Marketo

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Marketo is a comprehensive marketing automation platform designed to help businesses manage and optimize their digital marketing efforts. It offers tools for email marketing, lead management, customer engagement, and analytics, enabling marketers to create personalized campaigns and measure their impact effectively.

Refer to Marketo's official documentation to see all available endpoints from the Marketo API.

Authorize Connection to Marketo

In Marketo

To authorize your Marketo account, you will need your domain, client ID, and client secret.

  1. In your Marketo account, navigate to the Admin page.
  2. In the left-side menu, scroll down to the Integrations section and click on LaunchPoint.
  3. Click on New to add a new service and follow the on-screen prompts.
  4. Once created, click on View Details next to your service and copy the Client ID and Client Secret values.

In Dataddo

  1. On the Authorizers page, click on Authorize New Service and select Marketo.
  2. Fill in the following fields:
    1. Domain: Marketo domain URL.
    2. Client ID: Your Marketo client ID.
    3. Client Secret: Secret to your client ID.
  3. Rename your authorizer for easier identification and click on Save.

How to Create a Marketo Data Source

  1. On the Sources page, click on the Create Source button.
  2. Select the connector from the list and name your data source.
  3. On the Dataset step, select your dataset.
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    If you're unsure which dataset to select, use the search bar to look for datasets with the desired attributes or metrics.

  4. On the Account step select your authorizer from the drop-down menu.
    Didn't find your authorizer?

    Click on Add new Account at the bottom of the drop-down and follow the on-screen prompts. You can also go to the Authorizers tab and click on Add New Service.

  5. On the Attributes and Metrics step, select the metrics and attributes you want to extract.
    Create a source using a custom-schema connector.
  6. On the Metadata step, select which metadata fields such as extraction time to add to your data.
  7. On the Snapshot step:
    1. Configure your sync frequency or click Show advanced settings to set the exact synchronization time.
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      If you need to load historical data, refer to the Data Backfilling article.

    2. [Optional] Enable the Allow Empty Data Extractions toggle to allow the extraction when no data is available.
  8. In the top-right corner, click Test Data button to preview extracted data. You can adjust the date range for a specific time frame.
  9. Click on Save and congratulations, your new data source is ready!

Troubleshooting

Data Preview Unavailable

No data preview when you click on Test Data might be caused by an issue with your source configuration. The most common causes are:

  • Date range: Try a smaller date range. You can load the rest of your data afterward using manual data load.
  • Insufficient permissions: Please make sure your authorized account has at least admin-level permissions.
  • Invalid metrics, attributes, or breakdowns: You may not have any data for the selected metrics, attributes, or breakdowns.
  • Incompatible combination of metrics, attributes, or breakdowns: Your selected combination cannot be queried together. Please refer to the service's documentation to view a full list of metrics that can be included in the same data source.

Related Articles

Now that you have successfully created a data source, see how you can connect your data to a dashboarding app or a data storage.

Sending Data to Dashboarding Apps

Sending Data to Data Storages

Other Resources