Spring 2027

Marketing Analytics

Marketing Analytics covers the impact of analytics on marketing decisions, including metrics, digital analytics, response models, segmentation, product design, experimentation, and big data.

offering recorded3 credits
Recorded instructors · Spring 2027 Neeraj Arora

Summary

1 / 3

Recent recorded grades — Spring 2023: 3.42 GPA, 83.3% A/AB (n=6 letter grades); Spring 2025: 3.58 GPA, 83.3% A/AB (n=6 letter grades); Spring 2026: 3.61 GPA, 92.9% A/AB (n=14 letter grades).

What you’ll be able to do

  • Recognize that the effective use of data is a critical success factor for any business.

  • Apply online and offline behavior-based metrics to make effective marketing decisions.

  • Apply marketing mix models, multivariate statistics, experimental analyses and machine learning tools to a variety of marketing problems.

  • Acquire a portfolio of quantitative methods commonly used in business practice.

  • Explain the impact of marketing analytics in areas such as market research, product management and consulting.

Source: UW Guide

Grade history

↗
average GPA
letter grades
A
AB
B
BC
C
D
F

All recorded terms · compare terms & instructors

Prerequisites

Course map

Sophomore standing,MARKETNG 300, and 310. Not open to graduate students

MARKETNG 450

This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree

Professors

Spring 2027

Recent recorded grades — Spring 2023: 3.42 GPA, 83.3% A/AB (n=6 letter grades); Spring 2025: 3.58 GPA, 83.3% A/AB (n=6 letter grades); Spring 2026: 3.61 GPA, 92.9% A/AB (n=14 letter grades). Includes jointly taught sections.

Historical instructors & teaching patterns

NEERAJ ARORA is recorded teaching in Spring 2020, Spring 2022, Spring 2023, Spring 2024, Spring 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Spring 2027

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction0 / 150

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.

Meeting source records
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Student experience

the class

Recent recorded grades — Spring 2023: 3.42 GPA, 83.3% A/AB (n=6 letter grades); Spring 2025: 3.58 GPA, 83.3% A/AB (n=6 letter grades); Spring 2026: 3.61 GPA, 92.9% A/AB (n=14 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Marketing metrics, digital analytics, marketing response models, segmentation, product design, experimentation, and big data
  • Impact of marketing analytics in market research, product management, and consulting

Skills

  • Applying online and offline behavior-based metrics to make effective marketing decisions
  • Applying marketing mix models, multivariate statistics, experimental analyses and machine learning tools to marketing problems
  • Acquiring a portfolio of quantitative methods commonly used in business practice
  • Hands-on model building focused on marketing analytics

Grades

Latest available · Spring 2026— not enough history to project Spring 2027.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
B
BC
C
D
F

Grades over time

Through Spring 2026

More grade details Grade mix, volume & source data

Not enough comparable courses for Spring 2027 in UW–Madison.

Sources & history

UW–Madison

Catalog & offerings

Descriptions, prerequisites, and recorded course offerings.

Catalog observation history

Observations at scan time; dates do not imply when a catalog change took effect.

Download part 1
Selected offering source records
MARKETNG 450 · Spring 2027

Marketing Analytics

Recorded 2026-10-14
Raw records 
[
  {
    "run_id": "20261014T203208-0851c9a1",
    "semester": "1274",
    "observed_at": "2026-10-14 17:50:09.728220+00:00",
    "offering_id": "1274:237:024767",
    "course_id": "MARKETNG 450",
    "course_uid": "course_833ea9e9edb43b825f960546",
    "term_id": "1274",
    "source_course_id": "024767",
    "source_subject_id": "237",
    "title": "Marketing Analytics",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Spring"
  }
]
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Student reviews

Original comments behind the course and instructor summaries.

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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

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Dataset & model

Recorded 2026-10-14

View the dataset on Hugging Face
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
Download part 1
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Download part 1
Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "4c3609752414ae3704abe45c595b0b0f4180be484f419c2eb53c5a22b1cde287",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}