Integrate Twitter Ads with Google BigQuery

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

Request a demo

Easy Twitter Ads to Google BigQuery integration with RudderStack

RudderStack’s open source Twitter Ads integration allows you to integrate RudderStack with your Twitter Ads to track event data and automatically send it to Google BigQuery. With the RudderStack Twitter 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.

Available via webhook

Add Twitter Ads as a source in RudderStack by enabling a webhook source in your RudderStack dashboard, then using our Transformations feature to re-shape the incoming payload. Once configured, RudderStack will send data from your Twitter Ads source to any destinations you connect. (Note, you will need to configure outbound webhooks in Twitter Ads.)

Popular ways to use Google BigQuery 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

Can you export data from Twitter Ads?

Depending on the format, there are multiple ways to export data from Twitter Ads, whether manually, through a native integration or through a data platform like RudderStack.

How do you load data from Twitter Ads into Google BigQuery?

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.

How much does it cost to load data from Twitter Ads into Google BigQuery?

Building your own integration between Twitter 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

Python SDK

RudderStack SDKs

Jekyll

E-Commerce Platforms

RudderStack Google BigQuery Documentation

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

About Google BigQuery

Google BigQuery is an industry-leading fully-managed cloud data warehouse that allows you to store and analyze petabytes of data in no time and leverage Google’s machine learning features. RudderStack lets you add Google BigQuery as a destination where you can send your customer event data and params from the data source of your choice., without the pain of detailed setup or custom pipeline development. Setting up a pipeline to BigQuery cloud storage requires a significant amount of detailed engineering work, dealing with googleapis, config files, commands like createdataset and create table and more. With RudderStack, you simply need to set up a service account for authentication in Google Cloud Platform, ensure your IAM profile has the correct permissions and then specify the required details (like projectid). From there, RudderStack will take care of sending data directly to GCP (google-cloud/bigquery), including metadata, without you having to manage a cloud client library, set up a new git workflow in your command line or spend engineering cycles trying to optimize loads. In fact, with RudderStack’s streaming integrations you can even send data to Google in real-time. If you have multiple databases, RudderStack also allows you to send data to relational databases like PostgreSQL, SQL server, mySQL and more.

About Twitter Ads

Twitter is a social network that allows anyone to Tweet their ideas in 280 characters and connect with millions of people around the world.