NotesMBAMarketing Analytics
MBA 961-18

Marketing Analytics Notes

Program:MBA
Semester:Semester 3
Credits:4
Units:4 Units

Subject Overview

The first Business Analytics group elective, covering market/customer/product analysis using Excel, pricing and sales/distribution analysis, advertising and social media analysis, and e-marketing tools and planning. A 4-credit elective theory paper.

Unit-wise Syllabus

4 units — open any unit for detailed topic-wise notes, diagrams and important exam questions

  • Introduction to analytics and data interpretation on MS Excel
  • sales forecasting
  • market share and performance indicators
  • customer choice/profitability/lifetime value analysis
  • product portfolio analysis and cannibalization analysis
Key formulasCustomer and market metrics
  • Market share

    Your sales / total market sales × 100

  • Customer lifetime value

    Margin per period × retention / (1 + discount − retention)

  • Cannibalisation rate

    Sales lost by old product / sales of new product

  • Customer profitability

    Revenue − cost to serve

Study guide

This unit covers analytics in Excel, sales forecasting, market share, performance indicators, customer choice, profitability and lifetime value, portfolio and cannibalisation analysis. Compute a customer lifetime value.

Read Unit 1 notes
  • Price sensitivity
  • price-volume equation
  • price promotion and price-value analysis
  • sales force sizing and territory planning
  • target setting
  • compensation and performance appraisal
  • distributor numbers/margin/profitability analysis
Key formulasPricing and sales metrics
  • Price elasticity

    % change in volume / % change in price

  • Break-even volume change

    −ΔP / (contribution margin + ΔP)

  • Promotional lift

    (Promo sales − baseline) / baseline × 100

  • Sales force size (workload)

    Total calls needed / calls per rep

Study guide

You study price sensitivity, the price-volume equation, promotion and price-value analysis, sales force sizing, territory planning, targets, compensation and distributor analysis. Estimate price elasticity from sample data.

Read Unit 2 notes
  • Performance of ads
  • media planning
  • advertising and sales promotion budgeting
  • measuring retail and promotional lift
  • social media metrics
  • descriptive/diagnostic/predictive/prescriptive analytics
HierarchyFour types of analytics
  1. Prescriptive

    What should we do?

  2. Predictive

    What will happen?

  3. Diagnostic

    Why did it happen?

  4. Descriptive

    What happened?

Study guide

You study ad performance, media planning, budgeting, measuring lift, social media metrics and the four types of analytics. Evaluate a campaign using metrics.

Read Unit 3 notes
  • E-marketing objectives
  • scope
  • benefits and problems
  • e-marketing techniques
  • e-customers and online buying process
  • e-marketing tools (email, website, social media, PPC, SEO, blogging)
  • e-marketing plan development and measuring success
ProcessDeveloping an e-marketing plan
  1. 1

    Situation analysis

  2. 2

    Set SMART objectives

  3. 3

    Define target e-customers

  4. 4

    Choose tools

    Email, SEO, PPC, social

  5. 5

    Budget and schedule

  6. 6

    Measure

    KPIs and ROI

Study guide

You study e-marketing objectives, techniques, e-customers, tools (email, website, social, PPC, SEO, blogging) and plans and success measurement. Plan an e-marketing campaign with metrics.

Read Unit 4 notes

Why Marketing Analytics Matters

Marketing analytics is a rapidly growing field, as companies demand evidence for marketing spend.

How to Prepare for Marketing Analytics

  • Work with real campaign or sales data in Excel.
  • Learn CLV, ROI and lift calculations.
  • Create a dashboard of marketing KPIs.

Marketing Analytics: Frequently Asked Questions

What is customer lifetime value?

CLV is the total profit a business expects from a customer over the whole relationship.

Want the Complete Notes & Past Papers?

WhatsApp us and we'll send you the full notes, question banks, and previous year papers for Marketing Analytics.