No-code pipeline · Salesforce Marketing Cloud (Exact Target) → PostgreSQL

Send data from Salesforce Marketing Cloud (Exact Target) to PostgreSQL

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From Salesforce Marketing Cloud (Exact Target) to PostgreSQL: managed, scheduled, no code.
Creating a pipeline that sends data from Salesforce Marketing Cloud (Exact Target) to PostgreSQL databases takes only a few minutes with Kondado. And the whole integration from Salesforce Marketing Cloud (Exact Target) to PostgreSQL is managed and executed by our platform. With Kondado, you can focus on extracting value from Salesforce Marketing Cloud (Exact Target) data and combining it with other data in your PostgreSQL database

Send Salesforce Marketing Cloud (Exact Target) to PostgreSQL

Kondado automates the replication of your marketing data from Salesforce Marketing Cloud (Exact Target) to PostgreSQL on a configurable schedule. Simply authenticate your Salesforce Marketing Cloud account as your data source, select the pipelines you need from the nine available options, and configure your PostgreSQL destination. Your data flows automatically without manual exports or complex coding, keeping your database current with subscriber lists, campaign metrics, and engagement events. You control the replication frequency based on your analytics needs, choosing from intervals as frequent as every 5 minutes for near-real-time monitoring or daily updates for historical reporting.

Kondado replicates Salesforce Marketing Cloud (Exact Target) data to PostgreSQL automatically on a configurable schedule, offering nine pipelines including Data Extensions, Events, and Subscribers with 164 fields total. Users can update data every 5 minutes, 15 minutes, hourly, or daily, enabling near-real-time marketing analytics in PostgreSQL without manual intervention.

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

Available pipelines and use cases

Replicate your Data Extension pipelines to PostgreSQL to unify custom marketing attributes with transactional data for deep segmentation analysis. Combine Events data with subscriber engagement metrics from the Subscribers pipeline to calculate churn probabilities and campaign ROI directly in your database. With List Sends and Sends pipelines available, you can track delivery performance over time and correlate send volumes with conversion rates stored in PostgreSQL for comprehensive campaign optimization. This consolidated data enables you to build custom reports in Looker Studio or query complex multi-channel customer journeys using standard SQL without accessing the marketing cloud directly, streamlining your marketing analytics workflow.

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Replicated to PostgreSQL

Salesforce Marketing Cloud (Exact Target) data available for PostgreSQL

Tables Kondado writes into your PostgreSQL, on a schedule you control.

9
available pipelines
164
extractable fields
PostgreSQL
Destination

Available integrations

Data Extension
Returns data from a specific data extension, including _kdd_rowkey, col_x, col_y, and col_z, allowing for incremental or full integration.
Emails
Provides definitions of stored emails, with fields such as id, status, name, and modifieddate, along with information on dynamic subject line usage.
Events
Captures event data, allowing analysis of interactions with campaigns, including timestamps and other relevant details.
Folders
Organizes and categorizes objects, with fields such as id and folder, facilitating the management of emails and other assets.
List Sends
Records list sends, allowing analysis of metrics such as number of sends and status, essential for marketing campaigns.
List Subscribers
Provides information about list subscribers, including data such as email and status, fundamental for segmentation and engagement.
Lists
Groups subscribers and allows efficient management, with fields such as id and customerkey, essential for targeted campaigns.
Sends
Monitors all sends made, with metrics such as status and timestamps, allowing performance analysis of campaigns.
Subscribers
Contains information about subscribers, including fields such as email and status, essential for list and campaign management.

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How to send Salesforce Marketing Cloud (Exact Target) data to PostgreSQL

Sync data automatically — no code, no manual exports.

1
Connect Salesforce Marketing Cloud Account

Authenticate your Salesforce Marketing Cloud (Exact Target) data source in Kondado by providing your API credentials and selecting your business unit. The platform validates the connection and displays available pipelines including Data Extensions, Events, and Subscribers.

