Intermediate Revenue Analytics

Intermediate Revenue Analytics: Master advanced metrics, customer segmentation, and dynamic pricing for sustainable growth

1 hour of content 9 students

$99.00

Lifetime access

Buy now
14-Day Money-Back Guarantee

What you get:

  • 1 hour of content
  • 30 Interactive exercises
  • World-class instructor
  • Closed captions
  • Q&A support
  • Future course updates
  • Course exam
  • Certificate of achievement

Intermediate Revenue Analytics

$99.00

Lifetime access

Buy now
14-Day Money-Back Guarantee

What you get:

  • 1 hour of content
  • 30 Interactive exercises
  • World-class instructor
  • Closed captions
  • Q&A support
  • Future course updates
  • Course exam
  • Certificate of achievement

$99.00

Lifetime access

Buy now

$99.00

Lifetime access

Buy now
14-Day Money-Back Guarantee

What you get:

  • 1 hour of content
  • 30 Interactive exercises
  • World-class instructor
  • Closed captions
  • Q&A support
  • Future course updates
  • Course exam
  • Certificate of achievement

What You Learn

  • Deepen your knowledge of key revenue models
  • Master essential subscription metrics
  • Imrpove your sales performance analysis
  • Implement advanced pricing techniques
  • Optimize promotion strategies
  • Work through real-world case studies

Top Choice of Leading Companies Worldwide

Industry leaders and professionals globally rely on this top-rated course to enhance their skills.

Course Description

Are you ready to take your revenue analytics expertise to the next level?

If you’ve already mastered the basics and are looking for a deeper dive into metrics, customer segmentation, and advanced pricing methods, then our Intermediate Revenue Analytics course is the perfect next step.

In this course, you will:

1. Refine Your Data Analytics Techniques

  • Learn best practices in data analytics specifically tailored to revenue optimization.
  • Develop a keen understanding of how to measure, interpret, and act on transaction-based, subscription-based, and advertisement-based revenue data.

2. Dive into Key Revenue Metrics

  • Transaction Revenue Metrics: Gain deeper insights into sales revenue, key metrics for transactions, and hands-on exercises to strengthen your analytical capabilities.
  • Subscription Revenue Metrics: Explore pivotal metrics like ARPU, MRR, ARR, NRR, and more. Identify opportunities to optimize subscription offerings and retain customers for the long term.
  • Advertisement Revenue Metrics: Analyze ad impressions, clicks, CTR, and key cost metrics (CPM, CPC) to maximize advertisement-driven revenue.

3. Enhance Sales Performance Analysis

  • Delve into the sales funnel—from lead generation to conversion and repeat purchases.
  • Uncover advanced methods to track pipeline coverage, conversion rates, and sales velocity, ensuring you can proactively drive sales results.

4. Leverage Customer Success & Segmentation

  • Learn to segment and monitor customers for maximum impact.
  • Implement cross-selling, upselling, and retention strategies that boost Customer Lifetime Value (CLV) and improve long-term profitability.

5. Master Advanced Pricing and Promotion Tactics

  • Conduct Conjoint Analysis to determine optimal pricing strategies.
  • Explore Dynamic Pricing to stay competitive in fast-paced markets.
  • Perform Promotion Analysis to assess and optimize your promotional campaigns, ensuring you’re investing in the right deals for maximum ROI.

6. Case Studies & Practical Exercises

Throughout the course, you’ll engage in interactive exercises and real-world case studies, gaining hands-on experience that empowers you to tackle complex revenue challenges in any organization.

1. Instructor

Sudhir Buddhavarapu—a seasoned Silicon Valley veteran with experience across large enterprises and startups—brings a wealth of real-world knowledge. His leadership background in product, marketing, business, and revenue analytics, combined with strong academic credentials, makes him your ideal mentor for advanced revenue analytics.

2. Structured, Engaging Curriculum

Building on the foundation laid in the Introduction to Revenue Analytics course, this intermediate program is carefully designed to reinforce your core skills and introduce sophisticated methodologies. You’ll enjoy a clear, logical progression from fundamental techniques to advanced strategies.

3. Hands-On Learning Experience
Each section culminates in practical exercises and case studies, ensuring you can immediately apply new concepts to real-world scenarios. By actively practicing, you build confidence and a true mastery of intermediate revenue analytics.

4. Certificate of Achievement
Upon completing the course and passing the final exam, you’ll earn a verifiable certificate of achievement. This globally recognized credential validates your dedication and advanced skill set—setting you apart in the competitive job market.


Ready to Accelerate Your Revenue Analytics Career?

Click the ‘Buy Now’ button to enroll in the Intermediate Revenue Analytics course and propel your expertise, confidence, and career prospects to new heights. Invest in your growth as a data-driven professional and start optimizing revenue outcomes today!

