Email Marketing ROI: Comment Calculate, Track & Improve Returns [2025]

Email marketing delivers an average return of $36 for every $1 spent, making it the highest-ROI marketing channel available to entreprises. But “average” ne fait pas mean much lorsque vous’re trying to measure your own performance.

Understanding how to calculate, track, and improve your email marketing ROI is essential for proving the value of your email program and making data-driven decisions about where to invest your marketing budget.

Ce guide complet couvre tout ce que vous devez savoir about email marketing ROI: the formulas, tracking methods, industry benchmarks, attribution models, and actionable stratégies to improve your returns.

What Is Email Marketing ROI?

Email marketing ROI (Return on Investment) measures the profitability of your email marketing efforts. It answers a simple question: for every dollar you spend on email marketing, how much revenus do you generate?

Why Email Marketing ROI Matters

• Budget justification: Prove the value of your email program to stakeholders
• Resource allocation: Determine how much to invest in email vs. other channels
• Performance benchmarking: Compare your results against industry standards
• Strategic optimization: Identify what’s working and where to improve
• Campaign prioritization: Focus on high-ROI campagnes and automatisations

The Challenge of Measuring Email ROI

Unlike paid advertising where attribution is relatively straightforward, email marketing ROI can be complex to measure because:

• Revenus often occurs across multiple touchpoints
• Clients may receive multiple emails before purchasing
• Email influences purchases through other channels
• Not all email value is immediately measurable (brand awareness, fidélité)

Despite these challenges, having a clear methodology for measuring ROI is essential for any serious email marketer.

Comment Calculate Email Marketing ROI

The Basic ROI Formula

The fundamental email marketing ROI formula is:

Email Marketing ROI = [(Revenue from Email - Cost of Email Marketing) / Cost of Email Marketing] x 100

Example calculation:

• Revenus from email: $50,000
• Cost of email marketing: $2,000
• ROI = [($50,000 - $2,000) / $2,000] x 100 = 2,400%

Cela signifie for every $1 spent, you earned $24 in revenus (or $25 total, y compris the original dollar).

Detailed ROI Calculation Components

To calculate ROI accurately, vous devez identify all revenus and costs.

Revenus Components

Cost Components

Three ROI Calculation Methods

Method 1: Simple ROI

Best for quick calculations and single campagnes.

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

Pros: Easy to calculate, good for snapshots Cons: Doesn’t account for attribution complexity

Method 2: Customer Lifetime Value ROI

Best for long-term strategic planning.

CLV ROI = (Customer Lifetime Value x New Customers from Email - Total Email Costs) / Total Email Costs x 100

Pros: Captures long-term value Cons: Requires accurate CLV data

Method 3: Incremental ROI

Best for measuring true impact versus control groups.

Incremental ROI = (Revenue with Email - Revenue without Email) / Email Costs x 100

Pros: Measures actual lift from email Cons: Requires holdout testing

Email Marketing ROI Benchmarks

Industry Average ROI

Selon multiple industry studies, here are the current email marketing ROI benchmarks:

ROI by Industry

Different industries see varying email marketing performance:

What’s Considered “Good” ROI?

ROI by Email Type

Not all emails generate equal ROI:

Comment Track Email Marketing ROI

Essential Métriques to Monitor

Track these métriques to calculate and understand your ROI:

Revenus Métriques

Performance Métriques That Impact ROI

Setting Up ROI Tracking

Step 1: Implement UTM Parameters

Use consistent UTM tracking for all email links:

https://yoursite.com/product?utm_source=email&utm_medium=campaign&utm_campaign=spring-sale&utm_content=hero-cta

UTM Parameters:

• utm_source: email
• utm_medium: newsletter, automatisation, transactional
• utm_campaign: specific campaign name
• utm_content: link location (hero, footer, etc.)

Step 2: Connect Email Platform to Analyses

Ensure your email platform integrates with:

• Google Analyses 4
• Your e-commerce platform
• Your CRM system
• Revenus tracking tools

Step 3: Set Up Conversion Goals

Define what counts as a conversion:

• Purchase completed
• Subscription started
• Lead form submitted
• Demo booked
• Download completed

Step 4: Establish Attribution Rules

Decide how you’ll attribute revenus to email (see attribution section below).

