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Bing AdsGoogle BigQuery

Integrate your Bing Ads with Google BigQuery

Don't go through the pain of direct integration. RudderStack’s Bing Ads makes it easy to send data from your Bing Ads to Google BigQuery and all of your other cloud tools.

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Easy Bing Ads to Google BigQuery integration with RudderStack

RudderStack’s open source Bing Ads allows you to integrate RudderStack with your Bing Ads to track event data and automatically send it to Google BigQuery. With the RudderStack Bing Ads, you do not have to worry about having to learn, test, implement or deal with changes in a new API and multiple endpoints every time someone asks for a new integration.

Popular ways to use Google BigQuery
Query campaign performance data

Import analytics-ready campaign performance data into your warehouse. Select the data points you need and sync with the click of a button.

Calculate true ROAS

Use rich data to calculate how much return you get for each campaign, ad group and ad.

Optimize paid campaigns

Understand which combinations of ads, spend and targeting work and use that insight to optimize new and existing paid campaigns.

Frequently Asked Questions
Depending on the format, there are multiple ways to export data from Bing Ads, whether manually, through a native integration or through a data platform like RudderStack.
There are two primary ways: First, you could write your own code script to pull the data and load it via API. Second, you could use an ETL integration provider like RudderStack to load the data automatically.
Building your own integration between Bing Ads and Google BigQuery costs engineering time, while ETL providers like RudderStack generally charge by the number of rows loaded.
Use the Google BigQuery integration with other popular sources

AMP Analytics SDK

RudderStack SDKs

Unity SDK

RudderStack SDKs

RudderStack Google BigQuery Documentation

Refer to our step-by-step guide and start using Google BigQuery today

About Google BigQuery

BigQuery is a highly scalable and robust data warehouse offering by Google. Its serverless architecture is aligned to the modern data application requirements and allows you to make quick, data-driven decisions through its state-of-the-art analytics capabilities. As a modern data warehouse solution, BigQuery is built to handle large data workloads with ease. It is a highly cost-effective solution, giving you all the resources you need to transform your data into valuable business insights at a reasonable price.