There are 33.2 million small businesses in the United States. Approximately 700 million people worldwide own cryptocurrency. There are 70 million crypto owners in the U.S. alone.

Those are real numbers. They're also useless for deciding whether to move on this.

You don't live in the United States. You live in a city. A specific set of neighborhoods. A drive radius that's realistic for you to cover in an afternoon without disrupting everything else in your life. The national numbers give you a sense of scale. But the question that actually matters is: what does the opportunity look like within 20 miles of where I'm standing?

I asked myself that question before I committed to this model. Here's how I thought through it, and how you should too.

Start With What's Already There — Then Realize How Little It Is

There are an estimated 2,300 businesses in the entire United States that currently accept Bitcoin directly at the local level. That's the conservative estimate from Crypto.com. Even using the broader NCA/PayPal survey figure — which captures large enterprises using PayPal checkout — true local small business penetration is below 0.01% against 33.2 million businesses.

Here's what that means at the city level.

A mid-sized American metro — a market with 500,000 to 1,000,000 people — typically has somewhere between 20,000 and 30,000 small businesses operating at any given time. That's everything from independent restaurants to auto shops to accounting firms to specialty retailers.

At 0.01% penetration, a city of 25,000 small businesses has approximately two or three businesses currently accepting crypto.

Two or three.

In an entire metro area. With tens of thousands of crypto owners living in it.

That is not a crowded market. That is an empty field.

The Targeting Framework: Not Every Business Is the Right Conversation

This doesn't mean all 25,000 businesses are viable targets. They're not. The productive approach is to define the pool before you start working it.

Four criteria determine whether a merchant is worth a conversation.

The first is average ticket size. A business where the average transaction is under $100 has less to gain from crypto acceptance, both because the fee savings are smaller in absolute terms and because the crypto-paying customer is less likely to be shopping there in the first place. A ticket above $100 is the baseline. Above $500 is where the economics become compelling fast.

The second is owner-operated. Franchise locations typically don't control their payment technology — the franchisor does. A franchise operator who wants to say yes often can't. The owner-operated business, where the person you're talking to is the person who decides, is the right target. They can say yes that day.

The third is processing fee pain. A merchant currently paying 2.5% or more on card transactions — which is most merchants outside of heavily negotiated enterprise accounts — has a financial reason to pay attention to a processing alternative. The National Retail Federation has called card processing fees the highest operating cost for most merchants after labor. That merchant is already losing money on a problem you can solve.

The fourth is customer demographic. A business whose customer base skews 25 to 50 years old is operating in the core crypto ownership window. One in three crypto owners falls in the 30 to 44 age bracket specifically. A merchant serving younger professionals is already serving people who own crypto and want to spend it.

Apply those four filters to a market of 25,000 businesses and you're not targeting all 25,000. You're targeting the several thousand that meet the criteria — and that's still an enormous number relative to what one person can work in a year.

The Verticals That Convert Fastest

The targeting criteria tell you the general profile. The vertical tells you where to start your list.

Technology and electronics retail is the fastest conversation in the market. Computer repair shops, independent electronics retailers, gaming stores, phone repair businesses. The owner profile — someone running a technology business — is categorically less resistant to new payment infrastructure than someone in an unrelated industry. The educational burden is low. The customer base is obviously tech-forward. NordVPN reported a 13% year-on-year increase in crypto transactions across 176 countries. Microsoft accepts crypto. The pattern extends directly to local tech retail.

Auto repair and specialty services is the vertical where the chargeback argument lands hardest. An independent shop owner who has had a $1,200 transmission job disputed six weeks after the car drove out knows exactly what that problem costs. You don't have to explain the value of zero chargebacks to that person. You describe it once and they nod.

Professional services with high ticket sizes — attorneys, accountants, consultants, financial advisors — sit at the intersection of high transaction values and acute chargeback exposure. A solo attorney whose $5,000 retainer gets reversed by a card network after the work is done is experiencing an existential business problem. Crypto settlement is irreversible by mathematical design, not policy. That's the central point in that conversation.

