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Website Traffic Analysis 

  • Offered byGreat Learning

Website Traffic Analysis
 at 
Great Learning 
Overview

Duration

2 hours

Total fee

Free

Mode of learning

Online

Difficulty level

Intermediate

Official Website

Explore Free Course External Link Icon

Credential

Certificate

Website Traffic Analysis
 at 
Great Learning 
Highlights

  • Earn a certificate of completion
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Website Traffic Analysis
 at 
Great Learning 
Course details

What are the course deliverables?
  • Customer Lifetime Value
  • Acquisition Strategies
  • Retention Strategies
More about this course
  • This course gives you a highlight about customer lifetime value
  • Furthermore, customer relationship management analytics (CRM analytics) frequently incorporates the accumulated data to assist and streamline better business decisions, which will also be covered in this course
  • In the end, we discuss several techniques for user retention and enhancing customer relationships

Website Traffic Analysis
 at 
Great Learning 
Curriculum

The Loop of Customer Relationships

Understanding Customer Lifetime Value

Acquisition Strategies using CLV

Acquisition Strategies - Referrals and Social Influence

Retention Strategies - Concept and Importance

Retention Strategies

Faculty Icon

Website Traffic Analysis
 at 
Great Learning 
Faculty details

Dr. Pavankumar Gurazada
Designation : Faculty - Business and AI, Great Learning Description : After graduating from IIT Bombay with a five year integrated Masters degree in Science, Pavan earned his MBA from IIM Bangalore. After his MBA, Pavan joined Alghanim Retail in Kuwait and was instrumental in growing the nascent retail presence of the company. After a two year stint in the retail division, he worked as the B2B sales manager for Saint Gobain in UAE & Oman for 11 years, where he managed the company's distribution network. During his tenure at Saint Gobain, he increased the company's new product sales by 40% and expanded overall sales by 15%. A PhD graduate from IIM Lucknow, Pavan's research focuses on using machine learning methods to understand consumer engagement on social media. His work has been presented in several reputed conferences (EMAC conference 2018, Glasgow; China Internet+ Innovation and Entrepreneurship conference 2019, Hangzhou; NASMEI conference 2019, Chennai and MRSI conference 2019, Mumbai to name a few). His book - Marketing Analytics - published by Oxford University Press is slated for a release later in 2020. Pavan is currently a faculty of Business and AI with Great Learning. He is also an advisor (data science) and a member of the board on a deep tech startup Constems AI that is focused on building computer vision systems for Industry 4.0. His LinkedIn profile is https://www.linkedin.com/in/pavankumar-gurazada-00791312/
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