How does the X Ads to BigQuery pipeline handle authentication?

This creates a reliable data flow that automatically refreshes your campaign metrics on the schedule you configure.

What specific campaign information does the X Ads pipeline replicate?

The pipeline delivers 276 distinct fields including impression counts, engagement rates, spend data, and demographic breakdowns segmented by age, location, and device. You can analyze granular metrics such as cost per click and conversion tracking alongside audience targeting data for complete campaign visibility.

How often does X Ads data sync to my BigQuery tables?

Update frequency is fully configurable, allowing you to choose intervals from every 5 minutes for active campaign monitoring to daily batches for historical analysis. This automated scheduling ensures your BigQuery warehouse reflects current performance data without manual API calls or CSV uploads.

Can I join X Ads campaign data with sales data in BigQuery?

Absolutely, once your advertising metrics reside in BigQuery, you can write SQL queries that join X Ads impressions and clicks with CRM records, e-commerce transactions, or other marketing data. This enables advanced attribution modeling that connects social media spend directly to revenue outcomes.

What happens to my X Ads data schema when new fields are added?

Kondado automatically detects schema changes in the X Ads API and updates your BigQuery tables to accommodate new columns or modified data types. This schema evolution handling ensures your existing SQL queries continue running while capturing the latest advertising metrics as they become available.

Do I need to manually create BigQuery tables before sending X Ads data?

No, Kondado automatically provisions the necessary datasets and tables in your BigQuery project during the initial setup process. The platform manages table partitioning, column naming conventions, and data type assignments specifically optimized for X Ads campaign analytics.

Can I send X Ads data to visualization tools alongside BigQuery?

Yes, you can replicate data simultaneously to Looker Studio or Power BI for immediate dashboard creation, while maintaining BigQuery as your central analytics warehouse. This dual approach supports both operational reporting and deep data science workflows using the same X Ads datasets.

How do I filter which X Ads campaigns get replicated to BigQuery?

During pipeline configuration, you can select specific campaigns, date ranges, or account segments to replicate, ensuring only relevant advertising data consumes your BigQuery storage. This selective replication helps manage costs and keeps your warehouse focused on active marketing initiatives rather than historical test data.

Send data from X Ads to BigQuery

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Send X Ads Data to BigQuery

Sending X Ads data to BigQuery requires no engineering effort when you use an automated data replication platform. Simply authenticate your X Ads account, select BigQuery as your destination, and choose which advertising metrics you want to replicate. Kondado handles the technical complexity of extracting data from the X Ads API and loading it into your BigQuery warehouse on a schedule you configure, eliminating the need for custom Python scripts or manual CSV handling.

Kondado provides a direct pipeline from X Ads to BigQuery that replicates campaign performance data, including clicks, impressions, cost, and demographic segments, on a configurable schedule ranging from every 5 minutes to daily.

Once your data arrives in BigQuery, you can analyze advertising performance alongside other business metrics, build custom attribution models, and create automated reports that update as new data flows in. This eliminates manual CSV exports and ensures your marketing analytics always reflect the latest campaign results, enabling agencies and marketing teams to make data-driven decisions faster.

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

Available X Ads Pipelines for BigQuery

The Campaigns pipeline delivers comprehensive advertising metrics directly into your BigQuery environment, enabling deep analysis of tweet engagement and audience behavior. With 276 fields covering performance indicators like click-through rates, conversion tracking, and spend analysis alongside demographic breakdowns by age and location, you can build sophisticated marketing dashboards.

Combine this X Ads data with CRM information or sales figures from other sources in BigQuery to calculate true ROI on your social advertising spend. Create custom SQL queries that join campaign impressions with conversion events, or build automated reporting workflows in Looker Studio and Power BI that refresh as your data updates.

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Custom reports

This connector lets you create custom reports with dimensions and metrics of your choice. In addition to the pre-configured reports below, you can build tailored reports for your needs.

configurable report

276

extractable fields

Pre-configured reports

Report	Description
Campaigns	Analyze campaign performance with metrics such as clicks, cost, and impressions, along with segmentations by age and location.

Campaigns

Analyze campaign performance with metrics such as clicks, cost, and impressions, along with segmentations by age and location.

See all available data →

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How to send X Ads data to BigQuery

Sync data automatically — no code, no manual exports.

Connect Your X Ads Account

Authenticate your X Ads data source in Kondado by providing your API credentials, allowing the platform to access your campaign performance metrics and audience data.

Set Up BigQuery Destination

Configure your BigQuery project details including dataset name and service account permissions to ensure proper data loading into your Google Cloud environment.

Choose Pipelines and Schedule

Select the Campaigns pipeline and define your replication frequency, choosing from intervals between every 5 minutes and daily updates to match your reporting requirements.

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