Why great products die in bad markets
Why great products die in bad markets
Picture two founders who launch in the same year. The first builds a beautifully designed app for tracking household chores, ships updates every week and answers every support ticket within an hour. The second builds a clunky tool that lets dental clinics in the American Midwest manage insurance claims. Five years later the chore app has shut down and the dental software company has been acquired for a large sum. The first founder did nothing wrong in the office. She lost before she wrote her first line of code, because she picked a market where people would not pay, where rivals could copy her in a month and where nothing kept users from leaving.
Business strategy deals with exactly that layer of decisions. Execution asks how well you do the work, and strategy asks which work deserves your limited money, people and time when competitors are making the same calculation. A small team that pours two years into a market too small to sustain it has misallocated its resources, however elegant the product turned out.

Founders and investors use a handful of frameworks to make that allocation less of a gamble. Some measure how much demand exists and how much of it a young company can realistically reach. Others explain why certain companies keep their profits for decades while others watch margins melt the moment a rival appears. A third group describes business model architectures, from software sold to one industry to platforms that sit between millions of buyers and sellers. Each framework answers a different question, and the useful skill is knowing which question you face.
Mapping the demand with TAM, SAM and SOM
Every pitch deck seems to promise a market worth billions, and most of those numbers mean very little. Analysts break demand into three nested layers so that the big figure stops hiding the small, honest one.
The total addressable market (TAM) is the revenue available if every possible customer in the world bought your kind of product. The serviceable addressable market (SAM) is the slice your actual product, pricing and distribution can reach today, given the language you support, the countries you sell in and the customer type you serve. The serviceable obtainable market (SOM) is the share of that slice you can realistically win in the next few years against existing competitors.

Take the dental claims software from the first page. Its TAM might be every dental practice on earth. Its SAM shrinks to independent clinics in the United States that use the insurance systems the software integrates with. Its SOM is the number of those clinics a twelve-person sales team can sign in three years, perhaps a few thousand.
Counting from the bottom up
The weak way to size a market starts at the top. A founder finds an industry report saying dental software is a huge global category and claims that capturing just 1% would make the company rich. That sentence hides every hard question about who buys, why and through which channel.
A bottom-up estimate starts from the unit that pays. You count the clinics that match your customer profile, multiply by the price one clinic would pay per year, and then apply a conversion rate grounded in how many sales calls your team can make and how many of them close. If 20,000 clinics qualify, each pays $3,000 a year and you can credibly win 5% in three years, your obtainable revenue is about $3 million a year. The number is smaller than the slide-deck fantasy, and it is the one you can plan hiring and spending around.
- M
- TAM
- SAM
- SOM
- All dental clinics worldwide
- Sheet 1 · Market sizing
- Annual Obtainable Revenue
- Market penetration
- clinics
- / yr
- clinics won
- Concentric circles: TAM, SAM and SOM
Securing the beachhead market
A small SOM often turns into an advantage when a startup uses it as a beachhead market, a narrow group of customers it can dominate before moving on. The term comes from military landings, where an army first secures one stretch of shore and only then pushes inland.

A good beachhead has customers with an urgent problem, few competitors paying attention and enough word of mouth among members that winning a few leads to winning many. Facebook offers the textbook case. It launched only for Harvard students in 2004, then spread to other universities and only later opened to everyone. Each campus was small, yet students there knew each other, so once a critical mass joined, the rest followed quickly.
Dominating a niche pays off in three ways. Revenue arrives early, which reduces dependence on investors. The company learns its customers in detail, so its product fits better than a generalist rival's. And a strong reputation in one segment gives credibility when it approaches the neighboring one, such as moving from dental clinics to orthodontists and then to veterinary practices, which run similar billing workflows.
- Network diagram: Dental Clinics expands to Orthodontics and then Veterinary
- Dental Clinics
- Orthodontics
- Veterinary
- Billing workflow
The common mistake runs the other way. Founders who fear a small market chase every segment at once, end up with a product that is mediocre for everyone, and spread their sales team so thin that no group of customers adopts them fully.
The anatomy of economic moats
Investors borrow a medieval image for durable advantage. A moat protects a castle by making attack expensive, and an economic moat protects a company's profits by making competition expensive. The question it answers is simple to state and hard to satisfy. If a well-funded rival copied your product tomorrow, would your customers and margins survive?

