How does Kondado replicate Meta Ads data to PostgreSQL?

Kondado connects directly to your Meta Ads account using your credentials and extracts selected pipelines through the Marketing API. The platform automatically loads this data into your PostgreSQL tables on your chosen schedule, handling schema creation and updates as your campaigns evolve. You configure which of the 14 available pipelines to replicate, from account performance to lead forms, without writing any code.

What specific Meta Ads metrics can I analyze in PostgreSQL?

You can access 1569 fields across 14 pipelines including Campaign Performance metrics like impressions and CPM, Ad Performance data such as clicks and CPC, and Lead Forms conversion details. The Page Metrics and Post Metrics pipelines provide engagement statistics to compare organic versus paid reach. This comprehensive dataset enables custom SQL analysis of your advertising ROI directly within your database.

How frequently can I update Meta Ads data in PostgreSQL?

Kondado offers configurable update schedules ranging from every 5 minutes to daily, hourly, or custom intervals based on your reporting needs. Near-real-time updates ensure your dashboards reflect recent campaign changes, while longer intervals suit historical trend analysis. You can adjust these frequencies per pipeline to optimize API usage and database performance.

Can I combine Meta Ads data with other marketing sources in PostgreSQL?

Yes, Kondado connects 80+ sources that can all replicate data into the same PostgreSQL database alongside your Meta Ads campaigns. Centralize advertising metrics from multiple platforms, CRM records, and e-commerce transactions to create unified customer views and cross-channel attribution models. This consolidated approach enables comprehensive SQL analysis across all your marketing and sales data within a single analytical warehouse.

Does Kondado provide ready-made dashboards for Meta Ads analysis?

Yes, Kondado offers pre-built report templates including the Meta Ads Looker Studio Report and Meta Ads Power BI Report to visualize your PostgreSQL data immediately. These templates connect directly to your database to display campaign performance, audience insights, and conversion metrics without requiring dashboard construction from scratch. You can customize these reports or build additional visualizations using your preferred business intelligence tools.

How is Meta Ads data structured when it arrives in PostgreSQL?

Each pipeline creates dedicated tables in your PostgreSQL database with normalized schemas that preserve the original field relationships from the Meta Marketing API. Campaign, ad set, and ad metadata arrive with their respective performance metrics in separate but related structures, enabling efficient SQL joins for complex queries. The data maintains standard data types compatible with PostgreSQL's advanced analytical functions and indexing capabilities.

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Send Meta Ads Data to PostgreSQL Automatically

How to send Meta Ads data to PostgreSQL? Kondado provides a direct connection that replicates your advertising metrics from Facebook and Instagram campaigns into your PostgreSQL database on a configurable schedule. Simply select your Meta Ads data source, authenticate your account, and choose which pipelines you need from the 14 available options containing 1569 fields. The platform handles the data extraction and loading automatically, eliminating manual CSV exports and maintaining fresh datasets for your analytics workflows. Once your data arrives in PostgreSQL, you can combine it with other business data to build comprehensive performance dashboards, calculate custom attribution models, and optimize your advertising spend across all channels with SQL queries.

Kondado replicates Meta Ads data to PostgreSQL automatically on a configurable schedule, offering 14 pipelines including Campaign Performance, Ad Performance, and Lead Forms with 1569 fields available for analysis.

With Kondado, agency analysts and marketing teams can centralize their Meta Ads intelligence alongside CRM data, revenue figures, or inventory systems within PostgreSQL. This unified approach enables deeper insights into customer acquisition costs, lifetime value calculations, and cross-platform campaign effectiveness without switching between multiple interfaces.

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

Replicate the Campaign Performance and Ad Performance pipelines to track impressions, clicks, and cost per thousand impressions directly in your PostgreSQL database. Marketing teams can join this advertising data with sales records stored in PostgreSQL to calculate precise return on ad spend and identify high-performing audience segments. Additionally, analysts leverage the Lead Forms pipeline to correlate conversion data with customer profiles for advanced segmentation strategies, enabling automated reporting on lead quality and campaign effectiveness. You can also analyze Page Metrics and Post Metrics alongside advertising data to understand organic versus paid performance patterns within your unified data warehouse.

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Meta Ads data available for PostgreSQL

available pipelines

1569

extractable fields

Available integrations

Integration	Description
Ad account performance	Analyze account performance with metrics such as total spend, account status, and age of the account.
Ad accounts	View information about ad accounts, including name, account ID, and currency used.
Ad metadata	Examine 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 (CPC).
Ad preview	Preview the appearance of ads before delivery, including creatives and formats.
Ad set performance	Analyze ad set performance with metrics such as impressions, clicks, and total cost.
Adset metadata	Explore information about ad sets, including ad set ID and name.
Campaign metadata	Review campaign metadata such as campaign ID and campaign name.
Campaign performance	Measure campaign performance with metrics such as impressions, clicks, and cost per thousand impressions (CPM).
Lead forms	Analyze lead forms, including conversion data and collected contact information.
Page Metrics	Analyze metrics such as impressions, clicks, and page engagement to understand overall performance and audience interaction.
Page: Posts	Examine post details including post ID, number of clicks, and reach to measure the effectiveness of each publication.
Pages	Provides information about pages including name, city, and country for an overview of associated ad accounts.
Post Metrics	Evaluates post metrics such as clicks, impressions, and cost per click to optimize content and advertising investment.

Ad account performance

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

Ad accounts

View information about ad accounts, including name, account ID, and currency used.

Ad metadata

Examine 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 (CPC).

Ad preview

Preview the appearance of ads before delivery, including creatives and formats.

Ad set performance

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

Adset metadata

Explore information about ad sets, including ad set ID and name.

Campaign metadata

Review campaign metadata such as campaign ID and campaign name.

Campaign performance

Measure campaign performance with metrics such as impressions, clicks, and cost per thousand impressions (CPM).

Lead forms

Analyze lead forms, including conversion data and collected contact information.

Page Metrics

Analyze metrics such as impressions, clicks, and page engagement to understand overall performance and audience interaction.

Page: Posts

Examine post details including post ID, number of clicks, and reach to measure the effectiveness of each publication.

Pages

Provides information about pages including name, city, and country for an overview of associated ad accounts.

Post Metrics

Evaluates post metrics such as clicks, impressions, and cost per click to optimize content and advertising investment.

See all available data →

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How to send Meta Ads data to PostgreSQL

Sync data automatically — no code, no manual exports.

Connect Meta Ads Account

Authenticate your Meta Ads data source by providing your account credentials and granting API access permissions to Kondado. Select the ad accounts you want to replicate data from and verify the connection before proceeding to destination setup.

Configure PostgreSQL Destination

Enter your PostgreSQL database connection details including host, port, database name, and authentication credentials. Kondado validates the connection and prepares the target environment to receive your advertising data structures.

Select Pipelines and Schedule

Choose from the 14 available pipelines such as Campaign Performance, Ad Performance, or Lead Forms, then set your preferred update frequency from 5-minute intervals to daily schedules. Activate the replication to begin automated data transfers from Meta Ads to your PostgreSQL database.

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