Mailchimp
Analyze email campaigns, audience growth, and engagement metrics
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
- Create a new dataset in Scoop
- Select Mailchimp from the application list
- Enter your Mailchimp API key
- Choose your analysis template or customize
- Save and extract data
Getting Your API Key
- Log in to your Mailchimp account
- Go to Profile > Extras > API Keys
- Click Create A Key
- 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
Email Engagement Trends
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 4 days ago