What ActiveCampaign data can I replicate to BigQuery?

Kondado offers 29 pipelines covering Contacts, Deals, Campaigns, Accounts, and custom field metadata, totaling 644 fields. You can replicate core CRM data, marketing automation activities, task outcomes, and user group information to support comprehensive analytics workflows.

How often does ActiveCampaign data update in BigQuery?

You configure the update frequency based on your business needs, with options ranging from every 5 minutes to daily intervals. This automated scheduling ensures your BigQuery warehouse reflects the latest contact activities, deal progressions, and campaign performance without manual intervention.

Can I combine ActiveCampaign data with other marketing tools in BigQuery?

Yes, Kondado connects 80+ sources, allowing you to blend ActiveCampaign engagement metrics with data from additional CRMs, advertising platforms, or e-commerce systems in your BigQuery warehouse. This creates unified customer views across your entire marketing and sales stack for deeper attribution analysis and cross-channel reporting.

What data format does ActiveCampaign use when replicated to BigQuery?

Kondado automatically maps ActiveCampaign fields to appropriate BigQuery data types, preserving the structure of your Contacts, Deals, and Campaigns information. Custom fields maintain their metadata relationships, ensuring that your SQL queries and BI tools can access both standard and personalized data attributes seamlessly.

Do I need technical skills to connect ActiveCampaign to BigQuery?

No coding is required to establish the connection, you simply authenticate your ActiveCampaign account and configure your BigQuery destination through Kondado's interface. The platform handles schema creation, data type conversion, and pipeline management automatically, making advanced analytics accessible to marketing analysts and business users alike.

Can I access ActiveCampaign custom fields in BigQuery?

Yes, Kondado replicates both standard and custom field data, including the Contacts: Custom Fields (Data) and Contacts: custom fields (meta) pipelines. This ensures that your personalized contact attributes, account-specific variables, and deal-specific information are available for segmentation and analysis alongside standard CRM fields.

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Replicate ActiveCampaign Data to BigQuery Automatically

Sending your ActiveCampaign data to BigQuery requires no coding or complex engineering resources when you use Kondado as your replication platform. You simply connect your ActiveCampaign account as a data source, designate BigQuery as your destination warehouse, and select the specific pipelines you want to replicate from the 29 available options covering CRM, marketing automation, and sales data. Kondado automatically handles schema mapping, data type conversion, and transfer logistics on your chosen schedule, whether you require near-real-time updates every 5 minutes or prefer consolidated daily batches for cost optimization. Once your data lands in BigQuery, you can build custom reports, perform cross-channel analysis, and combine marketing automation metrics with other business data sources to uncover actionable insights.

Kondado directly connects ActiveCampaign to BigQuery, replicating 29 pipelines with 644 fields including Contacts, Deals, Campaigns, and custom field metadata on a user-configurable schedule ranging from 5 minutes to daily intervals.

With your marketing and sales data centralized in BigQuery, you gain the ability to create sophisticated analytics workflows that connect customer touchpoints across the entire lifecycle. This enables deeper segmentation, predictive modeling, and performance tracking that goes beyond the standard reporting available within ActiveCampaign itself.

Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required

Replicate your ActiveCampaign Contacts and Deals pipelines to BigQuery to build comprehensive customer lifetime value models that combine email engagement history with sales progression data. By also including the Campaigns and Contacts: Custom Fields (Data) pipelines, you can segment audiences based on behavioral triggers and personalized attributes, then analyze conversion patterns across different marketing initiatives directly in your data warehouse. This replicated data enables you to create sophisticated attribution models in BigQuery that track how specific automation sequences influence revenue outcomes, giving you the clarity to optimize your marketing spend, refine your sales processes, and identify high-value customer segments that drive sustainable growth.

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ActiveCampaign data available for BigQuery