Building an ROI Dashboard

Create a monthly ROI dashboard avec lese components:

Section 1: Overview

• Total email revenus
• Total email costs
• Overall ROI
• Comparison to previous period

Section 2: Campaign Performance

• Top 10 campagnes by revenus
• Revenus by campaign type
• Cost per acquisition

Section 3: Automatisation Performance

• Revenus by workflow
• Automatisation vs. campaign revenus split
• Automatisation optimization opportunities

Section 4: Trends

• ROI trend over 12 months
• Seasonal patterns
• Year-over-year comparison

Attribution Models for Email Marketing

Understanding Attribution

Attribution determines how credit for conversions is assigned across marketing touchpoints. For email, this is critical because:

• Clients often receive multiple emails before purchasing
• Email frequently assists conversions that close through other channels
• Different attribution models can dramatically change perceived ROI

Common Attribution Models

Last-Click Attribution

Comment ça fonctionne: 100% credit goes vers le last touchpoint before conversion.

Example: Customer receives 5 emails, clicks sur le 5th, and buys. Email gets 100% credit.

Pros: Simple, easy to implement Cons: Ignores nurturing emails, undervalues awareness campagnes

Best for: E-commerce with short purchase cycles

First-Click Attribution

Comment ça fonctionne: 100% credit goes vers le first touchpoint.

Example: Customer discovers brand through email, later returns via Google and buys. Email gets 100% credit.

Pros: Values customer acquisition Cons: Ignores conversion-driving touchpoints

Best for: Understanding génération de leads value

Linear Attribution

Comment ça fonctionne: Equal credit distributed across all touchpoints.

Example: 5 emails sent before purchase. Each email gets 20% credit.

Pros: Acknowledges all touchpoints Cons: Doesn’t account for varying impact

Best for: Long sales cycles with multiple touches

Time-Decay Attribution

Comment ça fonctionne: More credit to touchpoints closer to conversion.

Example: 5 emails sent. Email 5 gets 40%, Email 4 gets 25%, Email 3 gets 15%, Email 2 gets 12%, Email 1 gets 8%.

Pros: Balances full journey with conversion importance Cons: May undervalue early awareness

Best for: Multi-touch campagnes with clear conversion paths

Position-Based (U-Shaped) Attribution

Comment ça fonctionne: 40% to first touch, 40% to last touch, 20% distributed among middle.

Example: 5 emails sent. Email 1 gets 40%, Email 5 gets 40%, Emails 2-4 share 20%.

Pros: Values both acquisition and conversion Cons: May over-credit first/last touches

Best for: Balanced view of full funnel

Choosing the Right Attribution Model

Attribution Meilleures pratiques

1. Be consistent: Use the same model across all reporting
2. Set appropriate windows: 7-30 days pour le e-commerce, 30-90 days for B2B
3. Compare models: Run parallel tracking to understand differences
4. Document assumptions: Ensure stakeholders understand methodology
5. Review quarterly: Adjust as your parcours client evolves

Real-World ROI Calculation Examples

Understanding theory is one thing—applying it is another. Voici practical examples of calculating email marketing ROI across different scenarios.

Example 1: E-commerce Monthly Campaign

Scenario: An online fashion retailer runs a spring collection launch campaign.

Campaign Details:

• Emails sent: 50,000
• Taux d’ouverture: 24%
• Taux de clic: 3.2%
• Conversion rate: 4.5%
• Average order value: $85

Costs:

• Email platform (monthly): $200
• Design (2 hours x $75): $150
• Copy (3 hours x $60): $180
• Team management (5 hours x $50): $250
• Total campaign cost: $780

Revenus:

• Clicks: 50,000 x 3.2% = 1,600
• Conversions: 1,600 x 4.5% = 72
• Revenus: 72 x $85 = $6,120

ROI Calculation:

ROI = [($6,120 - $780) / $780] x 100 = 684%

Result: $7.84 return for every $1 spent (or 6.84:1 on net revenus).

Example 2: Panier abandonné Automatisation

Scenario: A beauty brand measures quarterly panier abandonné performance.

Quarterly Numbers:

• Cart abandonments: 8,500
• Emails sent (3-email series): 25,500
• Recovery rate: 8.2%
• Average recovered order: $62

Costs:

• Platform cost (allocated): $150/quarter
• Initial setup (amortized): $50/quarter
• Monitoring (2 hours/month x 3): $180
• Total quarterly cost: $380

Revenus:

• Recovered orders: 8,500 x 8.2% = 697
• Revenus: 697 x $62 = $43,214

ROI Calculation:

ROI = [($43,214 - $380) / $380] x 100 = 11,272%

Result: $113.72 return for every $1 spent. This demonstrates why panier abandonné emails typically have the highest ROI.

