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MailChimp + PostgreSQL

Mailchimp is an email marketing platform that provides an effective way to automate and streamline email campaigns, including newsletter creation, audience segmentation, A/B testing, and performance reporting. PostgreSQL, on the other hand, is a robust, scalable open-source relational database management system. It supports a wide range of data types and advanced capabilities.

With Erathos, you can connect Mailchimp data to PostgreSQL in just a few minutes. Our platform handles the entire data movement process into your analytics stack and lets you combine that data with other sources in your Data Warehouse. That way, your time goes toward what really drives value — extracting actionable insights and making more data-driven decisions.

What Mailchimp data does Erathos sync with PostgreSQL?

The integration automatically syncs the main Mailchimp objects:

  • Contact lists — segments, tags, and inclusion criteria

  • Campaigns — status, send metrics, and campaign performance

  • Automations — workflows, steps, and outcomes for each automation

  • Engagement events — opens, clicks, conversions, and unsubscribes

  • Email metrics — open rate, CTR, bounce rate, and deliverability

  • Custom fields — custom properties and tags

Why sync Mailchimp with PostgreSQL?

Mailchimp's built-in analytics show campaign performance in isolation. In PostgreSQL, you can blend that data with revenue, product usage, and support — calculating the true ROI of each campaign, identifying which automations drive higher-LTV customers, and uncovering the channels that convert best for retention, not just acquisition.

How it works

Erathos connects to Mailchimp via the official API and syncs your data incrementally — only new or updated records are processed on each run, keeping pipelines fast and PostgreSQL costs predictable. You choose the sync frequency (from every 5 minutes to daily), the objects to sync, and the destination dataset. Every run is fully observable: execution time, rows processed, context-rich errors, and instant alerts via Slack or email if anything goes wrong.

No credit card required.

Why do data teams choose Erathos for Mailchimp?

Data in your data warehouse in minutes

Data in your data warehouse in minutes

Ready-to-use MailChimp connector

Connect MailChimp to PostgreSQL in minutes. Lists, campaigns, automations, and events are synchronized automatically—with full engagement tracking and no manual scripts.

Total control over your MailChimp pipelines

Configure sync frequency and type by table. Erathos uses intelligent UPSERT in PostgreSQL—ensuring data consistency even during reprocessing.

End-to-end observability

Stop finding out about Mailchimp failures only after the business team complains. Every run is logged with runtime, processed rows, and error context. Get automatic alerts in Slack, Discord, or email the moment anything drifts from expected behavior—so your marketing data stays fresh for the next campaign analysis.

No credit card required

No credit card required

Why companies move their data from Mailchimp to PostgreSQL with Erathos

Centralizing MailChimp data in PostgreSQL has never been so simple

Erathos is a data ingestion platform for teams that need to centralize marketing data reliably. With the MailChimp connector, you can automatically move lists, campaigns, automations, and engagement events into PostgreSQL—with full logs, smart alerts, and zero maintenance.

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Our Customers

Writing data-driven stories

Writing data-driven stories

  • bruno-brick

    1

    bruno-brick

    Bruno Rosso

    Data Analyst

    brick-companylogo

    Every new source implementation, if I had to do it alone, would take me about two or three months. With Erathos, it's done in a few hours. I don't need a data engineer's skillset to deliver real value with company data.

    bruno-brick

    10

    Luis Ribas

    CTO

    I can describe my experience with Erathos as seamless; we had no major issues migrating from our old data pipeline platform. Their support is always impeccable, both in answering questions and resolving issues. I highly recommend them, without a doubt.

    bruno-brick

    11

    Sayuri Valente

    Project Manager

    The robustness and efficiency of Erathos's connectors—whether for Meta, Google, RD Station, or ERPs like Bling and Conta Azul—make the entire pipeline much faster and more reliable. The technical documentation is extremely well-crafted and intuitive, which greatly legacy simplifies implementation.

    kaue-uooushop

    2

    kaue-uooushop

    Kauê Raizer

    Co-founder

    uooushop-companylogo

    Centralizing our data with Erathos gave us a roadmap to structure the company: today, we can view NPS and churn in a consolidated way and use that to drive decisions. If I were to give advice to another founder, it would be: centralize your data from day one.

    bruno-brick

    3

    Matheus Nunes

    CTO & Co-founder

    Erathos revolutionized data management at WE. By integrating multiple SaaS platforms into a single DW, our engineering team can now focus on the core business. We implemented dashboards providing insights across all departments, enriching our data culture and streamlining decision-making.

    bruno-brick

    4

    Fernando R.

    Head of Data

    Erathos brought an incredible boost in productivity. With no worries about data ingestion, the team focused on strategy rather than pipeline maintenance. Implementing a new connector takes minutes, and the reliability is outstanding. It was one of the best decisions we've made.

    carlos-brick

    5

    carlos-brick

    Carlos Schwabe

    Co-Founder & CDO

    We used to have a lot of rework, but not anymore. Working this way is much more efficient. If it's not your core business, hire Erathos. Spend your time modeling your own domain, not someone else's.

    bruno-brick

    6

    Fernando Costa

    CTO & Co-founder

    It was impossible to run our operations on spreadsheets. Erathos was a perfect fit: they became the data engineer I didn't have. We managed to reduce analysis time, establish weekly data rituals, and, most importantly, trust the data we use.

    thiago-brick

    7

    thiago-brick

    Thiago Paz

    CFO

    If I didn't have this infrastructure, I would need three or four people to do what Erathos does today. I was able to drive real value from my data with a much leaner team than I ever imagined needing.

    felipe-uooushop

    8

    felipe-uooushop

    Felipe Corrêa

    CTO & Co-founder

    Uooushop-companylogo

    Erathos is essential for anyone looking for a quick go-live when centralizing data from multiple sources. We successfully integrated 6 different data sources in a single day, something that would have taken weeks without Erathos.

