Consumer Behaviour Marketing Analysis Using Data mining Concepts

The aim of marketing Nowadays, it is important to understand the interests of each customer to make the relationship between the customer and the merchant easier. By studying the purchases made by customers, companies can create campaigns and promotions based on their profile, avoiding that they receive unnecessary notifications [1]. Companies are using data mining to extract knowledge which helps marketers in creating custom services for certain customers based on their interests [2], and thus, the use of data mining techniques is important to create efficient marketing campaigns [3]. The use of data mining allows the extraction of potentially interesting patterns or information from large amounts of data. It is used by several types of companies and organizations with different purposes: marketing, finance, communication, among others. The use of these techniques also has several objectives, such as, sales behavior, customer satisfaction and corporate profits. Thus, data mining helps companies make better decisions [1]. In order to allow an efficient usage of Data Mining techniques on activities of different sectors, some methodologies have been defined. Cross-Industry Standard Process for Data Mining (CRISPDM) is one of them, and contains six topics: business understanding, data understanding, data preparation, modeling, evaluation and deployment .that time my paper developing to customer like lot of products and thinks people look very fashion moments for (eg) dress, bag, food, jewelry, baby goods etc. Still very viral looking for mobile phone usages that one all empire in the world. How to people share the feedbacks and cluster at working with usage Smartphone usages for all age for. Reports and company maintain the consumer data base then how to improve the customer touch points find out the A brand is defined as “a name, term, sign, symbol or special design or some combination of these elements that is intended to identify the goods or services of one seller or a group of sellers by usages of new idea methodology for data mining concepts.