ModernSims

Step 1 of 6 · Marketing Management & Strategy

Briefing

Brand, market, mission

Late-afternoon view of the Marston Atlas headquarters in the converted Wireworks district
Marston · Smart-Home Market Briefing

Marston Atlas is yours.

From the Wireworks of Calden Heights — five rounds, five consumer segments, a cohort of peer teams, and one product to position.

Memo from Iris

To: the Marston Atlas marketing team
From: Iris Vega, founder
Re: the next five rounds

I started Marston in 2021 in a borrowed garage two blocks from where we’re sitting now, after eight years of designing other people’s smart-home hardware for them to charge a 60% margin on. We shipped the first NexaHub in 2023, raised a Series A on the back of it, and now we’re launching the second generation into a market that has gotten louder, more expensive to advertise into, and more crowded. That’s the room you’re walking into.

The total addressable market in the smart-home category — people actually open to a new hub this year — works out to roughly 29,000 households, split across five segments that buy for completely different reasons. A strategy that lands with one will repel another. The Tech Enthusiasts will read your integration spec line by line; the Families with Kids will read the price tag and the safety certification. You cannot win all five. You probably cannot win three. Pick where you’re going to compete and commit.

You’re not alone. Other teams in your cohort are launching their own second-generation hubs into this same 29,000-household market — same segments, same five rounds, same set of levers. They might pick the same lane you do and crowd it. They might leave a lane completely empty. Each round, the engine compares every team’s decisions and routes demand to the company that fit each segment best. Your scoreboard is your peers, not the incumbents you read about in trade press. Apple Home, the big-box value brands, the design-led luxury marques — they shaped the segments’ expectations over the past decade and that’s why Tech Enthusiasts read spec sheets and Luxury Seekers won’t accept a promotional aisle. But they’re not in your scoreboard. The other teams are.

Two things to internalize before you submit a single decision. First: your product is not the device. It’s the position. The features you build (energy, integration, UI, security) only matter to the extent they fit the segment you’re going after. Sub-3 average features punishes everybody; over-spending features above what the segment wants just bleeds COGS without buying you demand. Build to a target, not to a spec-sheet ego. Second: advertising has a visibility floor. Below roughly $120,000 in total ad spend, your demand gets clipped because nobody knows you exist. You can be brilliant and invisible at the same time. Don’t.

That’s the brief. Read on. Then go pick a lane.

— Iris

What You’re Inheriting

A second-generation NexaHub, a Series-A balance sheet, and a 5-person industrial-design shop in a converted electrical-supply warehouse in the Wireworks district. Clean cap table, ~$8M ARR, an in-house product team that ships on time, and a small but capable retail-channel relationship that has gotten Marston onto the shelf at three regional chains. What you do not have is a category-defining brand. That's the work.

The product is the NexaHub: a smart-home control hub with four configurable feature dimensions — Energy efficiency, Integration depth, User interface, and Security — each rated 1 to 8. You set the price between $50 and $1,000. Each feature point you build in adds to the cost of goods. Maxing all four is possible, but rarely the right play.

Addressable Market

~29,000

open-to-buy households across five segments

Consumer Segments

5

psychographic, distinct buying logic

Rounds to Compete

5

one round = one quarter of decisions

The Smart-Home Category, in Brief

The smart-home category exited its land-grab phase around 2022. The big platform players (Apple Home, Google, Amazon) defined the protocol layer; the value-tier importers (the brands you see on big-box endcaps) defined the price floor. The middle is where the product brands fight — a band where features can be more than commodity but less than walled-garden, and where positioning is the entire game. Marston is squarely in that middle.

Category growth

~9%/yr

single-digit but compounding through the decade

CAC (customer acquisition cost) inflation since 2022

~1.7×

paid social + retail-shelf slotting both up

The bottleneck

Positioning

not features, not channels — fit

The Vocabulary You’ll Need

Six terms that show up in every section of this briefing, the playbook, and the results page. Skim now; refer back as needed.

Demand Score

0–100. Weighted blend of feature alignment, media alignment, channel mix, ad spend, salesforce, CX, and promotion.

Feature Alignment

How close your features sit to a segment's ideals. Below ideal hurts hard; above ideal wastes COGS but doesn't reduce demand.

Price Sensitivity

The bell-curve sigma per segment. Value Seekers punish a $25 price miss; Luxury Seekers shrug at it.

Visibility Floor

$120K total ad spend. Below it, demand is proportionally cut. You can be invisible no matter how good the product is.

Quality Floor

Below an average feature score of 3, demand is cut to 25%. The market will not reward a sub-3 device.

Market Share

Per-segment, then overall. A 30% share of one segment beats 8% spread across all five.

The Frameworks You’re Exercising

Two textbook frameworks underpin every decision in this simulation: STP (Kotler, 1967) and the 4Ps (McCarthy, 1960). Naming them matters. When you submit a round, you are not just picking numbers — you are running a positioning argument and a marketing-mix decision against five distinct segments.

