Analyze your MailChimp data in Python

Getting your data from MailChimp to Python can be a pain. Managing pipelines for all your data sources just isn’t sustainable, but your reporting can’t be put on hold while you wait for IT or Engineering to get to your ticket.

With Panoply, you can eliminate that hassle—and all that wasted time. Set up code-free connections to both MailChimp and Python with just a few clicks. Then Panoply will automatically sync your data so it’s ready to analyze when you are.

It’s that simple: Unblock your data with Panoply.

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How it works

Connect to MailChimp without complicated code.

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Automatically sync and store the data you want with table-level control.

See the MailChimp data Panoply collects

Connect to Python and start analyzing in minutes.

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Get started

for free

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Query-ready data with just a few clicks

Seamlessly update all your Python reports and dashboards without lifting a finger. Set it up in minutes, then let Panoply handle the rest.
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Code-free data pipeline
Easily connect MailChimp and all your other data sources with automated integrations that take pipeline management off your to-do list.
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Fuel your analytics
Power BI and analytical tools like Python with fresh data so your whole team can discover insights that drive your business forward.
See all BI tool integrations

Integrate with MailChimp in minutes

Panoply’s easy to use integration systems allow MailChimp customers to store and analyze their e-commerce, email marketing, and advertising data in one central location, without requiring a complete data warehousing infrastructure.

MailChimp is an automated email marketing and newsletter platform, used in the e-commerce industry. MailChimp’s data reporting provides companies with detailed information about their emails, from demographic data to engagement.

The Panoply platform extracts that data directly from MailChimp, integrates it into its cloud based data warehouse without requiring any ETL or ELT processing, and makes it immediately accessible for analysis. It is instantly available to be combined or compared against other data sources and can be analyzed to help you make more effective emails and marketing decisions that improve your ROI.

Learn more:
MailChimp Data Warehousing
MailChimp Business Intelligence

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Birst
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CARTO
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Databricks
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Jupyter
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Julia
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SQL
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Shiny
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Amazon DynamoDB
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Amazon S3
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AppsFlyer
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Bing Ads
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CSV
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Elasticsearch
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Facebook Ads
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Facebook Pages
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Facebook Posts
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Google Ads
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Google Search Console
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JSON
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LinkedIn Ads
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Microsoft Excel
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Microsoft OneDrive
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Microsoft SQL Server
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MongoDB
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MySQL
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NetSuite
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PostgreSQL
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Quickbooks
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Salesforce
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SFTP
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Stripe
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Twitter
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Upload Data
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WooCommerce
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Wordpress
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Xero
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Zendesk

Integrate with Python in minutes

Love the power of Python for analytics and machine learning but need a way to support it alongside other BI tools? Panoply makes it easy to pipe data to multiple analytics tools with 30+ code-free connectors you can set up in minutes.

Along with eliminating API configuration and maintenance, Panoply automatically stores a copy of your data in the cloud, making your queries faster and more stable. Plus, by powering all your BI and analytics tools with the same centralized data you can ensure that key metrics are consistent across the company, no matter who’s doing the reporting.

Learn more:
Documentation

See All Connectors

Other connectors with Python

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Salesforce
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MySQL
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Google Ads
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Google Analytics
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Shopify
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Zendesk
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Google Sheets
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JSON
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Microsoft Excel
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Twitter
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BigQuery
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CSV
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Google Search Console
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Instagram for Business
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LinkedIn Ads
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Stripe
Python +
Xero
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BigCommerce
Python +
Twitter Ads
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WooCommerce
Python +
Asana
Python +
Intercom
Python +
Amazon DynamoDB
Python +
AppsFlyer
Python +
Bing Ads
Python +
Delighted
Python +
Elasticsearch
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Facebook Pages
Python +
Facebook Posts
Python +
Google Cloud Storage
Python +
MailChimp
Python +
Microsoft SQL Server
Python +
Pardot
Python +
Redshift
Python +
Twilio
Python +
Upload Data
Python +
Wordpress
Python +
Google Drive
Python +
Jira
Python +
Klaviyo
Python +
Microsoft OneDrive
Python +
NetSuite
Python +
Quickbooks
Python +
SFTP
Python +
Square
Python +
AdRoll
Python +
AfterShip
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Amazon Ads
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Amazon Aurora PostgreSQL
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Amazon Cloudfront
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Amazon Kinesis Firehose
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Amazon Marketplace
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Amazon Seller
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Apple App Store
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Apple Search Ads
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Autopilot
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Azure Blob Storage
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Braintree Payments
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Branch
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BranchTrack
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Campaign Monitor
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CaptivateIQ
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Chargebee
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Clari
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Close
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Codat
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Contentful
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Crashlytics
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Criteo
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Drip
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Eloqua
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FormKeep
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Freshdesk
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GitHub
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GitLab
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Google Cloud SQL Postgres
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Lever
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Mavenlink
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Maverick Payments
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Maxio
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Optimizely
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Payline
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PayPal
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Pinterest
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Pipedrive
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Rakuten
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Recharge
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Recurly
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Reddit
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Frequently Asked Questions

How do I connect to my data?
To start analyzing your data in , you’ll first create a connection to Panoply. Panoply stores a replica of your data and syncs it so it’s always up-to-date and ready for analysis. You can connect to your data in Panoply via an ODBC connection.
What data can I integrate with ?
Panoply allows you to integrate with multiple data sources including all major CRMs, databases, file systems, ad networks, analytics platforms, and finance tools. All of your data is stored in ready-to-analyze tables that can be joined together with SQL or merged in your BI tools. Integrating data for cross-channel advertising analysis, full-funnel conversion analysis, and CAC vs LTV analysis has never been so easy.
What is Panoply?
Panoply is a secure place to sync, store, and access all your business data. With our data connectors, Panoply transforms scattered data into a single source of truth that’s accessible to your entire team via any BI tool or analytical notebook. Run as many queries as you’d like and add as many users as you need for one transparent price.

Technically speaking, Panoply combines user-friendly ETL (Extract, Transform, Load) data pipelines and data warehouse functionality in one platform. Get the control you need with simple role-based data governance, the security of AWS infrastructure, and SOC-2 and GDPR compliance.