Key Performance Indicator (KPI)
aliases: ["KPI"]
related_terms: ["open-rate", "click-through-rate-ctr", "conversion-rate"]
KPIs are the measurable metrics that track progress toward goals, such as open rate, CTR, or revenue per send.
Definition & Examples
What are Key Performance Indicators?
Key performance indicators (KPIs) are quantifiable metrics used to evaluate the progress toward specific business goals. By tracking KPIs, organizations can gauge how well their activities align with broader objectives and identify areas for improvement.
KPIs exist at different levels: high-level KPIs may track overall company performance (such as annual revenue growth or churn rate), while low-level KPIs monitor the effectiveness of teams or campaigns (like email open rates, click-through rates, conversion rates, or customer lifetime value).
Why KPIs matter for email marketing
Performance measurement: Quantify the success of email campaigns against specific objectives
Data-driven decisions: Make informed optimizations based on concrete metrics
Goal alignment: Ensure email efforts support broader business objectives
Resource allocation: Focus time and budget on highest-impact activities
Continuous improvement: Track progress over time and identify optimization opportunities
Essential email marketing KPIs
Engagement KPIs
Definition: Percentage of delivered emails that are opened
Calculation: (Emails Opened / Emails Delivered) × 100
Industry average: 15-25% depending on industry
Use case: Measure subject line and sender name effectiveness
Definition: Percentage of delivered emails that receive at least one click
Calculation: (Unique Clicks / Emails Delivered) × 100
Industry average: 2-5% across industries
Use case: Evaluate content relevance and CTA effectiveness
Click-to-Open Rate (CTOR)
Definition: Percentage of opened emails that receive clicks
Calculation: (Unique Clicks / Unique Opens) × 100
Industry average: 10-15%
Use case: Assess content quality among engaged subscribers
Deliverability KPIs
Delivery Rate
Definition: Percentage of emails successfully delivered to inboxes
Calculation: (Emails Delivered / Emails Sent) × 100
Target: 95%+ for healthy lists
Use case: Monitor sender reputation and list quality
Definition: Percentage of emails that couldn't be delivered
Calculation: (Bounced Emails / Emails Sent) × 100
Target: Less than 2% for good deliverability
Use case: Identify list hygiene needs
Spam Complaint Rate
Definition: Percentage of delivered emails marked as spam
Calculation: (Spam Complaints / Emails Delivered) × 100
Target: Less than 0.1%
Use case: Monitor content relevance and list consent quality
Business Impact KPIs
Definition: Percentage of email recipients who complete desired action
Calculation: (Conversions / Emails Delivered) × 100
Varies by: Campaign type and conversion goal
Use case: Measure campaign ROI and business impact
Revenue Per Email (RPE)
Definition: Average revenue generated per email sent
Calculation: Total Revenue / Emails Sent
Use case: Calculate direct financial impact of email campaigns
Email ROI
Definition: Return on investment from email marketing efforts
Calculation: (Revenue - Costs) / Costs × 100
Industry average: 3600% (36:1 return)
Use case: Justify email marketing budget allocation
Customer Lifetime Value (CLV) from Email
Definition: Total revenue generated from email subscribers over time
Use case: Understand long-term value of email acquisition
List Health KPIs
List Growth Rate
Definition: Rate at which your email list is growing
Calculation: (New Subscribers - Unsubscribes) / Total Subscribers × 100
Use case: Track sustainable list building efforts
Unsubscribe Rate
Definition: Percentage of delivered emails resulting in unsubscribes
Calculation: (Unsubscribes / Emails Delivered) × 100
Target: Less than 0.5%
Use case: Monitor content relevance and sending frequency
Email Sharing/Forward Rate
Definition: Percentage of recipients who share or forward emails
Calculation: (Shares/Forwards / Emails Delivered) × 100
Use case: Measure content value and viral potential
KPI frameworks for email marketing
SMART KPI criteria
Effective KPIs follow the SMART framework:
Specific: Clearly defined metric with precise measurement
Example: "Increase email open rate for newsletter campaigns"
Measurable: Quantifiable with specific numbers
Example: "Achieve 25% open rate (up from current 20%)"
Achievable: Realistic given resources and constraints
Example: Based on industry benchmarks and current performance
Relevant: Aligned with business objectives
Example: Open rate improvement supports customer engagement goals
Time-bound: Clear deadline for achievement
Example: "Achieve 25% open rate by end of Q2"
