How Data Enhances 13 Marketing Approaches

Marketing is the science of using data. This definition is different from the definitions presented so far regarding marketing, but the progress of science has changed all the concepts.

In marketing, you need to communicate better with your customers and respond to their needs than your competitors (the standard definition of marketing). You need to know your customers more and better, their interests, tastes, and opinion; review how you treat them and constantly offer them new and personalized offers so that they are satisfied with you and

So how is this crucial achieved? Except through access to data and information? How can you review and optimize your decisions if you don't have access to the data? This action is easy, especially in the digital world where trillions of data are generated daily.

Therefore, we must constantly optimize our marketing campaign by accessing and using data. Now, let's explore how data is utilized in marketing. In this article, I explain the application of data in 13 types of marketing. Keep with me.

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1. ? ? Account-Based Marketing

In Account-Based Marketing, you use your customers' business account information to provide them with personalized shopping experiences.

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In this type of marketing, you do not target the audience in mass. Instead, you only pay attention to unique customers who will buy from you. Then you focus the marketing processes on meeting customers' needs and responding to their requests.

In this marketing, you prevent budget waste and increase the return on investment rate.

Now, what is the application of data in Account-Based Marketing? Data is the heart of data-driven Account-Based marketing.?

First, you must receive user behavioral information from Data providers such as Google, Bing, and many advertising companies. In the next step, you must analyze data using artificial intelligence and data science. Now you have valuable information about your customer's behavior, needs, and preferences and can provide them with personalized messages.

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2.? ? ? Algorithmic Marketing

Algorithmic marketing is an attractive type of marketing developed using data science. Let's say you bought from Amazon. In the first level, information such as the type of purchase, price, time, and place are specified. But is your behavior the same in subsequent purchases? Is your behavior predictable in future purchases? We must answer yes.

Artificial intelligence algorithms easily accomplish this using data science. For example, Google uses data about past searches, purchases, website history, etc., to predict our following behavior, which is algorithm marketing. It is evident that algorithms cannot do anything special without previous data, so data is the core of this type of marketing.

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3.? ? ? Analytical Marketing

Suppose you have a car buying and selling site and plan to launch new car sales campaigns. What is the first thing you do when designing a new campaign? Expert campaign managers go to Google Analytics in the first step. They examine past campaigns, goals created, attracted traffic, channels, customer preferences, and the type of purchases. Then they predict the future behavior of customers using trend analysis tools. This is analytical marketing. Can you analyze customer behavior if you don't have access to the data? Absolutely not. Therefore, data is the main element of your decision-making in Analytical marketing.

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4.? ? ? B2B Marketing

B2B marketing is a well-known and common type of marketing that targets companies. B2B marketing usually takes place on a macro level, and due to group decision-making, no specific person is considered in B2B interactions.

Data plays a central role in this type of marketing. Knowing where companies usually buy from, who their contractors are, the volume of their purchases, features for the kind of products they buy, the price range in their transactions, etc., all help to improve your decision-making. So we should still focus on data because it plays a crucial role in our decision-making process.

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5. ? ? Behavioral Marketing

Look at professional businesses, from online sales platforms such as Amazon and eBay to social networks for content sales such as YouTube and Instagram, all of which send personalized messages to their audiences.?

They understand your behavior and offer you what you like. If they didn't have access to your data, is it possible to predict your behavior? No.

So behavioral marketing, which is based on the personalization of messages, is all data applications in marketing science that digital tools have made very easy.

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6.? ? ? Call Center Marketing

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The exciting part of data application in marketing science occurs in call centers. Data science is very prominent in this type of marketing. Let's say you've launched a telemarketing campaign.?

How do you analyze user responses? For example, if you have made 500 phone calls, how can you extract behavioral trends from users' responses? A team of several people must spend several working days implementing and analyzing the calls received.

While using data science and artificial intelligence, this can be done quickly and at the same time as conducting interviews. In this method, while performing the interview, artificial intelligence identifies the thematic codes in the audience's statements and classifies them into meaningful categories.

In the next stage, artificial intelligence identifies relationships and analyzes them based on the frequency and meaningful connection between the codes. This method also quickly identifies the points of dissatisfaction of the audience who have spoken to the call centers. So, data science and artificial intelligence are essential elements of Call Center Marketing.