Example 3: B2B Newsletter with Long Sales Cycle

Scenario: A SaaS company tracks newsletter ROI over 90-day attribution window.

Monthly Numbers:

• Abonnés: 12,000
• Emails sent: 48,000 (weekly newsletter)
• Taux de clic: 2.1%
• Trial signups (from email): 45
• Trial-to-paid conversion: 22%
• Average annual contract: $2,400

Costs:

• Platform: $300/month
• Content creation (8 hours x $100): $800
• Design: $200
• Management (10 hours x $60): $600
• Monthly cost: $1,900

Revenus (immediate):

• Paid conversions: 45 x 22% = 10
• Annual revenus: 10 x $2,400 = $24,000
• Monthly attribution: $24,000 / 12 = $2,000

ROI (immediate):

ROI = [($2,000 - $1,900) / $1,900] x 100 = 5.3%

ROI (with CLV): If average customer stays 3 years:

• CLV: $2,400 x 3 = $7,200
• CLV-adjusted monthly revenus: $7,200 x 10 / 12 = $6,000

CLV ROI = [($6,000 - $1,900) / $1,900] x 100 = 216%

Result: While immediate ROI appears modest (5.3%), CLV-adjusted ROI shows the true value (216% or 3.16:1).

Key Insights from Examples

Takeaways:

• Automatisation (panier abandonné) consistently outperforms manual campagnes
• B2B requires CLV measurement to show true value
• Include all costs for accurate ROI calculation

15 Stratégies to Improve Email Marketing ROI

Stratégie 1: Prioritize High-Value Automatisations

Automated emails generate 320% more revenus than manual campagnes. Focus on:

Highest ROI automatisations:

1. Abandoned cart (recovery rate: 5-15%)
2. Welcome series (taux de conversion: 5-10%)
3. Browse abandonment (taux de conversion: 3-5%)
4. Win-back campagnes (reactivation rate: 5-10%)
5. Post-purchase upsells (taux de conversion: 8-12%)

Action: Audit your automatisations quarterly and optimize the top performers first.

Stratégie 2: Segment Aggressively

Segmented campagnes generate 760% more revenus than non-segmented blasts.

High-value segments:

Stratégie 3: Optimize Send Times

Sending au right time can improve taux d’ouverture by 20-30%.

Testing approach:

1. Analyze current engagement by day/hour
2. A/B test different send times
3. Implement send-time optimization if available
4. Segment by time zone for global audiences

Stratégie 4: Improve Délivrabilité

Emails that ne faites pas reach the inbox generate zero ROI.

Délivrabilité checklist:

• Maintain list hygiene (remove bounces, unengaged)
• Authenticate emails (SPF, DKIM, DMARC)
• Monitor réputation d’expéditeur
• Avoid spam triggers
• Use double opt-in
• Provide easy unsubscribe

Target: 95%+ inbox placement rate

Stratégie 5: Reduce Costs Without Sacrificing Quality

Lower costs directly improve ROI.

Cost reduction tactics:

Stratégie 6: Increase Average Order Value

Higher AOV means higher revenus par email.

AOV tactics in email:

• Product bundles in recommendations
• Tiered discounts (spend more, save more)
• Free shipping thresholds
• Add-on suggestions
• Limited-time upgrades

Target: 10-20% AOV increase from email campagnes

Stratégie 7: A/B Test Systematically

Continuous testing compounds improvements au fil du temps.

High-impact test elements:

Stratégie 8: Leverage Dynamic Content

Personalized content increases conversions by 20-30%.

Dynamic content types:

• Product recommendations based on browse/purchase history
• Location-based content
• Weather-triggered messaging
• Customer segment-specific offers
• Countdown timers for urgency

Stratégie 9: Reduce Unsubscribes and Complaints

Every lost subscriber is lost future revenus.

Rétention tactics:

• Preference centers for frequency control
• Relevant, valuable content
• Proper expectation setting at signup
• Easy unsubscribe (reduces complaints)
• Win-back before they churn

Stratégie 10: Expand Your List Strategically

More quality abonnés = more revenus potential.

List growth tactics with ROI impact:

Stratégie 11: Integrate Multi-Channel Data

Unified customer data improves targeting and personnalisation.

