Data-Driven Marketing 101: Why Data Is Crucial for Marketers

Effective marketing relies on data: The more data you have, the better your marketing strategy will play out. In this article, we'll explore how MarTech can help you.

Data-Driven Marketing 101: Why Data Is Crucial for Marketers
Pavlo Zinkovski
Pavlo Zinkovski 6 min read
Article content
  1. The crucial component — MarTech
  2. More about data-driven marketing
  3. Use cases for big data in marketing
  4. Frequently Asked Questions

Data has always been important for fruitful marketing: It’s not like marketing managers are just blindly doing something, hoping to see results. They’ve always studied the market and the outcomes of past campaigns. But today, the Internet and the amount of data it contains changed the way professionals approach promoting a brand.

Nowadays, it’s possible to acquire precise information that will make it easy for CMOs to understand the correct ways and outline plans that are efficient with almost 100% certainty. That’s one of the reasons why data science became such a big industry within just a few years. Since data scientists are exactly the specialists who know how to dig out precise chunks of information, they’re very much in demand for different needs.

Nowadays, marketing looks like a mix of creativity, big data, and technology. And the approach of data-driven marketing becomes increasingly popular. In this article, we’ll figure out the details of this method and how you can leverage it.

The crucial component — MarTech

MarTech is short for marketing technology and refers to the set of digital instruments marketing specialists use to plan and execute campaigns. These tools can help to:

  • Automate repetitive processes,
  • Collect and analyze data, and
  • Engage the audience.
MarTech components: automation, collection, and engagement

Proxies are a vibrant example of MarTech. Even though they weren’t created exactly for marketing needs, specialists use them to improve the positions of their brands. When it comes to collecting the required data, it’s impossible to avoid using proxies because most websites are protected from data gathering. Proxies allow to streamline this process and bypass any restrictions to acquire the desired information.

❔ Further reading: Residential Proxies: A Complete Guide to Using Them Effectively

In general, marketing technology is designed to save time, costs, and effort required for planning and executing marketing actions. Computers are simply better at some things — so why not let them do those tasks?

More about data-driven marketing

As we’ve already mentioned, marketers always leveraged information. But modern data-driven marketing involves way more details about the target audience, customers, possible partners, competitors, and the market in general. All the data used in this approach allows marketers to understand what a relevant target audience actually wants and needs, the behavior and motivation of possible and current customers, and other nuances that impact the efficiency of marketing activity.

Besides just giving marketers an understanding of the target audience and the market, data also allows them to predict customer behavior in detail. This, in its turn, allows specialists to determine what will be in demand and when, how to approach the audience, and so on. Additionally, the more information marketers have the more possibilities for a brand they can unveil.

Different customer profiles with their respective preferences

Finally, we should remember that personalized marketing becomes more and more important as the new generation of consumers wants to get offered exactly what they need. Big data gives marketers all the details they need to know to divide the target audience into narrow groups and offer each of them tailored solutions and products. This makes the brand more flexible and brings it closer to the audience thus improving the income.

How is data gathered?

Marketers use web scrapers to gather information. These are programs — bots — that go through target pages and get the required data from them. Scrapers are usually reinforced by residential proxies that allow these bots to bypass any restrictions they meet online. Modern web scrapers are very easy to use as they’re designed for those who are not data scientists themselves. Proxies are also easy to use — especially considering that we will provide you with the guidance you need when you get your hands on Infatica’s residential proxies.

Web scraping bot collects and indexes web content

Besides just gathering the data, scrapers also structurize and format it to make sure the acquired information is suitable for human understanding.

Use cases for big data in marketing

Let’s take a closer look at some examples of how companies can benefit from data-driven marketing:

Identify the most efficient channel

Various marketing channels and their efficiency

Usually, marketers would have the same budget for all channels (Facebook ads, Google ads, ads in media, etc.). But using data, they can determine in advance which channels will be more efficient for a specific campaign. Using detailed information on the user behavior, specialists can get a better understanding of a multi-channel approach that will be suitable in terms of spendings and outcome.

Personalized marketing

As we’ve mentioned, younger consumers want to receive tailored offers, and many brands already have established personalized marketing approaches. An example of this method would be an e-commerce website that offers a customer accessories for a bicycle after this customer has bought a bicycle.

Detailed research

Potential customers are studied by the marketers

Big data gives big knowledge. Acquiring detailed information companies can study:

  • The behavior of potential customers and their interests,
  • Purchase habits of the target audience,
  • Reviews and comments,
  • Spikes of interest to specific products,
  • Related trends on social media,
  • Sales volume during different events and seasons, and
  • Strategies of competitors.

These are the most popular bits of data marketers study. You, of course, can customize the data-driven marketing according to the needs of your company to improve the results. Studying the target audience, competitors, and the market in such detail allows for decreasing unnecessary spendings while increasing the revenue of the brand.

The bottom line

Soon enough, data-driven marketing will become just “marketing” as the data-oriented approach becomes overwhelmingly popular among marketers. So it’s vital to figure out this method now and start applying it so that in the future we won’t find ourselves drowning in the ocean of unknown tools, metrics, and approaches.

If you need more guidance on proxies and assistance in choosing a suitable pricing plan, feel free to contact us. Infatica’s support team is always ready to help and answer all your questions. And if you need a custom pricing plan — just tell us and we will create one for you.

Frequently Asked Questions

Because it is all about understanding your customer and what they want. It’s a way to use information and analytics to make decisions about how to reach and engage customers. Data-driven marketing allows you to target your ads more accurately, measure the success of your campaigns, and improve your customer relationships by understanding their needs and wants.

Start by collecting high quality data, which includes demographic information about your target audience plus data on their behaviors and online activity. You can then use it to inform your marketing decisions. For example, if you know that your target audience is mostly women aged 25-34, you can focus your efforts on reaching them through channels like Facebook and Instagram.

Data-driven marketing is on the rise. With big data, marketers have unprecedented access to information. However, data-driven marketing is not without its challenges: For example, turning this data into actionable insights or making sure your data is accurate. With so much data out there, it's easy for inaccuracies to creep in. This can lead to suboptimal decision making and wasted marketing spend.

Here are four reasons:
  1. It allows you to really understand your customers and what they want.
  2. It helps you optimize your marketing efforts and get the most bang for your buck.
  3. Data can help you make better decisions about future marketing campaigns.
  4. It allows you to track your progress and measure success.

Data can help you understand your customer base, track customer behavior, and craft more targeted and effective marketing campaigns. Additionally, data can help you optimize your website for better conversion rates and improve your overall ROI. Simply put, data provides insight that can be used to make informed decisions about your marketing efforts.

As infatica`s CTO & CEO, Pavlo shares the knowledge on the technical fundamentals of proxies.

You can also learn more about:

11 Best Proxy Browsers
Proxies and business
11 Best Proxy Browsers

Discover the best proxy browser options to enhance your web browsing experience. Learn how to configure proxies with a top server for improved privacy and security.

Selenium Scraping With Node.js
Web scraping
Selenium Scraping With Node.js

Learn Selenium scraping with Node.js in this step-by-step guide. Discover how to set up, extract data, handle errors, and optimize performance with Infatica proxies for seamless scraping results.

Web Scraping in Java
How to
Web Scraping in Java

Discover how to perform web scraping in Java using libraries like Jsoup, Selenium, and HtmlUnit. Learn to extract and automate data collection from websites and export data efficiently.

Get In Touch
Have a question about Infatica? Get in touch with our experts to learn how we can help.