Before They Bought: STR Investors on the One Number That Finally Made Them Say Yes

On a Tuesday in March, a software engineer named Marcus printed out a spreadsheet and set it on the kitchen table. He and his wife had been going back and forth on this for eleven months. There were 47 versions of that spreadsheet. But this one had a number at the bottom that neither of them could argue with.

The number was 1.31.

That was the DSCR. Debt Service Coverage Ratio. For a cabin in the Smoky Mountains, on a purchase price of $450,000, the projected annual revenue of $56,200 produced enough income to cover the mortgage by a factor of 1.31. It was not a miracle. It was math. And after eleven months of circling, it finally gave Marcus a floor to stand on.

“I needed to stop wondering ‘can this work’ and start asking ‘does this specific number work,’” he said. “DSCR was the first question with an actual answer.”

He closed six weeks later.

The Question Behind Every Spreadsheet

I have spent enough time with STR investors to notice a pattern. The ones stuck in research mode are almost never missing information. They are missing a framework. They have numbers, plenty of them. What they do not have is the one number that makes the others make sense.

For some investors, that number is occupancy rate. For others, it is the revenue relative to the mortgage payment. For a few, it is literally looking at what their Airbnb host charged them per night and working backward. But in every case, there is a moment when research stops being research and starts being a decision. The spreadsheet stops generating questions and starts generating answers.

Figuring out how to decide to buy an Airbnb property is less about collecting more data and more about knowing which data to trust. Here are four investors who found their number. Four different paths. One pattern.

The Analyst Who Found His Floor

Marcus ran every market the YouTube spreadsheet tutorials recommended. Nashville, Scottsdale, Miami, Austin. He built ADR and occupancy assumptions, modeled maintenance costs, and guessed at property management fees. The problem was his model could make almost any market look good if he adjusted his assumptions by two or three percentage points.

“I was fooling myself,” he said. “I kept changing the occupancy assumption from 55 to 65 percent and suddenly everything worked.”

The breakthrough came when he stopped modeling assumptions and started working from real market data. He pulled occupancy and ADR figures for Gatlinburg, Tennessee using the StaySTRA Analyzer. StaySTRA data showed the market averaging an ADR of $282 with annual occupancy around 62 percent. That translated to roughly $56,200 in gross annual revenue on a typical listing.

He ran that against a $450,000 purchase price, 25 percent down, at a 7.5 percent rate on a 30-year note. The debt service came in around $2,373 per month. Using the standard DSCR lender income calculation, the ratio landed at 1.31. Right at the edge of qualifying, which to Marcus was the point.

The DSCR threshold most lenders use is 1.25. At 1.31, the Gatlinburg property qualified. More importantly, it gave Marcus something he had been chasing for nearly a year: a number that said yes through math instead of optimism.

“I spent months adjusting my assumptions,” he said. “This was the first time the market gave me a number instead of me giving the market a number.”

If you want to understand how DSCR loans work in practice, this firsthand account of going through the DSCR process on a first STR walks through exactly what lenders ask for and how the income calculation works at closing.

The Skeptic Whose Neighbor Had the Receipts

Danielle had watched her neighbor Carlos leave for work wearing the same hospital badge she wore. What changed is that Carlos stopped leaving. He had converted the small guest unit behind his house into an Airbnb three years earlier. Then he bought a beach property in Gulf Shores, Alabama. Then he stopped showing up on Tuesday mornings.

She invited him to lunch. Carlos brought his phone.

“He pulled up his payout history,” she said. “Not estimates. Actual deposits. The summer months were $5,400 to $6,100. The slower months were still pulling $3,800 to $4,200.”

According to StaySTRA data, Gulf Shores carries an average ADR of $322 with annual occupancy around 67.7 percent. That works out to roughly $64,000 in gross annual revenue per listing. What Carlos showed Danielle was one property performing close to that average, tracked month by month across three full years. No projections. No pro formas. Just real deposits.

“I had read everything,” she said. “But I had not seen anyone’s actual money.”

Carlos had used a straightforward filter when he bought. He would only consider markets where occupancy held above 65 percent even in the off-season. Gulf Shores had that. He did not need to model best-case scenarios because the base case was already strong enough on its own.

“There are buyers who want the best-case scenario,” he told her. “I wanted a market where the worst case still worked.”

Danielle put an offer in on a Gulf Shores property 28 days after that lunch.

The Remote Worker Who Did the Math Backward

David was staying in a cabin in Sevierville, Tennessee for a long weekend when he noticed the nightly rate on his Airbnb receipt. It was $274. His company was covering the trip. He started running numbers on his phone out of idle curiosity.

That cabin was rented to him on a Thursday. The calendar showed the previous weekend had also been booked. The following two weekends were already blocked. At 60 percent occupancy, that property was generating somewhere around $5,000 a month. He kept calculating.

“I just started doing the math backward,” he said. “What does that property cost? What is the mortgage? Is the rent covering it?”

He came home and researched Sevierville specifically. StaySTRA data for the Sevierville market shows an ADR of $293 with annual occupancy around 63 percent, which translates to approximately $60,600 in gross annual revenue on a typical listing. At that revenue level and an entry price around $350,000, the numbers support a DSCR borrower targeting the 1.25 threshold.

