## Why You Should Connect Mailchimp To Your Data Warehouse Today

Connecting [Mailchimp to Snowflake](https://portable.io/connectors/mailchimp/snowflake), [Mailchimp to Google BigQuery](https://portable.io/connectors/mailchimp/bigquery), [Mailchimp to Amazon Redshift](https://portable.io/connectors/mailchimp/redshift), or [Mailchimp to PostgreSQL](https://portable.io/connectors/mailchimp/postgresql) allows your analytics team to turn data from your integrated marketing platform into strategic insights quickly.

## What Data Can You Extract From the Mailchimp API?

The [Mailchimp API Documentation](https://mailchimp.com/developer/marketing/api/) exposes data that can be helpful for downstream analytics. Here are a few of the available entities.
- Lists
- Members
- Campaigns
- Automations
- Automation Emails
- Landing Pages
- Etc.

Do you want to see which endpoints Portable already supports? Feel free to [create an account](https://app.portable.io/login) and start replicating data (no credit card required)!

Let's now dig into the use cases for a [Mailchimp ETL integration](https://portable.io/connectors/mailchimp).

## What Dashboards Can You Build With Data From Mailchimp?

**Mailchimp is an integrated marketing platform** used for audience management, automation, insights, and analytics. You can connect the Mailchimp API to your data warehouse with no code using Portable. From there, you can start building dashboards using SQL and your data transformation tool of choice and then visualize the data in your visualization tool (Tableau, Microsoft Power BI, Looker, Retool, etc.). Here are three easy ways to get started analyzing your Mailchimp data:
1. **Customer Lifecycle Summary** - The best way to improve the client experience is to understand the touchpoints where your marketing team engages with those customers. You can create a summary of the customer lifecycle based on the campaigns that are sent to various lists through Mailchimp.
2. **Contact Summary View** - Create a dashboard with a filter at the top (to select a specific contact). From there, break out all of the lists and automations that the customer is included in. It's the beginning of a customer 360 view and can involve data from other data sources as well.
3. **Audience Insights** - Offer users the ability to select a specific audience. Once an audience is selected, you can break down the audience based on member details. For instance, you can create a geography breakdown, a summary by sign-up date, and slice the audience by custom tags you have added to members.

Beyond the dashboards above, Portable's ready-to-query schemas can unlock infinite opportunities to power analytics, automate workflows, and develop products by replicating data from your SaaS applications into your data warehouse or data lake.

## What Methods Can You Use To Connect Mailchimp To Your Data Warehouse?

There are two methods of data integration from Mailchimp to Snowflake, BigQuery, Redshift, or PostgreSQL:
1. Script your data pipeline from Mailchimp into the warehouse.
2. Leverage Portable's [prebuilt no-code ELT connectors](https://portable.io/connectors).

Are you considering writing code yourself? Instead of reading API docs, parsing JSON, and handling replication, you can get started faster with a cloud-hosted ETL tool to extract information from the data sources you need.

Let's walk through the setup process, how much it costs and how long it will take.

## Step-By-Step Instructions To Sync Data From Mailchimp To Your Cloud Data Warehouse With Portable

1. Create an account with [Portable](https://app.portable.io/login)
2. Add a source - You can search for Mailchimp or scroll to find it
3. Authenticate with Mailchimp using the instructions in the Portable console
4. Add a warehouse (Snowflake, BigQuery, Redshift, or PostgreSQL) and authenticate
5. Set up a flow connecting Mailchimp to your analytics environment
6. Run your flow to replicate data from Mailchimp to your warehouse

## How Much Does It Cost To Integrate Mailchimp With Your Analytics Environment?

Portable keeps [pricing](https://portable.io/pricing) extremely simple.

Manually triggered data syncs are free. You can start moving data quickly (no credit card required) without writing a line of code.

With predictable, fixed-cost pricing per data flow, you know exactly how much your Mailchimp integration will cost with Portable.

## How Long Does It Take To Start Analyzing Your Mailchimp Data?

It's easy to start syncing data. Sign up for Portable, authenticate with Mailchimp, add your data warehouse credentials, and trigger your first sync.

Once you’ve gathered your credentials, the setup process takes less than 5 minutes.

## What Other Tools Are Similar To Mailchimp?

As you explore alternatives to Mailchimp, don't forget that Portable offers no-code integrations to [HubSpot](https://portable.io/connectors/hubspot-crm), [Sendinblue](https://portable.io/connectors/sendinblue), and [Klaviyo](https://portable.io/connectors/klaviyo).

If you have another tool in mind, you can [request an integration](https://portable.io/request). The Portable team can turn around new connectors in under 24 hours!

ETL Mailchimp to your data warehouse for analytics

Select your warehouse to see the benefits of connecting Mailchimp for analytics

Stop waiting for your data.Start using Portable today.