Customer Analytics Training For Beginners

[LeeAndro]

Published 6/2022MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 328.64 MB | Duration: 1h 4m

Understand how data is used to find out customer behavior and to create more effective business strats.​

What you'll learn
Learn customer analytics, Customer life cycle, Customer on boarding
Learn about Customer activation, Customer activation importance, Cross-selling and so on
Apart from that, the candidate also learns about Upgrading upsell, Campaign life cycle transition, Campaign execution, Campaign channel, and Campaign assessment
It can also help in understanding how data can be used to find out much-hidden information about customer behavior
Requirements
The people who are taking this Customer Analytics Certification Course should have certain specific skills to succeed and the same are as below: Problem-solving abilities - A skill that is vital for every eeer. passion to learn - if you feel excited about new things, you are most welcome in this Customer Analytics training. Interest in mathematics and applied mathematics - analytics and mathematics go hand in hand and you cannot avoid it. Proficiency in at least one programing language - because all units have coding exercise.
Description
Customer analytics is the technology that helps organizations unlock details about their customers and find insights that can expand their businesses and increase their return on investment in such endeavors. We will provide a brief introduction to this fast-growing field of customer analytics and talk about why it is needed for companies, how it is used there and what are the benefits and setbacks of Customer analytics.Today, it is important for all organizations to learn how they can effectively work with customer data to gain insights and answers to key questions that can enhance their business operation and revenue. In this Customer Analytics Certification course, to teach such fundamental aspects of the technology, we shall use sophisticated statistical tools such as R and Tableau to analyze some actual customer data.The use of Customer analytics is becoming more and more applicable to today's world. Data is growing at a fast rate and all companies want to utilize this huge amount of data to learn about the needs of their customer. Customer satisfaction is key to competitive success and those organizations do not understand their customer losses in this battle of fierce competition. Customers are becoming more and more powerful with so many options available to them and they have to power to share their experience through social media to a large number of peers which can benefit or ruin a company Customers are armed with so much of information that they can build the brand in a day or ruin them. If companies can understand their customer's buying habits and their pattern, then they can predict future customer behavior which will guide them to launch what relevant products they need at the right and thus will earn a huge amount of profit.Customer analytics can be better understood through below bullet points:Customer analytics helps organizations increase the response rate such as for incident tickets etc.Customer analytics leads to high customer satisfaction and customer loyalty and also turn the business by increasing the return on investmentCustomer analytics builds a mechanism that reduces the campaign cost by only targeting the right customers which are most likely to buy a given product or service at the given .It can also help in decreasing the attrition rate of employees by predicting the customer's expectations well in advance and also deliver the required product to them when it is needed.It can snt the customers into specific groups more effectively so that it is easy to understand the customer and their needs in a better way.It can also help in understanding how data can be used to find out much-hidden information about customer behavior.Best practices about using the data so that personal information is not exposed are also taught in this Customer Analytics Certification and are quite important for customer analytics professionals.Effective business strats can be designed using current data and analytics

Overview

Section 1: Customer Analytics Course

Lecture 1 Introduction

Lecture 2 What Is Customer Analytics

Lecture 3 Customer Life Cycle

Lecture 4 Customer Onboarding When Whom

Lecture 5 Customer Onboarding Process For A Typical Bank

Lecture 6 What Is Activation And Why Is It Necessary

Lecture 7 The Importance Of Customer Activation

Lecture 8 What Is Cross Sell And Why Cross Sell

Lecture 9 How Do We Cross Sell Effectively

Lecture 10 Upgrade Upsell

Lecture 11 Campaign Life Cycle Transition To Lead Management

Lecture 12 Stages Of Campaign

Lecture 13 Campaign Execution

Lecture 14 Campaign Channels

Lecture 15 Campaign Assessment

Lecture 16 Conclusion

This Customer Analytics Training Course is designed keeping in mind the need for professions such as data managers, business development managers, marketing managers, data analysts, data scientists, and IT managers. Apart from this, those people who are interested and passionate about learning customer analytics may also take this course for their professional development. In this section, we provide details on the type of people that are suitable for this Customer Analytics training and the list goes as below: - Junior Data analyst: People who know some details on data analysis and machine learning but now wants to learn customer analytics course. Data Eeers: These are such people who work with database systems like database developers or database administrators etc.

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