set metadata including ID, name, and status.

Campaign metadata

View campaign metadata such as campaign ID, name, and status.

Campaign performance

Analyze campaign performance with metrics such as impressions, clicks, and cost per acquisition.

Lead forms

Examine lead forms including fields, status, and captured data.

Page Metrics

Analyze impressions, clicks, and engagement of the page, including fields like page name, business city, and account status.

Page: Posts

Examine post performance with metrics such as impressions, clicks, post ID, and ad set name.

Pages

Provides information about pages, including business name, address, and account status, allowing an overview of operations.

Post Metrics

Evaluate post performance with metrics such as clicks, impressions, and cost, along with ad ID and ad set ID.

See all available data → Send Facebook Ads to SQL Server →

Try out all the features for free for 14 days

How to send Facebook Ads data to SQL Server

Sync data automatically — no code, no manual exports.

Connect Your Facebook Ads Account

Log into Kondado and add Facebook Ads as a new data source by authenticating with your Business Manager credentials. Grant permissions for the ad accounts you want to replicate, allowing the platform to access campaign metadata and performance metrics.

Configure SQL Server Destination

Enter your SQL Server connection details including server address, database name, and authentication credentials to establish the target location. This database can also feed Power BI or Looker Studio dashboards, creating a complete analytics stack.

Select Pipelines and Schedule

Choose from the 14 available Facebook Ads pipelines such as Campaign performance or Lead forms, then set your update frequency to run every 5 minutes, hourly, or daily based on your business needs. Activate the replication to begin automated data flows into your SQL Server database.

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Send data from Facebook Ads to other destinations

Facebook Ads > Looker Studio

Facebook Ads > Power BI

Other visualizations

Facebook Ads > Amazon S3

Facebook Ads > BigQuery

Facebook Ads > Excel

Facebook Ads > Google Sheets

Facebook Ads > MySQL

Facebook Ads > PostgreSQL

Facebook Ads > Redshift

Facebook Ads > SQL Server

Choose a tool to visualize your Facebook Ads data

If the software you need is not listed, drop us a messagem. You can use almost every tool

Facebook Ads > Airtable

Facebook Ads > Alteryx

Facebook Ads > Amazon Quicksight

Facebook Ads > BIMachine

Facebook Ads > Cortex

Facebook Ads > Data Studio

Facebook Ads > Geckoboard

Facebook Ads > Grafana

Facebook Ads > IBM Cognos Analytics

Facebook Ads > Klipfolio

Facebook Ads > Looker Studio

Facebook Ads > Looker

Facebook Ads > Looqbox

Facebook Ads > Metabase

Facebook Ads > Microstrategy

Facebook Ads > Pentaho

Facebook Ads > Power BI

Facebook Ads > Qlik Cloud Analytics

Facebook Ads > Qlik Sense

Facebook Ads > Qlik

Facebook Ads > QlikView

Facebook Ads > Redash

Facebook Ads > Superset

Facebook Ads > Tableau

Facebook Ads > BI TOTVS

Facebook Ads > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending Facebook Ads data to SQL Server automatically

How does Facebook Ads to SQL Server replication work? ▼

Kondado connects to the Facebook Marketing API to extract your advertising data and loads it directly into your SQL Server database. You authenticate your Facebook Ads account once, then select which pipelines to enable from the 14 available options. The system maintains this connection and updates your data automatically according to the schedule you configure, handling API rate limits and data formatting automatically.

What Facebook Ads metrics and dimensions are available in SQL Server? ▼

You can access 1,569 fields across 14 pipelines including campaign metadata, ad set performance, lead form submissions, and page metrics. This covers everything from basic spend and impression data to detailed targeting parameters and creative metadata. The data arrives in structured format ready for SQL joins with your existing business data.

How often does Facebook Ads data update in SQL Server? ▼

You can configure updates to run every 5 minutes, 15 minutes, hourly, or daily depending on your analysis needs and API rate limits. Near-real-time updates support active campaign monitoring, while daily schedules work well for historical trend analysis. The schedule applies individually to each pipeline, letting you prioritize critical performance data over slower-moving metadata.

Can I combine Facebook Ads data with other marketing sources in SQL Server? ▼

Yes, SQL Server serves as a central repository where Facebook Ads data can join with information from other advertising platforms or business systems you replicate into the same database. Create unified marketing views that compare campaign performance across channels, or blend advertising spend with sales data from your CRM. This consolidation eliminates data silos and provides a single source of truth for marketing attribution analysis.

What format does Facebook Ads data take when replicated to SQL Server? ▼

Data arrives as structured relational tables with appropriate data types for each metric, dimension, and metadata field. Numeric values maintain precision for financial calculations, while timestamps use standard SQL Server datetime formats for easy querying. The schema preserves relationships between campaigns, ad sets, and ads, enabling natural SQL joins without complex data transformation.

Are there pre-built dashboards available for Facebook Ads data? ▼

Yes, Kondado offers ready-made report templates including the Meta Ads Looker Studio Report and Meta Ads Power BI Report that visualize your replicated data immediately. These templates connect directly to SQL Server and display key metrics like cost per acquisition, click-through rates, and campaign ROI without requiring you to build visualizations from scratch. You can customize these dashboards or use them as starting points for more complex analysis tailored to your business needs.

Which specific Facebook Ads objects can I replicate to SQL Server? ▼

Available pipelines include Campaign performance, Ad set performance, Ad performance, Lead forms, Page Posts, and Account-level metrics among 14 total options. Each pipeline contains specific entities such as creative metadata, targeting parameters, engagement statistics, and form submission data. You can enable only the pipelines relevant to your analysis needs, reducing unnecessary data transfer and storage costs.

Do I need technical skills to set up Facebook Ads to SQL Server replication? ▼

No coding is required to establish the connection between Facebook Ads and SQL Server through Kondado's interface. You provide authentication credentials for both systems, select your desired pipelines using the visual data source browser, and set your update schedule through dropdown menus. Basic familiarity with SQL Server connection strings helps, but the platform handles API complexities and data mapping automatically.

Try out all the features for free for 14 days

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Try out all the features for free for 14 days