2
Configure PostgreSQL Destination

Enter your PostgreSQL connection details including host, database name, and credentials to establish the destination endpoint. Kondado tests the connection and prepares the schema structure for incoming marketing data.

3
Select Pipelines and Schedule

Choose which pipelines to replicate, such as List Sends or Subscribers, and set your preferred update frequency from 5 minutes to daily. Activate the configuration to begin automated data replication to your PostgreSQL database.

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Frequently Asked Questions (FAQ)

Answers about sending Salesforce Marketing Cloud (Exact Target) data to PostgreSQL automatically

How does Kondado replicate Salesforce Marketing Cloud data to PostgreSQL?
Kondado uses automated pipelines to extract data from your Salesforce Marketing Cloud account and load it into PostgreSQL on a schedule you configure. The platform handles authentication, data type mapping, and incremental updates automatically, ensuring your database reflects the latest marketing metrics without manual CSV exports or API scripting. You simply select your desired pipelines, set the frequency, and Kondado manages the replication process.
What Salesforce Marketing Cloud data can I replicate to PostgreSQL?
You can replicate nine distinct pipelines including Data Extensions, Emails, Events, Folders, List Sends, List Subscribers, Lists, Sends, and Subscribers, covering 164 total fields. This includes subscriber information, campaign send metrics, engagement events, and custom data extension attributes. The Data Extension pipeline is particularly valuable for accessing custom marketing data structures unique to your organization.
How often can I update Salesforce Marketing Cloud data in PostgreSQL?
Kondado offers configurable scheduling options ranging from every 5 minutes for near-real-time analytics to hourly, daily, or custom intervals. You can set different frequencies for different pipelines based on your reporting needs, updating high-priority Events data frequently while refreshing historical Lists data less often. This flexibility ensures your PostgreSQL database balances data freshness with processing efficiency.
What format does Salesforce Marketing Cloud data take in PostgreSQL?
Data arrives in PostgreSQL as structured relational tables that mirror your Salesforce Marketing Cloud objects, with appropriate data types preserved for timestamps, text fields, and numeric metrics. Each pipeline creates its own table structure, maintaining field names and relationships from the source system. You can query this data immediately using standard SQL or connect Power BI and Looker Studio for visualization.
Can I combine Salesforce Marketing Cloud data with other sources in PostgreSQL?
Yes, once your marketing data resides in PostgreSQL, you can join it with data from other Kondado sources like CRM systems, e-commerce platforms, or advertising networks. This enables unified customer analytics by correlating email engagement with purchase history or ad spend. Create comprehensive reports that span multiple channels by querying all your replicated data within a single PostgreSQL environment.
Do I need coding skills to send Salesforce Marketing Cloud data to PostgreSQL?
No coding is required to configure the replication, as Kondado provides a no-code interface for selecting pipelines and setting schedules. The platform handles all API connections, data transformation, and schema management automatically. You only need PostgreSQL access credentials and your Salesforce Marketing Cloud authentication to begin replicating data immediately.
What is the difference between Data Extensions and Subscribers pipelines?
The Subscribers pipeline contains core contact information like email addresses and subscription status, while Data Extensions provide access to custom marketing tables with additional attributes specific to your campaigns. Data Extensions often contain behavioral data, preferences, or external identifiers that enrich basic subscriber records. Replicating both pipelines to PostgreSQL allows you to join these datasets for complete customer profiles.
Can I use this data with BI tools after it's in PostgreSQL?
Yes, PostgreSQL serves as an excellent data warehouse for business intelligence tools like Power BI and Looker Studio, which connect directly to your database to build custom marketing dashboards. The standardized table structure created by Kondado ensures seamless compatibility with any SQL-based analytics platform. You can also query the data directly or export to Google Sheets for quick ad-hoc analysis.

Try out all the features for free for 14 days

Try out all the features for free for 14 days