Customers, creating personalized offers,

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Predicting trends, optimizing marketing campaigns . However, Big Data offers many more opportunities for marketers. Let's take a closer look at them in detail. Research on consumer behavior and personalization of offers and advertisements Big Data in marketing is most often used to analyze consumer behavior. Working with data reveals what productsservices: They are the most popular, They are purchased in sets, When are consumers most likely to shopWhere in what channels do they shopAnd many others. Obtaining this information allows the brand to personalize its offer, adapting it to individual needs and consumer behavior. In addition to offers, Big Data can also be used to customize ads displayed in the Google search engine and social media. The eample below shows how this can work in practice on social media.


FB Ads Photo . Big Data allows you to create personalized ads in social media and the Google search engine. This is made possible by a thorough analysis of consumer behavior. Source: facebookadslibrary Below you will find eamples of global giants who have Saudi Arabia WhatsApp Number mastered personalization to perfection. Remember, however, that this may also be the first step towards Big Data in marketing used by small market players. You can take an eample, among others: from the Polish brand Naoko, which uses the acquired data to remind you about recently viewed products. First steps with Big Data Photo . Brands acquire data to personalize offers. One option is to present previously viewed products to the customer.





Source: naoko-store.pl It is worth noting, however, that the fashion industry can use Big Data in marketing much more widely. By analyzing purchase and browsing history, brands can precisely determine clothing sizes, preferred colors or price segments, and thus create hyper-personalized offers. Analysis of demographic and psychographic data Big Data in marketing also means the possibility of detailed demographic analysis of customers, i.e. age, gender, geographical location, marital status, education, and income. By analyzing social media, surveys and product reviews, companies can also obtain information about their customers' .