Connectors

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Iterable

Data replication

Sync Iterable data anywhere.

Iterable is a marketing platform designed to help businesses grow. Its automated platform enables businesses to measure and optimize customer interactions, with the ability to easily create and execute cross-channel campaigns. Through in-app notifications, email, SMS, web and mobile push, and social media integrations, Iterable powers the entire customer engagement lifecycle, throughout all stages of the customer journey.

  • Standard
  • Generally available
  • 43 streams
Iterable

Everything Iterable can do in Airbyte

  • Sync to your warehouse

    Land 43 Iterable 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.

  • One authorization

    Authenticate Iterable once and Airbyte keeps every scheduled sync running on it.

  • Cloud or self-hosted

    Run the Iterable connector on Cloud, Self-Managed Enterprise.

What to know before you sync Iterable

  • Support levelStandard
  • Available onCloud, Self-Managed Enterprise
  • Connector version1.0.0
  • Release stageGenerally available

Sync capabilities

  • Full Refresh SyncSupported
  • Incremental SyncSupported
  • Destinations50+ Airbyte connectors

Set up in 9 steps

  1. First, navigate to the Airbyte dashboard and click on "Sources" in the left-hand menu.
  2. Click on the "Create New Source" button and select "Iterable" from the list of available connectors.
  3. Enter a name for your Iterable source and click "Next".
  4. Enter your Iterable API key in the "API Key" field. You can find your API key in your Iterable account under "API Keys" in the "Integrations" tab.
  5. Select the data you want to sync from Iterable by checking the boxes next to the relevant objects (e.g. users, campaigns, events).
  6. Choose how often you want your data to sync by selecting a sync frequency from the dropdown menu.
  7. Click "Test" to ensure that your credentials are correct and that Airbyte can connect to your Iterable account.
  8. If the test is successful, click "Create Source" to save your Iterable source and start syncing your data.
  9. You can monitor the progress of your sync in the Airbyte dashboard under "Jobs".

Every table you can sync from Iterable

  • Campaigns

  • Campaign Metrics

  • Channels

  • Email Bounce

  • Email Complaint

  • Email Open

  • Email Send

  • Email Send Skip

  • Email Subscribe

  • Email Unsubscribe

  • Events

  • Lists

  • List Users

  • Message Types

  • Metadata

  • Templates

  • Users

  • PushSend

  • PushSendSkip

  • PushOpen

  • PushUninstall

  • PushBounce

  • WebPushSend

  • WebPushClick

  • WebPushSendSkip

  • InAppSend

  • InAppOpen

  • InAppClick

  • InAppClose

  • InAppDelete

  • InAppDelivery

  • InAppSendSkip

  • InboxSession

  • InboxMessageImpression

  • SmsSend

  • SmsBounce

  • SmsClick

  • SmsReceived

  • SmsSendSkip

  • SmsUsageInfo

  • Purchase

  • CustomEvent

  • HostedUnsubscribeClick

Authenticate Iterable once

  • API Key

    Iterable API Key. See the docs for more information on how to obtain this key.

Common questions

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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.

Iterable's API provides access to a wide range of data related to customer engagement and marketing campaigns. The following are the categories of data that can be accessed through Iterable's API:

1. User data: This includes information about individual users such as their email address, name, location, and other demographic information.

2. Campaign data: This includes information about marketing campaigns such as email campaigns, push notifications, and SMS campaigns. It includes data on the number of messages sent, open rates, click-through rates, and conversion rates.

3. Event data: This includes data on user behavior such as website visits, product purchases, and other actions taken by users.

4. List data: This includes information about the lists of users that have been created in Iterable, including the number of users in each list and their engagement history.

5. Template data: This includes information about the email templates and other marketing materials used in campaigns, including their design, content, and performance metrics.

6. Analytics data: This includes data on the performance of marketing campaigns, including metrics such as revenue generated, customer lifetime value, and return on investment.

1. First, navigate to the Airbyte dashboard and click on "Sources" in the left-hand menu.

2. Click on the "Create New Source" button and select "Iterable" from the list of available connectors.

3. Enter a name for your Iterable source and click "Next".

4. Enter your Iterable API key in the "API Key" field. You can find your API key in your Iterable account under "API Keys" in the "Integrations" tab.

5. Select the data you want to sync from Iterable by checking the boxes next to the relevant objects (e.g. users, campaigns, events).

6. Choose how often you want your data to sync by selecting a sync frequency from the dropdown menu.

7. Click "Test" to ensure that your credentials are correct and that Airbyte can connect to your Iterable account.

8. If the test is successful, click "Create Source" to save your Iterable source and start syncing your data.

9. You can monitor the progress of your sync in the Airbyte dashboard under "Jobs".

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.

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.

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 Iterable data today

Free for 14 days on Airbyte Cloud. Set up the Iterable connector once and let Airbyte keep it in sync.