STP: Segmentation, Targeting, Positioning

Segmentation is the work of dividing a market into groups that buy for similar reasons. Marston’s research team has already done this for you: five psychographic segments — Tech Enthusiasts, Value Seekers, Luxury Seekers, Busy Professionals, Families with Kids — with distinct buying logic, ideal price points, feature priorities, and media habits.

Targeting is the choice you make every round. Which segment(s) are you serving? In this simulation, targeting shows up directly in your decisions: feature levels (energy, integration, UI, security), price, channel allocation, and media mix all carry an implicit “who is this for?”. Trying to target everyone scores well-aligned to no one and gets dominated by a peer team who picked a lane.

Positioning is the perception you build in the segment’s mind — premium, value, luxury, lifestyle. It is the cumulative result of your archetype choice (see the Playbook), price point, channel mix, and message frame. Positioning is also the most expensive thing to change mid-run, which is why R1 carries the weight it does.

4Ps: The Marketing Mix

Product — the four feature levers (Energy, Integration, UI, Security) plus the Sustainability initiative. The engine compares your features against each segment’s ideals; under-shooting is punished proportional to the gap, over-shooting wastes COGS but doesn’t reduce demand. Quality also has a floor: average features below 3 cut demand to 25%.

Price — one number between $50 and $1,000. The engine treats price as a Gaussian multiplier on demand: each segment has an ideal and a sensitivity. Get within $10 of ideal and you’re near 100%; miss by $50 in a high-sensitivity segment and you can lose half your demand on this lever alone.

Place — your online/retail shopping-channel split. Each segment has a real-world purchase-channel preference; Luxury Seekers want retail (75/25), Tech Enthusiasts want online (65/35). Allocating against the segment’s grain costs you demand.

Promotion — advertising budget (with a $120K visibility floor), the TV/Social/Influencer media mix, salesforce size, customer-service investment, and sales-promotion spend. This is the largest cluster of decisions per round and where most students over-spread. Pick a media mix that fits your target segment and let the others go.

Three Structural Facts

If your strategy fights any of these, your strategy is wrong.

Fit Beats Volume

Demand is segment-by-segment. A 30% share of a single segment outperforms an 8% share spread across all five — because production runs, channel splits, and media plans are all calibrated to whichever segment you targeted. Spread thin, every lever fits no one.

Production Has Two Tails

Under-build and you leave demand on the table; over-build and you eat 50% COGS on every unsold unit. Neither tail is symmetrical. Match production to your realistic share of segment demand, not to your aspirational one.

Visibility Has a Floor

Below $120K in total advertising spend per round, demand is proportionally cut — the market literally doesn't see you. You can build the right product, price it correctly, and still ship nothing if you skimped on awareness.

Meet Your Customers

Five psychographic segments, each with a distinct buying logic. Your features, price, channel mix, and media spend land differently in each.

Alex Chen, 28, software engineer, in front of a wall-mounted dashboard at home

Tech Enthusiasts

Alex Chen, 28, Software engineer — fourteen connected devices in a 600-sq-ft apartment

Early adopters whose households already run on a dozen connected devices. They want a hub that talks to the rest of the stack on day one and exposes the API hooks for the things it doesn’t. They forgive a high price; they don’t forgive shallow integration. Heavy social-feed and tech-influencer media; mostly online buyers; they’ll read your spec sheet line by line.

Buying lens

Integration depth & spec credibility

Price posture

Tolerant if the spec earns it (ideal $350)

What wins them

High Integration + Influencer-led launches

What loses them

A retail-aisle product story aimed at families

Channels

Social + Influencers, online checkout

Jamie Reyes, 42, middle-school teacher, comparing prices on a phone in a big-box store aisle

Value Seekers

Jamie Reyes, 42, Middle-school teacher — smart-home convenience without sliding into a bill she'll regret

The largest segment in the market. They want smart-home convenience without sliding into a $400 bill they’ll regret. They watch TV, walk into big-box retailers, ask the staff which one is reliable. Price-sensitivity is the highest in the category — small movements above ideal cost real volume. They will buy a competent device at $200 over a beautiful one at $400 every time.

Buying lens

Reliability per dollar

Price posture

Highly price-sensitive (ideal $200, sensitivity 1.5)

What wins them

Honest pricing + retail availability

What loses them

Premium pricing without obvious justification

Channels

TV + Social, retail purchase

Morgan Whitford, 55, retired CFO, in a curated kitchen at golden hour

Luxury Seekers

Morgan Whitford, 55, Retired CFO — won't put a gadget on the counter unless it deserves to sit there

A small but lucrative segment. They will not put a gadget on the kitchen counter unless it deserves to sit there. They expect top-tier materials, considered design, and a buying experience that matches the device. Influencer endorsements and curated retail showrooms carry weight; price almost never does. The way you photograph the product matters more than the price tag.

