GDPR and It’s Impacts on Email Marketing

Introduction

As we all know, the common practice for marketers is to send the mass emails to all of their potential customers. These potential customers may have opted for the subscription recently or they might have subscribed some time back or in some cases they might not have subscribed. As of date the email marketers could send the emails to all such potential customers. This is clear violation of the privacy of an individual. But from this 25th May, it is about to change. Now the marketers will need to have the Written Consent of the data subjects (person(s) to whom email is sent). If this compliance is not adhered by, then marketers stand to face hefty Penalties that could be as high as 20 million euros or 4% of annual turnover of the company.
Before understanding the extent to which GDPR will affect the email marketers emailing to the European Union (EU) citizens, we must understand what GDPR is first.

What is GDPR? Why is GDPR being introduced?

The General Data Protection Regulation commonly known as GDPR comes into effect from 25th May 2018 and all the concerned marketers need to change their strategy for email marketing.

Comments

Post a Comment

Popular posts from this blog

Artificial Intelligence Predictions for Every Business to know in 2019

Image
Artificial Intelligence abbreviated as AI is the self-performance of machines and computers without any human interference which means it is the ability of machine’s intelligence to manage tasks on their own. What is the Future of Artificial Intelligence ? It is presently blooming in all areas of the global market, be it medicines, education or technology machines are replacing human workforce everywhere. But still, it is said to be in the infant stage as some states it will replace humans completely in coming years while others are yet not fully aware of the concept. The answer to this still lies between these two predictions. There are assumptions for Artificial Intelligence that You Must Know to Make 2019 big for Your Business. Let us have a look into how will the year be for Artificial Intelligence: Many Businesses use chatbots for faster services, replacing human resources, but 2019 will introduce “ Virtual Agents ” a real big thing for machine learning as now custo...
Read more

Harnessing Tensor Processing Units: Transforming the Landscape of Machine Learning

Image
  Tensor Processing Units (TPUs) are specialized hardware accelerators designed by Google to enhance the performance of machine learning tasks. Unlike traditional processors, TPUs are application-specific integrated circuits (ASICs) optimized for tensor operations, which are fundamental to deep learning algorithms. This unique architecture allows TPUs to excel in processing large volumes of data and executing complex neural networks efficiently. What Makes TPUs Unique? TPUs were developed to meet the growing computational demands of machine learning, particularly for tasks involving matrix multiplications and other tensor operations. Their design is tailored specifically for these mathematical operations, allowing them to outperform general-purpose CPUs and even GPUs in certain AI workloads. While GPUs were initially created for graphics processing and later adapted for AI, TPUs are built from the ground up for machine learning tasks, making them more efficient in this domain. ...
Read more

Agile v/s Scrum? Things you need to know

Introduction The first decision which you will have to make initializing a project is the project methodology that will be implemented. The frameworks that are generally implemented vary from Kanban to Waterfall to Scrum to Agile. They follow different paths and based on your requirements you have to decide which methodology will be applied. Here we will be discussing the difference between Agile and Scrum. With the dynamic changes in the customer demands, requirements of the projects, the companies are changing their approach from traditional Waterfall Methodology to Agile Methodology. Agile Methodology An incremental, iterative approach which enables the changing requirements based on feedback from end users instead of having in-depth planning right from the beginning. It can be implemented with  Scrum , Extreme Programming (XP), and Rational Unified Process (RUP). As Agile is more flexible Methodology, it lets the teams to bypass the sequential model and finish the ...
Read more