Email Marketing KPIs: The Guide complet to Measuring Campaign Success

Email marketing delivers an average ROI of $36 for every $1 spent, but only if you measure and optimize the right métriques. Without tracking the right KPIs, you are flying blind and leaving revenus sur le table.

Ce guide complet couvre every email marketing KPI vous devez track, industry benchmarks to measure against, and actionable stratégies to improve each metric.

What Are Email Marketing KPIs?

Key Performance Indicators (KPIs) are measurable values that demonstrate how effectively your email marketing achieves its objectives. Unlike vanity métriques that look good but mean little, true KPIs directly connect to business outcomes like revenus, customer acquisition, and rétention.

Why Email Marketing KPIs Matter

Data-driven decisions: KPIs replace guesswork with evidence. Lorsque vous know which emails drive conversions, vous pouvez replicate success.

Resource optimization: Understanding which campagnes generate ROI helps allocate budget and time effectively.

Continuous improvement: Benchmarking against industry standards and your own historical data enables systematic optimization.

Stakeholder reporting: Clear KPIs communicate marketing value to leadership in terms they understand.

The 15 Essential Email Marketing KPIs

1. Taux d’ouverture

Definition: The percentage of delivered emails that were opened.

Formula:

Open Rate = (Emails Opened / Emails Delivered) x 100

Industry Benchmarks:

What Affects Taux d’ouverture:

• Subject line quality and relevance
• Sender name recognition
• Send time optimization
• Preview text effectiveness
• List quality and engagement
• Délivrabilité and inbox placement

Comment Improve Taux d’ouverture:

• A/B test lignes d’objet systematically
• Personalize lignes d’objet with recipient data
• Segment lists by engagement level
• Optimize send times using behavioral data
• Clean inactive abonnés regularly
• Build réputation d’expéditeur through consistent sending

Important Note on Apple Mail Privacy Protection: Since iOS 15, Apple pre-loads email content for Mail app users, inflating taux d’ouverture. Consider tracking unique opens, focusing on click métriques, and using taux d’ouverture as directional indicators plutôt que absolute measures.

2. Taux de clic (CTR)

Definition: The percentage of delivered emails where recipients clicked au moins one link.

Formula:

CTR = (Unique Clicks / Emails Delivered) x 100

Industry Benchmarks:

What Affects CTR:

• Email content relevance
• Call-to-action clarity and placement
• Design and mobile optimization
• Link count and prominence
• Offer attractiveness
• Content-to-audience match

Comment Improve CTR:

• Use clear, action-oriented CTAs
• Limit links to reduce decision fatigue
• Make buttons large and mobile-friendly
• Create urgency when appropriate
• Segment content to match audience interests
• Test button colors, text, and placement

3. Click-to-Taux d’ouverture (CTOR)

Definition: The percentage of email openers who clicked a link. CTOR isolates content effectiveness from délivrabilité and ligne d’objet performance.

Formula:

CTOR = (Unique Clicks / Unique Opens) x 100

Industry Benchmarks:

When CTOR Is More Useful Than CTR:

• Evaluating email content and design effectiveness
• Comparing different content approaches
• A/B testing email body content
• Assessing CTA performance

Comment Improve CTOR:

• Ensure content delivers on ligne d’objet promise
• Use compelling visuals that support the message
• Place primary CTA above the fold
• Reduce friction between content and action
• Match content complexity to audience expectations

4. Taux de conversion

Definition: The percentage of email recipients who completed a desired action (purchase, signup, download, etc.).

Formula:

Conversion Rate = (Conversions / Emails Delivered) x 100

Alternative formula (post-click):

Post-Click Conversion Rate = (Conversions / Unique Clicks) x 100

Industry Benchmarks:

What Affects Taux de conversion:

• Offer relevance and value
• Landing page experience
• Checkout or form friction
• Price and value proposition
• Trust signals and social proof
• Mobile optimization

Comment Improve Taux de conversion:

• Align email content with page d’atterrissage
• Reduce steps between click and conversion
• Add trust signals (reviews, guarantees)
• Create urgency without manipulation
• Optimize forms for simplicity
• Ensure mobile checkout works seamlessly

5. Taux de rebond

Definition: The percentage of emails that could not be delivered.