Funnel-based KPI mapping
Top of funnel (Awareness)
Email deliverability rate
Open rate
List growth rate
Brand mention tracking
Middle of funnel (Consideration)
Click-through rate
Email sharing rate
Time spent reading emails
Content engagement metrics
Bottom of funnel (Conversion)
Conversion rate
Revenue per email
Customer acquisition cost
Purchase frequency from email
Campaign-specific KPIs
Welcome series KPIs
Welcome email open rates
Series completion rates
Time to first purchase
Engagement progression through sequence
Newsletter KPIs
Consistent open rate trends
Content section click rates
Subscriber retention over time
Content preference insights
Promotional campaign KPIs
Conversion rate
Revenue attribution
Average order value from email
Discount code redemption rates
Transactional email KPIs
Delivery success rate
Customer satisfaction scores
Cross-sell/upsell conversion rates
Support ticket reduction
Setting KPI benchmarks and targets
Industry benchmarking
Research industry-specific performance standards:
E-commerce: Higher conversion focus, seasonal variations
SaaS: Engagement and retention emphasis, feature adoption tracking
Media/Publishing: Content engagement, subscription conversions
Non-profit: Donation conversion, volunteer engagement
Historical baseline establishment
Analyze 6-12 months of historical data
Identify seasonal patterns and trends
Account for list quality and audience changes
Document external factors affecting performance
Realistic target setting
Set incremental improvement goals (10-20% improvements)
Consider resource constraints and competitive landscape
Plan for testing and optimization cycles
Build in buffer for external factors
KPI tracking and reporting
Dashboard design principles
Executive dashboards:
High-level metrics aligned with business goals
Trend visualization over time
Comparison to targets and benchmarks
Key insights and action items
Campaign manager dashboards:
Detailed performance by campaign type
Segmentation and A/B testing results
Optimization recommendations
Operational metrics (list health, deliverability)
Analyst dashboards:
Granular data for deep analysis
Statistical significance testing
Advanced segmentation views
Attribution modeling results
Reporting cadence and formats
Daily monitoring:
Deliverability metrics
Campaign launch performance
Critical issues or anomalies
Weekly reports:
Campaign performance summary
Key metric trends
Optimization opportunities
List health indicators
Monthly analysis:
Comprehensive performance review
Goal progress assessment
Strategic recommendations
Competitive benchmarking
Quarterly business reviews:
Strategic impact measurement
ROI analysis and budget planning
Goal setting for next quarter
Resource allocation recommendations
Common KPI mistakes and solutions
Vanity metrics focus
Problem: Tracking metrics that look good but don't drive business results
Solutions:
Prioritize metrics tied to revenue and business objectives
Validate engagement metrics with conversion data
Focus on actionable metrics that inform optimization
Regular audit of KPI relevance to business goals
KPI overload
Problem: Tracking too many metrics without clear priorities
Solutions:
Limit to 5-7 primary KPIs per campaign or program
Create hierarchy of metrics (primary, secondary, diagnostic)
Align KPI selection with specific campaign goals
Regular review and pruning of tracked metrics
Lack of context
Problem: Viewing KPIs in isolation without proper benchmarking
Solutions:
Always compare against historical performance
Include industry benchmarks for context
Segment performance by audience characteristics
Account for external factors and seasonality
Short-term focus
Problem: Optimizing for immediate results at expense of long-term performance
Solutions:
Balance leading and lagging indicators
Track customer lifetime value alongside acquisition metrics
Monitor list health and subscriber satisfaction
Include retention and engagement trend analysis
Advanced KPI strategies
Predictive KPI modeling
Use historical data to predict future performance:
Email performance forecasting based on seasonal trends
Churn prediction based on engagement patterns
Revenue forecasting from email performance indicators
List growth projection modeling
Cross-channel KPI integration
Connect email KPIs with other marketing channels:
Multi-touch attribution modeling
Customer journey analysis across channels
Unified customer lifetime value calculation
Cross-channel campaign impact measurement
Personalization KPIs
Measure the impact of personalized email campaigns:
Personalization lift over generic campaigns
Dynamic content performance by segment
