Adobe Marketo Engage connector

Set up the Adobe Marketo Engage connector in Kaivo: authentication, configuration, the 7 BigQuery tables it syncs, and answers to common questions.

Written By Lauri Raivio

Last updated 16 days ago

Kaivo is a fully managed data platform that syncs your Adobe Marketo Engage data into a Google BigQuery warehouse and keeps it up to date automatically. There is no pipeline to build and no infrastructure to run, so you can spend your time analysing your marketing and sales data instead of moving it.

What is the Adobe Marketo Engage connector

Sync your Marketo leads, campaigns, and activities into BigQuery with Kaivo to analyse marketing performance alongside the rest of your data.

Category	Marketing & Sales
Authentication	API key
Setup	Self-service

Getting started with the Adobe Marketo Engage connector

Sign up for Kaivo and create a workspace.
Connect your Adobe Marketo Engage account.
Choose which tables to sync.
Wait for the initial sync to finish.
Query your data in BigQuery or your favourite AI or BI tool.

Authenticating Adobe Marketo Engage

Authenticate with your Adobe Marketo Engage credentials. You provide:

Field	Description
Domain URL	Your Marketo Base URL (e.g., https://000-AAA-000.mktorest.com).
Client ID	Your Marketo developer application Client ID.
Client Secret	Your Marketo developer application Client Secret.

Configuring the Adobe Marketo Engage connector

When you set up the connector, you provide:

Field	Description
Start Date	Any data before this date will not be fetched.

Tables and columns synced from Adobe Marketo Engage

Kaivo syncs 7 tables from Adobe Marketo Engage into a dedicated dataset in your BigQuery warehouse. Click any table to see its columns and types.

activity_types (7 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`id`	`INT64`	The unique identifier of the activity type.
`name`	`STRING`	The name of the activity type.
`description`	`STRING`	A description of the activity type.
`primary_attribute__name`	`STRING`	The name of the primary attribute.
`primary_attribute__data_type`	`STRING`	The data type of the primary attribute.
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: activity_types__attributes

Column	Type	Description
`_kaivo_parent_id`	`STRING`	Foreign key referencing _kaivo_id in the parent table. Auto-generated by Kaivo.
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`name`	`STRING`	The name of the attribute.
`data_type`	`STRING`	The data type of the attribute.
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

campaigns (12 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`id`	`INT64`	The unique identifier for the campaign.
`created_at`	`TIMESTAMP`	The date and time when the campaign was created.
`updated_at`	`TIMESTAMP`	The date and time when the campaign was last updated.
`active`	`BOOL`	Indicates whether the campaign is currently active or not.
`description`	`STRING`	A brief description of the campaign.
`name`	`STRING`	The name of the campaign.
`program_id`	`INT64`	The unique identifier of the program to which the campaign belongs.
`program_name`	`STRING`	The name of the program to which the campaign belongs.
`type`	`STRING`	The type of the campaign (e.g., email, social media, event).
`workspace_name`	`STRING`	The name of the workspace where the campaign is stored.
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

emails (30 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`id`	`INT64`	The unique identifier of the email.
`name`	`STRING`	The name of the email.
`description`	`STRING`	A description of the email.
`created_at`	`TIMESTAMP`	The date and time when the email was created.
`updated_at`	`TIMESTAMP`	The date and time when the email was last updated.
`url`	`STRING`	The URL associated with the email.
`subject__type`	`STRING`	The type of subject (e.g., Text).
`subject__value`	`STRING`	The value of the subject.
`from_name__type`	`STRING`	The type of from name (e.g., Text).
`from_name__value`	`STRING`	The value of the from name.
`from_email__type`	`STRING`	The type of from email (e.g., Text).
`from_email__value`	`STRING`	The value of the from email.
`reply_email__type`	`STRING`	The type of reply email (e.g., Text).
`reply_email__value`	`STRING`	The value of the reply email.
`folder__type`	`STRING`	The type of the folder.
`folder__value`	`INT64`	The unique identifier of the folder.
`folder__folder_name`	`STRING`	The name of the folder.
`operational`	`BOOL`	Whether the email is operational (bypasses unsubscribe).
`text_only`	`BOOL`	Whether the email is text-only.
`publish_to_msi`	`BOOL`	Whether the email is published to Marketo Sales Insight.
`web_view`	`BOOL`	Whether the email has web view enabled.
`status`	`STRING`	The current status of the email (e.g., approved, draft).
`template`	`INT64`	The ID of the template used for the email.
`workspace`	`STRING`	The workspace the email belongs to.
`is_open_tracking_disabled`	`BOOL`	Whether open tracking is disabled for this email.
`version`	`INT64`	The version number of the email.
`auto_copy_to_text`	`BOOL`	Whether the HTML content is automatically copied to the text version.
`pre_header`	`STRING`	The preheader text of the email.
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: emails__cc_fields