Formula:

Bounce Rate = (Bounced Emails / Emails Sent) x 100

Types of Bounces:

Healthy Benchmark: Under 2%

Warning Threshold: Above 5% indicates serious list quality issues

What Causes High Taux de rebonds:

• Purchased or scraped listes email
• Lack of vérification d’email at signup
• Old, unmaintained lists
• Typos in email addresses
• Spam traps in your list

Comment Reduce Taux de rebond:

• Implement double opt-in
• Use vérification d’email services
• Clean lists regularly (quarterly minimum)
• Never purchase listes email
• Monitor taux de rebond by acquisition source

6. Taux de désabonnement

Definition: The percentage of recipients who unsubscribe from your list.

Formula:

Unsubscribe Rate = (Unsubscribes / Emails Delivered) x 100

Healthy Benchmark: Under 0.5% per campaign

Warning Threshold: Consistently above 1%

What Causes High Taux de désabonnements:

• Excessive email frequency
• Irrelevant content
• Misleading lignes d’objet
• Poor list segmentation
• Unclear value proposition
• Difficult preference management

Comment Reduce Taux de désabonnement:

• Send at appropriate frequency
• Segment content by interest
• Set clear expectations at signup
• Offer preference center options
• Make content genuinely valuable
• Honor subscriber preferences

7. Spam Complaint Rate

Definition: The percentage of recipients who mark your email as spam.

Formula:

Spam Complaint Rate = (Spam Complaints / Emails Delivered) x 100

Critical Threshold: Must stay below 0.1% (1 complaint per 1,000 emails)

Why This Matters: ISPs monitor complaint rates closely. Exceeding thresholds damages réputation d’expéditeur and can result in inbox placement issues or blacklisting.

What Triggers Spam Complaints:

• Sending to people who did not subscribe
• Hiding or complicating unsubscribe
• Dramatically changing content type
• Sending too frequently
• Poorly maintained lists
• Deceptive lignes d’objet

Comment Minimize Spam Complaints:

• Only email confirmed opt-ins
• Make unsubscribe easy and obvious
• Maintain consistent sender identity
• Honor frequency expectations
• Remove unengaged abonnés proactively

8. List Growth Rate

Definition: The rate at which your liste email is growing after accounting for unsubscribes and bounces.

Formula:

List Growth Rate = ((New Subscribers - Unsubscribes - Bounces) / Total Subscribers) x 100

Healthy Benchmark: 2-5% monthly net growth

Warning Signs:

• Negative growth (list shrinking)
• Growth only from paid sources
• High churn offsetting acquisition

Comment Improve List Growth:

• Optimize formulaires d’inscription and placement
• Create compelling lead magnets
• Use exit-intent popups
• Leverage social media for signups
• Implement referral programs
• Add signup options throughout parcours client

9. Email Sharing/Forward Rate

Definition: The percentage of recipients who share your email via forward or social sharing.

Formula:

Forward Rate = (Forwards or Shares / Emails Delivered) x 100

Benchmark: 0.1-0.5% (highly shareable content can exceed 1%)

Why This Matters: Forwards extend reach organically and often bring in highly qualified leads since they come as recommendations.

Comment Improve Forward Rate:

• Create genuinely valuable content
• Include explicit share/forward prompts
• Add social sharing buttons
• Make content easy to pass along
• Create content worth recommending

10. Revenus Per Email (RPE)

Definition: The average revenus generated par email delivered.

Formula:

RPE = Total Email Revenue / Emails Delivered

Alternative: Revenus Per Subscriber (RPS):

RPS = Total Email Revenue / Active Subscribers

Benchmarks: Highly variable by industry and business model

Comment Improve RPE:

• Focus on high-intent segments
• Optimize panier abandonné recovery
• Personalize product recommendations
• Test offer amounts and timing
• Improve post-achat upselling

11. Customer Lifetime Value from Email (Email CLV)

Definition: The total revenus generated from email-attributed customer relationships.