Intégration priorities:

• E-commerce platform (orders, products, clients)
• CRM (customer lifecycle, value)
• Website analyses (browse behavior)
• Fidélité programs (points, tiers)
• Customer service (support history)

Stratégie 12: Re-Engage Inactive Abonnés

Inactive abonnés cost money without generating revenus.

Réengagement approach:

1. Define “inactive” (60-90 days no engagement)
2. Run win-back sequence (3-4 emails)
3. Offer incentive for réengagement
4. Remove non-responders from active list

Expected results: 5-10% reactivation, significant cost savings

Stratégie 13: Optimize Mobile Experience

60%+ of emails are opened on mobile.

Mobile optimization checklist:

• Single-column layout
• Large tap targets (44x44px minimum)
• Readable fonts (14px+ body)
• Compressed images
• Short, scannable copy
• Clear CTAs

Stratégie 14: Improve Page d’atterrissage Conversion

Email clicks mean nothing without page d’atterrissage conversions.

Landing page optimization:

• Message match (consistency with email)
• Fast load times (under 3 seconds)
• Mobile optimization
• Clear value proposition
• Minimal friction
• Trust signals

Stratégie 15: Track and Report Consistently

Vous pouvez’t improve what you ne faites pas measure.

Monthly ROI review process:

1. Calculate overall email ROI
2. Break down by campaign type
3. Identify top and bottom performers
4. Document learnings
5. Plan optimizations for next month

ROI Optimization by Funnel Stage

Different stages du customer funnel require different optimization stratégies. Understanding where to focus maximizes overall ROI.

Top of Funnel: Acquisition

Goal: Grow your subscriber list with quality leads

Key métriques:

• Cost par abonné
• List growth rate
• Subscriber quality score

ROI optimization tactics:

1. Focus on high-intent signup sources (content upgrades vs. generic popups)
2. Qualify leads with double opt-in and preference selection
3. Track subscriber source to revenus conversion
4. Remove low-quality acquisition channels

Benchmark: Cost per quality subscriber should be under $3-5 pour le e-commerce, $15-25 for B2B

Middle of Funnel: Engagement

Goal: Nurture abonnés toward first purchase

Key métriques:

• Taux d’ouverture trends
• Taux de clics
• Time to first purchase

ROI optimization tactics:

1. Welcome series optimization (aim for 10%+ conversion)
2. Behavioral triggers based on engagement signals
3. Segmented content for different interest groups
4. Réengagement campagnes before abonnés go cold

Benchmark: Welcome series should generate 3x more revenus par email than promotional campagnes

Bottom of Funnel: Conversion

Goal: Convert engaged abonnés to clients

Key métriques:

• Conversion rate
• Average order value
• Cart abandonment recovery rate

ROI optimization tactics:

1. Abandoned cart optimization (test timing, messaging, incentives)
2. Browse abandonment for interested non-buyers
3. Price drop and back-in-stock alerts
4. Social proof and urgency in emails promotionnels

Benchmark: Abandoned cart recovery rate should be 5-15% of abandoners

Post-achat: Rétention

Goal: Maximize customer lifetime value

Key métriques:

• Repeat purchase rate
• Customer lifetime value
• Reactivation rate

ROI optimization tactics:

1. Post-purchase sequences that drive second purchase
2. VIP and programme de fidélité emails
3. Replenishment reminders for consumables
4. Win-back campagnes before clients churn

Benchmark: Email should drive 20-30% higher repeat purchase rate vs. non-email clients

Funnel Stage Priority Matrix

Common ROI Calculation Mistakes

Mistake 1: Ignoring Full Costs

Problem: Only counting platform costs, ignoring labor and other expenses.

Solution: Include all costs: platform, design, copy, team time, tools.

Mistake 2: Not Accounting for Attribution

Problem: Using last-click only, missing email’s assist value.

Solution: Use multi-touch attribution or at minimum, track assisted conversions.

Mistake 3: Too Short Attribution Windows

Problem: Only crediting purchases within 24 hours of email click.

Solution: Use 7-30 day windows pour le e-commerce, longer for B2B.

Mistake 4: Counting All Revenus

Problem: Attributing revenus to email that would have happened anyway.

Solution: Use holdout tests to measure incremental lift.

Mistake 5: Inconsistent Measurement

Problem: Changing methodology, making comparisons impossible.

