Email Marketing Report Dashboard
Power BI Template for Email Marketing Analytics
Tired of being locked out of your email data? Frustrated with inflexible, basic reports? Maya Insights unlocks your email analytics with a Power BI semantic model that provides instant, actionable insights and gives you full control, custom reports, and a unified view.
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Without Maya
- Manually export data from your email marketing platform(s), requiring multiple reports and downloads.
- Difficult and time-consuming to combine email data with data from other marketing channels.
- Time-consuming data cleaning, merging, and preparation in spreadsheets.
- Building your own data model in Power BI, requiring expertise in email marketing metrics.
- Hours or days to generate meaningful reports and insights.
With Maya
- Automated data extraction directly from your email marketing platform(s) via pre-built integrations.
- Seamlessly integrate email data with data from other marketing channels (paid ads, social media, website analytics) for holistic analysis.
- Pre-built ETL: automatically cleans, normalizes, and structures email data.
- Pre-built semantic model optimized for Power BI and email marketing data.
- Minutes to get actionable insights and optimize your email campaigns.
What you’ll learn from this Email Marketing Dashboard Template
Connect your email marketing data sources through Maya’s Semantic Model to learn:
- How are my email marketing campaigns performing? Track key metrics like open rates, click-through rates, conversions, and more in one place.
- How do my email campaigns contribute to overall marketing performance? Track key email metrics alongside metrics from other channels in one place, understanding the holistic impact of your email campaigns.
- Which channels and campaigns drive the highest ROI? Use our pre-built marketing attribution modeling calculations to understand which channels contribute most to your business goals, with a focus on how email marketing is directly impacting them, and allocate your budget accordingly.
- What are the engagement levels across different audience segments? Segment your audience and understand how different groups interact with your emails.
- Where should we focus our optimization efforts across channels, including email? Identify underperforming areas across channels, and see the interplay of email marketing in your overall strategy using our comparison views.
- How does email engagement impact my cross-channel customer journey? Analyze the entire customer journey, from first contact with an email, to the final conversions on the website, leveraging data from all sources.
How Maya’s Semantic Model Works
Simple 3-Step Process to transform scattered email marketing data into unified marketing insights
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#1
Connect Your Data Destination and Email Marketing Platform
Link your Google BigQuery data warehouse (or chosen data destination) and your email marketing services.
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#2
Email Data Integration & Marketing Data Unification
Our semantic model automatically connects your email data with all marketing channels for comprehensive analysis.
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#3
Custom Email Analytics
Build exactly the reports you need without platform restrictions or data silos. Analyze campaign performance, audience engagement, and overall email marketing effectiveness.
Customize Your Email Marketing Analysis with Maya
Maya’s Power BI Semantic Model helps you break down data silos and uncover hidden opportunities among email marketing, with GA4, Google Ads, YouTube, or your CRM data.
The semantic model puts you in control of your marketing data. Create custom cross-channel reports without complex data preparation or platform limitations.
Explore all of Maya’s functionalities:
- Unify all marketing data sources
- Preserve complete email campaign data history.
- Create custom cross-channel reports. Correlate email campaign performance with paid advertising spend to see how email influences conversions attributed to paid channels.
- Group campaigns based on keywords, themes, or objectives (using
CCx - {Campaign Cluster x Name}) for more meaningful analysis. - If you use transactional emails, analyze their performance separately using the
Is Campaign Transactionaldimension. - Share insights across teams.
FAQs
What email marketing metrics are included?
The Maya Insights semantic model includes a comprehensive set of metrics from your email marketing platform, all readily available for analysis within Power BI. These are categorized for clarity:
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Key Performance Indicators (KPIs):
Emails Sent #: Count of total marketing emails sent.Emails Delivered #: Count of marketing emails that successfully reached recipients’ inboxes.Email Bounces #: Count of sent marketing emails that bounced.Email Bounce Rate %: Percentage of sent emails that bounced.Email Opens #: Count of marketing email opens (unique opens by default).Email Open Rate %: Percentage of delivered emails that were opened (unique opens by default).Email Link Clicks #: Count of link clicks in marketing emails (unique clicks by default).Email Click Through Rate %: Percentage of opens leading to a link click (unique opens and clicks by default).Email Forwards #: Count of forwards of marketing emails (unique forwards by default).Email Forwarding Rate %: Percentage of email opens that resulted in a forward (unique forwards and opens by default).Email Unsubscribers #: Count of recipients who unsubscribed.Email Unsubscribe Rate %: Percentage of opens that led to an unsubscribe (unique opens by default).Email Complaints #: Count of complaints (spam reports).Email Complaints Rate %: Percentage of opens resulting in complaints (unique opens by default).Email Recipients #: Count of targeted emails.
