Marketo
Marketing Analytics
Sync Marketo data anywhere.
- Standard
- Generally available
- 9 streams
- 9Streams
- 50+Destinations
Everything Marketo can do in Airbyte
Sync to your warehouse
Land 9 Marketo tables in 50+ destinations on a schedule you control.
Incremental syncs
Pull only the records that changed since the last run instead of reloading everything.
Cloud or self-hosted
Run the Marketo connector on Cloud, Self-Managed Enterprise.
Sync capabilities
- Full Refresh SyncSupported
- Incremental SyncSupported
- Available onCloud, Self-Managed Enterprise
- Destinations50+ Airbyte connectors
- Connector version2.1.3
Set up in 9 steps
- First, navigate to the "Sources" tab on the Airbyte dashboard and click "New Source".
- Select "Marketo" from the list of available sources.
- Enter a name for your Marketo source connector and click "Next".
- Enter your Marketo credentials, including your Client ID, Client Secret, and REST Endpoint URL. You can find these credentials in your Marketo account under "Admin" > "LaunchPoint".
- Click "Test" to ensure that your credentials are correct and that Airbyte can connect to your Marketo account.
- Once your credentials have been verified, select the objects you want to replicate from Marketo. You can choose from a variety of objects, including leads, opportunities, and campaigns.
- Configure any additional settings, such as the replication frequency and the number of records to replicate per batch.
- Click "Create Source" to save your Marketo source connector.
- Your Marketo data will now be replicated to Airbyte, where you can use it to create pipelines and sync your data with other destinations.
Every table you can sync from Marketo
Activities_X
Lead activities of type X. For example, activities_send_email contains lead activities related to the send_email activity type. One stream is created per activity type. Uses activityDate as the cursor field. See the Marketo Activities API docs for details.
Activity types
Metadata about activity types.
Campaigns
Marketo campaigns. Uses createdAt as the cursor field.
Emails
Marketo email assets, including subject, sender info, status, and template. Uses updatedAt as the cursor field.
Leads
Marketo leads. Uses updatedAt as the cursor field. The schema is dynamically generated from the leads/describe.json API, so custom fields are automatically discovered and included.
Lists
Marketo static lists. Uses createdAt as the cursor field.
Programs
Marketo programs, including user-defined tags, period costs, and Salesforce cross-reference fields (sfdcId and sfdcName) for programs synced with Salesforce. Uses updatedAt as the cursor field.
Program Tokens
Token definitions (My Tokens) for each program. This is a child stream of Programs, fetching tokens for every program.
Segmentations
Marketo segmentations.
Related connectors
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 Marketo?
Marketo's API provides access to a wide range of data related to marketing automation and customer engagement. The following are the categories of data that can be accessed through Marketo's API:
1. Lead data: This includes information about individual leads such as their name, email address, phone number, company, job title, and other demographic information.
2. Campaign data: This includes information about marketing campaigns such as email campaigns, social media campaigns, and other types of marketing initiatives.
3. Activity data: This includes information about the activities that leads have taken such as opening an email, clicking on a link, visiting a website, or filling out a form.
4. Analytics data: This includes information about the performance of marketing campaigns such as open rates, click-through rates, conversion rates, and other metrics.
5. Account data: This includes information about the companies that leads work for such as company size, industry, and other relevant information.
6. Custom object data: This includes information about custom objects that have been created within Marketo such as events, webinars, and other types of marketing initiatives.
Overall, Marketo's API provides access to a wealth of data that can be used to improve marketing automation and customer engagement efforts.
How do I transfer data from Marketo?
1. First, navigate to the "Sources" tab on the Airbyte dashboard and click "New Source".
2. Select "Marketo" from the list of available sources.
3. Enter a name for your Marketo source connector and click "Next".
4. Enter your Marketo credentials, including your Client ID, Client Secret, and REST Endpoint URL. You can find these credentials in your Marketo account under "Admin" > "LaunchPoint".
5. Click "Test" to ensure that your credentials are correct and that Airbyte can connect to your Marketo account.
6. Once your credentials have been verified, select the objects you want to replicate from Marketo. You can choose from a variety of objects, including leads, opportunities, and campaigns.
7. Configure any additional settings, such as the replication frequency and the number of records to replicate per batch.
8. Click "Create Source" to save your Marketo source connector.
9. Your Marketo data will now be replicated to Airbyte, where you can use it to create pipelines and sync your data with other destinations.
What are top ETL tools to transfer data from Marketo?
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.
Start moving Marketo data today
Free for 14 days on Airbyte Cloud. Set up the Marketo connector once and let Airbyte keep it in sync.