How Machine Learning Can Help You Get To Know Customers Better


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How Machine Learning Can Help You Get To Know Customers Better

Machine Learning

Customer experience and service are usually the primary concern of any business. Suppose you’re looking to build a profitable and successful business, focus your attention on providing a top-tier customer experience. It can only happen if you understand your customers better.

Today, businesses have gone out of their way to learn and understand their target customers. One of the most efficient ways to learn about your target customers is through technology such as machine learning. This technology can find automated solutions such as creating targeted ads. It’s also utilized to collect customer feedback, learn their pain points, improve them, and enhance sales.

Many businesses have jumped on this bandwagon, and they’re already reaping its benefits. However, others are still trying to figure out how to use this technology to understand their customers. If you fall in the latter category, this article is for you. It will guide you in using machine learning to know your customers better. Keep reading to learn more.

Use Machine Learning To Decode Customer Behavior

One of the best ways to understand your customers better is by studying their behavior and decoding what it means. It can be quite a lengthy process when done manually, and it may not yield accurate results due to human error. You, therefore, want to use machine learning. Many sites provide this service. You can find most of them online, like and other similar platforms.

Decoding your customer’s behavior using machine learning starts with collecting data on your customer. For example, suppose the technology gathers data that 80% of the people that visit your website interact with content meant for a young demographic. In that case, it means that a great portion of your customers is young.

You’re better placed to structure your future marketing campaigns to appeal to the younger demographic with that insight. That way, you’re more likely to have more conversions.

Use Machine Learning For Segmentation

Artificial Intelligence (AI) and machine learning all depend on data. In today’s world, data is king. However, with time customer data becomes large and complex. It can be pretty challenging to draw substantive insights from such data. Therefore, if you’re looking to learn and understand your customers accurately and better, you want to break down the data into segments that can be easily analyzed.

You can segment customer’s data based on:

  • Product preference
  • Demographic
  • Purchasing habits

The best part is that machine learning does this segmentation for you. The technology comes up with segments based on the algorithm. It then automatically places all your customers under the segment they fit. This process is automated so that once the customer’s data ticks several boxes, the customer is automatically placed under a given segment.

Once every customer is placed under a segment, the technology analyses the data and gets you the necessary insights that help you understand your customers better.

Machine learning segmentation helps you identify segments that were otherwise not readily visible to humans. For example, it can be hard to tell if your customer accesses your website through desktop or mobile. However, machine learning can segment customer data to know where the largest traffic of your data is coming from, either through mobile or desktop. You can further tell that more people accessing your platform through mobile end up making purchases than those who use desktop. Such results may bring to attention the customers’ need to have a better user experience (UX) on mobile that redirects to making a purchase.

Learn About Your Customers’ Needs

So far, you’ve seen that in the first two steps, the results are always noticing that your customer would use better services, such as an easy-to-use mobile user interface that encourages them to make orders. It is just one of the ways you can use machine learning to identify your customers’ needs.

Another way is by using bots to chat with your customers. You can have pop-up questions asked by a machine learning bot on how the customer enjoys using your website and services. Through the client feedback, you learn about their needs and how to meet them.

Alternatively, you can have to follow up emails with customers who willingly give out their emails. Use emails to find out some of the customer’s needs that aren’t already met so that you can meet them.

Use Machine Learning For Predictive Analytics

This step involves using machine learning to study patterns in your customer’s data, analyze it and make useful predictions. The technology can study the patterns of the type of content your target customer likes to interact with. From that pattern, you may learn what appeals to them and use it to make predictions of content that would equally catch their interest. For example, if you are an e-commerce platform that sells to households and the patterns show that many of your target customers like bain content on social media, the prediction is that the customers will need baking recipes soon enough. Therefore, your work will be putting out baking recipes content on your website. It may also influence them to purchase some baking equipment to try out the recipes.

Use Machine Learning To Determine Customer’s Intent

The four steps detailed above touch on understanding your customer’s pain point. However, what if there’s a way to figure out your customer’s pain point and needs even before the data analytics shows it. There’s no better way to understand your customers than by solving their prospect problems.

You might be wondering how. For example, say your business deals in providing internet services. You receive an inquiry about a lack of connection in a specific geographical location. When another complaint comes, machine learning technology can quickly study the patterns and develop quicker solutions for any other complaints coming from that location.

It makes the customer experience more friendly and easier. Machine learning has quickly broken down what your customers’ needs are based on a geographic location, and by doing so, you have understood your customers better.

Wrapping It Up

Every company is in the business of making money. The only way to generate profits is by taking care of your customers first and understanding them better. In this fast-paced world, businesses are taking any opportunity to offer the best customer service and experience. One of the leading ways is through machine learning. From the steps detailed above, it’s clear that you are missing out if you aren’t using machine learning to understand your customers better. Start today. It’s never too late.

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About Author

Catherine Waddell United States
Catherine is a Digital Marketing Expert and Founder of She has been working on her own blogging projects which provide solutions to users in the field of Technology, Internet Knowledge, and "How to " based content. As an experienced Digital Marketer, She believes Content is everything online.

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