Iterable connector

Set up the Iterable connector in Kaivo: authentication, configuration, the 8 BigQuery tables it syncs, and answers to common questions.

Written By Lauri Raivio

Last updated 15 days ago

Kaivo is a fully managed data platform that syncs your Iterable 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 Iterable connector

Sync your Iterable campaigns, messages, and user events into BigQuery with Kaivo to analyse cross-channel marketing alongside the rest of your data.

Category	Marketing & Sales, Surveys & Email
Authentication	API key
Setup	Self-service

Getting started with the Iterable connector

Sign up for Kaivo and create a workspace.
Connect your Iterable 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 Iterable

Authenticate with your API Key.

Field	Description
API Key	Your Iterable API Key.

Configuring the Iterable 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 Iterable

Kaivo syncs 8 tables from Iterable into a dedicated dataset in your BigQuery warehouse. Click any table to see its columns and types.

campaigns (17 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 campaign
`created_at`	`INT64`	The timestamp when the campaign was created
`updated_at`	`INT64`	The timestamp when the campaign was last updated
`start_at`	`INT64`	The timestamp when the campaign will start
`ended_at`	`INT64`	The timestamp when the campaign ended
`name`	`STRING`	The name of the campaign
`template_id`	`INT64`	The ID of the template used for the campaign
`message_medium`	`STRING`	The medium used to deliver the campaign message (e.g., email, SMS)
`created_by_user_id`	`STRING`	The ID of the user who created the campaign
`updated_by_user_id`	`STRING`	The ID of the user who last updated the campaign
`campaign_state`	`STRING`	The current state of the campaign (e.g., draft, active, paused)
`send_size`	`FLOAT64`	The size of the audience targeted by the campaign
`recurring_campaign_id`	`FLOAT64`	If the campaign is recurring, the ID of the parent recurring campaign
`workflow_id`	`FLOAT64`	The ID of the workflow associated with the campaign
`type`	`STRING`	The type of campaign (e.g., one-time, recurring)
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: campaigns__list_ids

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.
`value`	`INT64`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: campaigns__suppression_list_ids

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.
`value`	`INT64`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: campaigns__labels

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.
`value`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

channels (6 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`id`	`FLOAT64`	The unique identifier of the channel.
`name`	`STRING`	The name or title of the channel.
`channel_type`	`STRING`	The type of channel, such as email, SMS, or push notification.
`message_medium`	`STRING`	The medium used to deliver messages through this channel, such as text, image, or video.
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

events (8 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`itbl_internal__document_created_at`	`TIMESTAMP`	Timestamp when the related document was created
`itbl_internal__document_updated_at`	`TIMESTAMP`	Timestamp when the related document was last updated
`_type`	`STRING`	Type of the event data
`created_at`	`TIMESTAMP`	Timestamp when the event was created
`email`	`STRING`	Email address related to the event
`user_id`	`STRING`	User ID associated with the event
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

list_users (4 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`email`	`STRING`	The email address of the user.
`list_id`	`INT64`	The unique identifier of the list to which the user belongs.
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

lists (6 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 or title of the list.
`created_at`	`INT64`	The date and time when the list was created.
`list_type`	`STRING`	The type or category of the list.
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

message_types (5 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`id`	`FLOAT64`	The unique identifier for the message type.
`name`	`STRING`	The display name for the message type.
`channel_id`	`FLOAT64`	The unique identifier for the channel the message belongs to.
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

metadata (3 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`name`	`STRING`	The name of the metadata
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

