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Key Benefits of Machine Learning in Marketing

For businesses today, being able to anticipate customer behaviour is key to growth.

With all the buzz around Big Data, Artificial Intelligence, and Machine Learning (ML), we probably all have a basic understanding of what they are.


Do you know what business-related problems Machine Learning can solve, or the value it can add to your business?

In this article, we’ll explore how Machine Learning can help companies improve their marketing efforts.

What is Machine Learning?

Machine Learning (ML) is a subset of Artificial Intelligence wherein a system or machine teaches itself to find better solutions to a task by emulating human intelligence.

In order to carry out effective machine learning, a system needs ample data to learn from and past experiences it can emulate.

So, you need both a lot of time and a large amount of data sets.

Machine Learning is typically used in conjunction with Big Data.

What are the Advantages of Machine Learning?

There are many advantages of Machine Learning, many of which have not been fully explored yet.

Generally speaking, effective machine learning makes automation more reliable and widely used, thus saving human effort and resources.

In marketing, Machine Learning can elevate a brand’s marketing efforts even on a small budget. 

It can also help to execute marketing campaigns without needing a large team.

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But most importantly, Machine Learning can enable a marketer to focus their brainpower and creativity on growth and innovation while the system capable of machine learning can take care of trivial, repetitive tasks.

Some examples of the things Machine Learning can provide are quick and efficient customer service, audience personalisation, better marketing automation, and optimised advertising.

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How is Machine Learning Used in Digital Marketing?

Machine Learning has many applications in digital marketing.

It can be used in the following digital marketing channels: content marketing, content management, social media, PPC, SEO, link building, and chatbots.

Let’s look into all of these channels in more detail:

How is Machine Learning Used in Content Marketing?

You can only use content to generate interest in your products or services if your content is relevant and helpful to the target audience.

Content creation involves processes like conducting keyword research, following SEO best practices, and tracking consumer trends.

Machine Learning tools can simplify these processes by analysing large amounts of data in a short time period and generating actionable insights.

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For example, the CliClap tool provides personalised content recommendations to website visitors, thereby making it more likely for a visitor to turn into a potential buyer or lead.

How is Machine Learning Used in Content Management?

Mere lead generation via content marketing is not enough.

You also need to keep your audience engaged throughout every stage of the buyer’s journey, satisfy existing customers, and raise brand awareness.

Read more about how to use attribution models to prove the value of your content at all buyer stages.

Trying to manage it all can be very time-consuming – especially if you want to grow your business and scale your marketing quicker.

With the help of ML tools, content management is effective even if it is implemented by a small team.

How is Machine Learning Used in Social Media?

Machine Learning consulting has the power to enhance social media marketing – something we need in today’s age of short attention spans.

Machine Learning tools can help you target people who need or want what you are selling. They let you know the opinions, questions, and requirements of your social media audience by analyzing their social media comments and likes.

Given that social media posts are dynamic and ever-growing in nature, there is a real need to utilize Machine Learning in marketing today.

How is Machine Learning Used in PPC?

Machine Learning supercharges pay-per-click advertising (PPC).

The right tools can save you from the tedious task of manually analysing data sets to measure and forecast the performance of your PPC campaigns.

Using the right tools can automatically give you relevant information like sales, conversions, price optimization, and micro-moment marketing.

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Thus, your PPC campaigns can be more effective with significantly less effort.

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How is Machine Learning Used in SEO?

If your great content doesn’t rank on Search Engine Result Pages (SERPs) and you don’t have an advertising budget to promote it, it is virtually invisible.

To make your content more visible on search engines, you need to target high-volume keywords that are easy to rank.

Machine Learning tools can help you automate keyword research by analysing your SEO competitors.

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It can also find competitor content gaps, areas of content improvements, and link-building opportunities.

How is Machine Learning Used in Chatbot Marketing?

Chatbots are becoming increasingly popular, and for a good reason – they help to provide reliable and pocket-friendly 24/7 customer support.

The best part?

Your customers get the best user experience because chatbots use Natural Language Processing (NLP). NLP enables chatbots to correctly process what the customer is typing and have a natural conversation with them.

The more often a chatbot is used, the better it gets at meeting and even exceeding user expectations.

How can we help?

We can implement the right technology and analytics for your business, set up tracking tags across all online activity and create a content strategy for all customer touchpoints that drive the prospects towards the final conversion.

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