Marketing email statistics: trends in 2025

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

B2B marketing email statistics

Magileads statistics in SMTP (B2B Premium)

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

1. By sector & relative performance

(Adjustment of vs your baseline of 40% openings)

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%RGPD emergency
Industry35% – 45%5% – 8%8% – 14%1% – 3%Long Cycle Decision

Notes on email statistics:

  • Your 40% opening rate of Magileads in the top 10% of B2B tools .
  • Tech and Health sectors often exceed 50% thanks to subjects based on AI ( "How [business problem] is resolved by AI?").

2. By audience size & quality quality

(E-mail and performance statistics is linked to Magileads hyper-segmentation)

List sizeType of targetingThe opening rateResponse rateExample of winning copy
50 – 200Strict ICP (ex: CTO SaaS)50% – 60%15% – 25%* »{{First name}}, Does your tech team lose 8 p.m./month on [problem]? »*
200 – 1 000Scoring> 80%40% – 50%10% – 18%* »3 Prospecting errors that cost {{company}} x €/year»*
1 000 – 5 000Broad + A/B Testing35% – 45%8% – 14%“Why 72% of [sector] automatize their prospecting? »»

Optimization :

  • Small lists ( <200 leads ) reach response rates > 20% ultra-personalized messages (eg Linkedin or Inteent Data data).
  • For large lists, use Magileads AI to prioritize hot leads (ex: those who opened 2+ e-mails).

3. By type of sequence

(E-mail statistics A Vec concrete examples for Magileads)

SequenceOpeningsResponsesAppointmentBest Practice
Cold Overseas40% – 50%10% – 15%2% – 4%Subject = business question (ex: "How to reduce your cost of lead?" ).
Relaunch Nudge55% – 65%18% – 25%5% – 8%Add a video CTA (ex: * »Here is how [similar customer] has won +30% appointment» *).
Nurturing45% – 55%12% – 20%3% – 6%Educational content (ex: "Guide: 5 AI tactics for your dirty teams" ).

Real case :

  • 5 e-mails sequence (COLD → Relaunch → Case Study → Limited offer → Break-up) generates 3x more appointment 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 : E-mails with variables (ex: "{}}} has a gap of {{x}} leads/month" ) boost the responses of 20% .

E-mail statistics in Magileads monitoring table (example)

CampaignLeadsOpeningsResponsesAppointmentCA/LEADKING
Tech Q3 (CTO ICP)30058% (174)22% (66)18900€1:7
Pharma relaunch70047% (329)16% (112)241 200€1:10

5 Key optimizations for Magileads

  1. Lift the AI :
    • Use the heat scores to adapt the message (ex: Lead cold → educational, warm lead → demo).
    • Predict the best schedule for sending by prospect (via opening history).
  2. Automate personalization :
    • Example of an efficient subject:
      "{{first name}}, {{company}} already uses [similar solution]? »»
  3. Scaling with quality :
    • For lists> 5,000 leads, test clusters (eg by business size, technos used).

Mass Mailing campaigns email statistics

(Sectoral and Kpi keys)

KpiAverage (B2C)Average (B2B)Benchmark Top 20%Definition
The opening rate15% – 25%20% – 30%30% – 50%% of recipients having 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 issued (address errors, anti-spam filters).
Unsubscribe rate0.1% – 0.5%0.1% – 0.3%< 0.1%% of recipients are unon after the campaign.
Income by e-mail (RPE)0.10€ – 1.50€2€ – 10€> € 5 (B2C) /> € 20 (B2B)Average income generated by e-mail sent.
Complaint rate (spam)< 0.1%< 0.05%0%% of recipients reporting email as spam.
Mobile opening rates40% – 60%30% – 50%> 60%% openings on smartphones/tablets.

Factors influencing the performance of e-mail statistics

  1. E-mail subject :
    • 47% of users open an email based on the subject (Source: HubSpot).
    • Optimal length: 6 to 10 words.
  2. Time :
    • B2C: Best results in the morning (8 a.m. to 10 p.m.) or in the evening (6 p.m.-8 p.m.).
    • B2B: working days (10 a.m. to 12 p.m. or 2 p.m. to 4 p.m.).
  3. Segmentation :
    • Segmented campaigns generate 30% more openings (Mailchimp).
  4. Frequency :
    • Send 1 to 2 emails/week reduces unsubscribing.

