Showing posts with label market segmentation. Show all posts
Showing posts with label market segmentation. Show all posts

Sunday, February 23, 2014

Target markets and ANN

Once we, marketers, have determined our business products or services, we must accurately identify our target markets. The target market is the actual customer group, or audience, in which our business will attempt to sell its products and services. Target marketing tailors a marketing mix for one or more segments identified by market segmentation and usually contrasts with mass marketing, depending on the industry, the competition, the marketing budget of the business, NGO vs non-NGO, etcetera. Many techniques have been used in order to select the target markets, such as statistical regression (Bult&Wansbeek, 1995), neural...

Friday, December 13, 2013

Intro to Data Mining for Marketers - Part 2

Data Preprocessing This stage is the most time-consuming stage of the data mining process. Data is never clean and in a form suitable for data mining. There are few typical data corruption problems in business databases such as duplication of the records, missing data fields, and presence of outliers. The preprocessing step involves integrating data from different sources and making choices about representing or coding certain data fields that serve as inputs to the data discovery stage. Such representation choices are needed because certain fields may contain data at level of details not considered suitable...

Monday, December 02, 2013

Intro to Data Mining for Marketers - Part 1

Data mining can be defined as the process of "discovering patterns, meaning and insights in large datasets by using statistical and computational methods". Data mining works to analyze data stored in data warehouses that are used to store that data that is being analyzed. That particular data may come from all parts of business, from the production to the management. Managers also use data mining to decide upon marketing strategies for their product. They can use data to compare and contrast among competitors. Data mining interprets its data into real time analysis that can be used to increase sales, promote new product, or delete product...