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Connecting to Data · Legacy self-service product

Mailchimp

Analyze email campaigns, audience growth, and engagement metrics

You're viewing documentation for the legacy Scoop self-service product. For the current product, see What Is Scoop.

Connect Mailchimp to Scoop to analyze your email marketing performance, track audience growth, measure campaign engagement, and monitor automation effectiveness.

AI-Assisted Setup

When connecting Mailchimp to Scoop, choose "Guide me with AI" for an intelligent, guided setup experience.

Available Analysis Templates

Template Object Data Mode Best For What You'll Analyze
Campaign Performance (Default) campaigns Snapshot Email effectiveness Opens, clicks, engagement rates
Audience Growth lists Sync Subscriber trends List sizes, unsubscribes
Automation Analytics automations Sync Sequence tracking Automation volumes, status

Example Questions You Can Answer

Campaign Performance:

  • "What's our average open rate this month?"
  • "Which campaigns had the highest click rates?"
  • "How many emails did we send last week?"
  • "What's our campaign engagement trend over time?"
  • "Which subject lines perform best?"

Audience Health:

  • "How many total subscribers do we have?"
  • "What's our unsubscribe rate by list?"
  • "How is our list growing month over month?"
  • "Which audiences have the best engagement?"
  • "How many emails bounced (cleaned)?

Automation:

  • "How many automations are currently active?"
  • "Which automations send the most emails?"
  • "When was each automation started?"
  • "How has automation volume changed over time?"

Need Something Different?

If the templates above don't match your needs, select "Something else" and describe what you want to analyze. For example:

  • "I want to compare open rates across campaigns"
  • "I need to track unsubscribe trends"
  • "I want to analyze automation performance"

Scoop's AI will recommend the right configuration for your specific use case.

Snapshotting for Campaign Analysis

Campaign performance changes over time as recipients open and click emails. Configure your Campaigns extract as a Snapshot dataset to:

  • Track engagement growth after each send
  • Compare performance across send dates
  • Analyze how quickly engagement peaks
  • Monitor delayed opens and clicks

Pro Tip: Enable snapshotting for campaigns to see how engagement evolves over the first 48-72 hours after each send.

Connecting Mailchimp to Scoop

  1. Create a new dataset in Scoop
  2. Select Mailchimp from the application list
  3. Enter your Mailchimp API key
  4. Choose your analysis template or customize
  5. Save and extract data

Getting Your API Key

  1. Log in to your Mailchimp account
  2. Go to Profile > Extras > API Keys
  3. Click Create A Key
  4. Copy the full API key (includes datacenter suffix like -us6)

Important: The API key includes your datacenter suffix (e.g., abcdef123456-us6). Include the entire key including the suffix - Scoop needs it to connect to the right server.

What Data You Get

Campaigns

Email campaigns with performance metrics.

Field Description
Campaign ID Unique identifier (prefixed with MC)
Type regular, plaintext, absplit, rss, variate
Status save, paused, schedule, sending, sent
Emails Sent Number of emails delivered
Send Time When the campaign was sent
Created Date When the campaign was created
Subject Line Email subject line
From Name Sender name
Total Opens Number of email opens
Total Clicks Number of link clicks
Open Rate Percentage who opened
Click Rate Percentage who clicked

Audiences (Lists)

Subscriber lists and their health metrics.

Field Description
List ID Unique identifier (prefixed with MC)
List Name Audience name
Member Count Active subscribers
Unsubscribe Count Total unsubscribes
Cleaned Count Bounced/cleaned emails
Open Rate Average open rate for list
Click Rate Average click rate for list
Created Date When list was created

Automations

Automated email sequences.

Field Description
Automation ID Unique identifier (prefixed with MC)
Status save, paused, sending
Created Date When automation was created
Start Time When automation started
Emails Sent Total emails sent
Target List ID Audience ID
Automation Title Name of the automation

Analysis Examples

Track your email performance:

  • Open and click rates over time
  • Best performing campaigns
  • Send volume trends
  • Engagement by campaign type

Audience Growth

Monitor your subscriber base:

  • List size changes over time
  • Unsubscribe and bounce rates
  • Engagement rates by audience
  • List comparison

Automation Performance

Understand your automations:

  • Active vs paused automations
  • Email volumes by automation
  • Automation start/creation patterns

Best Practices

  • Start with Campaigns: This is your core performance data
  • Enable Snapshotting: Track how engagement evolves after sends
  • Monitor Audiences: List health affects deliverability
  • Track Automations: Understand your automated engagement

Troubleshooting

Connection Issues

  • Verify your API key includes the datacenter suffix (e.g., -us6)
  • Check that the API key is active in your Mailchimp account
  • Ensure your Mailchimp account is in good standing

Missing Data

  • Campaign performance metrics require the campaign to be sent
  • Some metrics require specific Mailchimp plan features
  • Historical data may be limited by your plan

Datacenter

If you see connection errors:

  • Your datacenter is the suffix after the dash in your API key
  • Common datacenters: us1, us2, us6, us7, us12, etc.
  • Make sure you copied the entire API key including the suffix

Rate Limits

Mailchimp allows 10 concurrent connections:

  • Scoop automatically manages connection pooling
  • Large extracts may take longer during high usage
  • Contact support for persistent issues

Updated January 10, 2026