Nowadays, companies are in possession of a volume of data of such magnitude that it gives rise to information overload and it is an impossible task to organize this information. To shed some light on this chaos of information, Data Mining is used, a fashionable concept referring to the process that attempts to discover patterns in large sets of data and transform it into a comprehensible structure for later use. Data Mining allows the creation of campaigns to obtain new clients or to retain existing ones .
What is Data Mining?
Data Mining is a set of techniques and technologies that canada business email list allow for detailed analysis of a large volume of data, with the aim of extracting the most relevant information according to the company's interests: behaviors, trends, etc. It is the most suitable alternative to know exactly the needs of users and what they expect from brands.
As marketers say, Data Mining is the basis of any digital strategy.
Regarding the advantages of using this technique, they can be summarized as follows:
Reveal information that we did not expect to obtain.
It allows you to attract and retain customers.
The company can improve customer service based on the information obtained.
It gives companies clues about what products to offer to customers.
It saves costs for the company and opens up new business opportunities.
Data Mining
Differences between Data Mining and Big Data
Big Data is a technology based on capturing, managing and processing a large amount of data, using tools that identify common but generic patterns.
We could define Data Mining as the complementary step to Big Data , since it refines this set of data to extract more specific information and obtain results that serve to optimize the company's marketing strategies.
Application of Data Mining in Digital Marketing
Data Mining aims to create more targeted and personalized marketing campaigns based on the patterns that have been obtained. As a result, conversions are achieved faster.
The most common uses of Data Mining are:
Optimize digital marketing initiatives to continuously and visibly improve the results obtained from the applied strategies.
Discover user behavior patterns.
Market segmentation.
Customer loss risk detection.
Know the impact of the different social media used.
Identify which prospects should be included on a mailing list to obtain the highest response rate.
Knowing what users find interesting.
Shopping basket analysis to understand which products or services are frequently purchased together.
Trend analysis.
Discover new alternatives for digital strategies to send the right message, at the right time and to the right user.
