MktPraxis
Interactive Textbook Module Syllabus

Marketing Response Models

Turn "these two things are related" into an equation with numbers in it. Learn the eight shapes a marketing response can take, the three math models that cover most of them, and how to calibrate parameters by hand against a loss function — the manual version of what regression will later automate for you.

⏱️ ~45 min reading & interactives 📑 12 sections 🎓 Level: Advanced undergraduate 📐 Math: Formulas shown 📚 Courses: Marketing Analytics, Predictive Analytics & ML 🏷️ Topics: Regression, Machine learning & prediction
Full Interactive Chapter (Account Required) The complete chapter reading, embedded live mini-widgets, inline Check-Your-Understanding questions, and progress tracking are available to enrolled students and verified instructors.
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Chapter Section Outline (12 Sections)

Topics and managerial frameworks covered in Marketing Response Models:

  1. 1. Why the Shape of a Response Matters
  2. 2. The Marketing Response Framework
  3. 3. Anatomy of a Response Model
  4. 4. Undefined vs. Defined Parameters
  5. 5. The Eight Shapes
  6. 6. Choosing a Shape: Theory First, Then Math
  7. 7. Three Workhorse Models
  8. 8. Calibration by Hand
  9. 9. Loss Functions: How You Know One Guess Beats Another
  10. 10. Accurate and Simple
  11. 11. Case Application — The Video That Went Viral
  12. 12. What This Sets Up

Interactive Concept Mini-Widgets Embedded in This Chapter (4)

Students manipulate these interactive visual simulations directly inside the chapter reading before answering gated check-in questions:

Cast the Problem Into the Framework

response framework's streams.

Match the Story to the Shape

Distractors are deliberately adjacent (concave vs saturation, S-shape vs threshold) so the exercise tests discrimination rather than recognition.

Linear Model

Pairs an equation with a picture so students see what each parameter *does* to the shape. Deliberately data-free: calibration against real observations is the job of the full Response Model Lab tool, not this widget.

Watch MAE and MSE Disagree

The teaching moment: between roughly X=8. 5 and X=24 the two metrics DISAGREE about which model is better.

Paired Browser-Based Analytics Calculators (3)

This chapter connects directly to these full MktPraxis analytical apps (with pre-loaded business case scenarios, CSV upload, and reproducible Python export):

📈 Response Model Lab

Name the response shape, pick a form, then calibrate it by hand against MAE or MSE.

📐 MAE Calibration Lab

Manually fit linear & quadratic models by minimizing error.

Pre-loaded Business Scenarios: Search Ad Campaign ROI - TechGear Direct · Email Frequency Optimization - StyleBox Subscription · Influencer Campaign Performance - GlowUp Cosmetics · Industrial 3D Printer Sales - PrintForge Solutions

📉 Bivariate Regression (Simple)

Predict an outcome using one variable (e.g., Spend → Sales).

Pre-loaded Business Scenarios: Paid Social Spend vs. Weekly Revenue · Email Creative Themes vs. Average Order Value · Likert Reaction vs. Brand Favorability · D&D Character Level vs. Gold Earned