No-code pipeline · MailChimp → Amazon S3

Send data from MailChimp to Amazon S3

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From MailChimp to Amazon S3: managed, scheduled, no code.

Kondado automatically replicates MailChimp campaign metrics, audience data, and engagement statistics to Amazon S3 on a configurable schedule ranging from every 5 minutes to daily, delivering data in a format optimized for storage and compute separation.

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Send MailChimp Data to Amazon S3 Automatically

Setting up a connection between MailChimp and Amazon S3 requires no coding when you use a data replication platform. You authenticate your MailChimp account, provide your Amazon S3 bucket details, and select which marketing metrics you want to replicate. The platform manages the data transfer on your chosen schedule, ensuring your S3 bucket contains fresh campaign data for analysis with tools like Amazon Athena or Presto.

Once your data lands in Amazon S3, you can query it directly using SQL engines or combine it with other business data for comprehensive marketing analytics. This setup provides consistent, up-to-date email marketing performance data for building custom dashboards in your preferred analytics environment.

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Available Pipelines

The Reports pipeline captures comprehensive email marketing metrics including open rates, click-through statistics, and subscriber activity data directly into your S3 storage. You can analyze campaign performance trends alongside unsubscribe rates and list growth metrics to optimize your audience engagement strategies. This pipeline delivers 62 distinct fields that enable deep segmentation analysis and cohort tracking within your Amazon S3 environment. By storing this data in S3, you can build custom analytics workflows that combine MailChimp engagement metrics with sales figures from CRM systems or website analytics from other sources to calculate true marketing ROI and customer lifetime value.

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Replicated to Amazon S3

MailChimp data available for Amazon S3

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

available pipeline

extractable fields

Amazon S3

Destination

Available integrations

Reports

Includes metrics such as open rate, click rate, and emails sent, along with information on active lists and unsubscribe rates.

See all available data → Send MailChimp to Amazon S3 →

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How to send MailChimp data to Amazon S3

Sync data automatically — no code, no manual exports.

Connect MailChimp data source

Authenticate your MailChimp account through Kondado's interface by providing your API credentials and selecting your MailChimp audience or account. This establishes the source connection that will extract your campaign metrics and audience data.

Configure Amazon S3 destination

Enter your Amazon S3 bucket name, region, and folder path where you want the MailChimp data stored. You can also specify file formatting options that work best with your preferred query engines like Athena or Presto.

Select pipelines and set schedule

Choose the Reports pipeline containing your 62 fields of campaign metrics and configure your update frequency from every 5 minutes to daily. Once activated, Kondado automatically replicates your selected MailChimp data to Amazon S3 on the schedule you defined.

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Send data from MailChimp to other destinations

MailChimp > Looker Studio

MailChimp > Power BI

Other visualizations

MailChimp > Amazon S3

MailChimp > BigQuery

MailChimp > Excel

MailChimp > Google Sheets

MailChimp > MySQL

MailChimp > PostgreSQL

MailChimp > Redshift

MailChimp > SQL Server

Choose a tool to visualize your MailChimp data

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

MailChimp > Airtable

MailChimp > Alteryx

MailChimp > Amazon Quicksight

MailChimp > BIMachine

MailChimp > Cortex

MailChimp > Data Studio

MailChimp > Geckoboard

MailChimp > Grafana

MailChimp > IBM Cognos Analytics

MailChimp > Klipfolio

MailChimp > Looker Studio

MailChimp > Looker

MailChimp > Looqbox

MailChimp > Metabase

MailChimp > Microstrategy

MailChimp > Pentaho

MailChimp > Power BI

MailChimp > Qlik Cloud Analytics

MailChimp > Qlik Sense

MailChimp > Qlik

MailChimp > QlikView

MailChimp > Redash

MailChimp > Superset

MailChimp > Tableau

MailChimp > BI TOTVS

MailChimp > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending MailChimp data to Amazon S3 automatically

How do I connect MailChimp to Amazon S3 without writing code? ▼

You can use Kondado to establish a direct connection between your MailChimp account and Amazon S3 bucket without any programming. Simply authenticate your MailChimp credentials, enter your S3 bucket and path details, and select the Reports pipeline containing your campaign metrics. The platform handles the data extraction and loading automatically on your chosen schedule.

What specific MailChimp campaign metrics can I replicate to Amazon S3? ▼

The Reports pipeline includes 62 fields covering open rates, click rates, emails sent, active list counts, and unsubscribe rates. You can access detailed engagement statistics and audience behavior data that enables comprehensive campaign performance analysis once the data lands in your S3 storage.

How frequently can I update MailChimp data in my Amazon S3 bucket? ▼

Kondado offers configurable replication schedules ranging from every 5 minutes to daily updates, depending on your analytics needs. You select the frequency when setting up the pipeline, and the system automatically replicates new data from MailChimp to keep your S3 files current without manual intervention.

What file format does MailChimp data use when stored in Amazon S3? ▼

Data arrives in formats optimized for analytics engines like Amazon Athena, Presto, and Dremio, typically as compressed columnar files that separate storage from compute resources. This structure allows you to query large volumes of email marketing data efficiently without loading everything into memory first.

Can I combine MailChimp data with other marketing platforms in Amazon S3? ▼

Yes, you can replicate data from multiple sources into the same S3 bucket or prefix structure, then join MailChimp engagement metrics with data from BigQuery, PostgreSQL, or other databases. This enables unified marketing analytics that correlate email performance with website analytics or CRM data.

Do I need technical skills to maintain the MailChimp to S3 connection? ▼

No ongoing technical maintenance is required once you configure the initial connection through Kondado's interface. The platform manages API changes, data schema updates, and error handling automatically, allowing marketing analysts to focus on building dashboards rather than managing data infrastructure.

Can I send MailChimp data to analytics tools besides Amazon S3? ▼

Yes, you can route your MailChimp data to multiple destinations simultaneously, including Power BI, Looker Studio, Google Sheets, or BigQuery. This flexibility lets different teams access the same marketing data in their preferred analytics environment while maintaining a central backup in Amazon S3.

Try out all the features for free for 14 days

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