Column	Type	Description
`_kaivo_parent_id`	`STRING`	Foreign key referencing _kaivo_id in the parent table. Auto-generated by Kaivo.
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`attribute_id`	`STRING`	The attribute ID of the CC field.
`object_name`	`STRING`	The object name of the CC field.
`display_name`	`STRING`	The display name of the CC field.
`api_name`	`STRING`	The API name of the CC field.
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

lists (10 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`id`	`INT64`	The unique identifier of the list.
`name`	`STRING`	The name of the list.
`created_at`	`TIMESTAMP`	The date and time this list was created.
`updated_at`	`TIMESTAMP`	The date and time this list was last updated.
`description`	`STRING`	A brief description of the list.
`program_name`	`STRING`	The name of the program associated with this list.
`workspace_name`	`STRING`	The name of the workspace to which this list belongs.
`workspace_id`	`INT64`	The unique identifier of the workspace to which this list belongs.
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

program_tokens (7 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`program_id`	`INT64`	The ID of the parent program from which the tokens were retrieved.
`name`	`STRING`	The name of the token.
`type`	`STRING`	The data type of the token (e.g., date, number, rich text, score, sfdc campaign, text).
`value`	`STRING`	The value of the token.
`computed_url`	`STRING`	The computed URL for the token in the Marketo UI.
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

programs (19 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`id`	`INT64`	The unique identifier of the program.
`created_at`	`TIMESTAMP`	The date and time when the program was created.
`updated_at`	`TIMESTAMP`	The date and time when the program was last updated.
`name`	`STRING`	The name or title of the program.
`description`	`STRING`	The detailed information or overview of the program.
`url`	`STRING`	The URL associated with the program.
`type`	`STRING`	The type or category of the program.
`channel`	`STRING`	The marketing channel associated with the program.
`status`	`STRING`	The current status of the program.
`workspace`	`STRING`	The workspace or environment where the program is located.
`head_start`	`BOOL`	The time duration for the program to start.
`is_head_start`	`BOOL`	Indicates if the program has a head start feature enabled.
`folder__type`	`STRING`	The type or category of the folder.
`folder__value`	`INT64`	The unique value associated with the folder.
`folder__folder_name`	`STRING`	The name of the folder where the program is stored.
`sfdc_id`	`STRING`	The ID of the corresponding object in Salesforce.
`sfdc_name`	`STRING`	The name of the corresponding object in Salesforce.
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: programs__tags

Column	Type	Description
`_kaivo_parent_id`	`STRING`	Foreign key referencing _kaivo_id in the parent table. Auto-generated by Kaivo.
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`tag_type`	`STRING`	The type of tag.
`tag_value`	`STRING`	The value of the tag.
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: programs__costs

