01Overview

Marketing management & strategy,
five quarters at a time.

Students inherit Marston Atlas — a smart-home hardware startup with cash, a second-gen product, and a market that already has heavyweight incumbents. Five rounds. Five segments. Real 4P decisions every quarter. No AI rivals; the scoreboard is the cohort.

4 or 5 rounds
Teams or individual play
5 auto-graded case studies
Share · profit · brand equity

Maps to your syllabus

STPSegmentation · targeting · positioning
4PsProduct · price · place · promotion
BrandArchetypes · equity · differentiation
IMCIntegrated marketing communications
02Pedagogy

Five rounds is the longest run in the catalog.
That’s the feature.

A four-quarter sim teaches launch; a five-quarter sim teaches consequence. R1’s archetype constrains R3’s competitive position; R3’s position dictates R5’s defensive options. The middle rounds force students to decide whether the plan they wrote on day one still holds — and to defend their answer with data the engine surfaces, not vibes.

Learning outcomes

LO1

Pick a defensible segment

Tech, Value, Luxury, Busy Professionals, Families — pick one, defend it with features and price, refuse the rest.

LO2

Operate the 4Ps as a system

Product, price, place, promotion — judged on internal fit, not on any single decision.

LO3

Read research, then change your mind

R2 is for course-correcting. Buy the right consumer-insight study; adjust the lever that matters.

LO4

Compete inside a cohort

No AI rivals — your scoreboard is your classmates. Read the lanes the cohort opens up, then own one.

03The arc

Five rounds. Five strategic questions.

R1 sets the position. R2 is the cheapest course-correction. R3 forces a fight inside the lanes the cohort opened up. R4 tunes the engine before the final push. R5 spends the runway. Students who hold R1 across all five come out ahead of the ones who rewrite it every quarter.

5 rounds · cohort scoreboard
1
R1 · Position

Pick a lane

Pick an archetype. Set features to match the target segment. Price at the segment’s ideal. Hit visibility — clear the $120K ad floor. Don’t try to win every segment.

Case study this round

Netflix · value exchange, the 4Ps, and defining the competition

2
R2 · Validate

Read the signal

First results in. You see who actually bought — some matches your target, some is a surprise. Cheapest course-correction round of the run. Buy Consumer Insights if your R1 hypothesis didn’t land.

Case study this round

Spotify · tiered segmentation and platform economics

3
R3 · Compete

Own the lane

Peer teams have reacted to R1-R2. The cohort has sorted itself into lanes — some crowded, some open. Double down on what’s working in your segment; cut the spends that didn’t convert. Brand assets start doing real work.

Case study this round

Nike · brand equity and channel strategy as brand strategy

4
R4 · Optimize

Tune the engine

The big strategic bets are made. This is the engine-tuning round — small changes to media mix, sales force, customer service have outsized leverage now. Squeeze the lever that’s underperforming.

Case study this round

Amazon · channel power and the administered VMS

5
R5 · Defend

Spend the runway

Final round. No round after this. Spend everything that compounds inside this round; save nothing for next quarter. If you’re leading: protect the segments you own. If you’re behind: make the bet you wouldn’t have made in R1.

Case study this round

Apple · strategic control and the services pivot

04The model

The 4Ps,
graded on internal fit.

Every round, students push five levers — product, price, place, promotion, and people. The engine doesn’t score any one of them in isolation; it scores how well the five fit together against the chosen segment’s preferences. A premium price with mass-market channels loses to a boring strategy that respects what the segment actually wants.

What students actually see

The five levers are introduced in the briefing, surfaced as tabs in the decision form, and replayed on the round-results panel. The research dashboard exists so students can buy the data that explains why a lever underperformed instead of guessing.

Lever 1

Product

Pick the archetype; set the feature mix (Integration, UI, Security). The archetype is the strategic commitment R2-R5 build on.

In-game: Tech · Value · Luxury · Busy · Families

Lever 2

Price

Price at the segment’s ideal — sensitivity varies wildly. Value-Seekers punish a $50 overshoot; Luxury punishes a discount.

In-game: Ideal price band · sensitivity coefficient

Lever 3

Place

Channel split between online, retail, and direct. Families want a store associate; Tech wants a checkout flow.

In-game: Online · retail · direct

Lever 4

Promotion

Media mix and ad spend. TV builds household trust; influencers convert Tech and Luxury. Hit the visibility floor or none of the lever matters.

In-game: TV · social · influencer · search

Lever 5

People

Sales force size and CX investment. Families and Luxury need humans in the loop; Tech notices when CX slips and tells their friends.

In-game: Sales force · customer service

05Artifacts

What your students will hand in.

Every round produces a decision sheet and a market-share scoreboard you can review in the instructor dashboard. Case-study answers are submitted alongside and auto-graded against your answer key.

Decision sheet · R2
Sample team

Archetype · segment · 4Ps

Holding Tech-Forward. Holding $349. Trimming TV, doubling influencer + search. Hired two reps for direct channel — R1 retail mix underperformed.

Segment

Tech

Price

$349

Media

Influencer-led

Tech segment share · R2Sample team
38%share
Leading the segment+12pp vs R1 · $1.4M net profit

What the engine surfaces

“Tech share gained on influencer-led media. Value share slipped — price still reads premium to that segment. The Families lane is wide open; two cohort teams abandoned it this round.”

06Adopt

See it the way
a student would.

The fastest way to evaluate the module is to take a guided tour of Round 1 — same brief, same decision form, same research dashboard, same results panel your students see, prepopulated with sample inputs so you can click through and read the reveal without grading your own work. We recommend doing it before assigning.

Already adopted? Open the instructor dashboard →

Course wizard

Roster size auto-allocates teams; pick 4 or 5 rounds at setup.

Teams or individual

Run it as a cohort scoreboard, or assign one Marston per student.

Five case studies

Netflix, Spotify, Nike, Amazon, Apple — auto-graded against your answer key.

Canvas-ready CSV

Export the full gradebook on demand.