  • bruno-brick

    1

    bruno-brick

    Bruno Rosso

    Data Analyst

    brick-companylogo

    Every new source implementation, if I had to do it alone, would take me about two or three months. With Erathos, it's done in a few hours. I don't need a data engineer's skillset to deliver real value with company data.

    bruno-brick

    10

    Luis Ribas

    CTO

    I can describe my experience with Erathos as seamless; we had no major issues migrating from our old data pipeline platform. Their support is always impeccable, both in answering questions and resolving issues. I highly recommend them, without a doubt.

    bruno-brick

    11

    Sayuri Valente

    Project Manager

    The robustness and efficiency of Erathos's connectors—whether for Meta, Google, RD Station, or ERPs like Bling and Conta Azul—make the entire pipeline much faster and more reliable. The technical documentation is extremely well-crafted and intuitive, which greatly legacy simplifies implementation.

    kaue-uooushop

    2

    kaue-uooushop

    Kauê Raizer

    Co-founder

    uooushop-companylogo

    Centralizing our data with Erathos gave us a roadmap to structure the company: today, we can view NPS and churn in a consolidated way and use that to drive decisions. If I were to give advice to another founder, it would be: centralize your data from day one.

    bruno-brick

    3

    Matheus Nunes

    CTO & Co-founder

    Erathos revolutionized data management at WE. By integrating multiple SaaS platforms into a single DW, our engineering team can now focus on the core business. We implemented dashboards providing insights across all departments, enriching our data culture and streamlining decision-making.

    bruno-brick

    4

    Fernando R.

    Head of Data

    Erathos brought an incredible boost in productivity. With no worries about data ingestion, the team focused on strategy rather than pipeline maintenance. Implementing a new connector takes minutes, and the reliability is outstanding. It was one of the best decisions we've made.

    carlos-brick

    5

    carlos-brick

    Carlos Schwabe

    Co-Founder & CDO

    We used to have a lot of rework, but not anymore. Working this way is much more efficient. If it's not your core business, hire Erathos. Spend your time modeling your own domain, not someone else's.

    bruno-brick

    6

    Fernando Costa

    CTO & Co-founder

    It was impossible to run our operations on spreadsheets. Erathos was a perfect fit: they became the data engineer I didn't have. We managed to reduce analysis time, establish weekly data rituals, and, most importantly, trust the data we use.

    thiago-brick

    7

    thiago-brick

    Thiago Paz

    CFO

    If I didn't have this infrastructure, I would need three or four people to do what Erathos does today. I was able to drive real value from my data with a much leaner team than I ever imagined needing.

    felipe-uooushop

    8

    felipe-uooushop

    Felipe Corrêa

    CTO & Co-founder

    Uooushop-companylogo

    Erathos is essential for anyone looking for a quick go-live when centralizing data from multiple sources. We successfully integrated 6 different data sources in a single day, something that would have taken weeks without Erathos.

Trusted by data-driven companies

Simplified data ingestion

Move your data in minutes

Move your data in minutes

1

Select your data source

More than 80 plug-and-play connectors to consolidate data from multiple sources, eliminate time-consuming manual processes, and create a streamlined path forward.

2

Setup your pipeline

Manage your pipeline seemlessly. Select a sync hour, frequency and type at a table/endpoint level.

3

Select your data warehouse

Choose between Amazon S3, BigQuery, Databricks, Redshift and PosgreSQL to centrlize your data

FAQ

Frequently Asked Questions

Frequently Asked Questions

What is Erathos and how can it help my company?

Erathos is a data ingestion platform built for reliability, transparency, and control. We help data teams connect tools like MailChimp to their data warehouse — with full observability into every run, zero maintenance, and none of the opacity of traditional market tools.

What MailChimp data does Erathos sync to PostgreSQL?

Erathos synchronizes contact lists, campaigns, automations, engagement events (opens, clicks, conversions), and email metrics from Mailchimp to PostgreSQL. Segmentation data, tags, and custom fields are also exported.

How often does Erathos synchronize data from MailChimp to PostgreSQL?

You can configure sync frequency from every 5 minutes up to daily, at the table level. Erathos uses incremental synchronization—only new or updated records are processed on each run, keeping the MailChimp pipeline efficient and PostgreSQL costs predictable.

What happens if a MailChimp sync fails?

Erathos automatically detects failures and sends alerts to your email, Slack, or Discord with full context—not just "job failed." Smart retries handle transient errors, and every execution is logged with run time, processed rows, and error context so your team can debug in minutes, not hours.

Is there a free trial period for the MailChimp connector?

Yes. Every Erathos connector includes a 14-day free trial. Connect Mailchimp to PostgreSQL and start syncing immediately—no credit card required.

Data ingestion with control, observability, and scale

Data ingestion with control, observability, and scale