TL;DR Short answer: most tools can pull Mailchimp campaigns and audiences. The real differences are whether they sync per-recipient email activity, how they handle Mailchimp's connection limits on large backfills, and whether the data lands in a warehouse or a spreadsheet. Eight options:
Airbyte Fivetran Stitch Hevo Data Supermetrics Funnel Coupler.io Zapier The Mailchimp constraint: open rates are inflated by Apple Mail Privacy Protection, so treat opens as a soft signal and build reporting on clicks, conversions and revenue joined from other systems. Mailchimp ETL tools move campaigns, audiences, list members, email activity and reports out of Mailchimp and into a warehouse or spreadsheet. There they can be joined with ecommerce, CRM and web analytics data to measure what email actually contributes, not just what Mailchimp's own dashboards show.
Why move Mailchimp data into a warehouse? Mailchimp reports campaign-level performance well. The questions marketing and revenue teams ask next need more: which subscribers became customers, how email engagement relates to lifetime value, which segments are fatiguing, and how email compares with paid and organic channels. Answering them means joining Mailchimp audiences and per-recipient activity with orders, CRM records and web sessions in one place.
How do the Mailchimp ETL tools compare? Tool Best destination Per-recipient activity Deployment Pricing model Airbyte Warehouse, lake or database Yes, email activity stream Cloud, self-hosted, Enterprise Flex Free self-hosted; Cloud volume-based; Pro and Flex capacity-based Fivetran Warehouse Yes Cloud, hybrid Monthly active rows Stitch Warehouse Yes Cloud Rows per month Hevo Data Warehouse Yes Cloud Events Supermetrics Sheets, Looker Studio, warehouses Campaign-level reports Cloud Subscription by destination and sources Funnel Funnel, BI tools, warehouses Campaign-level reports Cloud Subscription by data volume Coupler.io Sheets, Excel, BigQuery Depends on export Cloud Subscription by imports Zapier Other apps New events only Cloud Tasks per month
Which Mailchimp ETL tools should you consider? Eight options, from warehouse ELT to marketing reporting and automation:
1. Airbyte Airbyte is an open-source ELT platform with 700+ connectors. Its Mailchimp source syncs 12 streams, including campaigns, reports, lists, list members, segments and segment members, automations, unsubscribes and per-recipient email activity, with incremental sync and an optional start date. It routes to your Mailchimp data center automatically.
You authenticate with OAuth, recommended on Airbyte Cloud, or with an API key. Airbyte fits when Mailchimp is one of many marketing and revenue sources that need to land in the same warehouse, self-hosted, on Airbyte Cloud or as Enterprise Flex.
Pros Cons Per-recipient email activity, not just campaign totals No incremental deletes for campaigns or email activity Lists, members and segments for audience analysis Large email activity backfills take time Mailchimp next to ecommerce, CRM and 700+ other sources Transformation happens in the warehouse
2. Fivetran Fivetran is a fully managed ELT service with a Mailchimp connector that loads campaigns, lists, members and activity into a standard warehouse schema, with packaged dbt models for email reporting. Fivetran completed its merger with dbt Labs in June 2026.
Pros Cons Fully managed, with a standard schema Monthly active row pricing grows with audience size Packaged dbt models for email metrics Connector behaviour cannot be modified Handles schema changes automatically Warehouse-only destinations
3. Stitch Stitch is a simple, hosted extract-and-load service built on the Singer specification, with a Mailchimp integration among its 140+ connectors. Qlik acquired Stitch with Talend in 2023 and now publishes a migration path to Qlik Talend Cloud, which is worth weighing before starting a new pipeline on it.
Pros Cons Quick to set up for a single account No transformation layer Published, tier-based pricing Product line being consolidated into Qlik Talend Cloud Familiar to teams already using Singer taps Narrower catalogue than larger platforms
4. Hevo Data Hevo Data is a no-code managed pipeline platform with 150+ connectors, including Mailchimp. It can transform data before it loads, using Python or a drag-and-drop editor, and prices on events, with a free tier for small volumes.
Pros Cons No-code setup for marketing ops teams Event-based pricing grows with email activity Transformation before load Cloud-only, with no self-hosted option Free tier for small lists Smaller catalogue than Airbyte or Fivetran
5. Supermetrics Supermetrics is a marketing data connector that pulls Mailchimp campaign and audience reports into Google Sheets, Looker Studio, Excel and warehouses such as BigQuery. It suits marketers who report on email next to paid social and search in the same dashboards, without engineering help.
Pros Cons Built for marketing reporting Campaign-level reports rather than raw event data Sheets and Looker Studio destinations Pricing scales with destinations and sources Email next to ad platforms in one place Less suited to complex warehouse modelling
6. Funnel Funnel collects data from marketing platforms, including Mailchimp, normalises it into a common structure, and sends it to BI tools and warehouses. It is strongest for agencies and marketing teams that need consistent cross-channel reporting with little setup.
Pros Cons Normalises email with ad and analytics data Commercial pricing aimed at larger marketing teams Marketing-friendly interface Campaign-level rather than raw event data Sends to BI tools and warehouses Less flexible than general-purpose ELT
7. Coupler.io Coupler.io exports Mailchimp data into Google Sheets, Excel, Looker Studio and BigQuery on a schedule. It suits small teams that build email reports in spreadsheets and want them refreshed automatically, without a full data stack.