Campaign-Level Metrics: * Distinct Campaigns Delivered #: Count of different email marketing campaigns. * Distinct Marketing Emails Delivered # Count of unique emails delivered.
Dimensions:
You can analyze these metrics using a rich set of dimensions, providing granular insights:
- Time:
Year,Quarter,Month,Week,Date - Account:
Account Service,Account Name - Campaign:
Campaign Name,Campaign Subject,Campaign Status,Is Campaign Transactional - Mailing List:
Mailing Lists Sent To - Custom Clusters:
CCx - {Campaign Cluster x Name}(user-defined groupings) z-Email Metrics Type: Toggle to switch email metrics (opens, clicks, forwards) between unique and total counts.
Which email platforms can I connect to Maya?
We are adding new email marketing tool integrations as we speak. For the most recent list please check our email platform integrations.
Do I need to know DAX to create custom metrics?
No, you do not need to be a DAX expert to create custom metrics with Maya Insights. Our platform is designed to be user-friendly and accessible to non-technical users. While DAX is the formula language of Power BI, Maya’s semantic model structures your email data for easy analysis without requiring you to write complex DAX code for basic calculations. You can build custom reports and dashboards with drag and drop, utilizing our pre-build metrics and dimensions. If, however, you wish to perform more complex calculations, DAX is available for advanced users. You can also have a look into our Power BI Guides
How often is email marketing data updated?
Maya automatically refreshes your email marketing data daily. You can also set up custom refresh schedules based on your needs.
Can I combine email data with other marketing channels?
Yes! This is where Maya Insights truly shines. Our platform is designed to unify all your marketing data, including email, alongside data from Google Ads, Google Analytics, social media, CRM systems, and more. By combining email data with other channel data in Power BI, you can gain a complete understanding of your customer journey, attribute conversions accurately, and optimize your entire marketing strategy, and see how your email campaigns work together with all the other channels.
Is historical data included?
Absolutely. Maya Insights automatically preserves your complete email marketing data history. When you connect your email service, we import all available historical data, and we continue to sync daily. You will have access to all your past campaign performance, which enables you to track trends, compare performance, and make more informed decisions, without the fear of losing data if you change providers.
What is an Email Marketing Dashboard?
An email marketing dashboard consolidates all your campaign metrics in one centralized view. It helps you track engagement rates, monitor campaign performance, and understand subscriber behavior patterns across your email marketing efforts.
With Maya, you get a pre-built semantic model that automatically organizes these metrics in Power BI, giving you instant insights into campaign performance across all your email platforms.
What Should Be Included in an Email Marketing Dashboard?
A comprehensive email dashboard should track key metrics like open rates, click-through rates, bounce rates, deliverability, and conversion rates. It should help you understand subscriber engagement, optimal send times, and campaign effectiveness.
Maya’s semantic model includes all these essential metrics plus:
- Campaign performance tracking
- Subscriber engagement patterns
- Deliverability monitoring
- List growth analytics
- Platform-specific metrics
- Cross-channel attribution
How do I track email campaign performance?
Tracking your email campaign performance is made easy with Maya Insights. You can analyze metrics like open rates, click-through rates, and conversions in one place. By combining your email marketing data with other data sources like Google Analytics (GA4), you can understand how email campaigns contribute to your SEO goals and website traffic. You can uncover new opportunities by attributing conversions and leads to specific email campaigns, and see how each campaign contributes to your overall marketing strategy. Use our pre-built dashboards or create custom views to track your data, and leverage powerful and actionable insights.
How do I create custom email reports?
Maya Insights empowers you to build custom reports in Power BI without any coding or complex data manipulation. Our semantic model structures your email data in a way that is easy to understand, and to use. You can simply drag-and-drop measures and dimensions to create the exact reports you need, tailoring the analysis to your specific requirements. You have full control over your data and how it’s visualized. You are not locked to standard views.
What’s the performance of my automated email campaigns?
Maya Insights allows you to analyze the performance of your automated email campaigns just like any other campaign. You can track key metrics such as open rates, click-through rates, conversions, and revenue generated by automated emails. Furthermore, you can combine this data with other channel data to understand the broader impact of automated emails on your marketing strategy and revenue. Identify and fix any automation gaps using this holistic view.
How do I see insights about my email campaigns?
Maya Insights consolidates all your email campaign data into one unified view within Power BI. Using our pre-built dashboards and widgets, you can analyze your campaigns quickly. Track key metrics, identify top-performing campaigns, visualize trends over time, and analyze audience engagement patterns in an interactive and intuitive manner, without relying on the email platform’s limited UI.