Example of a monthly monitoring board

CampaignEnvoysOpenings (%)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 monitoring)

Email marketing performance in terms of ROI

Comparison with other marketing channels

Statistics E-mail of engagement and conversion

Open and click rates

E-mail statistics: trends in 2025
E-mail statistics: trends in 2025

Impact on sales and loyalty

Personalization and segmentation

Importance of personalization in B2B

Effective segmentation techniques

Examples of successful personalized campaigns

Successful personalized campaigns show the importance of this approach. For example, a B2B company used personalization to increase sales by 20 %. It has segmented its customers by sector and sent specific offers to each group. This strategy has strengthened commitment and led to higher conversions. E-mail statistics confirm that personalization is a powerful lever to achieve your goals.

Tools and technologies for personalization

Advanced Segmentation Software

Integration with CRMs

Automation and AI

E-mail statistics
E-mail 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.

Role of automation in campaign effectiveness

Common automation scenarios

Benefits 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

Changing expectations of B2B customers

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

Growing demand for interactive content

Importance of transparency and confidentiality

Innovative features of Magileads

Magileads statistics
Marketing email statistics: trends in 2025

AI integration for advanced personalization

Multi-channel campaign automation

👥 User opinion: Field returns

Marie D.-B2B marketing manager (SaaS)
“In 2025, hyper-personalization is no longer an option. With generative AI, our emails now incorporate dynamic elements such as the last Post LinkedIn of the prospect or a rapid analysis of their website. The engagement rate has exploded, but the bar is higher: expectations in terms of relevance are extreme. »»

Thomas L.-founder of an e-commerce agency
"The" Zero-Party Data "(data voluntarily shared by customers) changed the situation. Our campaigns are less based on tracking and more on interactive questionnaires upstream. Result ? E-mails so targeted that customers thank us for relevance ... it's a game-chainger. »»

Léa P.-CRM (Luxe) project chef
“The Z generation no longer responds to classic emails. We put on hybrid formats: mini-games, "swipeable" videos, and even augmented reality e-mails (e.g. try a 3D product directly in the mailbox). The commitment is shorter, but more intense. »»


🎤 Expert analyzes: what will work in 2025

Pr. Alexandre Roux-Marketing Automation specialist
"E-mail in 2025, it is a" phygital "channel. The best campaigns merge digital (AI, interactivity) and physics (QR codes leading to personalized goodies). The limit between email and customer experience disappears. »»

Dr. Fatima K.-User behavior researcher
"Human brain adapts to AI: prospects immediately detect e-mails" too "automated. The key? The calculated imperfection. A poorly placed emoji, a slightly familiar turn ... These details refer an illusion of crucial humanity. »»

Nicolas M.-Ex-Google, founder of an AI Martch
"The messaging algorithms (Gmail, Outlook) now penalize" too optimized "emails. In 2025, you have to write like a human, but diffuse like a machine. Paradoxical? Yes. Effective ? Absolutely. »»

Sarah B.-Customer experience consultant
"The future is" limited "e-mail. Like stories, some messages are self -destructing after 24 hours to create emergency. We already see it in the B2C Premium (Voyage, Tech). »»


🚀 Innovative concrete cases

  • Laurent, CEO of a Scale-Up : *"We use" multiple choice "emails (ex:" What is your challenge n ° 1? A. Acquisition B. retention "). The answers feed our CRM in real time and trigger tailor -made routes. »*
  • Elodie, Growth Manager : *"Our emails include micropaying surveys (ex:" Answer 1 question = € 1 on your next order "). The click rate has doubled. »*

💡 The word of the end

*"In 2025, the email is no longer a channel, but an experienced platform. Those who succeed will be those who dare to blur the boundaries between conversation, game and transaction. »*
-Marc T., manager of an Award-Winning agency

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