No-code pipeline · Salesforce Marketing Cloud (Exact Target) → Amazon S3

Send data from Salesforce Marketing Cloud (Exact Target) to Amazon S3

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From Salesforce Marketing Cloud (Exact Target) to Amazon S3: managed, scheduled, no code.

Creating a pipeline that sends data from Salesforce Marketing Cloud (Exact Target) to Amazon S3 data lakes takes only a few minutes with Kondado. And the whole integration from Salesforce Marketing Cloud (Exact Target) to Amazon S3 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 Amazon S3 data lake

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Salesforce Marketing Cloud (Exact Target) to Amazon S3

To send Salesforce Marketing Cloud (Exact Target) data to Amazon S3, you need a direct integration that automates data extraction and loading. Kondado connects to your marketing platform as a data source and replicates selected pipelines to your S3 buckets on a configurable schedule. You choose which data endpoints to replicate, from subscriber lists to campaign events, without writing any code. Once in Amazon S3, your marketing data becomes available for analysis with Athena, Presto, or Dremio, or can be sent to BigQuery and PostgreSQL for further processing.

Kondado provides a no-code data source for Salesforce Marketing Cloud (Exact Target) that replicates nine distinct pipelines including Data Extensions, Events, and Subscribers to Amazon S3 on schedules ranging from five minutes to daily, enabling automated data lakes for marketing analytics.

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

Available Pipelines

Replicate your Data Extensions pipeline to Amazon S3 to centralize custom marketing data for cross-channel analysis alongside other sources. The Events pipeline captures every interaction timestamp and campaign touchpoint, enabling you to build custom attribution models in your data lake using SQL queries or visualization tools. With the Subscribers pipeline, you maintain an updated master record of contacts and engagement status for segmentation workflows that power personalized campaigns across Power BI or Looker Studio dashboards.

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Replicated to Amazon S3

Salesforce Marketing Cloud (Exact Target) data available for Amazon S3

Tables Kondado writes into your Amazon S3, on a schedule you control.

available pipelines

164

extractable fields

Amazon S3

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.

See all available data → Send Salesforce Marketing Cloud (Exact Target) to Amazon S3 →

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How to send Salesforce Marketing Cloud (Exact Target) data to Amazon S3

Sync data automatically — no code, no manual exports.

Connect Salesforce Marketing Cloud

Add your Salesforce Marketing Cloud (Exact Target) account to Kondado by entering your API credentials and authentication details. This creates a direct data source connection that accesses your marketing platform's available pipelines for replication to Amazon S3 or other destinations like BigQuery.

Configure Amazon S3

Set up your Amazon S3 destination by specifying the bucket name, region, and folder paths where your marketing data will be stored. You can also define file formats and compression settings to optimize storage costs before potentially sending data to PostgreSQL or Power BI for visualization.

Select Data and Schedule

Choose which pipelines to replicate from the nine available options including Data Extensions, Events, and Subscribers, then set your preferred update frequency. Kondado will automatically extract and load your marketing data to Amazon S3, with options to forward to Google Sheets or Looker Studio for immediate reporting.

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Send data from Salesforce Marketing Cloud (Exact Target) to other destinations

Salesforce Marketing Cloud (Exact Target) > Looker Studio

Salesforce Marketing Cloud (Exact Target) > Power BI

Other visualizations

Salesforce Marketing Cloud (Exact Target) > Amazon S3

Salesforce Marketing Cloud (Exact Target) > BigQuery

Salesforce Marketing Cloud (Exact Target) > Excel

Salesforce Marketing Cloud (Exact Target) > Google Sheets

Salesforce Marketing Cloud (Exact Target) > MySQL

Salesforce Marketing Cloud (Exact Target) > PostgreSQL

Salesforce Marketing Cloud (Exact Target) > Redshift

Salesforce Marketing Cloud (Exact Target) > SQL Server

Choose a tool to visualize your Salesforce Marketing Cloud (Exact Target) data

If the software you need is not listed, drop us a messagem. You can use almost every tool