Behavioral trigger effectiveness
Individual subscriber engagement scoring
Tools and technology for KPI tracking
Native email platform analytics
Most email service providers offer comprehensive KPI tracking:
Loops: Built-in analytics with customizable dashboards
Mailchimp: Detailed reporting with comparative analysis
Klaviyo: Advanced segmentation and attribution tracking
ConvertKit: Simple KPI tracking with automation metrics
Advanced analytics platforms
Google Analytics: Website conversion tracking from email
Mixpanel: Event-based analytics for detailed user behavior
Amplitude: Product analytics for email-driven feature adoption
Tableau: Advanced data visualization and dashboard creation
Business intelligence tools
Looker: Centralized data platform for unified KPI tracking
Power BI: Microsoft's business intelligence and reporting platform
Sisense: AI-powered analytics for complex data relationships
DataStudio: Free Google tool for custom dashboard creation
Future of email marketing KPIs
Emerging metrics
Privacy-focused measurements:
Engagement quality over quantity metrics
First-party data activation success
Consent and preference management effectiveness
Brand sentiment and trust indicators
AI-powered insights:
Predictive engagement scoring
Automated anomaly detection
Dynamic benchmarking based on peer performance
Intelligent KPI recommendation engines
Customer experience metrics:
Email experience scores
Cross-device engagement consistency
Accessibility and inclusivity measurements
Sustainable and ethical marketing indicators
Technology integration
Machine learning: Automated KPI optimization and alerting
Real-time analytics: Instant performance feedback and adjustment
Cross-platform integration: Unified customer view across all touchpoints
Predictive modeling: Forward-looking KPI forecasting and planning
Related terms
Key takeaways
Choose KPIs that directly align with business objectives rather than vanity metrics
Focus on 5-7 primary KPIs to maintain clarity and actionability
Always provide context through benchmarking, historical comparison, and segmentation
Balance leading indicators (engagement) with lagging indicators (revenue) for complete picture
Regular review and refinement of KPI selection ensures continued relevance to business goals
Ready to send better email?
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aliases: ["KPI"]
related_terms: ["open-rate", "click-through-rate-ctr", "conversion-rate"]
KPIs are the measurable metrics that track progress toward goals, such as open rate, CTR, or revenue per send.
Definition & Examples
What are Key Performance Indicators?
Key performance indicators (KPIs) are quantifiable metrics used to evaluate the progress toward specific business goals. By tracking KPIs, organizations can gauge how well their activities align with broader objectives and identify areas for improvement.
KPIs exist at different levels: high-level KPIs may track overall company performance (such as annual revenue growth or churn rate), while low-level KPIs monitor the effectiveness of teams or campaigns (like email open rates, click-through rates, conversion rates, or customer lifetime value).
Why KPIs matter for email marketing
Performance measurement: Quantify the success of email campaigns against specific objectives
Data-driven decisions: Make informed optimizations based on concrete metrics
Goal alignment: Ensure email efforts support broader business objectives
Resource allocation: Focus time and budget on highest-impact activities
Continuous improvement: Track progress over time and identify optimization opportunities
Essential email marketing KPIs
Engagement KPIs
Definition: Percentage of delivered emails that are opened
Calculation: (Emails Opened / Emails Delivered) × 100
Industry average: 15-25% depending on industry
Use case: Measure subject line and sender name effectiveness
Definition: Percentage of delivered emails that receive at least one click
Calculation: (Unique Clicks / Emails Delivered) × 100
Industry average: 2-5% across industries
Use case: Evaluate content relevance and CTA effectiveness
Click-to-Open Rate (CTOR)
Definition: Percentage of opened emails that receive clicks
Calculation: (Unique Clicks / Unique Opens) × 100
Industry average: 10-15%
Use case: Assess content quality among engaged subscribers
Deliverability KPIs
Delivery Rate
Definition: Percentage of emails successfully delivered to inboxes
Calculation: (Emails Delivered / Emails Sent) × 100
Target: 95%+ for healthy lists
Use case: Monitor sender reputation and list quality
Definition: Percentage of emails that couldn't be delivered
Calculation: (Bounced Emails / Emails Sent) × 100