Formula:

Email CLV = Average Order Value x Purchase Frequency x Customer Lifespan (attributed to email)

Why This Matters: CLV helps justify acquisition costs and demonstrates email’s long-term value beyond immediate conversions.

Comment Improve Email CLV:

• Build effective rétention sequences
• Implement programmes de fidélité communicated via email
• Create post-achat engagement flows
• Develop win-back campagnes for lapsing clients
• Personalize recommendations based on purchase history

12. Email ROI

Definition: The return on investment from email marketing activities.

Formula:

Email ROI = ((Email Revenue - Email Costs) / Email Costs) x 100

Industry Benchmark: Average ROI of 3,600% ($36 return per $1 spent)

Costs to Include:

• Email platform subscription
• List management and verification tools
• Design and content creation
• Staff time allocated to email
• Testing and optimization tools

Comment Improve Email ROI:

• Increase revenus through better segmentation
• Reduce costs through automatisation
• Improve délivrabilité to maximize reach
• Focus resources on highest-performing emails
• Cut underperforming campagnes

13. Délivrabilité Rate

Definition: The percentage of emails that successfully reach recipients’ inboxes (not just delivered to servers).

Formula:

Deliverability Rate = (Emails in Inbox / Emails Sent) x 100

Note: True inbox placement requires specialized tools like seed testing.

Healthy Benchmark: Above 95%

What Affects Délivrabilité:

• Sender reputation
• Authentication (SPF, DKIM, DMARC)
• Content quality and spam triggers
• List hygiene
• Engagement rates
• Infrastructure and IP reputation

Comment Improve Délivrabilité:

• Implement propar email authentication
• Maintain consistent sending patterns
• Remove inactive abonnés
• Monitor blacklists regularly
• Avoid spam trigger words and patterns
• Use dedicated IPs for high-volume sending

14. Engagement Over Time

Definition: Trends in subscriber engagement measured across campagnes and time periods.

Métriques to Track:

• 30/60/90-day engagement rates
• Engagement decay curves
• Reactivation rates
• Subscriber lifetime engagement

Why This Matters: Understanding engagement trends helps predict list health and identify optimization opportunities before problems escalate.

Comment Use Engagement Trends:

• Identify optimal email frequency
• Trigger win-back campagnes at right time
• Segment by engagement level
• Predict subscriber churn
• Measure impact of stratégie changes

15. Mobile vs. Desktop Performance

Definition: Comparison of KPIs across device types.

Métriques to Compare:

• Taux d’ouvertures by device
• Click rates by device
• Conversion rates by device
• Revenus by device

Current Benchmarks:

• Mobile opens: 60-70% of all opens
• Mobile clicks: Often 20-30% plus bas que desktop
• Mobile conversion: Typically lower (friction-dependent)

Comment Optimize for Mobile:

• Use single-column layouts
• Make buttons au moins 44x44 pixels
• Keep lignes d’objet under 40 characters
• Use readable font sizes (14px minimum)
• Simplify forms and checkout
• Test across multiple devices and clients

Setting Up Your KPI Dashboard

Essential Dashboard Components

Campaign Performance View:

• Taux d’ouverture, CTR, CTOR by campaign
• Conversion rate and revenus
• Comparison to averages
• Trend indicators

List Health View:

• Subscriber count and growth rate
• Taux de rebond trends
• Unsubscribe patterns
• Engagement distribution

Revenus View:

• Total email revenus
• Revenus by campaign type
• RPE trends
• ROI calculations

Reporting Frequency

Tools for KPI Tracking

Email Platform Analyses: Most email plateformes provide built-in reporting for opens, clicks, and basic engagement métriques.

Google Analyses: Track post-click behavior, conversion paths, and revenus attribution using UTM parameters.

Dedicated Email Analyses: Tools like Litmus, EmailonAcid, or specialized plateformes provide délivrabilité monitoring, inbox placement testing, and advanced analyses.

BI Plateformes: For enterprise reporting, integrate email data into Looker, Tableau, or similar plateformes for cross-channel analysis.

Benchmarking Your Performance

Comment Use Industry Benchmarks

1. Context matters: Industry averages provide reference points, not targets. Your specific audience, content type, and business model affect what is achievable.

