Omnisend weighs in on the latest email marketing statistics, including open rates, click-through rates and more. Learn how to elevate your email marketing strategy.

Despite the growth and prominence of mobile messengers and chat apps, e-mail is an integral part of daily online life. In 2023, the number of global e-mail users amounted to **** billion and is set to grow to **** billion users in 2027. Global e-mail audiencesIn 2023, approximately *** billion e-mails were sent and received every day worldwide. This figure is projected to increase to over *** billion daily e-mails in 2027. As of July 2022, Apple Mail Privacy accounted for over half of the e-mail opens, while mobile use of e-mails saw a significant decrease in their market shares. Apple MPP e-mail app was the most popular e-mail client, accounting for ** percent of e-mail opens. Gmail, the free e-mail service owned by Google, was ranked second with a ** percent open share. Malicious mailMany online users use e-mails for website and newsletter signups and brace themselves for the inevitable flood of spam and marketing communications. Whereas most unwanted e-mails are annoying yet ultimately benign, consumers are right to be wary of malicious e-mail that can be used to compromise their digital accounts and devices. In 2023, ** percent of fraud reports in the United States related to cases in which victims were contacted via e-mail.

As of August 7, 2025, the United States was the country with the highest number of emails sent daily, with almost ten billion. Germany and India followed, with 8.5 billion and 8.3 billion emails daily, respectively. Overall, Ireland, France, and the United Kingdom each had 8.3 billion emails sent per day. As of December 2024, over 251 million emails were sent worldwide within one minute.

What are the average email marketing results in different countries? Here’s what we’ve found.

How many of your subscribers open your emails within the first two, four, or six hours after sending? Is it the same for clicks? Here, we’re looking at how the recipients’ engagement changed over time after the campaign was sent.

Get the count of unique users that connected to Exchange Online using any email app.

Email marketing is like the Swiss Army knife of digital marketing: versatile, reliable, and still crazy effective in 2025. With 4.6 billion people using email worldwide and billions of messages sent every day, it’s a channel that just keeps delivering. I’ve pulled together the latest email marketing ROI statistics to show you what’s working, from open rates to revenue, plus some practical tips to get more out of your campaigns. And because I coul

According to global data gathered on an e-mail marketing automation platform, automated shipping confirmation e-mails sent by e-commerce players had an open rate of ***** percent in 2024. For automated product abandonment emails, the rate stood at ***** percent.

Most Important Email Marketing Stats

Email marketing boasts an ROI of 4200%, equating to $42 for every $1 invested (Statista).

Revenue from email marketing is projected to hit $17.9 billion by 2027 (Statista).

93% of B2B marketers utilize email for content distribution (CMI).

Mobile devices account for 41% of email opens (HubSpot).

Automated emails drive 320% more revenue than non-automated ones (Campaign Monitor).

Email marketing outpe

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Here, we’ve gathered email marketing benchmarks by industry. You can see how your average email open, click-through, click-to-open, unsubscribe, and spam complaint rates compare against other companies in your industry.

As of the third quarter of 2024, 77.2 percent of male internet users aged between 16 and 24 accessed e-mail services worldwide. Approximately 75.1 percent of female internet users in the same age group reported using electronic mail. The overall usage of e-mail services was slightly higher among men than women in the last examined period.

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During a 2024 survey carried out among marketers in selected countries worldwide, nearly ** percent of respondents stated that their e-mail marketing campaigns had an open rate between ** and ** percent. Another **** percent shared that their open rates were above ** percent.

Do individual phrases in email subject lines correlate with email campaign performance? Here we explore whether individual words have the power to make or break your email campaigns.

This data set includes emails from forty two healthy control participants ranging from 16 to 88 years of age (mean = 45.64) and 9 to 24 years of education (mean = 13.36). Three emails were produced by each participant, each within a time limit of three minutes. Emails were anonymised by replacing names, addresses and professions with different names, addresses and professions consisting of the same number of letters. Otherwise, the emails appear exactly as they were written, with no changes to layout, spaces, words, letter case or punctuation. It is expected that this normative data will be useful to clinicians and researchers working with adults with acquired language disorders in assessing email writing.

Email Thread Summary Dataset

Overview:

The Email Thread Dataset consists of two main files: email_thread_details and email_thread_summaries. These files collectively offer a comprehensive compilation of email thread information alongside human-generated summaries.

Email Thread Details:

Description:

The email_thread_details file provides a detailed perspective on individual email threads, encompassing crucial information such as subject, timestamp, sender, recipients, and the content of the email.

Columns:

• thread_id: A unique identifier for each email thread.
• subject: Subject of the email thread.
• timestamp: Timestamp indicating when the message was sent.
• from: Sender of the email.
• to: List of recipients of the email.
• body: Content of the email message.

Additional Information:

The "to" column is available in both CSV and Pickle (pkl) formats, facilitating convenient access to recipient information as a column of lists of strings.

Email Thread Summaries:

Description:

The email_thread_summaries file contains concise summaries crafted by human annotators for each email thread, offering a high-level overview of the content.

Columns:

• thread_id: A unique identifier for each email thread.
• summary: A concise summary of the email thread.

Dataset Structure:

The dataset is organized into threads and emails. There are a total of 4,167 threads and 21,684 emails, providing a rich source of information for analysis and research purposes.

• Threads: 4,167 threads
• Emails: 21,684 emails

Language:

• Languages: English (en)

Use Cases:

1. Natural Language Processing (NLP) Research:
   • Analyze email thread contents and human-generated summaries for advancements in NLP tasks.
2. Text Summarization Models:
   • Train and evaluate text summarization models using the provided email threads and summaries.
3. Email Analytics:
   • Gain insights into communication patterns, sender-receiver relationships, and content analysis.

File Formats:

• CSV Files:
  • Easily importable into various data analysis tools.
• Pickle (pkl) Files:
  • Facilitates direct reading of the "to" column as a column of lists of strings.

• JSON Files:

  • Offers compatibility with JSON data structures, providing an additional option for users who prefer or require this widely-used format in their analytical workflows.

  • ****JSON File Features Description****

    [
      {
        "thread_id": [unique identifier],
        "subject": "[email thread subject]",
        "timestamp": [timestamp in milliseconds],
        "from": "[sender's name and identifier]",
        "to": [
          "[recipient 1]",
          "[recipient 2]",
          "[recipient 3]",
          ...
        ],
        "body": "[email content]"
      },
      ...
    ]
    

    [
      {
        "thread_id": [unique identifier],
        "summary": "[summary content]"
      },
      ...
    ]
    

****Files Structure:****

- Dataset
 ├── CSV
 │  ├── email_thread_details.csv
 │  └── email_thread_summaries.csv
 ├── Pickle
 │  ├── email_thread_details.pkl
 │  └── email_thread_summaries.pkl
 └── JSON
   ├── email_thread_details.json
   └── email_thread_summaries.json

License:

This dataset is provided under the MIT License.

Disclaimer:

The dataset has been anonymized and sanitized to ensure privacy and confidentiality.

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