Connect Google Ads to BigQuery without coding

Export your Google Ads data to BigQuery automatically on a schedule. With Coupler.io, you can set an automated integration in just a few minutes.

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Why export Google Ads to BigQuery

Back up your data and organize archives

Make sure that unexpected surprises cannot affect your marketing data. Keep it safe by maintaining a backup copy at BigQuery data warehouse. Once your data is loaded into the cloud and encrypted, it will be securely stored there, always available for future use. Coupler.io can automatically send data from Google Ads to BigQuery according to your preferred schedule. This means your backup copy in BigQuery will always be up to date - without any manual effort.

Conduct deep analysis across multiple datasets

Bring together your data from different sources and see what insights emerge at the intersection. Combine information from Google Ads and Facebook Ads, Mailchimp and HubSpot, Shopify and Salesforce, and more. Coupler.io will help you load data from about 30 apps to BigQuery. Get a complete picture of your marketing activities and use BigQuery’s native functionality to perform advanced analysis.

Leverage machine learning algorithms

Power your decisions with ready-to-use BigQuery ML models and see how your data can translate into business value. Once you connect Google Ads to Google BigQuery, you can use the exported data for forecasting, predicting sales, analyzing and segmenting your audience, and much more. BigQuery allows you to do all this using standard SQL queries. Leverage ML to get ready for future challenges and identify in advance promising opportunities.

What data can you transfer from Google Ads to BigQuery

01. Ads

Back up your creative assets, organize an archive of your ads, and analyze how your campaigns change over time. Once you connect Google ads to BigQuery with Coupler.io, you can export various ad-related data like status, ad type, headlines and descriptions for your Ads, destination URLs, campaign ID, and more. You can securely store all this rich data in BigQuery, and Coupler.io will automatically keep this dataset refreshed.

02. Campaigns

Easily export all data related to campaigns, such as budgets, advertising channel types, duration, criteria, labels, targets, and others. Once you transfer this Google Ads data to BigQuery and process it, you’ll be able to get a nuanced picture of your campaigns and determine the crucial factors for future success.

03. Reports

Explore your metrics from different angles to obtain valuable insights. Connect Google Ads to BigQuery and analyze your reports in-depth using machine learning and BigQuery’s other native features. With Coupler.io, you can export dozens of report types. For example, reports on ad and campaign performance, click performance, keywords and topics, audience performance split by age, gender, and location, and more.

04. Other data types

Add more data to the picture by exporting bidding strategies, accounts, call details, feeds, labels, and other data entities. With Coupler.io, you can set up a Google Ads - BigQuery integration in just a few minutes. If needed, you can select different update schedules for different data types, managing your data with maximum flexibility.

How to connect Google Ads to BigQuery

Step 1. Sign up for Coupler.io
10 seconds
Step 2. Select Google Ads as a data source and BigQuery as a destination
10 seconds
Step 3. Connect your Google Ads account and choose what data to export
30 seconds
Step 4. Connect your BigQuery project and select where to load data
1 minute
Step 5. Set a schedule for automatic updates and run the importer
20 seconds

Why set a Google Ads - BigQuery integration with Coupler.io

Coupler.io is a data analytics and automation platform trusted by 700,000 professionals all over the world. It can help you connect Google Ads to BigQuery in just a few minutes. The tool was designed specifically for business users - it’s no-code, intuitive, and user-friendly. All this makes it a reasonable choice for marketing teams and other non-tech professionals. Coupler.io can help you automate your data-related repetitive tasks, freeing time for performing analysis and developing strategies. It allows you to manage data more efficiently by automatically updating your backup copy or fetching fresh data to power your self-updating reports and dashboards.

You will only need to set the integration once, and then Coupler.io will keep your Google Ads data in BigQuery always up to date. In addition to this, you can use Coupler.io to load data from other marketing apps to BigQuery. As a result, you’ll get a comprehensive self-updating database containing all the wealth of data amassed across your organization, ready for analysis.

Affordable pricing and flexible payment options are another advantage of Coupler.io. You can select from several plans designed for different needs, from managing personal tasks to organization-wide usage. If you need some data sources not included in your plan, you can buy them separately, without switching to a more expensive plan.

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How to export Google Ads reports into BigQuery with Coupler.io?

You can quickly and easily export dozens of various reports with Coupler.io. First, go to the My importers tab and click the Add new button. Select Google Ads as a data source and BigQuery as a destination, and connect your Google Ads account. Then, type in “report” in the Data entity field. You will see the list of the available report types in the dropdown menu. In the next step, specify the time period that should be covered in the report. You can select the start and end dates, or you can keep the default settings - in this case, the exported report will contain data for the last 30 days, including the day of exporting. After this, follow the hints to complete the setting process. Once you hit Run, Coupler.io will export the selected report to BigQuery. If you need to export another report type, you can copy your first importer and just change the data entity and destination table. In this case, all your settings and preferences provided before will be preserved, so that you won’t need to connect your accounts or provide your ID again.

How to send Google Ads data to BigQuery on a schedule?

Coupler.io allows you to set a flexible schedule for updates. This means it can regularly send Google Ads data to BigQuery, automatically refreshing it as often as you need. To set a schedule, go to the Schedule section of your importer. Toggle on the Automatic data refresh feature. Then, select the interval for the updates. You can choose between several options, from every month to every 15 minutes. Additionally, you can specify exactly what days and when you want to have your data refreshed. For example, you can schedule updates for every Monday at 9:00 AM, or on business days during office hours. For near real-time monitoring, select 24/7 updates every 15 minutes. When the schedule is ready, press Save and Run. After this, Coupler.io will systematically send data from Google Ads to BigQuery according to your preferences.

Do I need coding to send Google Ads data to BigQuery with Coupler.io?

No, you don’t need any tech knowledge to do this. Coupler.io is designed specifically for business users who don’t have any technical background. Anyone can easily set a Google Ads to BigQuery integration in less than 5 minutes.

See what our customers say

"Coupler.io automatically imports the full dataset you need and it refreshes it completely on any schedule you want. No triggers necessary. And the best of all, the team is very supportive.