Machine Learning is becoming quite the infamous concept in the digital world. It has laid its siege in almost every battleground of modern day marketing. From social media to e-commerce and other online practices, machine learning has interactively taken a step ahead in almost every digital landscape. As the concept of Machine Learning is becoming more common, we are seeing rapid transformation in how things are done. Even though the technology is relatively in its infancy, it has taken the Internet by storm.

Today, many businesses have leveraged the power of Machine Learning. They have introduced valuable insights and are providing detailed information on relatively great many things. Businesses which are leveraging the power of machine learning are moving up the competition. In the wake of all this, an average mind often ponders how digital marketing must be transforming. Here are some incredible ways how machine learning is transforming the very scope of the online digital marketing services around the world. So without further ado, let’s check out how ML helps.

What is Machine Learning?

To clearly understand the concept, Machine Learning is basically a subset of Artificial Intelligence. When you feed information to an Artificially Intelligent machine, it starts analyzing the data and develops an algorithm to refine the information and provide valuable results. With the passage of time as more and more data is fed into the machine, the machine starts learning more new information and keeps on refining its algorithm to provide more valuable insights.

As a result, the machine becomes intelligent and starts creating more effective results.

How is Machine Learning Contributing to Digital Marketing?

Machine Learning Can Help Personalize Content

People enjoy being in communication with brands which feels as if the brand is directly communicating with them. It’s what personalization is all about. According to Sales Force, almost 52% of customers choose to shift their brands just because they are unable to feel that connection. Thanks to the ultimate power of machine learning, personalization delivers the best customer engagements. One of the best examples of personalization is best displayed by Netflix.

Every time you watch a show on Netflix and revisit the application, the platform will show you a variety of similar shows/movies which are personalized to provide you the right viewing experience.

For businesses, personalization is all about sending the right message at the right time to consumers. Such kind of personalization is best observed on platforms like Amazon. On Amazon, you come across a recommended section which provides you a detailed insight on a variety of products that are closely related to your previous purchase. Do you know that 35% of Amazon’s revenue comes from personalized recommended products? Here’s where Machine Learning makes quite an impact.

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Machine Learning can Help with Creating Optimized Content

Certain words have a more promising effect on the visitors compared to other words. With Machine learning, we now have software that can help you create powerful punchlines for emails and headers so they can easily grasp the attention of the audience. At the same time, they can also leverage the right keywords and also help the content rank high on relevant searches. They can create perfect email subject lines, Facebook posts, community posts, website headers, advertising punch-lines and more. Machine Learning algorithms normally use an A/B test to measure which content is performing better in comparison to the rest. Once it gets the gist of it, the algorithm then keeps refining the content making it more optimized and get more attention at the same time rank at the top on Google.

The best example of such an algorithm is Google's algorithm itself working at the backend.

We are now observing that Google’s ability to read the user’s search intent has technically become much better in comparison to once it was. It can now make better understanding of things and deliver more effective results to users searching up queries using Google on the Internet.