Many advantages that feel powerful fail that test. A faster checkout, a slicker interface or a lower price thanks to a lean team are forms of operational efficiency. They matter, but a competitor can match them by hiring good engineers or accepting thinner margins for a while.
Strategist Hamilton Helmer, in his book 7 Powers, argues that lasting advantage needs two ingredients together. There must be a benefit that raises cash flow, and a barrier that stops rivals from simply copying the benefit. He catalogs seven such powers, including scale economies, switching costs, network economies, brands and control of scarce resources.
Barriers to entry belong in the same family. Regulatory licences, huge upfront capital needs, patents and exclusive supply contracts all raise the cost of showing up at all. Airlines and pharmaceuticals live behind such walls, while a mobile game studio faces almost none, which helps explain why so many games compete for so few dollars. Two of Helmer's powers deserve a closer look, since they decide the fate of most software and platform companies.
Network effects and lock-in
Switching costs describe what a customer loses by leaving. Its data, workflows, trained staff, integrations and relationships are tied to the current supplier, so moving to a rival means rebuilding them. SAP's ERP software, which runs finance, purchasing and manufacturing for large companies, is the classic example. A firm that has customized SAP for years, trained thousands of employees on it and connected dozens of other systems to it faces a multiyear, risky migration if it wants out. Salesforce builds similar loyalty as sales records, automations, custom reports and user habits pile up inside it.
Network economies, usually called network effects, work differently. The product gains value for every user as more users join, so a challenger with fewer participants offers less even with better features. On LinkedIn, recruiters come because professionals are there, and professionals come because recruiters are there. Visa and Mastercard run the same loop, with more cardholders attracting more merchants and more merchants making the cards more useful.
A simple diagnostic separates the two. Switching costs are specific to each customer, so you ask what this one company would have to rebuild if it changed vendors. Network effects are ecosystem-wide, so you ask whether each new participant raises value for the others.
The strongest platforms stack both. More Salesforce customers attract more third-party apps and consultants on its AppExchange store, those apps make Salesforce more useful, customers embed it deeper into their operations, and that deeper embedding raises the cost of leaving. A rival then has to beat an entire ecosystem of partners, talent and accumulated dependence, which is why companies like Microsoft and SAP are so hard to dislodge.
SaaS architectures, vertical depth versus horizontal reach
Software sold as a subscription over the internet, known as SaaS, splits into two broad architectures with very different economics.
Horizontal SaaS serves a single function across every industry. Slack for team chat, Zoom for video calls and Salesforce for customer relationship management are bought by law firms, factories and charities alike. The upside is an enormous market. The downside is that rivals see the same opportunity, so horizontal tools usually fight heavy marketing battles and must keep spending to stand out.
Vertical SaaS goes deep into one industry and handles its specific workflows. Toast builds point-of-sale and operations software for restaurants, and Veeva serves pharmaceutical companies with tools shaped around drug-industry rules. The market is smaller by definition, yet the product can cover scheduling, payments, compliance and reporting that a generalist tool ignores.

That depth changes churn, the share of customers who cancel each period. When a vertical tool runs the whole restaurant, from orders to payroll, leaving it would stop the kitchen, so customers stay for years. Vertical companies also tend to sell through industry trade shows, associations and word of mouth among owners who know each other, which keeps acquisition costs down. Many of them later add payments or lending on top of the software and earn far more per customer than the subscription alone.
The trade-off comes down to breadth against grip. Horizontal SaaS bets on a huge ceiling and pays for it in competition, while vertical SaaS accepts a lower ceiling in exchange for loyal customers and room to sell more services to each one.

Marketplaces versus aggregators
Platforms that sit between two groups look alike from the outside, and analyst Ben Thompson, author of the newsletter Stratechery, separates them by asking who owns the relationship with demand.
A marketplace mainly facilitates a transaction between buyers and sellers. Sellers usually keep control over their identity, prices, presentation and customer relationship. Etsy shoppers often remember the specific craftsperson they bought from, and the craftsperson can build a loyal following.
An aggregator owns the user-facing experience and controls how suppliers reach customers. Thompson argues that the internet made supply and distribution cheap and abundant, so the scarce asset became the place users habitually go to discover things. Google search, Netflix and Uber fit the pattern. Aggregators share three traits, namely a direct relationship with users, almost zero cost to serve one more user, and a loop in which more users attract more suppliers, which improves the experience and draws more users.
The consequence for suppliers is stark. Once a hotel depends on Booking.com for most of its guests, it competes for ranking on the aggregator's terms and has little bargaining power, since travelers see it as one interchangeable option among many. Riders open Uber, not a particular driver's number.