Buying lens

Craftsmanship & quiet status

Price posture

Forgiving (ideal $500, sensitivity 0.5)

What wins them

High UI + Influencer + curated retail

What loses them

Discount language, mass-market positioning

Channels

Influencers + retail showrooms

Taylor Park, 35, management consultant, in an airport lounge with a phone open to a smart-home app

Busy Professionals

Taylor Park, 35, Management consultant — wants the apartment to know they're twenty minutes out

Professionals running on a calendar that always has something the next 30 minutes. They want the apartment to know they’re twenty minutes out. They consume balanced media — podcasts, YouTube, a bit of streaming TV — and they’ll buy from whichever channel makes the decision frictionless. Mid-tier price tolerance, but only if the time-saved story is concrete.

Buying lens

Time saved per dollar

Price posture

Mid-tier (ideal $300, sensitivity 1.0)

What wins them

Concrete automation claims, balanced media mix

What loses them

A lifestyle story without a time-saved number

Channels

Mixed media, online-leaning purchase

Sam and Jordan Patel with two kids in a family kitchen, the device on the counter

Families with Kids

Sam & Jordan Patel, 38, Parents of two, ages 6 and 9 — configure it once, never touch it again

Parents with kids in the house. Safety, simplicity, and the ability to set it up once and never touch it again. They watch the most TV in the category and shop primarily in-store — they want to see the device, hold the device, ask a sales associate about returns. Price-sensitive but not desperately so; will spend an extra $50 for the brand they trust not to wake the toddler at 3am.

Buying lens

Safety & set-it-and-forget-it

Price posture

Sensitive but not desperate (ideal $250, sensitivity 1.2)

What wins them

Security + UI + retail availability

What loses them

Tinker-mode positioning, online-only checkout

Channels

TV + Social, retail purchase

The Five Rounds Ahead

Each round is a quarter. You set features, price, channels, and media. Sales come in. Then we do it again. Five rounds is the longest run in our product line — that's a strategic feature, not a bug. Use it.

R1

Position

Pick your 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.

You cannot: diagnose what you didn't commit to.

R2

Validate

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.

You cannot: manufacture clarity from refusing to look at the data.

R3

Compete

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.

You cannot: win a segment you keep abandoning.

R4

Optimize

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.

You cannot: fix a wrong archetype with a budget reshuffle.

R5

Defend

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.

You cannot: save dollars for a quarter that isn't coming.

Your Cohort & How the Scoreboard Works

Every team in your section is running their own smart-home company in the same 29,000-household market. There are no AI competitors in the engine. The scoreboard you'll see in Results is your peers.

How a round resolves

  1. Every team submits decisions: features, price, channel split, media mix, ad spend, salesforce, CX, promo.
  2. Per segment, the engine scores how well each team’s decisions fit that segment’s preferences (price, features, channels, media).
  3. Demand for the segment is routed by relative fit. The team with the best fit gets the largest share; the others get proportionally less.
  4. Repeat across all five segments. Sum to revenue, subtract COGS and channel commissions, get net profit. That’s your scoreboard for the round.

What this means strategically

  • •Lanes can crowd. If three teams target Tech Enthusiasts and you’re the fourth, the demand pool gets sliced four ways. Watching the cohort matters.
  • •Lanes can open. If everyone else chases premium, the entire Value-Seeker pool may go to whoever shows up. R2 results expose this; R3 is the move.
  • •Fit is relative. You don’t need a perfect score — you need a higher one than the team next to you in the same lane. Competitive, not absolute.
A note on the wider market. Real incumbents (Apple Home, Google, big-box value brands, design-led luxury marques) are not in this engine. They’re context: they’ve shaped why Tech Enthusiasts read spec sheets, why Luxury Seekers expect curated retail, why Value Seekers walk the big-box aisle. The Playbook describes four strategic lanes teams typically commit to — Tech Innovator, Premium Specialist, Mass-Market Champion, Lifestyle Storyteller. Lanes are choices, not opponents. Multiple teams can pick the same one; any can be left empty.

The Numbers We’ll Be Watching

Four metrics show up at the top of every results page. They are not equally important; read them in this order.

Net Profit

The bottom line. Determines ranking and next round's budget carry-forward.

Demand Score

0–100 per segment. The aggregate of feature, media, channel, ad-spend, salesforce, CX, and promo alignment.

Market Share

Per segment, then overall. A 30% share of one segment beats 8% spread thin.

Unit Margin

Price minus COGS minus channel commission. Tells you if you can scale or you're racing the bottom.

The Spread Trap

The most common path to mediocre results in this simulation: trying to serve every segment a little. Your features compromise toward the average, your media mix averages out, your price lands in nobody’s ideal — and a peer team who picked one lane out-converts you in that lane while you out-converts no one anywhere.

5 segments × 20% effort each = 100% of nothing in particular

Pick one segment for R1. Pick a second to pivot toward by R3 if and only if your R2 results say you can. Trying to win all five is the most expensive way to win none. See the Playbook for four named archetypes that show what committing to a lane looks like in practice.