Predictive Customer Analytics

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Kumaran Ponnambalam

1:36:44

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01 - Introduction

01 - The Power of Predictive Analytics.mp4

01:00

02 - Expectations and course organization.mp4

01:06

03 - How to use the exercise files.mp4

02:06

02 - 1. Customer Analytics Overview

01 - The importance of customer analytics.mp4

03:55

02 - The customer lifecycle.mp4

02:04

03 - Apply analytics to the customer lifecycle.mp4

02:20

04 - Sources of customer data.mp4

02:39

05 - The customer analytics process.mp4

01:30

06 - Use case Online computer store.mp4

02:03

03 - 2. Will You Become My Customer

01 - The customer acquisition process.mp4

00:46

02 - Find high propensity prospects.mp4

02:33

03 - Recommend best channel for contact.mp4

02:16

04 - Offer chat based on visitor propensity.mp4

02:57

05 - Use case Determine customer propensity.mp4

07:14

04 - 3. What Else Are You Interested In

01 - Upselling and cross-selling.mp4

03:36

02 - Find items bought together.mp4

02:38

03 - Create customer group preferences.mp4

03:08

04 - User-item affinity and recommendations.mp4

03:25

05 - Use case Recommend items.mp4

03:16

05 - 4. How Much Is Your Future Business Worth

01 - Generate customer loyalty.mp4

02:21

02 - Create customer value classes.mp4

02:24

03 - Discover response patterns.mp4

02:24

04 - Predict customer lifetime value.mp4

03:06

05 - Use case Predict CLV.mp4

03:12

06 - 5. Are You Happy with Me

01 - Improve customer satisfaction.mp4

02:28

02 - Predict intent of contact.mp4

02:36

03 - Find unsatisfied customers.mp4

02:35

04 - Group problem types.mp4

02:28

05 - Use case Group problem types.mp4

03:48

07 - 6. Will You Leave Me

01 - Prevent customer attrition.mp4

01:32

02 - Predict customers who might leave.mp4

02:05

03 - Find incentives.mp4

02:03

04 - Discover customer attrition patterns.mp4

02:04

05 - Use case Customer patterns.mp4

04:52

08 - 7. Best Practices

01 - Devise customer analytics processes.mp4

01:48

02 - Choose the right data.mp4

01:19

03 - Design data processing pipelines.mp4

01:21

04 - Implement continuous improvement.mp4

00:55

09 - Conclusion

01 - Next steps and additional resources.mp4

00:51

Description

Use big data to tell your customer's story, with predictive analytics. In this course, instructor Kumaran Ponnambalam teaches you about the customer life cycle and how predictive analytics can help improve every step of the customer journey.

Start off by learning about the various phases in a customer's life cycle. Explore the data generated inside and outside your business, and ways the data can be collected and aggregated within your organization. Then review multiple use cases for predictive analytics in each phase of the customer's life cycle, including acquisition, upsell, service, and retention. For each phase, you also build one predictive analytics solution in Python. In the final videos, Kumaran introduces best practices for creating a customer analytics process from the ground up.

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Kumaran Ponnambalam

Instructor's Courses

A seasoned veteran in everything data, with a reputation for delivering high performance database and SaaS applications and currently specializing in leading Big Data Science and Engineering efforts

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