Data Marketing: How Can it Help you Create Better Content?

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Why would you produce Digital Marketing content without knowing why or for whom? 

Only those who want to waste time and money would do that! 

In times of big data, companies have a massive amount of information about the market to analyze and use to plan their content strategy.

Data marketing is a data-driven approach that can also be applied to Content Marketing. 

From this perspective, every strategic decision about content planning, production, and promotion is based on the knowledge that data can generate about the market.

This way, you have a bigger chance of producing content that sparks interest and achieves the company’s Content Marketing goals.

If you also want to have these results with your brand, keep reading this article and understand how data-driven marketing can be used to optimize your Content Marketing. 

We’ll discuss the following topics:

Data marketing or data-driven marketing is an approach based on data as the central pillar of marketing decision-making. 

The creation of campaigns, the definition of target audiences, the choice of a new channel, and content production are planned according to the available data.

However, data alone do not reveal anything. A graph may show the average age of your audience, but how can this be used to improve results?

That’s why companies should count on tools and procedures for collecting, processing, and analyzing data so that human intelligence can turn it into useful information and insights to improve strategies.

These practices are becoming increasingly common with Digital Marketing.

Before, marketing used to look for market data to define the audience or the media for a campaign, for example. But it did not have the precision and volume of data that the Internet provides.

Today, it is possible to know all the steps of consumers, website visitors, and even competitors, in addition to monitoring the performance of your actions. 

Thus, information becomes much more precise to support decision-making.

Based on data, marketing is more likely to hit the mark on its objectives, take risks more intelligently, and perform better.

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Therefore, those who know how to use data marketing have a competitive differential in a market that increasingly demands results and efficiency.

Content Marketing is one of the marketing areas that can become more efficient by adopting a data-driven approach.

This strategy consists of creating relevant content for the audience, thus connecting with them to attract their interest and generate more deals. 

Because of that, it is one of the pillars of Inbound Marketing — or, in other words, attraction marketing.

When Content Marketing decisions are data-driven, they make better-targeted strategies.

Data brings information about audience behaviors and interests, the performance of published content, competitors’ strategies, and much more.

Then, this information can be used to evaluate results and plan content so that it becomes more relevant to the audience and meets marketing goals.

Instead of acting in the dark, creating purposeless content, you can now design strategies that are persona-oriented and focused on results.

Below, you will better understand how data marketing contributes to the development of content strategies. 

Data helps you to get to know the people you want to reach with your Content Marketing strategy.

You need to know who they are, how they live, what they like, their challenges and motivations, what problems they need to solve, and other characteristics. 

This way, you will better understand how your content can be relevant to people.

With this information in hand, you can describe the strategy persona, which summarizes your ideal customer’s profile, interests, needs, and behaviors. 

This persona is a picture of the person your content should aim to reach.

Data analysis helps you understand what people are searching for on the Internet.

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Yves Mulkers

Yves Mulkers is the founder of 7wData and a widely followed voice in the data and AI community. He curates the 7wData and AI Beat newsletters, reaching hundreds of thousands of data and AI professionals, and writes on data strategy, analytics, AI, and the evolving data ecosystem.