2. Compare to yourself first: Your own historical data is le plus relevant benchmark. Track improvement au fil du temps.

3. Segment your analysis: Aggregate benchmarks hide variation. Compare emails promotionnels to promotional benchmarks, transactional to transactional.

4. Consider list quality: A smaller, engaged list often outperforms larger, purchased lists. Quality trumps quantity.

Benchmark Sources

Setting Your Own Targets

Step 1: Establish baselines from 3-6 months of data

Step 2: Identify top-performing campagnes and understand why

Step 3: Set incremental improvement targets (5-10% above baseline)

Step 4: Define stretch goals for new initiatives

Step 5: Review and adjust targets quarterly

Improving Your Email Marketing KPIs

Quick Wins for Immediate Impact

1. Ligne d’objet Optimization

• Test emotional vs. rational approaches
• Experiment with length (short vs. descriptive)
• Try personnalisation (name, location, behavior)
• Test urgency and scarcity messaging

2. Send Time Optimization

• Analyze your open data by hour and day
• Test different send times for different segments
• Consider timezone-based sending
• Use AI-powered send time optimization

3. List Segmentation

• Segment by purchase history
• Segment by engagement level
• Segment by interests and preferences
• Segment by lifecycle stage

4. Mobile Optimization

• Audit emails on multiple devices
• Simplify layouts for small screens
• Increase button sizes
• Reduce image file sizes

Long-Term Stratégies

1. Build Systematic Testing Programs

• Establish testing cadence
• Document all test results
• Scale winning approaches
• Continuously iterate

2. Implement Behavioral Automatisation

• Welcome sequences for new abonnés
• Abandoned cart recovery
• Post-purchase engagement
• Win-back campagnes for inactive abonnés

3. Develop Personnalisation Capabilities

• Dynamic content based on behavior
• Product recommendations
• Personalized send times
• Location-based content

4. Focus on List Quality

• Regular list cleaning
• Engagement-based suppression
• Preference center management
• Double opt-in implementation

Attribution and Measurement Challenges

Common Attribution Issues

1. Multi-Touch Complexity: Clients often see multiple emails before converting. Attribution models affect how credit is assigned.

2. Cross-Device Tracking: Clients may open on mobile but convert on desktop, complicating measurement.

3. Apple Privacy Changes: Mail Privacy Protection affects open tracking accuracy for Apple Mail users.

4. Offline Conversions: Email influences in-store purchases that are difficult to attribute.

Attribution Models for Email

Dealing with iOS 15+ Privacy

Impact: Taux d’ouvertures inflated by Apple Mail pre-fetching

Adaptations:

• Focus on click métriques over opens
• Use opens as directional, not absolute
• Track unique opens vs. total opens
• Build engagement scores using multiple signals
• Implement click-based automatisation triggers

FAQ: Email Marketing KPIs

Qu’est-ce que a good email taux d’ouverture?

A good email taux d’ouverture varies by industry but generally falls between 15-25% for most sectors. E-commerce averages 15-20%, while non-profits often see 22-27%. Cependant, taux d’ouverture should be interpreted cautiously en raison de Apple Mail Privacy Protection impact. Focus on your own trends au fil du temps plutôt que absolute numbers.

How do I calculate email marketing ROI?

Calculate email marketing ROI using this formula: ((Email Revenus - Email Costs) / Email Costs) x 100. Include all costs comme platform fees, design, content creation, and staff time. The industry average ROI is approximately 3,600%, or $36 return for every $1 spent. Track revenus using UTM parameters and conversion tracking in your analyses platform.

Qu’est-ce que the difference between CTR and CTOR?

Taux de clic (CTR) measures clicks as a percentage of all delivered emails, while Click-to-Taux d’ouverture (CTOR) measures clicks as a percentage of opened emails. CTR shows overall campaign effectiveness y compris délivrabilité and lignes d’objet. CTOR isolates content and CTA effectiveness by removing taux d’ouverture depuis le equation. Use CTR for overall performance and CTOR for content optimization.

How often should I send marketing emails?

