No-code pipeline · Bing → BigQuery

Send data from Bing to BigQuery

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From Bing to BigQuery: managed, scheduled, no code.
Creating a pipeline that sends data from Bing to BigQuery data warehouses takes only a few minutes with Kondado. And the whole integration from Bing to BigQuery is managed and executed by our platform. With Kondado, you can focus on extracting value from Bing data and combining it with other data in your BigQuery data warehouse

Send Bing Data to BigQuery Automatically

Kondado provides a direct integration between Bing and BigQuery, allowing you to replicate advertising metrics without writing code. Configure your data source by selecting the specific dimensions and metrics you need from your Bing Ads account, including campaign performance, keyword statistics, and conversion data. The platform automatically transfers your selected data to your BigQuery dataset on a configurable schedule, eliminating manual exports and CSV uploads. Whether you need updates every five minutes or daily batches, Kondado maintains a continuous flow of fresh advertising data into your analytics environment.

Once your Bing data resides in BigQuery, you can join it with CRM records, web analytics, or sales data to calculate true ROAS and build comprehensive attribution models. Marketing teams gain the ability to analyze search performance alongside other channels, creating unified dashboards that reveal cross-platform customer journeys and optimization opportunities.

Kondado replicates Bing advertising data to BigQuery automatically on a configurable schedule, allowing analysts to build custom reports combining search metrics with business data from other sources.

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

Available Bing Data in BigQuery

The Custom Report pipeline captures the specific dimensions and metrics you define in your Bing Ads account, delivering structured advertising data directly into your BigQuery warehouse. Once replicated, you can combine this search performance data with CRM records, web analytics, or sales figures stored in BigQuery to calculate true ROAS and customer acquisition costs. Marketing teams use this consolidated data to build attribution models in Looker Studio or Power BI, while data scientists run SQL queries to identify high-performing keywords and audience segments across campaigns.

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Replicated to BigQuery

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.

1
configurable report
6
extractable fields
BigQuery
Destination

Pre-configured reports

Relatório customizado
Fully customizable report with dimensions and metrics defined by you

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How to send Bing data to BigQuery

Sync data automatically — no code, no manual exports.

1
Connect Your Bing Ads Account

Authenticate your Bing advertising account in Kondado by providing your API credentials, granting the platform permission to access your campaign data and advertising metrics.

2
Configure Your BigQuery Destination

Set up BigQuery as your destination by specifying the target dataset and project ID where your Bing advertising data should be stored for analysis.

3
Select Custom Report and Schedule

Choose the Custom Report pipeline to define which dimensions and metrics to replicate, then set your preferred update frequency from five-minute intervals to daily syncs based on your reporting needs.

Try out all the features for free for 14 days

Hundreds of data-driven companies trust Kondado
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Send data from Bing to other destinations

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Frequently Asked Questions (FAQ)

Answers about sending Bing data to BigQuery automatically

How does Kondado replicate Bing data to BigQuery?
Kondado connects directly to your Bing Ads account via API and transfers your selected metrics to BigQuery on a schedule you configure. The platform handles authentication, data extraction, and loading without requiring you to write extraction scripts or manage API limits manually.
What specific Bing advertising metrics can I replicate to BigQuery?
Through the Custom Report pipeline, you choose exact dimensions and metrics from your Bing Ads account such as campaign performance, keyword statistics, audience data, and conversion tracking. This flexibility ensures you only replicate the specific advertising intelligence your analytics team needs for reporting.
How often can I update Bing data in BigQuery?
You can configure updates to run every five minutes, fifteen minutes, hourly, or daily depending on your reporting requirements. This automated scheduling ensures your BigQuery datasets contain current advertising performance data without manual intervention or delayed reporting cycles.
What format does Bing data arrive in within BigQuery?
Data arrives as structured tables within your specified BigQuery dataset, preserving the exact schema defined in your Custom Report configuration. Each field maintains its original data type from Bing Ads, allowing immediate SQL querying and compatibility with visualization tools like Looker Studio or Power BI.
Can I combine Bing data with other marketing sources in BigQuery?
Yes, once replicated to BigQuery, you can join Bing advertising metrics with data from other sources such as Google Ads, Facebook, or your internal CRM systems. This consolidation enables cross-channel attribution analysis and unified marketing dashboards that span multiple advertising platforms.
Do I need technical skills to set up the Bing to BigQuery pipeline?
No coding is required to establish the connection, you simply authenticate your Bing Ads account and select your desired metrics through Kondado's interface. The platform manages the technical complexity of API connections and BigQuery schema creation automatically.
How do I select which Bing Ads dimensions and metrics to replicate?
During setup, you choose the Custom Report pipeline which allows you to pick specific dimensions and metrics from your Bing Ads account, creating a tailored dataset rather than importing unnecessary fields. This targeted approach optimizes storage costs and query performance in BigQuery.

Try out all the features for free for 14 days

Try out all the features for free for 14 days