Learn for Free

Course introduction

1.1 Course introduction

4 min

Course structure

1.2 Course structure

1 min

Best practices in data analytics in revenue

2.1 Best practices in data analytics in revenue

2 min

Introduction

3.1 Introduction

1 min

Curriculum

  • 1. Course Introduction
    2 Lessons 5 Min
    Course introduction
    4 min
    Course structure Read now
    1 min
  • 2. Data Analytics in Revenue
    1 Lesson 2 Min
    Best practices in data analytics in revenue
    2 min
  • 3. Transaction Revenue Metrics
    3 Lessons 4 Min
    Introduction Read now
    1 min
    Understanding transaction revenue Read now
    1 min
    Key metrics for transaction revenue Read now
    2 min
  • 4. Subscription Revenue Metrics
    11 Lessons 19 Min
    What is subscription revenue? Read now
    1 min
    Average revenue per user (ARPU) Read now
    2 min
    Monthly recurring revenue (MRR) Read now
    2 min
    Annual recurring revenue (ARR) Read now
    1 min
    Average contract value Read now
    1 min
    Net revenue retention (NRR) Read now
    1 min
    Retention rate Read now
    1 min
    Customer Lifetime Value (CLV) Read now
    1 min
    Customer acquisition cost (CAC) Read now
    1 min
    LTV and the LTV  to CAC ratio Read now
    3 min
    Case study
    5 min
  • 5. Advertisement Revenue Metrics
    4 Lessons 5 Min
    What is advertisement revenue? Read now
    1 min
    Ad impressions Read now
    1 min
    Clicks and CTR Read now
    1 min
    CPM and CPC Read now
    2 min
  • 6. Sales Performance Metrics
    7 Lessons 9 Min
    Introduction to sales performance metrics Read now
    1 min
    Sales funnel Read now
    2 min
    Lead generation Read now
    2 min
    Conversion rates Read now
    1 min
    Sales velocity Read now
    1 min
    Repeat customer rate Read now
    1 min
    Pipeline coverage Read now
    1 min
  • 7. Sales Funnel Analytics
    3 Lessons 7 Min
    Introduction to sales funnel analytics Read now
    1 min
    How to conduct sales funnel analysis Read now
    3 min
    Case study - Sales funnel analytics
    3 min
  • 8. Customer Success Segmentation and Monitoring
    4 Lessons 7 Min
    Introduction to customer success segmentation Read now
    2 min
    Importance of customer success segmentation and monitoring Read now
    1 min
    Methods for customer segmentation Read now
    1 min
    Guideline for conducting an effective customer success segmentation Read now
    3 min
  • 9. Cross-selling and Upselling
    3 Lessons 4 Min
    What are cross-selling and upselling? Read now
    2 min
    Benefits of cross-selling Read now
    1 min
    Cross-selling and upselling strategies Read now
    1 min
  • 10. Customer Lifetime Value Analysis
    3 Lessons 6 Min
    What is CLV and why is it important? Read now
    1 min
    How to calculate CLV? Read now
    2 min
    Case Study - CLV
    3 min
  • 11. Conjoint Analysis
    3 Lessons 6 Min
    The importance of pricing and conjoint analysis Read now
    2 min
    Step-by-step guide to conjoint analysis Read now
    3 min
    Advantages and disadvantages of conjoint analysis Read now
    1 min
  • 12. Dynamic Pricing
    3 Lessons 6 Min
    What is dynamic pricing? Read now
    2 min
    How does dynamic pricing work? Read now
    2 min
    Advantages and disadvantages of dynamic pricing Read now
    2 min
  • 13. Promotion Analysis
    5 Lessons 10 Min
    What is promotion analysis? Read now
    2 min
    The importance of promotion analysis Read now
    1 min
    Methods of promotion pricing analysis Read now
    2 min
    Steps in promotion analysis Read now
    2 min
    Case study - promotion analysis
    3 min
  • 14. Conclusion
    1 Lesson 2 Min
    Course wrap-up
    2 min

Topics

Revenue AnalyticsBusiness AnalyticsBusiness FundamentalsBusiness Decision-MakingBusiness SkillsFinance Skills

Tools & Technologies

theory

Course Requirements

  • The Intro to revenue analytics course

Who Should Take This Course?

Level of difficulty: Intermediate

  • Aspiring and practicing analysts
  • Data scientists
  • Marketing, sales, product managers
  • Entrepreneurs and business owners

Exams and Certification

A 365 Data Science Course Certificate is an excellent addition to your LinkedIn profile—demonstrating your expertise and willingness to go the extra mile to accomplish your goals.

Exams and certification

Meet Your Instructor

Sudhir Buddhavarapu

Sudhir Buddhavarapu

Founder, freelancer

3 Courses

172 Reviews

1880 Students

Sudhir is an industry veteran with over 15 years of expertise in analytics ranging from high frequency trading, retail, mobile, product, marketing, revenue, customer experience. He has led several successful initiatives in GTM and all aspects of the funnel, especially in subscription based businesses. He has significant experience working in startups and large enterprises. While data analytics is his passion, he is enthusiastic in sharing his knowledge through e-learning courses on multiple platforms. He has a Ph.D. from the University of Southern California and an MBA from Carnegie Mellon University.

What Our Learners Say

365 Data Science Is Featured at

Our top-rated courses are trusted by business worldwide.