users (71 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`country`	`STRING`	Country name.
`first_order_date`	`TIMESTAMP`	Date and time of the first order.
`email_acquired_date`	`TIMESTAMP`	Date and time when the email was acquired.
`email_segment_status`	`STRING`	Status of the email segment.
`admin_graphql_api_id`	`STRING`	Admin GraphQL API ID.
`id`	`STRING`	User ID.
`most_recent_email_list`	`STRING`	Most recent email list the user is part of.
`most_recent_email_segment`	`STRING`	Most recent email segment the user is part of.
`aov`	`FLOAT64`	Average order value.
`first_campaign`	`STRING`	First campaign the user interacted with.
`third_most_recent_order_date`	`TIMESTAMP`	Date and time of the third most recent order.
`first_purchase_date`	`TIMESTAMP`	Date and time of the first purchase made by the user.
`first_medium`	`STRING`	First medium through which the user interacted.
`default_address__first_name`	`STRING`	First name of the user associated with the address.
`default_address__city`	`STRING`	City name.
`default_address__name`	`STRING`	Full name associated with the address.
`default_address__zip`	`STRING`	Postal code or ZIP code.
`default_address__country`	`STRING`	Country name of the address.
`default_address__address2`	`STRING`	Address line 2.
`default_address__company`	`STRING`	Company name associated with the address.
`default_address__country_code`	`STRING`	Country code of the address.
`default_address__id`	`STRING`	Unique identifier for the address.
`default_address__last_name`	`STRING`	Last name of the user associated with the address.
`default_address__address1`	`STRING`	Address line 1.
`default_address__default`	`BOOL`	Indicates if this is the default address.
`default_address__province`	`STRING`	Province or state of the address.
`default_address__province_code`	`STRING`	Province or state code of the address.
`default_address__country_name`	`STRING`	Full name of the country.
`default_address__phone`	`STRING`	Contact phone number.
`accepts_marketing`	`BOOL`	Indicates whether the user has consented to receive marketing communications.
`second_most_recent_order_date`	`TIMESTAMP`	Date and time of the second most recent order.
`state`	`STRING`	State name.
`most_recent_campaign`	`STRING`	Most recent campaign the user interacted with.
`zip`	`STRING`	Postal code or ZIP code.
`total_spent`	`FLOAT64`	Total amount spent by the user.
`most_recent_order_date`	`TIMESTAMP`	Date and time of the most recent order.
`last_order_id`	`STRING`	ID of the user's last order.
`tax_exempt`	`BOOL`	Indicates if the user is tax exempt.
`most_recent_source`	`STRING`	Most recent source of user interaction.
`twelve_month_ltr`	`INT64`	Lifetime total revenue for the past twelve months.
`verified_email`	`BOOL`	Indicates if the user's email address is verified.
`most_recent_medium`	`STRING`	Most recent medium of user interaction.
`orders_count`	`INT64`	Total number of orders made by the user.
`first_name`	`STRING`	User's first name.
`last_interaction_ts`	`TIMESTAMP`	Date and time of the last interaction with the user.
`bought_sas`	`BOOL`	Indicates if the user has purchased a specific product or service.
`last_name`	`STRING`	User's last name.
`last_order_name`	`STRING`	Name of the user's last order.
`second_order_date`	`TIMESTAMP`	Date and time of the second order.
`has_account`	`BOOL`	Indicates if the user has an account.
`city`	`STRING`	City name.
`itbl_internal__email_domain`	`STRING`	Domain of the user's email address.
`itbl_internal__document_updated_at`	`TIMESTAMP`	Date and time when the document was last updated.
`itbl_internal__document_created_at`	`TIMESTAMP`	Date and time when the document was created.
`has_reminder`	`BOOL`	Indicates if the user has set a reminder.
`third_order_date`	`TIMESTAMP`	Date and time of the third order.
`first_source`	`STRING`	First source of user interaction.
`first_name`	`STRING`	User's first name.
`email`	`STRING`	User's email address.
`profile_updated_at`	`TIMESTAMP`	Date and time when the profile was last updated.
`signup_date`	`TIMESTAMP`	Date and time when the user signed up.
`address1`	`STRING`	Primary address line of the user.
`last_name`	`STRING`	User's last name.
`ltr`	`INT64`	Lifetime total revenue.
`user_id`	`STRING`	User's unique identifier.
`shopify_created_at`	`TIMESTAMP`	Date and time when the user was created in Shopify.
`signup_source`	`STRING`	Source through which the user signed up.
`total_orders`	`INT64`	Total number of orders made by the user.
`shopify_updated_at`	`TIMESTAMP`	Date and time when the user was last updated in Shopify.
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: users__addresses

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.
`first_name`	`STRING`	First name of the user associated with the address.
`city`	`STRING`	City name.
`name`	`STRING`	Full name associated with the address.
`zip`	`STRING`	Postal code or ZIP code.
`country`	`STRING`	Country name of the address.
`address1`	`STRING`	Address line 1.
`address2`	`STRING`	Address line 2.
`company`	`STRING`	Company name associated with the address.
`country_code`	`STRING`	Country code of the address.
`default`	`BOOL`	Indicates if this is the default address.
`id`	`STRING`	Unique identifier for the address.
`last_name`	`STRING`	Last name of the user associated with the address.
`province`	`STRING`	Province or state of the address.
`province_code`	`STRING`	Province or state code of the address.
`country_name`	`STRING`	Full name of the country.
`phone`	`STRING`	Contact phone number.
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: users__email_list_ids

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.
`value`	`JSON`	IDs of the email lists associated with the user.
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: users__second_most_recent_order_cards

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.
`value`	`JSON`	Details of the second most recent order cards.
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: users__unsubscribed_channel_ids

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.
`value`	`JSON`	IDs of the channels from which the user unsubscribed.
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: users__most_recent_order_cards

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.
`value`	`JSON`	Details of the most recent order cards.
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: users__subscribed_message_type_ids

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.
`value`	`JSON`	IDs of the message types the user is subscribed to.
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: users__unsubscribed_message_type_ids

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.
`value`	`JSON`	IDs of the message types from which the user unsubscribed.
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: users__third_most_recent_order_cards

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.
`value`	`JSON`	Details of the third most recent order cards.
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: users__business_lines

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.
`value`	`JSON`	Business lines associated with the user.
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: users__second_order_cards

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.
`value`	`JSON`	Details of the second order cards.
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: users__third_order_cards

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.
`value`	`JSON`	Details of the third order cards.
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: users__first_order_cards

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.
`value`	`JSON`	Details of the first order cards.
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

How the Iterable sync works

After the first load, Kaivo keeps your BigQuery warehouse up to date for you. Where Iterable 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 Iterable?

It depends on how much history is in your Iterable 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 Iterable'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 Iterable, 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 Iterable 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 Iterable connector in Kaivo and all of its synced data is deleted with it.

Common use cases for Iterable data

Campaign performance

Track sends, opens, clicks, and conversions by campaign and channel.

Engagement trends

Analyse user events to see how engagement changes over time.

List health

Report on subscribes and unsubscribes to monitor list growth and churn.

Marketing and revenue together

Join Iterable engagement with revenue in BigQuery to connect campaigns to sales.

Use Iterable data in your AI and BI tools

Once Iterable 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 Iterable 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 Iterable connector pricing and plan details.

Google Ads: Sync Google Ads to BigQuery.
Gmail: Sync Gmail to BigQuery.
Custobar: Sync Custobar to BigQuery.
Google Search Console: Sync Google Search Console to BigQuery.
HubSpot: Sync HubSpot to BigQuery.
Adform: Sync Adform to BigQuery.

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