Target: Less than 2% for good deliverability
Use case: Identify list hygiene needs
Spam Complaint Rate
Definition: Percentage of delivered emails marked as spam
Calculation: (Spam Complaints / Emails Delivered) × 100
Target: Less than 0.1%
Use case: Monitor content relevance and list consent quality
Business Impact KPIs
Definition: Percentage of email recipients who complete desired action
Calculation: (Conversions / Emails Delivered) × 100
Varies by: Campaign type and conversion goal
Use case: Measure campaign ROI and business impact
Revenue Per Email (RPE)
Definition: Average revenue generated per email sent
Calculation: Total Revenue / Emails Sent
Use case: Calculate direct financial impact of email campaigns
Email ROI
Definition: Return on investment from email marketing efforts
Calculation: (Revenue - Costs) / Costs × 100
Industry average: 3600% (36:1 return)
Use case: Justify email marketing budget allocation
Customer Lifetime Value (CLV) from Email
Definition: Total revenue generated from email subscribers over time
Use case: Understand long-term value of email acquisition
List Health KPIs
List Growth Rate
Definition: Rate at which your email list is growing
Calculation: (New Subscribers - Unsubscribes) / Total Subscribers × 100
Use case: Track sustainable list building efforts
Unsubscribe Rate
Definition: Percentage of delivered emails resulting in unsubscribes
Calculation: (Unsubscribes / Emails Delivered) × 100
Target: Less than 0.5%
Use case: Monitor content relevance and sending frequency
Email Sharing/Forward Rate
Definition: Percentage of recipients who share or forward emails
Calculation: (Shares/Forwards / Emails Delivered) × 100
Use case: Measure content value and viral potential
KPI frameworks for email marketing
SMART KPI criteria
Effective KPIs follow the SMART framework:
Specific: Clearly defined metric with precise measurement
Example: "Increase email open rate for newsletter campaigns"
Measurable: Quantifiable with specific numbers
Example: "Achieve 25% open rate (up from current 20%)"
Achievable: Realistic given resources and constraints
Example: Based on industry benchmarks and current performance
Relevant: Aligned with business objectives
Example: Open rate improvement supports customer engagement goals
Time-bound: Clear deadline for achievement
Example: "Achieve 25% open rate by end of Q2"
Funnel-based KPI mapping
Top of funnel (Awareness)
Email deliverability rate
Open rate
List growth rate
Brand mention tracking
Middle of funnel (Consideration)
Click-through rate
Email sharing rate
Time spent reading emails
Content engagement metrics
Bottom of funnel (Conversion)
Conversion rate
Revenue per email
Customer acquisition cost
Purchase frequency from email
Campaign-specific KPIs
Welcome series KPIs
Welcome email open rates
Series completion rates
Time to first purchase
Engagement progression through sequence
Newsletter KPIs
Consistent open rate trends
Content section click rates
Subscriber retention over time
Content preference insights
Promotional campaign KPIs
Conversion rate
Revenue attribution
Average order value from email
Discount code redemption rates
Transactional email KPIs
Delivery success rate
Customer satisfaction scores
Cross-sell/upsell conversion rates
Support ticket reduction
Setting KPI benchmarks and targets
Industry benchmarking
Research industry-specific performance standards:
E-commerce: Higher conversion focus, seasonal variations
SaaS: Engagement and retention emphasis, feature adoption tracking
Media/Publishing: Content engagement, subscription conversions
Non-profit: Donation conversion, volunteer engagement
Historical baseline establishment
Analyze 6-12 months of historical data
Identify seasonal patterns and trends
Account for list quality and audience changes
Document external factors affecting performance
Realistic target setting
Set incremental improvement goals (10-20% improvements)
Consider resource constraints and competitive landscape
Plan for testing and optimization cycles
Build in buffer for external factors
KPI tracking and reporting
Dashboard design principles
Executive dashboards:
High-level metrics aligned with business goals
Trend visualization over time
Comparison to targets and benchmarks
Key insights and action items
Campaign manager dashboards:
Detailed performance by campaign type
Segmentation and A/B testing results
Optimization recommendations
Operational metrics (list health, deliverability)
Analyst dashboards:
Granular data for deep analysis
Statistical significance testing
Advanced segmentation views
Attribution modeling results
Reporting cadence and formats
Daily monitoring:
Deliverability metrics
Campaign launch performance