Column	Type	Description
`_kaivo_parent_id`	`STRING`	Foreign key referencing _kaivo_id in the parent table. Auto-generated by Kaivo.
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`start_date`	`STRING`	The start date of the cost period.
`cost`	`FLOAT64`	The cost amount for the period.
`note`	`STRING`	A note about the cost.
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

segmentations (13 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`created_at`	`TIMESTAMP`	The date and time when the segmentation was created.
`updated_at`	`TIMESTAMP`	The date and time when the segmentation was last updated.
`id`	`INT64`	The unique identifier for the segmentation.
`description`	`STRING`	A brief description of the segmentation.
`name`	`STRING`	The name of the segmentation.
`url`	`STRING`	The URL for accessing the segmentation data.
`status`	`STRING`	The current status of the segmentation.
`folder__type`	`STRING`	The type of folder.
`folder__value`	`INT64`	The value associated with the folder.
`folder__folder_name`	`STRING`	The name of the folder.
`workspace`	`STRING`	The workspace where the segmentation is located.
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

How the Adobe Marketo Engage sync works

After the first load, Kaivo keeps your BigQuery warehouse up to date for you. Where Adobe Marketo Engage supports it, each sync pulls only new and changed records so it stays fast; otherwise it refreshes the whole table. Every record keeps its original ID, so you won't get duplicate rows.

Frequently asked questions

How long does the initial sync take for Adobe Marketo Engage?

It depends on how much history is in your Adobe Marketo Engage account. Most initial syncs finish within minutes, while large accounts can take a few hours. After that, syncs only fetch new and changed records, so they're much faster.

Can I sync only some tables or columns?

Yes. You pick which tables to sync when you set up the connection and can change the selection later. Tables you don't select are never copied to your warehouse.

What happens when Adobe Marketo Engage's schema changes?

New fields are never added automatically. You choose which fields to sync, so data you haven't selected (sensitive personal data, for example) never lands in your warehouse. When a new field appears, it becomes available for you to add. What happens to removed or renamed fields depends on a table's sync mode: full-refresh tables always match what's currently in Adobe Marketo Engage, so dropped fields disappear, while incremental tables keep their existing columns and history, so an old field stays and newly added fields fill in over time.

Your data lives in your own Kaivo-managed BigQuery warehouse, so the most direct option is to delete or anonymise specific records right in BigQuery. If you delete data in Adobe Marketo Engage instead, full-refresh tables drop it on the next sync, while incremental tables keep it, so you would remove the row in BigQuery or ask us to run a full refresh. To remove everything, delete the Adobe Marketo Engage connector in Kaivo and all of its synced data is deleted with it.

Common use cases for Adobe Marketo Engage data

Campaign performance

Track campaigns and activities to measure engagement and conversion.

Lead funnel

Analyse leads and their activities to see how prospects move through the funnel.

Email engagement

Report on opens, clicks, and responses to find what drives results.

Marketing and sales together

Join Marketo data with your CRM in BigQuery to connect campaigns to pipeline.

Use Adobe Marketo Engage data in your AI and BI tools

Once Adobe Marketo Engage data lands in your Kaivo-managed BigQuery warehouse, you can explore it with AI tools or any BI tool that connects to BigQuery. Here's how the most common destinations work with Adobe Marketo Engage data.

Claude

Use Kaivo's MCP server to give Claude secure, workspace-scoped access to your data. Setup guide →

Power BI

Microsoft's BI tool with a native BigQuery connector. Supports direct query and scheduled refresh. Setup guide →

Data Studio

Free Google BI tool with native BigQuery support. One-click connection to your Kaivo warehouse; great for SMB teams on Google Workspace. Setup guide →

Tableau

The premium analytics standard, with native BigQuery integration. Setup guide →

Google Sheets

Use Connected Sheets to query BigQuery directly from a spreadsheet, with no SQL. Setup guide →

Excel

Connect via Power Query's BigQuery connector. Setup guide →

Metabase

Open-source BI tool with strong BigQuery support. Setup guide →

See our pricing page for Adobe Marketo Engage connector pricing and plan details.

Google Ads: Sync Google Ads to BigQuery.
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Google Search Console: Sync Google Search Console to BigQuery.
HubSpot: Sync HubSpot to BigQuery.
Adform: Sync Adform to BigQuery.
Amplitude: Sync Amplitude to BigQuery.

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