Connect Linkedin Ads to Google BigQuery

Connect LinkedIn Ads to Google BigQuery in 2023

It is very simple to connect LinkedIn Ads to Google BigQuery, it can be done in a fast and easy manner with Windsor.ai.

First Step:

Sign up for Windsor.ai. You can also take advantage of the free trial to get a feel of the platform and see its features.

Once in your account’s dashboard, select Linkedin Ads in the left column as a data source.

Second Step:

Once you select the data source, click the Next (Data Preview Button). 

Select BigQuery by clicking on the logo, as shown in the screenshot below.  

Third Step:

Once you select Bigquery, click the Add Destination Task Button and fill out necessary fields . 

Fourth Step:

In the final step, grant access to the user: bq-upload@windsor-ai-bigquery.iam.gserviceaccount.com. That’s all!

Once you go through these steps, you will see that the data is automatically populated into your BigQuery account.

Note: As a connector URL, you can use any URL providing a JSON. Either from the connectors or for example a URL with cached and transformed data.

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Why Move Data From Linkedin Ads to BigQuery?

Here are some reasons why organizations might choose to transfer their data from LinkedIn Ads to BigQuery:

1. Centralized data storage: LinkedIn Ads generates valuable data about your advertising campaigns, including impressions, clicks, conversions, and audience demographics. By moving this data to BigQuery, you can centralize it with other marketing and sales data from various sources, such as your website, CRM system, or other advertising platforms. This consolidation allows for comprehensive analysis and reporting across all your marketing efforts.
2. Scalability and performance: BigQuery is a highly scalable and fully managed data warehouse provided by Google Cloud. It can handle large volumes of data and execute complex queries quickly, enabling efficient analysis of your LinkedIn Ads data. With its serverless architecture, you don’t need to worry about infrastructure provisioning or maintenance, and you can easily scale your data processing as needed.
3. Advanced analytics capabilities: BigQuery offers powerful analytical capabilities, including SQL queries, machine learning, and data visualization tools. By migrating your LinkedIn Ads data to BigQuery, you can leverage these features to gain deeper insights into your advertising performance, audience segmentation, campaign optimization, and ROI analysis. This helps you make data-driven decisions and improve the effectiveness of your marketing strategies.
4. Integration with other tools: BigQuery integrates seamlessly with other components of the Google Cloud ecosystem, as well as with various data visualization and business intelligence tools. This integration allows you to combine and analyze data from multiple sources, perform advanced data modeling, create interactive dashboards, and build machine learning models based on your LinkedIn Ads data. You can gain a holistic view of your marketing efforts and integrate insights into your existing reporting and analytics workflows.
5. Data warehousing capabilities: BigQuery provides robust data warehousing capabilities, including data partitioning, clustering, and data lifecycle management. These features enable you to organize and manage your LinkedIn Ads data efficiently, improving query performance and reducing costs by optimizing storage and query execution.
6. Long-term data retention: LinkedIn Ads has limitations on data retention, typically providing access to a limited historical data window. By migrating your data to BigQuery, you can retain your LinkedIn Ads data for longer periods, allowing you to perform trend analysis, evaluate seasonality, and compare performance over time. This historical data can provide valuable insights for optimizing your advertising strategies and understanding long-term trends.
7. Custom reporting and attribution: With your LinkedIn Ads data in BigQuery, you have the flexibility to create custom reports, perform attribution modeling, and analyze the impact of your LinkedIn campaigns on various marketing and sales metrics. This enables you to measure the effectiveness of your advertising efforts, identify high-performing segments, and optimize your budget allocation based on data-driven insights.

Conclusion

Set up LinkedIn Ads to Google BigQuery integration to create a detailed picture of the entire customer journey by combining data from multiple data sources.

Windsor.ai is an ETL tool that integrates with multiple sources or services like databases, CRM, email campaigns, analytics and more. Quickly and safely move all your data from LinkedIn Ads into BigQuery and start generating insights from your data.

See how easy it is to migrate data from LinkedIn Ads to Google BigQuery and try Windsor.ai by signing up for a 30-day free trial.

Try Windsor.ai today

Access all your data from your favorite sources in one place.
Get started for free with a 30 - day trial.

Start Free Trial