Marketing email statistics: trends in 2025

E-mail and trend statistics B2B in 2025
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E-mail and trend statistics B2B in 2025
E-mail and trend statistics B2B in 2025

B2B email marketing statistics

Magileads SMTP Statistics (B2B Premium)

Based on an average open rate of 40% (thanks to AI, personalization and high-precision targeting)

1. By Sector & Relative Performance

(Adjusting stats vs. your baseline of 40% open rate)

SectorThe opening rateClick-through rateResponse rateConversion rate (Appointment)Key Factor
Tech/SaaS45% – 55%8% – 12%12% – 20%3% – 6%Product customization
Finance38% – 48%6% – 9%10% – 16%2% – 4%Strict compliance
Health/Pharma42% – 52%7% – 11%11% – 18%2.5% – 5%GDPR Emergency
Industry35% – 45%5% – 8%8% – 14%1% – 3%Long decision cycle

Notes on email statistics:

  • Your 40% open rate places Magileads in the top 10% of B2B tools .
  • Tech and Health sectors often exceed 50% thanks to topics based on AI ( “How is [Business Problem] solved by AI?”).

2. By Audience Size & Lead Quality

(Email statistics and your performance are linked to Magileads hyper-segmentation)

Size ListTargeting TypeThe opening rateResponse RateExample of a Winning Copy
50 – 200Strict ICP (e.g., CTO SaaS)50% – 60%15% – 25%“[First name], does your tech team lose 20 hours/month on [problem]?”
200 – 1 000Scoring > 80%40% – 50%10% – 18%*“3 prospecting mistakes that cost {{Company}} X€/year”*
1 000 – 5 000Broad + A/B Testing35% – 45%8% – 14%“Why do 72% of [sectors] automate their prospecting?”

Optimization :

  • Small lists ( < 200 leads ) achieve response rates > 20% ultra-personalized messages (e.g., LinkedIn data integration or intent data).
  • For large lists, use Magileads' AI to prioritize hot leads (e.g., those who have opened 2+ emails).

3. By Sequence Type

(Email statistics with concrete examples for Magileads)

SequenceOpeningsAnswersAppointmentBest Practice
Cold Outreach40% – 50%10% – 15%2% – 4%Subject = Business question (e.g., “How to reduce your lead cost?” ).
Nudge Reboot55% – 65%18% – 25%5% – 8%Add a video CTA (e.g., *“Here’s how [Similar Client] gained +30% more appointments”*).
Nutrition45% – 55%12% – 20%3% – 6%Educational content (e.g., “Guide: 5 AI tactics for your sales teams” ).

Real Case Study :

  • 5-email sequence (cold → follow-up → case study → limited offer → break-up) generates 3x more appointments than a classic sequence.

4. Benchmarks vs Market (Magileads in Premium)

KpiAverage B2BMagileads (Top customers)Gain
The opening rate20% – 30%40% – 60%+75%
Response rate5% – 10%12% – 25%+150%
Conversion rate1% – 2%3% – 8%+300%
CA per campaign (1k leads)5K € - 10K €15K € - 30K €+200%

Secrets :

  • CRM integration : Campaigns linked to Salesforce/HubSpot have rates +15% higher .
  • Dynamic Content : Emails with variables (e.g., “{{Company}} has a gap of {{X}} leads/month” ) boost responses by 20% .

Email statistics in a Magileads tracking table (Example)

CampaignLeadsOpeningsAnswersAppointmentCA/LeadKING
Tech Q3 (ICP CTO)30058% (174)22% (66)18900€1:7
Pharma Recovery70047% (329)16% (112)241 200€1:10

5 Key Optimizations for Magileads

  1. Raising AI :
    • Use heat scores to adapt the message (e.g., cold lead → educational, warm lead → demo).
    • Predict the best sending time per prospect (via open history).
  2. Automate Personalization :
    • Example of a high-performing subject line:
      “{{First Name}}, {{Company}} already uses [similar solution]?”
  3. Scaling with Quality :
    • For lists > 5,000 leads, test clusters (e.g., by company size, technologies used).

Email statistics for Mass Mailing Campaigns

(Sector averages and key KPIs)

KpiAverage (B2C)Average (B2B)Benchmark Top 20%Definition
The opening rate15% – 25%20% – 30%30% – 50%% of recipients who opened the email.
Click-Through Rate (CTR)1% – 5%2% – 6%5% – 10%% of recipients who clicked on at least 1 link.
Conversion rate1% – 3%1% – 4%5% – 10%% of clicks leading to the desired action (purchase, registration, etc.).
Rebound rate1% – 5%2% – 7%< 1%% of emails not delivered (address errors, anti-spam filters).
Unsubscribe rate0.1% – 0.5%0.1% – 0.3%< 0.1%Percentage of recipients unsubscribing after the campaign.
Revenue via email (RPE)0.10€ – 1.50€2€ – 10€> €5 (B2C) / > €20 (B2B)Average revenue generated per email sent.
Complaint rate (Spam)< 0.1%< 0.05%0%% of recipients reporting the email as spam.
Mobile open rates40% – 60%30% – 50%> 60%% of opens on smartphones/tablets.

