Supermetrics for Amazon Redshift
Connect Mailchimp to Amazon Redshift — Email Campaign Analytics Hub
Load Mailchimp email campaign performance and subscriber data into Amazon Redshift for email marketing analytics.
Why Connect Mailchimp to Amazon Redshift?
Warehouse your Mailchimp data in Amazon Redshift for unlimited historical analysis and cross-source SQL.
- Join Mailchimp campaign data with Shopify or CRM tables in Redshift to track email-driven revenue end to end.
- Retain unlimited email campaign history in Redshift for long-term engagement trend analysis beyond Mailchimp reporting.
- Use SQL to analyze open and click rates by subject line patterns across your full campaign history.
How to Connect Mailchimp to Amazon Redshift
Three steps. Under two minutes. Zero code.
- 1
Create a data transfer
Log into Supermetrics, select your data source and Amazon Redshift as your destination.
- 2
Authorize and configure
Connect your data source account, provide your Redshift cluster endpoint and credentials, choose your schema, and select the data you want to transfer.
- 3
Set schedule and start transfer
Choose your refresh frequency (hourly, daily, or weekly) and click Start. Your data begins flowing into Redshift via S3 COPY automatically.
Mailchimp Data Schema in Amazon Redshift
Supermetrics creates and maintains clean, typed tables automatically. Here's what your Mailchimp data looks like in Amazon Redshift.
Data Freshness & Scheduling
Mailchimp data is typically available in Redshift within 3-6 hours of the sync schedule.
What Mailchimp Data Can You Pull into Amazon Redshift?
Supermetrics gives Amazon Redshift access to your full Mailchimp reporting data — metrics and dimensions you already know from the Mailchimp interface.
Key Metrics
- Emails sent
- Open rate
- Click rate
- Bounce rate
- Unsubscribe rate
- Unique opens
- Unique clicks
- Total opens
- Revenue
- Orders
- Spam complaints
- Forwards
- Delivery rate
Key Dimensions
- Campaign name
- Campaign type
- Subject line
- Send date
- List name
- Automation name
- Email client
Resources & Guides
Marketing data warehousing 101
Build vs. buy: data pipeline decisions
The marketing analytics roadmap
Why Supermetrics for Amazon Redshift?
Purpose-built for marketing data since 2009. 200,000+ companies trust Supermetrics to move 15% of global ad spend into reporting and analytics destinations.
No Vendor Lock-In
Your data lands in Amazon Redshift — infrastructure you own and control. Use any BI tool, any transformation layer, any ML platform. If you ever switch providers, your data and dashboards stay with you.
170+ Marketing Data Sources
Purpose-built for marketing data — not a generic ETL tool. Supermetrics covers 99% of metrics and dimensions from each source, with pre-structured tables ready for analysis. No transformation layer required.
Incremental Loading
Only new and updated Mailchimp records are transferred on each run — efficient, cost-effective, and fast. Full historical backfill available on demand.
Your Data, Your Infrastructure
Supermetrics moves data directly to your destination — nothing is stored on our servers. SOC 2 Type II certified, GDPR and CCPA compliant. Your data stays in infrastructure you control, simplifying privacy and compliance reviews.
Flat-Rate, Predictable Pricing
Fixed annual pricing regardless of data volume — no per-row charges, no surprise bills during peak campaign seasons. Transfer as much Mailchimp data as you need without worrying about cost spikes.
Complete Data Access
Pull every contact, deal, campaign, and custom property from Mailchimp. No field restrictions, no record limits — your complete dataset, ready for analysis.
Frequently Asked Questions
- Log into the Supermetrics Hub, create a new data transfer, select Mailchimp as your source and Amazon Redshift as the destination. Authorize your Mailchimp account, provide your Redshift cluster endpoint and credentials, choose your target schema and table naming conventions, select the fields you need, set a schedule, and start the transfer. Supermetrics loads data using optimized S3 COPY commands — the same high-throughput path AWS recommends for bulk ingestion — so no custom ETL pipelines, AWS Glue jobs, or staging buckets are required.
- Supermetrics is SOC 2 Type II certified and GDPR compliant. All Mailchimp credentials are encrypted at rest and in transit using TLS 1.2+. Data flows directly from the Mailchimp API to your Redshift cluster — Supermetrics never stores your marketing data on its own servers. On the AWS side, your VPC isolation keeps the cluster off the public internet, IAM policies restrict which roles can access the data, and S3 server-side encryption protects any intermediate staging objects. You retain full control of your security perimeter.
- Absolutely — cross-source analysis is where Redshift shines in the AWS ecosystem. Once Mailchimp data lands in your cluster, you can JOIN it with any other table in the same schema. Need to enrich it with raw event logs or clickstream data sitting in S3? Redshift Spectrum lets you query those external files directly without loading them, so your cluster stays lean while your analysis spans petabytes. Supermetrics supports 170+ data sources that all land in the same Redshift schema, and you can optimize JOIN performance further with DISTKEY and SORTKEY settings on frequently queried columns.
- All standard Mailchimp reporting fields are available, including Emails sent, Open rate, Click rate, Bounce rate, Unsubscribe rate, Unique opens, and many more. You select exactly which metrics and dimensions to transfer during setup, and you can add or remove fields at any time without losing historical data already loaded into Redshift. Because Redshift uses columnar storage, queries that scan only a few selected metrics out of a wide table are extremely fast — the engine skips unneeded columns at the disk level, reducing I/O and keeping your analytics snappy.
- Data freshness depends on your transfer schedule. Supermetrics supports hourly, daily, or weekly transfers into Redshift. Most teams schedule daily transfers so yesterday's final numbers are ready each morning. Incremental loading means only new and changed records are written via optimized S3 COPY commands, keeping cluster load minimal. If you define a SORTKEY on your date column, Redshift can skip entire disk blocks during time-range queries, making your morning dashboards in QuickSight or Tableau load in seconds.
- Yes. Automation workflows and their individual email performance metrics are available for loading into Redshift.
- Yes. Mailchimp revenue and order data from connected e-commerce stores is included, and you can join with Shopify or other store data for verification.
Also Connect to Amazon Redshift
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