We could say that Data Driven Marketing is the strategy of strategies and we would not be falling into a simple word game, because this concept places the customer at the center of companies’ marketing efforts .
Today, consumers have access to a wealth of information, whenever and wherever they need it. In addition, consumers’ expectations of brands are higher and ever-changing. Therefore, having a broad understanding of their consumption habits , their reactions to brands, their aspirations, purchasing power and other details gives companies an advantage.
In this context, data obtained from online and offline interactions with users is the raw material for reaching this level of knowledge. Marketing decisions that will drive new conversions and strengthen the engagement of already acquired customers depend on its processing and analysis .
Towards a definition of Data Driven Marketing
Data Driven Marketing ( DDM ) is a strategy that uses various tactics and tools to leverage large fashion photo editing of data, with the purpose of developing more effective marketing processes . In fact, such data provides a broader view of consumer behavior . Therefore, the insights obtained from this information can be relevant for decision-making. Some of these decisions may include directing personalized marketing strategies to specific demographic and user groups.
It is precisely the users themselves who provide the data, with their interactions through multiple and different channels. For example, when they make purchases online and in physical stores, or when doing an Internet search. Also when they comment on their experiences with brands on social networks or react to shared content. As with each transaction they make through digital banking . Thanks to technologies such as big data, advanced analytics, artificial intelligence and machine learning, it is possible to quantify and evaluate customer behavior based on this data. Likewise, the data analyzed can be applied to technologies such as the Internet of Things ( IoT ), which some retail and fashion chains use to send offers or reminders to customers who are near their branches.
CRM, an essential tool
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In the collection and analysis of data for marketing purposes, CRMs ( Customer Relationship Management ) have been essential tools for many companies. The capabilities of CRMs in these aspects were expanded with their transition to software as a service ( SaaS ) in the cloud . They were thus able to evolve Shopify: paga a pena? Unha revisión en profundidade their initial function as a repository of information to include various technologies and integrated applications. With them, it was possible to further automate communication actions with customers and manage marketing more quickly for each betting email list of the conversion funnel . These resources even make it possible to evaluate the effectiveness of these efforts.
Advantages of Data Driven Marketing
Thanks to Data Driven Marketing , marketing departments in companies can determine the aspects of the strategy that help meet goals. This concept also makes it easier to identify and discard what doesn’t work. At the same time, data-driven marketing allows efforts to be optimized in this regard, motivating creativity and the implementation of more effective tactics.
Data collection and processing speed allow us to know in advance what the consumer wants from the brand. Therefore, the decision-making process is streamlined, becoming more relevant and timely.
On the other hand, Data Driven Marketing provides other important advantages:
Precision
With a wealth of data at their disposal, marketers filter out relevant information based on which they will implement their strategies.
Segmentation
The strategy in question facilitates the segmentation of target audiences and buyer personas . In this way, the probability of directing personalized marketing communications to the right customers increases.
Personalization
Brands can better communicate and engage with their target audiences through marketing personalization . This approach helps brands connect with the right markets and deliver more relevant messages.
Customer Experience
Data-driven marketing also helps improve customer experience through the use of feedback forms or consumer surveys. User feedback through these tools provides even more information on which areas to improve.
