New York University 3 credits Integrated Marketing
In this course, students learn the basics of database setup and management as well as the analytical techniques and tools used in integrated marketing to assess, enhance, and profit from customer-relationship management. The course reviews database technology, organization, and planning including technology needs and outsourcing considerations; sampling techniques such as nth selects and frozen files; creating powerful predictor variables such as univariate and cross tabulations, ratios, time series variables, and other measures. The course also covers predicting customer actions by using multiple linear regression and logistic regression to model response, payment, attrition, churn, and other factors that assist in segmentation. Students also learn how to combine prospect and customer data residing on databases with outside sources of data to drive response models.
Our subject experts help with essays, research papers, case studies, discussion posts, and capstone projects for these programs β written from scratch to your course requirements.
Program and course information is reproduced from each university's published academic catalog for informational purposes and may change. Always confirm current requirements with your university. We are an independent academic support service and are not affiliated with or endorsed by the universities listed.
Expert guides on essay writing, citation styles, study skills, and academic success.
View All Articles
Learn how to write a good research question for a paper. Narrow your topic, identify a research problem, and create a focused question with practical examples.
Learn how to choose a research topic you can actually research. Discover how to narrow broad ideas, find reliable sources, and develop a focused research question.
Learn how to cite sources in a research paper using APA, MLA, and Chicago styles, with in-text citation examples and reference-list tips.