Email Statistics Performance

  1. Email subject :
    • 47% of users open an email based on the subject (source: HubSpot).
    • Optimal length: 6 to 10 words.
  2. Sending time :
    • B2C: Best results in the morning (8am-10am) or in the evening (6pm-8pm).
    • B2B: Working days (10am-12pm or 2pm-4pm).
  3. Segmentation :
    • Segmented campaigns generate 30% more opens (Mailchimp).
  4. Frequency :
    • Sending 1 to 2 emails per week reduces unsubscribes.

Example of a Monthly Tracking Table

CampaignSentOpenings (%)Clicks (%)Conversions (%)Rebounds (%)Income
May Newsletter10 00024%3.2%1.8%2.1%1 200€
Summer Promotion8 00028%4.5%2.5%1.5%2 500€

Tools to Analyze These Email

  • Mailchimp / Klaviyo (e-commerce)
  • HubSpot (B2B)
  • Google Analytics (conversion tracking)

Email marketing performance in terms of ROI

Comparison with other marketing channels

Email engagement and conversion statistics

Open and click rates

Email statistics: trends in 2025
Email statistics: trends in 2025

Impact on sales and customer loyalty

Personalization and segmentation

The importance of personalization in B2B

Effective segmentation techniques

Examples of successful personalized campaigns

Successful personalized campaigns demonstrate the importance of this approach. For example, a B2B company used personalization to increase sales by 20%. It segmented its customers by industry and sent targeted offers to each group. This strategy boosted engagement and led to higher conversion rates. Email analytics confirm that personalization is a powerful tool for achieving your goals.

Tools and technologies for personalization

Advanced segmentation software

Integration with CRMs

Automation and AI

email statistics
Email statistics

Automation and artificial intelligence (AI) are transforming the email marketing landscape. You need to understand how these technologies can optimize your campaigns and improve your results.

The role of automation in campaign effectiveness

Common automation scenarios

Advantages in terms of saving time and resources

Using AI to improve results

Predictive analysis and recommendations

Examples of AI in email marketing

Future trends in email statistics

Future trends in B2B marketing - Magileads

Evolving expectations of B2B customers

B2B customer expectations are evolving rapidly. You need to adapt to these changes to remain competitive. Here are two key trends to watch:

Growing demand for interactive content

The importance of transparency and confidentiality

Innovative features of Magileads

Magileads statistics

AI integration for advanced personalization

Automation of multichannel campaigns

👥 User Reviews: Field Feedback

Marie D. – B2B Marketing Manager (SaaS)
“By 2025, hyper-personalization is no longer optional. With generative AI, our emails now incorporate dynamic elements such as the prospect's latest LinkedIn post or a quick analysis of their website. Engagement rates have skyrocketed, but the bar is higher: expectations for relevance are extremely high.”

Thomas L. – Founder of an e-commerce agency
: “Zero-party data (data voluntarily shared by customers) has been a game changer. Our campaigns rely less on tracking and more on interactive questionnaires beforehand. The result? Emails so targeted that customers thank us for their relevance… It’s a game changer.”

Léa P. – CRM Project Manager (Luxury)
“Generation Z no longer responds to traditional emails. We're focusing on hybrid formats: mini-games, swipeable videos, and even augmented reality emails (e.g., trying on a product in 3D directly in the inbox). Engagement is shorter, but more intense.”


🎤 Expert Analysis: What Will Work in 2025

Professor Alexandre Roux – Marketing Automation Specialist
: “Email in 2025 will be a ‘phygital’ channel. The best campaigns will merge digital (AI, interactivity) and physical (QR codes leading to personalized goodies). The line between email and customer experience will disappear.”

Dr. Fatima K. – User Behavior Researcher:
“The human brain adapts to AI: prospects immediately detect emails that are ‘too’ automated. The key? Calculated imperfection. A misplaced emoji, a slightly informal turn of phrase… These details convey a crucial illusion of humanity.”

Nicolas M. – Former Google employee, Founder of an AI Martech company
: “Email algorithms (Gmail, Outlook) now penalize emails that are ‘too optimized.’ By 2025, you have to write like a human, but send like a machine. Paradoxical? Yes. Effective? Absolutely.”

Sarah B. – Customer Experience Consultant
: “The future is the ‘time-limited’ email. Like stories, some messages self-destruct after 24 hours to create a sense of urgency. We’re already seeing this in premium B2C (travel, tech).”


🚀 Innovative Case Studies

  • Laurent, CEO of a scale-up : *“We use multiple-choice emails (e.g., “What is your number one challenge? A. Acquisition B. Retention”). The responses feed into our CRM in real time and trigger customized customer journeys.”*
  • Elodie, Growth Manager : *“Our emails include micro-pay surveys (e.g., “Answer 1 question = €1 off your next order”). The click-through rate has doubled.”*

💡 The Final Word

“By 2025, email will no longer be a channel, but an experience platform. Those who succeed will be those who dare to blur the lines between conversation, gaming, and transaction.”
Marc T., Head of an award-winning agency

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