The categories blur in practice, so Thompson's distinction works best as a scale of control. Amazon runs a marketplace for third-party sellers while owning the customer relationship, the ranking system and the payments, which places it far toward the aggregator end. In one sentence, a marketplace connects parties, while an aggregator owns the audience and decides how parties reach each other.
- Platform model
- Marketplace
- Aggregator
- Diagram of buyers and sellers
- Buyers
- Clay Studio
- own prices
- Loom & Co
- own brand
- Oak Hand
- own fans
- Wick Works
- own story
- Discovery portal
- Supplier
- Who owns demand
- Each seller
- The portal
Escaping crowded red oceans
Professors W. Chan Kim and Renée Mauborgne, in their book Blue Ocean Strategy, split markets into two kinds of water. A red ocean is an established industry where companies fight over the same customers with the same tools, so every gain for one rival is a loss for another and the water turns red. A blue ocean is market space that a company creates by changing what the industry offers, which leaves competition temporarily irrelevant.
![W. Chan Kim and Renée Mauborgne [mat:img1]](https://gurwi.com/api/files/orgs/3c969c06-4ae4-45f8-8baf-2e37e331e120/assets/03929b72-e412-484c-9add-28667958ade2.jpg)
Red-ocean tactics are familiar. Firms cut prices, add features, outspend each other on advertising and benchmark themselves against the leader. Margins shrink because customers can always find a near-identical alternative. Budget airlines in a price war over the same routes show the pattern well.
The authors' favorite example is Cirque du Soleil. Traditional circuses were shrinking, squeezed by costly animal acts and star performers. Cirque dropped the animals and the star system, kept the tent and the acrobatics, and added storylines, original music and theatrical staging. It drew adults who would never buy a circus ticket and charged them theater prices. The company improved on neither circuses nor theaters, and instead combined elements of both into something new.

The method behind it, called value innovation, asks four questions about an industry's standard offering. Which factors should be eliminated, which reduced, which raised and which created from scratch? Cutting costly features that customers barely value pays for new ones they do, so cost falls while value rises.
- Cirque du Soleil vs. traditional circus
- Net value minus cost
- Cost
- Buyer value
- Strategy curve
- Eliminate
- Reduce
- Raise
- Create
- Drop what costs most
- Cut below standard
- Lift above standard
- Add what is new
- Animal acts
- Star performers
- Aisle concessions
- Multiple show arenas
- Fun and humor
- Thrill and danger
- Unique venue
- Refined environment
- Tent and acrobatics
- Theatrical theme
- Storyline
- Original music
- Traditional circus
- Cirque du Soleil
Blue oceans do not stay blue forever. Once a new space proves profitable, imitators arrive, and that is where the moats from earlier pages decide whether the pioneer keeps its lead.
Timing and category creation
The same idea can fail in one decade and win in the next. Webvan delivered groceries ordered online in the late 1990s and collapsed in 2001, after spending heavily on warehouses while few households shopped online and smartphones did not exist. Instacart offered a similar service from 2012 and grew quickly, riding phones in every pocket, cheap mobile payments and shoppers already used to ordering online.

Good timing usually rests on an enabling change that makes the product newly possible or newly cheap. Smartphones with GPS made ride-hailing workable, cloud computing let small teams run software that once required their own data centers, and recent advances in artificial intelligence opened categories that were science fiction a few years earlier. Regulation, demographics and shifts in habit act as tailwinds too.
- Two parallel lanes comparing 1999 and 2012 market readiness
- WEBVAN
- INSTACART
- Unavailable
- Ubiquitous
- GPS
- 4G
- Phones
Founders then face a choice about categories. Joining an existing category means buyers already understand what you sell and have budgets for it, though you start next to incumbents. Creating a new category lets you define the rules and become the name people associate with it, as Salesforce did when it pushed the idea of business software delivered over the internet. The cost is educating a market that does not yet know it has the problem, which takes money and patience, and early pioneers sometimes pay for that education only to see a later entrant collect the reward.
The operator's strategic stress test
The frameworks become useful when you run a real decision through all of them. Suppose a team is choosing between two roadmaps, a general note-taking app and a tool that manages maintenance records for small aviation repair shops. A stress test asks five questions in sequence.
First, is the obtainable market big enough? A bottom-up count of repair shops, price and realistic win rate may show a modest SOM, while the note-taking app has a huge TAM and a crowded SOM. Second, is there a beachhead the team can dominate? Repair shops are a tight community bound by strict regulators, while note-takers are everyone and no one.