Optimal email frequency depends on your audience, content value, and business model. Most e-commerce brands send 2-4 emails promotionnels par semaine plus triggered automatisations. Test frequency with your audience using engagement métriques. Watch for increasing unsubscribes or decreasing engagement as signs of over-sending. Under-sending risks audience forgetfulness and revenus loss.

Qu’est-ce que a healthy email taux de rebond?

A healthy taux de rebond is under 2%. Rates consistently above 5% indicate serious list quality issues requiring immediate attention. Hard bounces (permanent failures) should be removed immediately. Soft bounces (temporary issues) warrant retries before removal. Implement vérification d’email at signup and clean your list quarterly to maintain healthy taux de rebond.

How do I improve my email délivrabilité?

Improve délivrabilité by implementing proper authentication (SPF, DKIM, DMARC), maintaining consistent sending patterns, removing inactive abonnés, and avoiding spam triggers in content. Monitor your réputation d’expéditeur using tools like Google Postmaster. Use double opt-in to ensure list quality. Keep complaint rates below 0.1% by making unsubscribe easy and only emailing engaged abonnés.

What métriques should I track for panier abandonné emails?

For panier abandonné emails, track recovery rate (percentage of paniers abandonnés recovered), revenus recovered, revenus par email, taux de conversion, and average order value of recovered carts. Compare performance across your cart séquence email (timing of each email). Benchmark against the typical 5-15% recovery rate and optimize timing, incentives, and content based on results.

How do I measure email engagement au fil du temps?

Measure engagement trends using cohort analysis (tracking how signup cohorts engage au fil du temps), engagement decay curves, and rolling engagement rates (30/60/90-day windows). Segment abonnés by engagement level (highly engaged, moderately engaged, at-risk, inactive) and track movement between segments. Use these insights to trigger réengagement campagnes and optimize content stratégie.

What KPIs matter most pour le e-commerce email marketing?

For e-commerce, prioritize revenus-focused KPIs: Revenus Per Email (RPE), taux de conversion, panier abandonné recovery rate, and email-attributed revenus. Secondary métriques include taux de clic, engagement trends, and list growth. Track automated flow performance separately from campaign performance. Focus on Customer Lifetime Value attributed to email for long-term stratégie.

How do I set up propar email attribution?

Set up email attribution using UTM parameters on all links (utm_source=email, utm_medium=email, utm_campaign=[campaign_name]). Configure conversion tracking in Google Analyses or your analyses platform. Decide on an attribution model (last click is simplest, multi-touch provides more nuance). For plateformes like Shopify, ensure your email platform intégration attributes orders correctly.

Measuring Email Performance with Tajo

Tajo’s intégration with Shopify and Brevo provides comprehensive email KPI tracking:

Unified Dashboard:

• Track opens, clicks, conversions, and revenus in one place
• Compare campaign performance across channels
• Monitor automatisation flow effectiveness

Customer-Level Attribution:

• See complete parcours client y compris email touchpoints
• Track CLV attributed to email marketing
• Understand cross-channel influence

Automated Reporting:

• Scheduled performance reports
• Anomaly detection for key métriques
• Benchmark comparisons

Multi-Channel Measurement:

• Track email alongside SMS and WhatsApp
• Understand channel interaction effects
• Optimize channel mix based on data

Conclusion

Effective email marketing requires measuring the right KPIs and systematically optimizing based on data. Focus on métriques that connect to business outcomes: revenus, conversions, and customer lifetime value.

Start avec le fundamentals:

1. Track taux d’ouverture, CTR, and taux de conversion for every campaign
2. Monitor list health through bounce, unsubscribe, and complaint rates
3. Calculate ROI and revenus par email to demonstrate value
4. Set baselines and improvement targets
5. Implement systematic testing to continuously improve

Remember that benchmarks provide context, but your own historical data is le plus relevant comparison. Build dashboards that surface insights, establish regular reporting cadences, and use KPIs to drive stratégie plutôt que just measure it.

Ready to improve your email marketing métriques? Commencez avec Tajo and get unified tracking across email, SMS, and WhatsApp, with automatic Shopify intégration for accurate revenus attribution.