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7.? ? ? Email marketing

Email marketing is among the most effective methods of increasing traffic and information, which is very popular among digital media. Usually, people indicate their preferences when subscribing to newsletters so that content related to their tastes can be provided. But this is not the end of the work. Data science and artificial intelligence are very effective in optimizing email marketing campaigns. You are interested in certain topics when you click only on issues with specific keywords from the mass of content sent by email.

The continuation of these behaviors shows your particular interest, which marketers should make the most of. Artificial intelligence and data science help marketers identify behavioral tendencies in the face of sent emails and send personalized messages.

This way, by purposefully spending marketing costs, email marketing campaigns are optimized, and the rate of return on investment increases through increased user satisfaction. Therefore, willingness to click on sent emails and increase site traffic is one of the main goals of email campaigns.

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8.? ? ? Community Marketing

As you know, social networks have provided a suitable space for expressing public opinions. By winning the confidence and trust of the audience, social networks provide a platform for manifesting their desires and emotions. Marketers have also used this opportunity to collect user information and display their products and services. Opinion polling and audience behavior analysis using content analysis allows marketers to know the audience's behavioral tendencies and emotions in the best way. This is one of the blessings created by data science and artificial intelligence in marketing.

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9.? ? ? Content Marketing

Contextual Marketing and Informational Marketing are all optimized based on data science and send personalized messages to the audience. Generating helpful content for your audience, providing notifications, optimal and relevant offers, intelligence and planning to provide valuable educational materials, and optimizing the conversion rate are all data effects in this field.

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10.? Database Marketing

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It is one of the main applications of data science in CRM. The goal of implementing CRM systems is better and deeper communication with customers. How to communicate better with the audience? Through identifying their needs and desires. When the number of calls made to the audience increases and the data obtained increases, they can be used well using data science. Artificial intelligence and data science provide the possibility to understand customers better and respond to them by analyzing data and identifying internal trends.

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11.? Influencer Marketing

What does influencer marketing do? It uses influential and famous people among young people to influence their opinions and convince them to buy products and services of a particular brand or to show a specific behavior.

So far, the topic is lovely for marketers. But each influencer affects a particular audience, and the community has a specific goal. So now, which influencer is suitable for our marketing goals?

What are the categories of the audiences? Which audience is suitable for companies' marketing activities? How can you understand? The answer is definitely in data science and artificial intelligence. Artificial intelligence and machine learning determine the type of audience of each influencer by analyzing the content and classifying the comments and help to target the influencer marketing campaigns.

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12.? Loyalty Marketing

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One of the types of marketing that data science can help to optimize is loyalty marketing. All businesses try to make them loyal by establishing close relationships with customers and showing their attention and respect. In the meantime, companies have heavy competition, and each uses different tools and methods to make customers loyal. In your opinion, which one of the businesses will be more successful in attracting the view and loyalty of customers? The business that knows the customer better than the rest, the second question: how to know the customer better? By maintaining the customer's behavioral records and understanding their tastes and desires and each one's response to marketing campaigns, how can data science help us?

The answer is that data science is the key to loyalty marketing success. Data science and artificial intelligence examine the behavioral records of customers, discover desires, and gives personalized options and offers to customers, which will effectively attract their attention, satisfaction, and loyalty.

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13.? Neuromarketing

Neuromarketing examines the reactions that occur in the brain neurons of customers in response to marketing stimuli. What happens in the neural network of the audience in front of different ads, promotions, campaigns, prices, and products?

Neuromarketing has a deep connection with data analytics. It uses various technologies such as Eye and emotion Tracking, Website Behavior Tracking, and Biometrics to measure the brain's response to marketing signals. By collecting and analyzing neurological data, neuromarketing scientists can effectively design and optimize marketing campaigns.

And this is one of the fascinating applications of data science and artificial intelligence in marketing.

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Conclusion

?Data has become integral to strategic planning and business decisions across entire organizations, but it’s particularly beneficial to marketing departments. Solid analytics founded on good-quality, reliable data science offers marketing teams a wide range of opportunities to expand and target their audience. By leveraging these possibilities, companies in every industry can both deepen their understanding of their customers and enjoy unparalleled growth.

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