Big Data Applications in Digital Marketing

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We are going to show you how it works today in the digital marketing industry , data processing and analysis - big data for decision making. And in this way to boost your company to business success.

There is one thing that is fundamental in every tool that uses Artificial Intelligence or some type of forecast and it is Big Data.

Marketing, as it is today, is about understanding your consumers, that is, your audience. Large sums of money are being invested in customer relationship management software - CRM and marketing automation tools that use cutting-edge technology such as artificial intelligence to try to predict what time a customer is most likely to interact with our content. the way we want.

We will try to explain what Big Data is , why it is important and how digital marketing is changing.

What is the big data? 

Big Data is a term that describes the large volume of data , both structured and unstructured , that floods a company on a day-to-day basis. But it is not the amount of data that matters. It is what organizations do with data that matters.

Big Data can be analyzed to obtain information that leads to better decisions and strategic business movements.

While the term "big data" is relatively new, the act of collecting and storing large amounts of information for eventual analysis is very old. The concept gained momentum in the early 2000s when industry analyst Doug Laney articulated the current definition of big data as the three Vs:

Volume.

Organizations collect data from a variety of sources , including business transactions, social media, and sensor information or machine-to-machine data. In the past, storing it would have been a problem, but newer technologies (like Hadoop ) have eased the burden.

Speed.

Data flows at an unprecedented speed and must be dealt with in a timely manner. RFID tags, sensors and smart metering are driving the need to deal with torrents of data in near real time.

Variety.

Data comes in all kinds of formats : from numerical data structured in traditional databases to unstructured text documents, email, video, audio, stock price data and financial transactions.

Why is Big Data Important?

The importance of data does not revolve around how much data you have, but what you do with it. You can take data from any source and analyze it to find answers that allow; cost reductions, time reductions, new product development and optimized offerings and smart decision making. When you combine big data with high-powered analytics, you can perform business-related tasks such as:

• Determine the causes and origin of failures, problems and defects in real time.
• Generate coupons at the point of sale based on the customer's purchasing habits.
• Recalculate entire risk portfolios in minutes.
• Detect fraudulent behavior before it affects your organization.

How is Big Data Changing Digital Marketing?

Gone are the days when marketing decisions were guided by intuition and experience. The important marketing decisions are now determined by big data. This refers to the study and application of large and complex data sets , which cannot be processed by traditional data processing applications.

These figures generate insights that can lead to better business decisions and strategic moves . The application of the appropriate technology improves the quality of decision-making and detailed processes.

As the number of products and customer characteristics increases, companies are faced with large volumes of structured and unstructured data. This level of processing is beyond the capabilities of traditional databases and software techniques.

Big Data enables companies to better focus on core customer needs by developing rich and informative content.

Let's understand how it helps companies collect data on customer behavior. An example is cookie files. They collect information about customer activities as they browse the Internet, generating personalized data in the process.

Campaigns using big data are more effective than aggregate advertising used in the past. The great thing about using big data to create marketing campaigns is that it takes the guesswork out of determining what customers want.

The marketers can develop different profiles comprador people using data such as customer behavior, buying patterns, bookmarks and history. For example, they may find that women are more likely to respond to email campaigns, use coupons, and participate in discounts and deals, and build your digital marketing campaign from there.

Content Marketing is Science!

The content marketing used to be an art. It mainly depended on the talent of a writer to convey the spirit of the brand in words. Now, that artistic element is still somewhat present in content marketing. But, in essence, this type of marketing became a science thanks to Big Data.

Writers no longer rely solely on their creativity when developing content for promotional purposes. They have entire teams behind them, analyzing big data and suggesting types of content, themes, and stylistic variations that work best.

This is a very good thing. With great support behind them, writers can produce content that works better than ever. They can still express their creativity in unique ways, only they do so within the framework that big data sets offer you. They target the right kind of audience, paying attention to demographics, tastes, wants, issues, and other data.

Conclusion. Big Data Applications in Digital Marketing.

Finally, technology has undoubtedly affected every aspect of our lives and its advancement in business was inevitable. Furthermore the application of analysis and forecasts of Big Data useful in a wide variety of businesses , from care medical , education , government , to architecture and commerce retailer. They are already maximizing the sales and marketing efforts of countless companies and this is only beginning.

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