How do I connect Meta Ads to BigQuery without coding?

Kondado offers a no-code approach where you authenticate your Meta Ads account and select BigQuery as your destination. Choose from 14 available pipelines including Campaign performance and Lead forms, then set your preferred update frequency. Data begins replicating immediately without requiring API development or manual exports.

What Meta Ads metrics are available in BigQuery?

Kondado replicates 1,569 fields across 14 pipelines, including impressions, clicks, CPC, CPM, and lead form conversions from the Campaign performance, Ad performance, and Lead forms pipelines. You can analyze account-level spend, ad set details, and post engagement metrics alongside your other business data in BigQuery.

How frequently does Meta Ads data update in BigQuery?

You can configure updates to run every 5 minutes, 15 minutes, hourly, or daily depending on your analysis needs. This automated schedule ensures your BigQuery datasets reflect recent campaign activity without manual intervention or delayed reporting cycles.

Can I combine Meta Ads data with other sources in BigQuery?

Yes, once replicated to BigQuery, you can join Meta Ads metrics with data from other sources like PostgreSQL , Google Sheets , or CRM systems. This enables comprehensive attribution analysis and unified reporting across your entire marketing and sales stack.

What format does Meta Ads data take in BigQuery?

Data arrives as structured datasets optimized for SQL querying, with each pipeline corresponding to specific schemas containing fields like campaign IDs, spend amounts, and engagement metrics. The structure preserves relationships between campaigns, ad sets, and individual ads for accurate hierarchical analysis.

Are there pre-built dashboards for Meta Ads data?

Yes, Kondado provides ready-made report templates including the Meta Ads Looker Studio Report and Meta Ads Power BI Report. These templates connect directly to your BigQuery data, allowing immediate visualization of campaign performance without building charts from scratch.

How do I analyze lead form data from Meta Ads in BigQuery?

Use the Lead forms pipeline to replicate conversion data and collected contact information into BigQuery, then query this data to calculate cost per lead and conversion rates. You can join this information with sales data to track leads through your entire funnel and optimize form performance.

Send data from Meta Ads to BigQuery

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Send Meta Ads Data to BigQuery Automatically

Connecting Meta Ads to BigQuery enables comprehensive analysis of your advertising performance alongside other business data. Kondado provides a direct connection that replicates your marketing metrics to BigQuery on a configurable schedule, eliminating manual data exports and CSV handling. Simply authenticate your Meta Ads account, select your destination, and choose which pipelines to replicate.

Kondado automatically replicates Meta Ads data to BigQuery every 5 minutes, 15 minutes, hourly, or daily based on your configuration, making campaign metrics, lead forms, and engagement data available for SQL analysis and business intelligence.

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

With the Campaign performance and Ad performance pipelines, you can analyze cost per thousand impressions, click-through rates, and conversion metrics directly in BigQuery using standard SQL queries. The Lead forms pipeline brings conversion data and contact information into your warehouse, allowing you to join this data with CRM records or sales data to calculate true acquisition costs and optimize your funnel. These pipelines enable agencies and marketing teams to build custom attribution models and automated reporting workflows that refresh on your chosen schedule.

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Meta Ads data available for BigQuery

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 BigQuery

Sync data automatically — no code, no manual exports.

Connect Your Meta Ads Account

Authenticate your Meta Ads data source in Kondado by providing your account credentials and permissions. Select the ad accounts you want to replicate data from.

Configure BigQuery Destination

Set up BigQuery as your destination by specifying your project ID, dataset, and table naming preferences. Kondado will create the necessary schema to store your Meta Ads metrics.

Select Pipelines and Schedule

Choose from 14 available pipelines such as Campaign performance or Lead forms, then configure your update frequency to run every 5 minutes, hourly, or daily. Activate the replication to begin automated data transfers.

Try out all the features for free for 14 days