Bing Ads
Amazon Redshift
Integrate Bing Ads with Amazon Redshift
Don't go through the pain of direct integration. RudderStack’s Bing Ads integration makes it easy to send data from Bing Ads to Amazon Redshift and all of your other cloud tools.
Request a demo
Easy Bing Ads to Amazon Redshift integration with RudderStackRudderStack’s open source Bing Ads integration allows you to integrate RudderStack with your Bing Ads to track event data and automatically send it to Amazon Redshift. 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 Amazon Redshift and RudderStack
Query campaign performance dataImport analytics-ready campaign performance data into your warehouse. Select the data points you need and sync with the click of a button.
Calculate true ROASUse rich data to calculate how much return you get for each campaign, ad group and ad.
Optimize paid campaignsUnderstand 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 Amazon Redshift costs engineering time, while ETL providers like RudderStack generally charge by the number of rows loaded.
Use the Amazon Redshift integration with other popular sources
About Amazon Redshift

Amazon Redshift is the world's fastest cloud data warehouse. It allows you to handle large analytical workloads with best-in-class performance, speed, and efficiency. With Redshift, you don't have to worry about the scale of your data or the cost of running queries on them.