Supermetrics for Power BI
Connect Mailchimp to Power BI — Email Intelligence Dashboards
Analyze Mailchimp email campaigns in Power BI with deliverability monitoring, A/B test comparison, and subscriber engagement scoring. DAX measures calculate click-to-open rates, list health indicators, and revenue per email. Merge email engagement with e-commerce data for true campaign ROI.
Why Connect Mailchimp to Power BI?
Build live Mailchimp dashboards in Power BI that update automatically and share with your team.
- Track bounce rates, spam complaints, and unsubscribe trends over time with conditional formatting that flags lists exceeding healthy thresholds — catch deliverability issues before they tank your sender reputation.
- Compare subject line and content A/B test variants side by side in matrix tables. DAX measures calculate statistical significance indicators to identify true winners vs. random variation.
- Join Mailchimp campaign data with Shopify or WooCommerce order data in Power BI. Build DAX measures for revenue per email sent, revenue per click, and campaign-level ROI.
How to Connect Mailchimp to Power BI
Three steps. Under two minutes. Zero code.
- 1
Open Power BI Desktop and Get Data
Launch Power BI Desktop, click "Get Data," and search for the Supermetrics connector to install it.
- 2
Authorize your data source
Sign in with your Supermetrics account and authorize your data source. Your credentials are encrypted and securely stored.
- 3
Build Your Dashboard
Select your metrics and dimensions, load the data into your model, and start building visuals, DAX measures, and interactive reports.
Dashboard Templates for Mailchimp in Power BI
Pre-built dashboards to get you started. Customize layouts, filters, and visualizations to match your reporting needs.
Email Deliverability & List Health
Trend lines for bounce rate, complaint rate, and unsubscribe rate with threshold reference lines. List-level KPI cards with conditional formatting flagging unhealthy segments.
Campaign Revenue Attribution Report
Revenue per email and click-to-open rate by campaign with drill-through to individual send performance. Combines Mailchimp engagement with e-commerce conversion data.
Reporting Scenarios for Mailchimp in Power BI
Common reporting use cases that teams build with Mailchimp data in Power BI.
Clustered bar chart
Subject Line A/B Test Comparison
Grouped bar chart comparing open rate and click rate across A/B test variants, with sample size annotations and DAX-calculated confidence indicators.
Matrix table
Send Time Heatmap by Day & Hour
Matrix table with conditional formatting showing open rates by day of week and hour of send, revealing optimal send windows for your audience.
What Mailchimp Data Can You Pull into Power BI?
Supermetrics gives Power BI access to your full Mailchimp reporting data — metrics and dimensions you already know from the Mailchimp interface.
Key Metrics
- Emails sent
- Open rate
- Click rate
- Bounce rate
- Unsubscribe rate
- Unique opens
- Unique clicks
- Total opens
- Revenue
- Orders
- Spam complaints
- Forwards
- Delivery rate
Key Dimensions
- Campaign name
- Campaign type
- Subject line
- Send date
- List name
- Automation name
- Email client
Resources & Guides
14 Power BI marketing dashboard examples
Power BI for marketing: setup guide
Data transformation in Power BI
Browse all Power BI templates
Feld Entertainment: enterprise dashboards
Why Supermetrics for Power BI?
The trusted marketing data platform since 2009. 200,000+ companies use Supermetrics — 15% of global ad spend flows through our connectors.
Built for Power BI
Purpose-built Power BI connector with setup in minutes. Your marketing team can build dashboards independently — no data engineering resources required.
170+ Data Sources
Connect Mailchimp alongside 170+ other platforms through a single integration. All your marketing data in one place.
Data Blending
Combine Mailchimp with other data sources in Power BI. Blend on shared keys like date, campaign name, or UTM parameters for cross-channel visibility.
Enterprise-Grade Security
SOC 2 Type II certified. GDPR and CCPA compliant. OAuth authentication with encrypted credentials. Regional data hosting available.
Always Current
Your Mailchimp data refreshes automatically in Power BI. No manual exports, no stale numbers — open your report and the data is current.
Complete Data Access
Pull every contact, deal, campaign, and custom property from Mailchimp. No field restrictions, no record limits — your complete dataset, ready for analysis.
Frequently Asked Questions
- Install the Supermetrics connector from the Power BI Desktop "Get Data" menu, sign in with your Supermetrics account, and authorize Mailchimp. Your data appears as a Power Query table — from there you load it into your model, build relationships, and start creating visuals. No custom connector development needed.
- Yes. Publish your report to the Power BI Service and configure a scheduled refresh through your dataset settings. Supermetrics refreshes your Mailchimp data on the schedule you set — hourly, daily, or whatever cadence fits your reporting rhythm. Your dashboards stay current without manual intervention.
- Absolutely. Power BI's data model is built for blending. Use Supermetrics to pull Mailchimp alongside data from 170+ other marketing platforms — Google Ads, LinkedIn Ads, GA4, and more — then join them through shared dimensions like date, campaign name, or UTM parameters in Power Query or the data model.
- All standard Mailchimp reporting fields are available, including Emails sent, Open rate, Click rate, Bounce rate, Unsubscribe rate, and more. You get the same data as the Mailchimp native reporting UI, loaded into Power BI where you can create DAX measures, build relationships, and apply row-level security.
- Basic Power BI Desktop knowledge is enough. Supermetrics handles the API connection, authentication, and data formatting. You pick your metrics, choose a date range, and load — the data arrives as clean tables ready for modeling. No API code, no ETL scripting.
- Pull unique opens and unique clicks via Supermetrics. Create a DAX measure: CTOR = DIVIDE(SUM(UniqueClicks), SUM(UniqueOpens)). This gives a truer engagement signal than standard click rate since it only measures clicks among people who actually opened.
- Yes. Supermetrics pulls automation-level metrics alongside campaign data. Use the automation name dimension to filter and compare flow performance — welcome series, cart abandonment, and re-engagement sequences — in dedicated dashboard pages.
Also Connect to Power BI
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