available pipelines

644

extractable fields

Available integrations

Integration	Description
Accounts	Contains information about accounts, including ID, registered URL, contact count, and account name.
Accounts: Contacts	Presents relationships between accounts and contacts, including account and contact IDs, as well as the creation timestamp of the link.
Accounts: Custom Fields (Data)	Includes values of custom fields for accounts, such as value ID, account ID, and creation timestamp.
Accounts: Custom Fields (Meta)	Provides metadata for custom fields, including field ID, field type, and available options.
Accounts: Notes	Records notes associated with accounts, featuring fields like note ID, note text, and creation date.
Campaigns	Contains data about campaigns, including ID, campaign name, and current status.
Campaigns: Messages	Presents messages sent in campaigns, with fields such as message ID and message content.
Campaigns: Messages: Content	Includes the content of campaign messages, detailing the text and visual elements used.
Contacts	Stores information about contacts, including ID, name, and contact details.
Contacts: Custom Fields (Data)	Contains values of custom fields for contacts, such as value ID and associated contact ID.
Contacts: custom fields (meta)	Includes metadata such as field ID, type, available options, and whether the field is required or visible in forms.
Contacts: list activity	Records contact activity in lists, including contact ID, list ID, and date/time of the activity.
Contacts: notes	Contains notes associated with contacts, featuring fields like note ID, note text, and creation date.
Contacts: tags	List of tags assigned to contacts, including tag ID, contact ID, and tag creation date.
Contacts: tasks	Includes tasks related to contacts, featuring fields like task ID, status, and due date.
Deals	Represents deals with fields like deal ID, value, status, and creation date.
Deals: activities	Records activities associated with deals, including activity ID, type, and activity date.
Deals: custom fields (data)	Contains values of custom fields for deals, including field ID and field value.
Deals: custom fields (meta)	Includes metadata for custom fields of deals, such as field ID, type, and whether it is required.
Deals: secondary contacts	List of secondary contacts associated with deals, including contact IDs and deal IDs.
Deals Tasks	View tasks associated with deals, including fields such as ID, status, and created timestamp.
Lists	Manage contact lists, with information on ID, name, and contact count.
List Contacts	Examine the relationship between lists and contacts, including list ID, contact ID, and created timestamp.
Pipelines	Visualize sales pipelines, with details on ID, name, and stages of deals.
Scores	Track scores assigned to contacts or deals, including ID and score value.
Tasks Outcomes	Analyze task outcomes, with fields such as ID, status, and completion date.
Tasks Types	Explore different types of tasks, including ID, name, and description.
User Groups	Manage user groups, with information on ID, name, and assigned permissions.
Users	View information about users, including ID, name, and created timestamp.

Accounts

Contains information about accounts, including ID, registered URL, contact count, and account name.

Accounts: Contacts

Presents relationships between accounts and contacts, including account and contact IDs, as well as the creation timestamp of the link.

Accounts: Custom Fields (Data)

Includes values of custom fields for accounts, such as value ID, account ID, and creation timestamp.

Accounts: Custom Fields (Meta)

Provides metadata for custom fields, including field ID, field type, and available options.

Accounts: Notes

Records notes associated with accounts, featuring fields like note ID, note text, and creation date.

Campaigns

Contains data about campaigns, including ID, campaign name, and current status.

Campaigns: Messages

Presents messages sent in campaigns, with fields such as message ID and message content.

Campaigns: Messages: Content

Includes the content of campaign messages, detailing the text and visual elements used.

Contacts

Stores information about contacts, including ID, name, and contact details.

Contacts: Custom Fields (Data)

Contains values of custom fields for contacts, such as value ID and associated contact ID.

Contacts: custom fields (meta)

Includes metadata such as field ID, type, available options, and whether the field is required or visible in forms.

Contacts: list activity

Records contact activity in lists, including contact ID, list ID, and date/time of the activity.

Contacts: notes

Contains notes associated with contacts, featuring fields like note ID, note text, and creation date.

Contacts: tags

List of tags assigned to contacts, including tag ID, contact ID, and tag creation date.

Contacts: tasks

Includes tasks related to contacts, featuring fields like task ID, status, and due date.

Deals

Represents deals with fields like deal ID, value, status, and creation date.

Deals: activities

Records activities associated with deals, including activity ID, type, and activity date.

Deals: custom fields (data)

Contains values of custom fields for deals, including field ID and field value.

Deals: custom fields (meta)

Includes metadata for custom fields of deals, such as field ID, type, and whether it is required.

Deals: secondary contacts

List of secondary contacts associated with deals, including contact IDs and deal IDs.

Deals Tasks

View tasks associated with deals, including fields such as ID, status, and created timestamp.

Lists

Manage contact lists, with information on ID, name, and contact count.

List Contacts

Examine the relationship between lists and contacts, including list ID, contact ID, and created timestamp.

Pipelines

Visualize sales pipelines, with details on ID, name, and stages of deals.

Scores

Track scores assigned to contacts or deals, including ID and score value.

Tasks Outcomes

Analyze task outcomes, with fields such as ID, status, and completion date.

Tasks Types

Explore different types of tasks, including ID, name, and description.

User Groups

Manage user groups, with information on ID, name, and assigned permissions.

Users

View information about users, including ID, name, and created timestamp.

See all available data →

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How to send ActiveCampaign data to BigQuery

Sync data automatically — no code, no manual exports.

Connect ActiveCampaign Data Source

Authenticate your ActiveCampaign account in Kondado by providing your API credentials, which establishes the pipeline for extracting your CRM and marketing automation data.

Configure BigQuery Destination

Set up BigQuery as your destination by entering your Google Cloud project details and dataset information, ensuring Kondado can deliver your replicated data to the correct warehouse location.

Select Pipelines and Schedule

Choose from the 29 available ActiveCampaign pipelines, including Contacts, Deals, and Campaigns, then set your preferred update frequency ranging from 5 minutes to daily intervals to match your analytics requirements.

Try out all the features for free for 14 days