Salesforce Marketing Cloud (Exact Target) > Airtable

Salesforce Marketing Cloud (Exact Target) > Alteryx

Salesforce Marketing Cloud (Exact Target) > Amazon Quicksight

Salesforce Marketing Cloud (Exact Target) > BIMachine

Salesforce Marketing Cloud (Exact Target) > Cortex

Salesforce Marketing Cloud (Exact Target) > Data Studio

Salesforce Marketing Cloud (Exact Target) > Geckoboard

Salesforce Marketing Cloud (Exact Target) > Grafana

Salesforce Marketing Cloud (Exact Target) > IBM Cognos Analytics

Salesforce Marketing Cloud (Exact Target) > Klipfolio

Salesforce Marketing Cloud (Exact Target) > Looker Studio

Salesforce Marketing Cloud (Exact Target) > Looker

Salesforce Marketing Cloud (Exact Target) > Looqbox

Salesforce Marketing Cloud (Exact Target) > Metabase

Salesforce Marketing Cloud (Exact Target) > Microstrategy

Salesforce Marketing Cloud (Exact Target) > Pentaho

Salesforce Marketing Cloud (Exact Target) > Power BI

Salesforce Marketing Cloud (Exact Target) > Qlik Cloud Analytics

Salesforce Marketing Cloud (Exact Target) > Qlik Sense

Salesforce Marketing Cloud (Exact Target) > Qlik

Salesforce Marketing Cloud (Exact Target) > QlikView

Salesforce Marketing Cloud (Exact Target) > Redash

Salesforce Marketing Cloud (Exact Target) > Superset

Salesforce Marketing Cloud (Exact Target) > Tableau

Salesforce Marketing Cloud (Exact Target) > BI TOTVS

Salesforce Marketing Cloud (Exact Target) > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending Salesforce Marketing Cloud (Exact Target) data to Amazon S3 automatically

How does Kondado replicate Salesforce Marketing Cloud data to Amazon S3? ▼

Kondado connects to Salesforce Marketing Cloud using your API credentials and extracts data from selected pipelines. The platform loads this data into your specified Amazon S3 bucket in your chosen format, maintaining schema consistency across automated updates. You configure which pipelines to replicate and how frequently the data refreshes without managing infrastructure.

What data formats are available when replicating to Amazon S3? ▼

Kondado delivers your marketing data to Amazon S3 in structured formats compatible with analytics engines like Athena and Presto. You can configure the output to match your data lake architecture, ensuring seamless integration with existing ETL processes or direct querying from BigQuery and other analytics platforms.

How often can I update my Salesforce Marketing Cloud data in Amazon S3? ▼

You choose update frequencies ranging from every five minutes to daily intervals based on your analytics requirements. This configurable schedule ensures your Amazon S3 data lake reflects recent campaign activities without manual intervention. Near-real-time options support operational dashboards while daily updates suit historical analysis workflows.

Can I combine Salesforce Marketing Cloud data with other sources in Amazon S3? ▼

Yes, Amazon S3 serves as a central repository where your marketing data coexists with information from CRM systems, advertising platforms, and databases. You can join Salesforce Marketing Cloud Events and Subscribers data with other sources to create unified customer views. From Amazon S3, send consolidated datasets to Power BI or Looker Studio for comprehensive reporting.

What is included in the Data Extensions pipeline from Salesforce Marketing Cloud? ▼

The Data Extensions pipeline extracts custom data structures including row keys and user-defined columns from your specific extensions. This includes fields like col_x, col_y, and col_z alongside the system-generated _kdd_rowkey identifier. You can configure this pipeline for incremental updates to capture only new records or full refreshes for complete data snapshots.

Do I need to create tables in Amazon S3 before replicating data? ▼

No, Kondado automatically manages the data structure in your Amazon S3 bucket according to your selected pipeline configurations. The platform handles schema creation and updates as your Salesforce Marketing Cloud data evolves. You simply specify the bucket and folder paths where you want each pipeline stored.

Can I send Salesforce Marketing Cloud data from Amazon S3 to other destinations? ▼

Absolutely, once your marketing data resides in Amazon S3, you can route it to additional platforms for specialized analysis. Kondado supports forwarding data from Amazon S3 to BigQuery, PostgreSQL, Power BI, and Google Sheets to support different business intelligence workflows across your organization.

Try out all the features for free for 14 days

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Try out all the features for free for 14 days