Pros Cons Spreadsheet and Looker Studio destinations Less suited to large audiences and event data No-code, scheduled refreshes Pricing tied to import volume and frequency Quick to set up Limited transformation beyond basic filters
8. Zapier Zapier connects Mailchimp to 8,000+ apps through triggers such as new subscribers, unsubscribes and campaign events. It is ideal for operational flows, like adding new customers to an audience or sending unsubscribes back to a CRM, but it does not backfill history or model data for analytics.
Pros Cons Fastest no-code setup for simple flows No historical backfill Real-time triggers in both directions Task-based pricing grows with list activity Connects Mailchimp to 8,000+ apps Not built for analytics-grade pipelines
What should you check before syncing Mailchimp? Most Mailchimp reporting problems come from activity volume, privacy changes and audience structure. Check these first:
Authentication: use OAuth or an API key, never your Mailchimp password. API keys include a data-center suffix such as us10, which tells the tool which Mailchimp server to call.Email activity volume: per-recipient activity grows with every send, so the first backfill can be large. Mailchimp limits how many connections can run at once, so set a sensible start date for the initial sync.Open rate inflation: Apple Mail Privacy Protection preloads images, which records opens that never happened. Report on clicks, conversions and downstream revenue rather than opens alone.Deletes and archived contacts: deleted campaigns and email activity are not tracked incrementally, and archived contacts can disappear from member lists. Re-sync periodically if exact counts matter.Audiences, tags and merge fields: most accounts rely on tags, groups and custom merge fields. Make sure they arrive as columns, and that you use one audience per brand rather than duplicating contacts across lists.Transactional email: Mailchimp Transactional, formerly Mandrill, has its own API and is not covered by Mailchimp marketing connectors. Plan a separate source if you send transactional email.Mailchimp's Marketing API exposes the main objects you need for email analytics:
Campaigns and reports: sends, subject lines, audiences, opens, clicks, bounces and unsubscribes per campaign. Email activity: per-recipient opens, clicks and bounces for each campaign, the basis of engagement scoring. Audiences and members: contacts with status, merge fields, tags, location and signup source. Segments and interests: saved segments, interest groups and their members, used for targeting analysis. Automations: customer journeys and automated email performance. Unsubscribes: who left, from which campaign, and why, for list health reporting. How do you start pulling data from Mailchimp? If you decide to test Airbyte, setting up a Mailchimp pipeline takes three steps.
Step 1: Set up Mailchimp as a source In Airbyte, open Sources, choose New source and select Mailchimp . On Airbyte Cloud, authenticate with OAuth; on Airbyte Core, create an API key in Mailchimp under Profile, then Extras, then API keys, and paste it in. Set a start date to control how much email activity history is backfilled.
Step 2: Set up a destination Pick where your Mailchimp data should land: a warehouse such as BigQuery, Snowflake or Databricks, a database, or another Airbyte destination.
Step 3: Configure the connection Select campaigns, reports, lists, list members, email activity and unsubscribes, use incremental sync, and schedule runs daily or hourly depending on how often you send. The process is the same whether you deploy Airbyte Open Source or start with Airbyte Cloud .
Which Mailchimp ETL tool should you choose? For analytics that join email with orders, CRM and web data, use a warehouse tool: Airbyte for per-recipient activity and control, Fivetran for a managed pipeline with packaged models, or Hevo for a no-code setup. Stitch still works for simple setups, with its future under Qlik in mind. Marketers reporting across channels in Sheets or Looker Studio will move fastest with Supermetrics or Funnel, small teams with Coupler.io, and Zapier suits operational automations.
For a wider view of the market, see our guide to the top data integration tools .
Sync Mailchimp to your warehouse with Airbyte Replicate Mailchimp campaigns, audiences, segments and per-recipient email activity incrementally, next to your ecommerce, CRM and 700+ other sources, self-hosted, on Airbyte Cloud or with Enterprise Flex.
Try Airbyte Cloud free for 14 days or talk to our team .
Frequently Asked Questions (FAQs) 1. How do you export Mailchimp data to BigQuery or Snowflake? Connect Mailchimp to an ELT tool such as Airbyte, Fivetran or Hevo, choose BigQuery or Snowflake as the destination, and run incremental syncs. Include the email activity stream if you need per-recipient engagement, not just campaign totals.
2. Can you get per-subscriber open and click data from Mailchimp? Yes. Mailchimp's API exposes email activity for each campaign at the recipient level, and connectors such as Airbyte sync it as a separate stream you can join to list members and other data.
3. Why are Mailchimp open rates unreliable? Apple Mail Privacy Protection preloads email images, which Mailchimp records as opens even if the email was never read. Clicks, conversions and revenue are more reliable measures of engagement.
4. Do Mailchimp connectors include Mandrill transactional email? No. Mailchimp Transactional, formerly Mandrill, uses a separate API, so marketing connectors do not cover it. Use a dedicated source or custom code if you need transactional email data.
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