Mastering Email Marketing: Avoiding Gmail Clipping with Responsive Design and the MJML Framework

Email marketing is a crucial tool for businesses to build relationships with existing customers, connect with new prospects, and increase their brand visibility. With an estimated 3.9 billion active email users globally, it’s no surprise that email marketing has become a vital part of any digital marketing strategy. However, one of the biggest challenges for marketers is creating emails that look great, are functional, and don’t get cut off by email clients. In this article, we’ll discuss email clipping, the MJML framework, and how to use it to streamline your email marketing.

Email Clipping

Have you ever received an email with an incomplete message or missing images? This is a common problem known as email clipping. Email clipping happens when the design of your email makes it too large. This means that the email client, such as Gmail or Outlook, will show only a portion of the message or images, cutting off the rest of the content.

Gmail is known to clip emails that exceed 100kb in size on desktops. This size limit is put in place to ensure that emails don’t take too long to load, which can lead to a frustrating user experience.

MJML framework

To combat the issue of email clipping, some businesses have turned to the Mailjet Markup Language, or MJML. MJML is a responsive design framework for email composition that was created by Mailjet to make it easy for developers to create responsive email templates.

MJML is essentially a fancy term for a code that streamlines the email design process. It’s a framework that allows marketers to create responsive email templates quickly and efficiently. By using the MJML framework, businesses can ensure that their emails are automatically optimized for all devices.

Advantages of Using MJML

One of the benefits of using the MJML framework is that it allows for automatically responsive emails. This means that no matter what device or email client a user is using, the email will adjust to fit the screen perfectly. This ensures that users have the best possible experience when viewing the email, which can increase engagement and ultimately drive more conversions.

Another advantage of using MJML is that there’s no need for last-minute tweaks or deciphering of code. MJML simplifies the email design process, meaning marketers can spend less time creating emails and more time focusing on other aspects of their marketing strategy.

Sendlane’s email builder

If you’re looking for an email marketing platform that uses the MJML framework, Sendlane may be the tool for you. Sendlane’s email builder has the MJML framework pre-baked right into the platform. This means that there’s no need for businesses to switch to a new platform or hire a developer to create responsive email templates.

Sendlane’s email builder has easy drag-and-drop functionality that marketers know and love, with MJML at its core. This means that businesses can quickly create and send professional-looking emails that will work seamlessly on all devices.

Email marketing is a powerful tool for businesses, but it’s essential to make sure that emails are visually appealing, functional, and not cut short by email clients. The MJML framework is an excellent way to create responsive email templates that adapt to any device, making the user experience smooth and straightforward. By switching to a platform like Sendlane that already utilizes the MJML framework, businesses can streamline their email marketing efforts and focus on what they do best: growing their brand and driving sales. Say goodbye to clipped emails and hello to engaged subscribers with Sendlane’s user-friendly email builder.

Explore more

Is the Mistic Backdoor Hiding in Your Security Tools?

Introduction The emergence of the Mistic backdoor represents a sophisticated advancement in the arsenal of modern cybercriminals, specifically those operating within the niche of Initial Access Brokering (IAB). This malicious software, also identified by some security researchers as MLTBackdoor, has been actively infiltrating corporate environments throughout the first half of 2026. Its primary strength lies in its ability to camouflage

Is the Redmi 17C the New King of Budget Smartphones?

Dominic Jainy is a seasoned IT professional with a deep understanding of how hardware evolution impacts the budget mobile market. Today, he breaks down Xiaomi’s latest strategic move with the Redmi 17C, a device that surprisingly leaps over a generation to deliver high-refresh-rate displays and massive battery life to the entry-level segment. We explore the balance between essential utility features,

How Can PowerTool Speed Up Business Central Data Migrations?

Modern enterprises frequently encounter significant friction during ERP transitions because traditional data migration methods often fail to accommodate the sheer volume and complexity of contemporary datasets. In 2026, the demand for agility within Microsoft Dynamics 365 Business Central has reached a point where standard configuration packages, while functional for small tasks, often act as a bottleneck for larger implementations. The

How to Move Beyond the Portal to a True Developer Platform?

Dominic Jainy stands at the forefront of the modern cloud-native movement, possessing a deep technical mastery of artificial intelligence, machine learning, and blockchain architectures. With years of experience navigating the complexities of large-scale IT infrastructures, he has become a leading voice in the evolution of platform engineering. His perspective is shaped by the practical realities of moving beyond simple automation

Will AI Token Costs Soon Surpass Developer Salaries?

Recent financial projections indicate that the cost of maintaining high-frequency artificial intelligence interactions is rapidly approaching the median annual compensation of experienced software engineers in the global market. As the software development industry undergoes a radical transformation, the traditional overhead associated with human labor is being challenged by the sheer volume of data processed through large language models. This shift