How To Integrate TikTok Ads to BigQuery Effortlessly?

Facebook, Instagram, and Twitter are widely recognized as three of the most dominant market giants in digital advertising. TikTok is already competing with these well-established businesses despite the fact that it has been available to consumers for only a few short years. The social network known as TikTok is expanding at a rapid rate, and naturally, the size of its audience makes it appealing to advertisers.

By exporting data from TikTok Ads to BigQuery, marketers can evaluate the efficacy of advertising on TikTok compared to the efficacy of advertising on other channels. This allows them to easily determine which campaigns bring in more revenue and how to distribute their advertising budget.

In this article, you will learn two methods to integrate TikTok Ads into BigQuery.

What are TikTok Ads?

TikTok Ads provides a platform that is both powerful and user-friendly, and it helps businesses and brands advertise their products and services to millions of users all over the world. This platform helps with targeting, ad creation, insight reports, and ad management tools.

TikTok Ads provides various tools designed to assist brands and businesses in reaching their full potential, regardless of the size of their budget or the length of their campaign (for example, 10 days).

There are currently two budgeting options available with TikTok Ads: daily and lifetime. If you choose either option, you can change your budget at any time during your campaign.

What is Google BigQuery?

Google BigQuery is a data warehouse hosted on the Google Cloud Platform that helps enterprises with their analytics activities. This Software as a Service (SaaS) platform is serverless and has outstanding data management, access control, and machine learning features (Google BigQuery ML). Google BigQuery excels in analyzing enormous amounts of data and quickly meets your big data processing needs with capabilities like exabyte-scale storage and petabyte-scale SQL queries.

Google BigQuery’s columnar storage makes data searching more manageable and effective. On the other hand, the Colossus file system of BigQuery processes queries using the Dremel Query Engine via REST. The storage and processing engines rely on Google’s Jupiter Network to quickly transport data from one location to another.

Why Connect TikTok Ads to BigQuery?

Method 1: Automate the Integration using Hevo

Step 1.1: Configure TikTok Ads as a Source

Choose TikTok Ads as source and fill in the required details.

Step 1.2: Configure BigQuery as a Destination

You have successfully connected your source and destination with these two simple steps. From here, Hevo will take over and move your valuable data from TikTok Ads to BigQuery.

Method 2: Connect TikTok Ads to BigQuery through Google Sheets

Step 2.1: Transfer Data from TikTok Ads to Google Sheets

• The first step is to follow this link to the Google Marketplace to download and install the API Connector add-on.
• Create a TikTok for business account.

• Fill in the required details.

Obtain your Auth code and access token from the app’s settings. You can refer to this article for detailed steps to move TikTok Ads to Google Sheets. Next, transfer TikTok data into Google Sheets to connect TikTok Ads with BigQuery:

 Include your full request URL in the field labeled ‘Request URL,’ and add your access token in the ‘Headers’ section, where the Key is ‘Access-Token’ and the Value is your token. This will allow you to create a request.

 For example, enter a request like this:

https://business-api.tiktok.com/open_api/v1.2/reports/integrated/get/?advertiser_id=1111111111111111&report_type=BASIC&dimensions=["stat_time_day","ad_id"]&data_level=AUCTION_AD&start_date=2021-01-01&end_date=2021-01-31&metrics=["spend","impressions","cpc","cpm","ctr","reach"]&order_field=impressions&page_size=1000

In the URL, you will notice a few different kinds of parameters:

• The “dimensions” parameter gives information about how the data should be grouped (the example above groups by day and ad ID)
• The “metrics” parameter specifies the fields that you want to be included in the report.
• The “data level” parameter indicates the degree of granularity that you desire for your data (by account, campaign, adgroup, or ad)
• The “order field” parameter specifies the field that should be used to order the results.
• The “page size” parameter displays the number of records to return.

Step 2.2: Transfer Data from Google Sheets to BigQuery

Using the data connector in BigQuery, you can quickly and easily import your data from sheets into the database. The following steps demonstrate how to:

• Sign in to your Google Cloud Platform console, and then use the hamburger menu to navigate to the BigQuery user interface.

• Choose the option to Create Data set within BigQuery.
• After the dataset has been created, the next step is to create a BigQuery table to store the data imported from sheets.

• Start by clicking the “Create Table” button. In the “Create a Table” tab, select “Drive” to connect.
• In the source section, choose Google Drive as your source. Then, copy the URL from the Google Sheet and paste it into the “Select Drive URL” tab that appears. For the format, you can choose either CSV or Sheets. Both formats allow you to auto-detect the schema and also customize the column names and data types.
• After naming the table, select the option to create the table. Once the sheets are linked to your BigQuery instance, any changes you make to the sheet will automatically be reflected in BigQuery through the integration.
• Now that your data is stored in BigQuery, you can perform run SQL queries on the data that you have ingested.

With this, you have successfully integrated TikTok Ads with BigQuery.

Benefits & Use Cases of TikTok Ads BigQuery Integration

Benefits:

• Centralized Data Analysis: Combine TikTok Ads data with other business datasets for a holistic view of performance.
• Advanced Insights: Leverage BigQuery’s analytical power to uncover trends, ROI, and audience behavior.
• Real-Time Reporting: Enable faster decision-making with up-to-date data access.
• Cost Efficiency: Optimize ad spend by analyzing which campaigns deliver the best value.

Use Cases:

• Marketing Attribution: Track ad performance across multiple channels to understand customer journeys.
• Audience Segmentation: Identify high-performing demographics and adjust targeting strategies.
• Campaign Optimization: Monitor ad performance metrics in real-time and refine campaigns for better results.
• Budget Allocation: Use data insights to allocate budgets effectively and maximize ROI.

Conclusion

In this article, you understood the main features of TikTok Ads and Google BigQuery. You also learned two methods to integrate the two platforms. However, as a developer, extracting complex data from diverse data sources like databases, CRMs, project management tools, streaming services, and marketing platforms to your database can seem quite challenging. If you are from a non-technical background or are new in the game of data warehouse and analytics, Hevo Data can help!

Simplify your marketing analytics by connecting TikTok Ads to BigQuery. Find out how at TikTok Ads Integration.

Want to take Hevo for a spin? Sign Up for a 14-day free trial and experience the feature-rich Hevo suite firsthand.

You can also look at our unbeatable Hevo pricing, which will help you choose the right plan for your business needs!

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