Solution: Document methodology and maintain consistency.

Mistake 6: Ignoring List Quality

Problem: Celebrating large lists without considering engagement.

Solution: Track revenus par abonné, not just total list size.

Tracking Email Marketing ROI with Tajo

Measuring email marketing ROI across multiple plateformes can be challenging. Tajo simplifies this by:

Unified Data View

• Sync Shopify orders, clients, and products with Brevo
• Track complete parcours client in one place
• Connect email engagement to actual purchases

Automated Attribution

• Real-time revenus attribution to campagnes
• Multi-touch tracking across séquences email
• Clear visibility into automatisation performance

Built-in Analyses

• Revenus par email and par abonné
• Campaign and automatisation ROI dashboards
• Customer lifetime value tracking
• Segment performance comparison

Actionable Insights

• Identify high-performing campagnes
• Spot underperforming automatisations
• Track ROI trends au fil du temps
• Export data for custom analysis

Questions fréquemment posées

Qu’est-ce que a good email marketing ROI?

The industry average is $36-42 return for every $1 spent. A “good” ROI depends on your industry, but generally: under 20:1 needs improvement, 35:1-45:1 is good, and above 45:1 is excellent. E-commerce typically sees higher ROI (45:1+) en raison de direct purchase attribution.

Comment calculate email marketing ROI?

Use the formula: ROI = [(Revenus from Email - Cost of Email Marketing) / Cost of Email Marketing] x 100. Include all costs (platform, design, labor) and track revenus using UTM parameters and proper attribution. Par exemple, if you generated $50,000 from email with $2,000 in costs, your ROI is 2,400% or 24:1.

What attribution model should I use for email?

Cela dépend de your business. E-commerce with short purchase cycles can use last-click. Entreprises with longer sales cycles should consider time-decay or position-based models. The key is consistency—pick a model, document it, and stick with it for accurate comparisons au fil du temps.

Comment I improve my email marketing ROI quickly?

Focus on high-impact areas: (1) Optimize your panier abandonné series, (2) Segment your list and send targeted campagnes, (3) Clean your list to reduce costs and improve délivrabilité, (4) A/B test lignes d’objet, and (5) Ensure mobile optimization. These changes can improve ROI by 20-50% within 30-60 days.

Pourquoi my email marketing ROI low?

Common causes include: poor list quality or engagement, lack of segmentation, missing key automatisations (especially panier abandonné), délivrabilité issues, weak CTAs, poor pages d’atterrissage, or inaccurate tracking. Start by auditing your automatisations and list health.

How often should I measure email marketing ROI?

Calculate ROI monthly for trending, quarterly for strategic planning, and per-campaign for optimization. Monthly reviews help you spot issues quickly, while quarterly analysis provides context for bigger decisions. Always compare vers le same period last year to account for seasonality.

Should I include customer lifetime value in ROI calculations?

Yes, if possible. CLV-based ROI gives a more accurate picture of email’s true value, especially for subscriber acquisition campagnes. A welcome series might have moderate immediate ROI but excellent CLV ROI if it converts high-value clients. Track both immediate and CLV-based ROI.

How do I prove email marketing ROI to stakeholders?

Create a clear monthly report showing: total email revenus, total costs, overall ROI, comparison to benchmarks, trend au fil du temps, and specific wins (e.g., “panier abandonné recovered $15,000”). Use consistent methodology so comparisons are valid. Highlight ROI relative to other marketing channels.

Conclusion

Email marketing ROI n’est pas just a number—c’est un framework for understanding the value of your email program and making smarter marketing decisions.

Key takeaways:

1. Master the basics: Use a consistent formula to calculate ROI y compris all costs
2. Track properly: Implement UTM parameters, connect your analyses, and choose an attribution model
3. Know your benchmarks: Compare your performance to industry standards (36:1-42:1 average)
4. Focus on high-ROI activities: Prioritize automatisations over one-off campagnes
5. Optimize continuously: Test, measure, learn, and improve monthly
6. Avoid common mistakes: Don’t ignore costs, use appropriate attribution windows, and measure consistently

The entreprises that consistently achieve high email marketing ROI share one trait: they treat email as a revenus channel deserving serious measurement and optimization, not an afterthought.

Ready to improve your email marketing ROI? Commencez votre essai gratuit avec Tajo to unify your customer data, track revenus attribution, and build high-performing email campagnes with Brevo.