Data about our browsing and buying patterns are everywhere. From credit card transactions and online shopping carts, to customer loyalty programs and user-generated ratings/reviews, there is a staggering amount of data that can be used to describe our past buying behaviors, predict future ones, and prescribe new ways to influence future purchasing decisions.
What is this course about?
This course will equip participants with capability to segment, profile and better understand customers. These abilities are crucial in order to offer appropriate product to targeted customer through the most relevant channel.
You will learn how to identify profitable customers so that business can strategically acquire them and offer appropriate services and product. Business can increase the return on investment by applying targeted database marketing to acquire and keep customers instead of mass marketing.
This is a hands-on course that teaches you how to use different analytical techniques to solve different business objectives. Three practical workshops will demonstrate how to segment and profile your customers using R Modeler.
After completion of this training course, you will be able to:
At the end of the course, participants will be able to:
1. Understand customer segmentation so that different marketing tactics can be applied to different customer segments. For example, the most profitable customer segment might receive bigger discounts than other customer segments
2. Understand customer profiling so that customer segments are better understood not only descriptively, but, behaviorally (e.g. how much they spend per month, how long have they been buying from the business)
3. Apply R Modeler analytical techniques, such as customer lifetime value, latency and RFM scoring, to solve business problems
4. Appreciate the Business Customer Game and learn when to market to each customer segment with the right product/service and through the right channel.
What background do I need?
The pre-requisites for learning 'Marketing & Customer Analytics' include basic statistics knowledge and Business Knowledge.
I am from a non-technical background. Will I benefit from this course?
Yes, the course presents both the business and technical benefits of Marketing and Customer Analytics. The data mining and technical discussions are at a level that attendees with a business background can understand and apply. Where technical knowledge is required, sufficient guidance for all backgrounds is provided to enable activities to be completed and the learning objectives achieved.
Sales Skills & Techniques for ProfessionalsMarketing/ Sales
This module is based on solid real life sales experience ...Marketing/ Sales
After being enrolled in the course, participants will know ...Marketing/ Sales
The alignment of sales and marketing discipline to ...Marketing/ Sales
Md. Rabiul Islam
Md. Rabiul Islam has been working with Business Analytics & MIS, Process Reengineering & Automation, Business Research & Development, Project Management, OpenERP customization based on Clients’ Requirement.
He has completed his Graduation on Computer Science and Engineering from the University of Dhaka. He has served Dhaka University Library Management Project, Dhaka University Admission Project. He has been involved with some Research Based work on FMDV Modeling and BT bio-pesticide Toxin and TSS Prediction.
His major accomplishments and Contributions are: Big Data, Data Mining, Semantic Web and Machine Learning.
He has been a reputed public and corporate trainer for several years on subjects like python, Bioinformatics Algorithm using Python, Django frame work, Java, PHP.