Critical issues or anomalies
Weekly reports:
Campaign performance summary
Key metric trends
Optimization opportunities
List health indicators
Monthly analysis:
Comprehensive performance review
Goal progress assessment
Strategic recommendations
Competitive benchmarking
Quarterly business reviews:
Strategic impact measurement
ROI analysis and budget planning
Goal setting for next quarter
Resource allocation recommendations
Common KPI mistakes and solutions
Vanity metrics focus
Problem: Tracking metrics that look good but don't drive business results
Solutions:
Prioritize metrics tied to revenue and business objectives
Validate engagement metrics with conversion data
Focus on actionable metrics that inform optimization
Regular audit of KPI relevance to business goals
KPI overload
Problem: Tracking too many metrics without clear priorities
Solutions:
Limit to 5-7 primary KPIs per campaign or program
Create hierarchy of metrics (primary, secondary, diagnostic)
Align KPI selection with specific campaign goals
Regular review and pruning of tracked metrics
Lack of context
Problem: Viewing KPIs in isolation without proper benchmarking
Solutions:
Always compare against historical performance
Include industry benchmarks for context
Segment performance by audience characteristics
Account for external factors and seasonality
Short-term focus
Problem: Optimizing for immediate results at expense of long-term performance
Solutions:
Balance leading and lagging indicators
Track customer lifetime value alongside acquisition metrics
Monitor list health and subscriber satisfaction
Include retention and engagement trend analysis
Advanced KPI strategies
Predictive KPI modeling
Use historical data to predict future performance:
Email performance forecasting based on seasonal trends
Churn prediction based on engagement patterns
Revenue forecasting from email performance indicators
List growth projection modeling
Cross-channel KPI integration
Connect email KPIs with other marketing channels:
Multi-touch attribution modeling
Customer journey analysis across channels
Unified customer lifetime value calculation
Cross-channel campaign impact measurement
Personalization KPIs
Measure the impact of personalized email campaigns:
Personalization lift over generic campaigns
Dynamic content performance by segment
Behavioral trigger effectiveness
Individual subscriber engagement scoring
Tools and technology for KPI tracking
Native email platform analytics
Most email service providers offer comprehensive KPI tracking:
Loops: Built-in analytics with customizable dashboards
Mailchimp: Detailed reporting with comparative analysis
Klaviyo: Advanced segmentation and attribution tracking
ConvertKit: Simple KPI tracking with automation metrics
Advanced analytics platforms
Google Analytics: Website conversion tracking from email
Mixpanel: Event-based analytics for detailed user behavior
Amplitude: Product analytics for email-driven feature adoption
Tableau: Advanced data visualization and dashboard creation
Business intelligence tools
Looker: Centralized data platform for unified KPI tracking
Power BI: Microsoft's business intelligence and reporting platform
Sisense: AI-powered analytics for complex data relationships
DataStudio: Free Google tool for custom dashboard creation
Future of email marketing KPIs
Emerging metrics
Privacy-focused measurements:
Engagement quality over quantity metrics
First-party data activation success
Consent and preference management effectiveness
Brand sentiment and trust indicators
AI-powered insights:
Predictive engagement scoring
Automated anomaly detection
Dynamic benchmarking based on peer performance
Intelligent KPI recommendation engines
Customer experience metrics:
Email experience scores
Cross-device engagement consistency
Accessibility and inclusivity measurements
Sustainable and ethical marketing indicators
Technology integration
Machine learning: Automated KPI optimization and alerting
Real-time analytics: Instant performance feedback and adjustment
Cross-platform integration: Unified customer view across all touchpoints
Predictive modeling: Forward-looking KPI forecasting and planning
Related terms
Key takeaways
Choose KPIs that directly align with business objectives rather than vanity metrics
Focus on 5-7 primary KPIs to maintain clarity and actionability
Always provide context through benchmarking, historical comparison, and segmentation
Balance leading indicators (engagement) with lagging indicators (revenue) for complete picture
Regular review and refinement of KPI selection ensures continued relevance to business goals
© 2025 Astrodon Inc.
© 2025 Astrodon Inc.
© 2025 Astrodon Inc.
© 2025 Astrodon Inc.