Specialty food, beverage, and local dining with younger ownership. Not every restaurant. The target is the chef-driven spot, the craft brewery, the specialty coffee shop that's become a neighborhood institution. Owners under 45, often personally holding some crypto, who have watched customers pay with their phones for everything and understand the friction of saying no when the technology to say yes exists.

Luxury retail and jewelry. High ticket, affluent customer base, concentrated crypto ownership in exactly the demographic that shops there. Ferrari, Balenciaga, and TAG Heuer accept crypto nationally. The local independent jeweler or luxury goods retailer is the equivalent conversation at smaller scale.

A Market Sizing Exercise for a Real City

Let's walk through what this looks like in a concrete example.

Take a mid-sized metro: approximately 750,000 people, roughly 25,000 small businesses operating across the city and its immediate suburbs.

Technology and electronics retail: the U.S. Bureau of Labor Statistics categorizes electronics and appliance stores at roughly 1% of retail locations nationally. At 25,000 businesses, that's 250 technology-oriented retail businesses in the metro. A conservative 30% pass the owner-operated and ticket-size filters: 75 viable targets.

Auto repair and specialty services: auto repair shops represent approximately 2 to 3% of small businesses in most markets. At 25,000 businesses, that's 500 to 750 shops. Apply owner-operated and ticket-size filters: 200 to 300 quality targets.

Professional services: attorneys, accountants, consultants, and financial advisors combined account for roughly 10 to 15% of small businesses in a typical metro. That's 2,500 to 3,750 businesses. Even a conservative filter leaves several hundred viable conversations.

Specialty food and beverage with younger ownership: harder to count precisely, but in any metro with an active food scene, a few hundred independent owner-operated spots with younger owners and $15-plus average tickets are realistic.

Luxury retail and jewelry: smaller in absolute number, but high conversion value per placement.

Add it up conservatively and a mid-sized metro has somewhere between 800 and 1,500 merchants who meet the targeting criteria across these five verticals alone. That number doesn't count health and wellness businesses, specialty services, home improvement, or the dozens of other categories that produce viable placements.

Against two or three merchants currently accepting crypto in that entire market.

The math is not subtle.

"What If Someone Else Is Already Working My Area?"

This question comes up, and I understand why. If the model is this obvious, why isn't everyone already doing it?

Most people evaluating business opportunities are still thinking nationally, not locally. And the ones who are moving are distributed across the country's 300-plus metro areas. The actual risk of meaningful overlap — two partners competing for the same small business in the same city — is minimal at current market penetration levels.

At 0.01% current acceptance among local businesses, the installed base of crypto-accepting merchants in a typical city is a handful. The unaddressed market is in the thousands. Even if three other people were actively working the same metro as you, the addressable opportunity doesn't overlap in any meaningful way for years.

The concern about competition is a reasonable instinct that applies to the wrong timeframe. It will be the right concern eventually — when penetration reaches 5 or 10 percent and the obvious merchants are already placed. We are nowhere near that. Not nationally. Not locally. Not in any market I've looked at.

How I Sized My Own Market Before Committing

Before I built this out as a model I was willing to put my name on, I did exactly this exercise for my own market.

I pulled small business counts by category. I applied the ticket-size and owner-operated filters. I looked at what the crypto ownership data suggested about the customer base in each neighborhood. I counted how many businesses I could realistically visit in a week while maintaining everything else in my life.

The number I came back to was not the national figure. It was the neighborhood-by-neighborhood count of specific business types within a radius I could cover in a car in an afternoon.

That exercise changed how I thought about the opportunity. The abstract national statistics became a specific list. A specific list became a realistic workload. A realistic workload became a business plan.

The local market analysis always surprises people when they do it honestly. The opportunity is almost never as crowded as the national noise makes it sound. In most cities, in most verticals, the field is essentially open.

Gedam Tekle is a former U.S. Marine and Oakland Police Sergeant who left law enforcement to build crypto payment infrastructure businesses. He has personally exited two eight-figure companies and helped over 4,000 entrepreneurs build residual income. He is the founder of Dividend Shift.