Connect AppsFlyer to Google BigQuery

appsflyer to google bigquery

Analyze your AppsFlyer data with Google BigQuery

Connect AppsFlyer to Google BigQuery in 2023

It is very simple to connect AppsFlyer to Google BigQuery, it can be done in a fast and easy manner with


First Step:

You need to select AppsFlyer as a Data Source and Grant Access to

Appsflyer 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.  

select bigquery


Third Step:

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

create bigQuery destination task

Fourth Step:

In the final step, grant access to the user: 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 do you need to load data from AppsFlyer to BigQuery?

Loading data from Appsflyer to BigQuery offers several advantages for businesses that rely on mobile app marketing and analytics. Here are some reasons why this integration is beneficial:

  1. Comprehensive Data Analysis: Appsflyer is a popular mobile attribution and marketing analytics platform. By loading Appsflyer data into BigQuery, businesses can combine it with other data sources such as advertising platforms, CRM systems, or internal databases. This allows for a comprehensive analysis of mobile app performance, user behavior, and marketing effectiveness. By leveraging BigQuery’s analytical capabilities, businesses can gain deeper insights into their mobile app campaigns, user acquisition, retention, and engagement metrics.
  2. Centralized Data Storage: BigQuery serves as a central repository for data from various sources. By loading Appsflyer data into BigQuery, businesses can consolidate and store their mobile app analytics alongside other relevant datasets. This centralized storage simplifies data management, enables cross-platform analysis, and facilitates the creation of comprehensive reports and dashboards.
  3. Advanced Analytics and Reporting: BigQuery provides robust querying and data processing capabilities. By integrating Appsflyer data, businesses can leverage these features to perform advanced analytics, such as cohort analysis, funnel analysis, user segmentation, and lifetime value calculations. This enables businesses to gain a deeper understanding of user behavior, optimize marketing strategies, and make data-driven decisions.
  4. Cross-Platform Analysis: Appsflyer provides attribution and analytics data across multiple advertising platforms, including Facebook, Google Ads, Twitter, and more. By loading Appsflyer data into BigQuery, businesses can combine it with data from these platforms, allowing for cross-platform analysis and insights. This integration enables a holistic view of mobile app marketing efforts and helps identify trends, patterns, and opportunities across different advertising channels.
  5. Machine Learning and AI Applications: BigQuery integrates with Google Cloud’s AI and ML tools, allowing businesses to develop predictive models, build recommendation systems, and perform other advanced analytics tasks. By loading Appsflyer data into BigQuery, businesses can leverage these capabilities to create personalized user experiences, optimize marketing campaigns, and drive user engagement and retention.
  6. Data-driven Decision Making: By integrating Appsflyer data with BigQuery, businesses can access real-time and historical data to track the impact of marketing campaigns, measure key performance indicators (KPIs), and evaluate ROI. This data-driven approach empowers businesses to make informed decisions, optimize marketing spend, and continuously improve their mobile app performance.


How much time do I need to create a Appsflyer and BigQuery integration?’s user-friendly interface allows you to create integrations in less than 9 minutes.



Ultimately, loading data from Appsflyer to BigQuery allows businesses to leverage the power of advanced analytics, cross-platform analysis, and machine learning to optimize their mobile app marketing strategies and drive business growth.


You can integrate AppsFlyer to BigQuery with, to get analytics-ready data without the manual hassle. This integration will help you focus on what matters and to get more value out of your transaction data. Sign up for free.


Try today

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

Start Free Trial

AppsFlyer metrics and dimensions available for streaming into BigQuery

Extract AppsFlyer data to BigQuery with

See the value and return on every marketing touchpoint

data warehouse

Providing 70+ marketing data streams, we make sure that all the data we integrate is fresh and accessible by marketers, whenever they want.


Spend less time on manual data loading and spreadsheets. Focus on delighting your customers.

Popular BigQuery and Appsflyer integrations