Third, what moat will hold once rivals notice? Maintenance logs tied to regulatory audits create switching costs, whereas notes export to a competitor in minutes. Fourth, which architecture fits? The aviation idea is vertical SaaS with room to add parts ordering or a marketplace for mechanics, while the note app is horizontal and must win on brand and distribution. Fifth, is the timing right and is the water red or blue? A crowded note-taking market with many free products sits deep in red water.
| Question | Note-taking app | Aviation maintenance tool |
|---|---|---|
| Obtainable market | Large but crowded | Small but reachable |
| Beachhead | Unclear | Tight professional community |
| Moat | Weak, easy export | Regulatory records lock in |
| Architecture | Horizontal SaaS | Vertical SaaS, add-ons later |
| Competitive water | Red ocean | Open space |
No single answer settles the decision. A huge market with no moat invites a race to zero profits, and a strong moat around a tiny market caps the company forever. Capital belongs where an obtainable market, a defensible position and a fitting model line up, and the founder from the first page who builds the chore app would have seen the warning signs at the second question.
Sources
References
- www.productstrategy.co · 7-powers-hamilton-helmerBuilding your strategic moat – a review of 7 Powers by ... — 2021
- 7 Powers PDF Hamilton Wright Helmer - cdn.bookey.app
- 7 Powers, by Hamilton Helmer - Evan's Notes - Substack — 2022
- Understanding Hamilton Helmer's 7 Powers for Investors — 2025
- The 7 Powers Known to Tesla, Pixar, Netflix, Apple & Twilio - NFX — 2021
- 7 Powers - Hamilton Helmer - Squarespace
- How Aggregators Turn Traffic... — 2018
- What Is Aggregation Theory? Definition & Practice | Vircon — 2026
- www.antoinebuteau.com
- Must-Read: Ben Thompson: Defining Aggregators - Equitable Growth — 2017
- Lessons from Ben Thompson - Antoine Buteau — 2025
- Business Lessons from Ben Thompson of Stratechery — 2017
Audiovisual sources
- File:Estrategiadooceanoazul.jpg — W. Chan Kim e Renée Mauborgne, Wikimedia Commons · Public domain
- fortune.com — fortune.com
- en.wikipedia.org — en.wikipedia.org
- Renee Mauborgne — blueoceanstrategy.com
- Renée Mauborgne Keynote Speaker and Blue Ocean Strategy co-author — aurumbureau.com
- Renée-Mauborgne — londonspeakerbureauasia.com
- Chan Kim Profile Picture — londonspeakerbureau.com
Frequently asked questions
What is the difference between TAM, SAM and SOM?
TAM is the total revenue available if every possible customer in the world bought your product. SAM is the slice your actual product, pricing and distribution can reach today. SOM is the share of that slice you can realistically win in the next few years against existing competitors.
How do you calculate SOM with a bottom-up estimate?
A bottom-up estimate starts from the unit that pays: count the customers matching your profile, multiply by the annual price each would pay, and apply a conversion rate based on sales capacity. For example, 20,000 clinics at $3,000 a year with 5% conversion gives about $3 million in obtainable revenue.
What is a beachhead market and why does it matter?
A beachhead market is a narrow group of customers a startup can dominate before expanding. It brings early revenue, deep customer learning, and credibility that helps enter adjacent segments. Facebook launching only for Harvard students in 2004 is a classic example.
What is an economic moat?
An economic moat is a durable advantage that protects a company's profits by making competition expensive. It answers whether customers and margins would survive if a well-funded rival copied your product. Examples include switching costs, network effects, scale economies, brands and control of scarce resources.
What is the difference between switching costs and network effects?
Switching costs are specific to each customer and describe what that customer loses by leaving, such as data, workflows and integrations tied to the current supplier. Network effects are ecosystem-wide: the product gains value for every user as more users join, so a challenger with fewer participants offers less even with better features.
