Easily move your data from TikTok Ads To BigQuery to enhance your analytics capabilities. With Hevo’s intuitive pipeline setup, data flows in real-time—check out our 1-minute demo below to see the seamless integration in action!
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, marketers have the ability to evaluate the efficacy of advertising on TikTok in comparison 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 connect TikTok Ads to 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 one-of-a-kind tools that are 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. You have the ability to make changes to your budget at any time during the course of your campaign if you go with either of these two options.
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.
Integrate TikTok Ads to BigQuery
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Why Connect TikTok Ads to BigQuery?
- Centralize Your Data: By uploading cost data from TikTok Ads and other advertising services to BigQuery, you can link it with user actions from your website, CRM, and emails to get a complete view in one place.
- Advanced Analytics: You can set up detailed analytics to measure the impact of your marketing efforts, both online and offline, and track how they affect key business metrics.
- Better Performance Tracking: TikTok Ads Manager provides insights into key metrics like CTR, CPC, CPA, CR, and ROAS.
- Track Full Customer Journey: Connecting to BigQuery lets you see the entire customer purchase path and monitor how different interactions lead to sales.
Method 1: Connect TikTok Ads to BigQuery using Hevo
Configure TikTok Ads as a Source
Choose TikTok Ads as source and fill in the required details.
Configure BigQuery as a Destination
Choose BigQuery as destination and fill in the required details.
Why consider Hevo
- Fully Managed: You don’t need to dedicate time to building your pipelines. With Hevo Data’s dashboard, you can monitor all the processes in your pipeline, thus giving you complete control over it.
- Data Transformation: Hevo Data provides a simple interface to cleanse, modify, and transform your data through drag-and-drop features and Python scripts. It can accommodate multiple use cases with its pre-load and post-load transformation capabilities.
- Faster Insight Generation: Hevo Data offers near real-time data replication, so you have access to real-time insight generation and faster decision-making.
- Schema Management: With Hevo Data’s auto schema mapping feature, all your mappings will be automatically detected and managed to the destination schema.
- Scalable Infrastructure: With the increase in the number of sources and volume of data, Hevo Data can automatically scale horizontally, handling millions of records per minute with minimal latency.
- Transparent pricing: You can select your pricing plan based on your requirements. Different plans are clearly put together on its website, along with all the features it supports. You can adjust your credit limits and spend notifications for any increased data flow.
- Live Support: The support team is available round the clock to extend exceptional support to its customers through chat, email, and support calls.
Seamlessly load data from TikTok Ads to Google BigQuery.
Method 2: Connect TikTok Ads to BigQuery through Google Sheets
Step 1: Transfer Data from TikTok Ads to Google Sheets
- To connect TikTok Ads to BigQuery, 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 link for detailed steps. Then transfer TikTok data into Google Sheets to connect TikTok Ads to BigQuery:
Include your full request URL in the field labeled “request URL“, and include your access token in the section of the “Headers” where Key = Access-Token and Value = your token. Doing so will allow you to create a request.
To illustrate, enter a request like this as an example:
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; for more information regarding this topic, refer to the section of the manual titled “Handle Pagination.”
Step 2: Transfer Data from Google Sheets to BigQuery
Using the data connector that comes with 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 following step is to create a BigQuery table that will store the data that is imported from sheets.
- You start by clicking the “Create Table” button. On the tab labelled “Create a Table”, choose “Drive” to connect TikTok Ads to BigQuery.
- Under the source window, select Google Drive as your source and then copy the URL from our Google Sheet into the Select Drive URL tab of the window that appears. As the format, you have the option of choosing either CSV or sheets. Both formats give you the ability to choose the auto-detect schema, and you can also choose the column names and data types that you want to use.
- After giving the table a name, select the option to create a table. Because your sheets are linked to your BigQuery instance, any time you commit changes to your sheet, those changes will immediately be reflected in BigQuery in the TikTok Ads to BigQuery 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 connected TikTok Ads to BigQuery.
Conclusion
In this article, you understood the main features of TikTok Ads and Google BigQuery. And learned two methods to integrate TikTok Ads to BigQuery. TikTok Ads is TikTok’s advertising platform for Business Accounts. It enables users to retrieve statistics about their ads, ad accounts, ad groups, and campaigns running on TikTok. Google BigQuery allows you to analyze this data to find meaningful insights to improve user experience.
However, as a Developer, extracting complex data from a diverse set of data sources like Databases, CRMs, Project management Tools, Streaming Services, and Marketing Platforms to your Database can seem to be quite challenging. If you are from non-technical background or are new in the game of data warehouse and analytics, Hevo Data can help!
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 have a look at our unbeatable Hevo pricing that will help you choose the right plan for your business needs!
FAQs
1. Can TikTok ads be targeted?
Yes, you can target TikTok ads based on factors like age, interests, location, behavior, and device type. This helps you reach the right people for your campaigns.
2. How much do TikTok ads cost per conversion?
The cost per conversion on TikTok can vary depending on your audience, the ad format you choose, and your bidding strategy, but it typically falls between $10 and $30.
3. Can you run TikTok ads to get followers?
Absolutely! You can run TikTok ads specifically to grow your follower base. These ads direct users to your profile, boosting engagement and helping you gain more followers.
Sharon is a data science enthusiast with a hands-on approach to data integration and infrastructure. She leverages her technical background in computer science and her experience as a Marketing Content Analyst at Hevo Data to create informative content that bridges the gap between technical concepts and practical applications. Sharon's passion lies in using data to solve real-world problems and empower others with data literacy.