Adjust
Product Analytics
Sync Adjust data anywhere.
- Standard
- Alpha
- 50+Destinations
Everything Adjust can do in Airbyte
Sync to your warehouse
Land Adjust data in 50+ destinations on a schedule you control.
Incremental syncs
Pull only the records that changed since the last run instead of reloading everything.
One authorization
Authenticate Adjust once and Airbyte keeps every scheduled sync running on it.
Cloud or self-hosted
Run the Adjust connector on Self-Managed Enterprise.
Sync capabilities
- Full Refresh SyncSupported
- Incremental SyncSupported
- Available onSelf-Managed Enterprise
- Destinations50+ Airbyte connectors
- Connector version0.1.33
Set up in 9 steps
- First, navigate to the Adjust source connector page on Airbyte's website.
- Click on the "Create a new connection" button.
- Enter a name for your connection and click "Next".
- Enter your Adjust credentials, including your API key and app token.
- Click "Test" to ensure that your credentials are correct and that Airbyte can connect to your Adjust account.
- Once the test is successful, click "Next".7. Select the tables you want to replicate from Adjust to Airbyte.
- Choose the replication frequency and the initial replication start date.
- Click "Create connection" to finalize the setup.
- Your Adjust source connector is now connected to Airbyte and ready to start replicating data.
Authenticate Adjust once
API Token
Adjust API key, see https://help.adjust.com/en/article/report-service-api-authentication
Common questions
What is ETL?
ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.
What data can you extract from Adjust?
Adjust's API provides access to a wide range of data related to mobile app marketing and user engagement. The following are the categories of data that can be accessed through Adjust's API:
1. Attribution data: This includes information about the source of app installs, such as the ad network, campaign, and creative.
2. In-app events data: This includes data related to user actions within the app, such as purchases, registrations, and other custom events.
3. User engagement data: This includes data related to user behavior within the app, such as session length, retention rate, and user churn.
4. Ad performance data: This includes data related to the performance of ad campaigns, such as impressions, clicks, and conversions.
5. Audience data: This includes data related to the demographics and behavior of app users, such as age, gender, location, and interests.
6. Fraud prevention data: This includes data related to the detection and prevention of fraudulent activity within the app, such as click spamming and install fraud.Overall, Adjust's API provides a comprehensive set of data that can be used to optimize mobile app marketing campaigns and improve user engagement.
How do I transfer data from Adjust?
1. First, navigate to the Adjust source connector page on Airbyte's website.
2. Click on the "Create a new connection" button.
3. Enter a name for your connection and click "Next".
4. Enter your Adjust credentials, including your API key and app token.
5. Click "Test" to ensure that your credentials are correct and that Airbyte can connect to your Adjust account.
6. Once the test is successful, click "Next".7. Select the tables you want to replicate from Adjust to Airbyte.
8. Choose the replication frequency and the initial replication start date.
9. Click "Create connection" to finalize the setup.
10. Your Adjust source connector is now connected to Airbyte and ready to start replicating data.
What are top ETL tools to transfer data from Adjust?
The most prominent ETL tools to transfer data to include: Airbyte, Fivetran, StitchData, Matillion, Talend Data Integration. These tools help in extracting data from various sources (APIs, databases, and more), transforming it efficiently, and loading it into and other databases, data warehouses and data lakes, enhancing data management capabilities.
What is ELT?
ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.
Difference between ETL and ELT?
ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.
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Start moving Adjust data today
Free for 14 days on Airbyte Cloud. Set up the Adjust connector once and let Airbyte keep it in sync.