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Bing Ads
Azure Data Lake

Integrate Bing Ads with Azure Data Lake

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

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Easy Bing Ads to Azure Data Lake integration with RudderStack

RudderStack’s open source Bing Ads integration allows you to integrate RudderStack with your Bing Ads to track event data and automatically send it to Azure Data Lake. With the RudderStack Bing Ads integration, 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 Azure Data Lake and RudderStack

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 Azure Data Lake costs engineering time, while ETL providers like RudderStack generally charge by the number of rows loaded.

RudderStack Azure Data Lake Documentation

Refer to our step-by-step guide and start using Azure Data Lake today

About Azure Data Lake

Microsoft Azure Data Lake is a secure and scalable data lake that lets you store data of varying sizes and complexity. It also allows you to write your own code to perform operational or transactional data transformation and analysis tasks.