Connect Google Ads to BigQuery
Sync Google Ads with BigQuery using the Windsor.ai connector and manage your ads data in managed cloud storage. Windsor.ai does not require any coding and extracts data from Google Ads in just five minutes.
Why Do I Need Google Ads and BigQuery Integration?
When you extract data from Google Ads to BigQuery, you use the database’s features to manage your ad data effectively. Here are additional benefits from the move.
Data Centralization
The integration enables the consolidation of Google Ads data with other business data stored in BigQuery. This centralization simplifies data management, as all data can be accessed in one place.
Automated Data Transfer
Connector dataflows automatically sync Google Ads data with BigQuery without manual input, which ensures that your data is always up-to-date. This enables you to always analyze the most recent information from your ads.
Comprehensive Ad Data Modeling
You conduct more comprehensive ad data modeling on the database. Data modeling helps make comparisons easier and cleans the content. For example, you can tally ad performance with sales data to optimize campaigns.
Leverage BigQuery’s Analytics Tools
Google Ads and BigQuery data integration enables you to leverage BigQuery’s analytics and reporting tools to gain deeper insights into your advertising performance. You make custom queries, perform advanced data visualizations, and automate reporting.
Limitations of using BigQuery Data Transfer Service to Connect Google Ads to BigQuery
While using BigQuery Data Transfer Service to connect Google Ads to BigQuery has its advantages, there are some limitations to consider:
- Limited historical data transfer: The Data Transfer Service has a maximum limit of 180 days per data backfill request. If you require historical data beyond this timeframe, you would need to manually transfer the data, which can be time-consuming and may require additional technical resources.
- Technical expertise required: Setting up and managing the data transfer process using the Data Transfer Service typically requires technical expertise. If your business teams are not tech-savvy, you may need to invest in training or allocate technical resources to handle the data transfer, which can be costly.
- Location compatibility: BigQuery does not allow joining datasets saved in different location servers later. This means that when setting up datasets initially, you need to ensure they are in the same locations across your project. It’s important to plan and configure the locations correctly from the start as there is no option to change the location later.
- Limited data transformation capabilities: The Data Transfer Service is primarily designed for transferring data and does not offer advanced data transformation capabilities. For example, if you need to convert timestamps from UTC to PST or perform other data transformations during the transfer process, you would need to handle these transformations separately before or after the data is transferred.
- Limited data source support: The Data Transfer Service is specifically designed to bring data from Google products into BigQuery. If you have data from other sources such as Salesforce, Mailchimp, Intercom, or other non-Google platforms, you would need to use alternative methods or services to transfer and integrate that data into BigQuery.
How to connect Google Ads to BigQuery
1. Register
Register or login if you already have an account.
2. Select your source
You need to select Google Ads as a Data Source and Grant Access to Windsor.ai.
3. Select Destination
Choose BigQuery as the destination.
4. Create a destination task
Click the Add Destination Task Button and fill out the necessary fields.
5. Sync your Data
In the final step, grant access to the user: [email protected]. 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.
FAQs
What is Google Ads?
Google Ads is a popular online advertising platform offered by Google. The platform allows businesses to create and display advertisements across Google’s network, such as on websites, search results, and apps. Its Pay-Per-Click (PPC) advertising enables advertisers to bid to show their ads in search results and other locations so that they pay only when users click them.
The platform also enables ad targeting based on factors like location, keywords, demographics, and user behavior. You can also integrate with other Google services like Google My Business and Google Analytics and track the performance of each ad.
What is BigQuery?
BigQuery is Google’s serverless data warehouse that helps make large-scale data analytics. The service is offered as part of the Google Cloud Platform (GCP). Its serverless structure abstracts infrastructure management so that users can focus on querying data and not the underlying setup.
BigQuery’s highly scalable architecture enables it to handle petabyte-scale datasets and perform super-fast queries. This tool also integrates with Google’s AI tools, which allow users to perform machine learning tasks directly within the platform.
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