Data driven marketing represents the latest evolution in the way marketers make decisions and manage our campaigns. Today, marketing is based more and more on data analysis and less on experience and intuition. We can know what really interests consumers and predict how they will act more accurately than ever. It's the age of data marketing , and here's how it works. Do you want to know how to make your Google Ads campaigns a success this year ?
Click here and see the related course. Discover the trends and news of the Google advertising platform. Data driven marketing how to guide your marketing to data What is and what is not data driven marketing Data driven marketing or data marketing is a methodology that starts from the analysis of massive data on consumers to obtain insights that facilitate decision making. Collectively, we call this data "big data" that serves as a starting point for analysis. It can be data: "Zero-party" (contributed voluntarily by users). "First-party" (obtained by the company itself). "Third-party" (based on information from third parties, for example, market analysis carried out by consultants). Keep in mind that data driven marketing is not the same as data mining or data science .
Data-driven marketing has a strategic component: all data that is collected has a function, and only data that is relevant to the business is stored. The ultimate goal is to distill the data needed to make informed decisions. What does data driven marketing bring to companies? Better Decisions . Marketers have traditionally relied on a mixture of experience and intuition to target their campaigns, and this is still the modus operandi of many marketers. But data driven marketing allows us to rely on real figures and insights and reduce the margins of error. Better customer experience . Data marketing puts the focus on current and potential customers of a company and uses data analysis to understand them better. The result is that we can anticipate your needs and create a highly satisfying learning and buying experience.