The insight that unlocked David’s thinking was simple: start from what a guest actually pays, not from what an investor projects. The nightly rate is real. The occupancy is measurable. Working backward from those two numbers is one of the most reliable ways to pressure-test an investment before you ever open a spreadsheet.

The Smoky Mountain corridor rewards this kind of thinking. The market runs year-round, drawing a mix of family vacations, couples on weekend retreats, and increasingly, remote workers who visited and began to wonder why they were renting instead of owning.

“Hacer las cuentas from the guest side,” David said, using the Spanish phrase for running the numbers. “That is how I finally understood what I was buying.”

He closed on a three-bedroom cabin in the area four months after that trip. He still remembers the rate he paid as a guest because it was the number that started everything.

The Couple Who Almost Walked Away

Sofia and Marco had been at this for seven months when they nearly quit. Every market they liked had something wrong with it. Too seasonal. Too competitive. Too expensive relative to what the rental market could generate. They had a budget of $400,000 and one firm goal: buy something that would cover its own costs through the slow months.

“We were ready to just put the money in a brokerage account and forget about it,” Sofia said.

What shifted was a conversation with a friend who used the StaySTRA Analyzer to filter specifically for year-round occupancy rather than peak-season revenue. She pointed them toward Corolla, North Carolina.

What they found stopped them from walking away.

StaySTRA data for Corolla shows an average ADR of $442 with annual occupancy around 76 percent. That combination produces roughly $77,000 in annual gross revenue per listing. More importantly, the occupancy held up in the shoulder months in a way that the markets they had been studying simply did not.

“We had been chasing the high summer months,” Marco said. “Corolla showed us that the right question was not which market had the best August. It was which market had the most tolerable February.”

The 76 percent annual occupancy figure was the number that changed everything. It meant that even in slower months, the property was generating meaningful income. That consistency was what their budget required. For context on what a strong annual return looks like across different STR property types, this breakdown of what good ROI means by market type lays out the benchmarks clearly.

Sofia laughed describing the moment they saw the Corolla numbers. “Finalmente,” she said. “Por fin. That is Spanish for ‘finally.’ It was the first word out of my mouth.”

They closed at $395,000. Revenue in year one came in above what the data had projected.

What Separates Markets That Work From Markets That Do Not

Every investor in these stories found their number a different way, but the underlying logic was the same. They were looking for a market where the revenue could carry the cost of ownership without depending on exceptional conditions.

Markets where the DSCR breaks down share a common characteristic: the entry price outpaces what the rental market will support. Miami, for example, produces an ADR around $275 with occupancy near 68 percent, which generates roughly $48,000 in gross annual revenue per listing. That is workable on a $280,000 property. But most STR-viable properties in Miami are not selling at $280,000. When the entry price climbs to $600,000 or $700,000, the debt service overwhelms the income regardless of how solid the occupancy looks.

Scottsdale follows a similar pattern. An ADR around $297 with 68 percent occupancy produces roughly $50,000 in annual revenue. At $350,000, manageable. At $550,000 or above, the math breaks regardless of the market’s other qualities.

Beach and mountain destinations in the mid-price range tend to produce the strongest DSCR outcomes because they pair achievable entry prices with consistent occupancy. StaySTRA data across market types shows beach destinations averaging around $71,000 in annual gross revenue, mountain markets around $64,000, urban markets around $49,000, and rural markets around $46,000.

The RevPAR picture reinforces this. A strong beach market like Destin, Florida produces RevPAR of around $264 per night (based on an ADR of $364 at 72.7 percent occupancy). A comparable urban market might produce RevPAR of $140 to $180, even with similar occupancy rates, because the nightly rate ceiling is lower and the entry price is typically much higher.

Four Markets Where the Numbers Work: StaySTRA Data

Source: StaySTRA market data

None of these are the highest-revenue destinations in the country. What they represent is what a viable STR investment looks like in practice: reasonable entry prices, consistent occupancy across seasons, and revenue figures that produce a DSCR above the 1.25 threshold most lenders require.

How to Know When You Have Seen Enough to Act

There is a version of research paralysis that looks exactly like diligence. You keep pulling more data, listening to more podcasts, reading more forum threads. But the question you are actually avoiding is whether the numbers in front of you are good enough.

Here is a practical test. Run the market you are considering through a DSCR filter. If the projected annual revenue, based on the market’s actual StaySTRA occupancy and ADR data, produces a DSCR above 1.25 on the specific property you are considering, you have a deal that works on the financial fundamentals. You still need to verify local regulations, property management options, and physical condition. But the core financial question has an answer.

If you have been looking at a market for more than three months without moving forward, one of two things is usually true. Either the numbers do not actually work and you are hoping more research will change that. Or the numbers do work and you are waiting for permission to believe them.

The StaySTRA Analyzer was built for exactly this moment. You enter a market, and it returns the occupancy, ADR, and revenue data for that area. Cross-reference that against your financing assumptions and you have a real DSCR calculation based on market reality, not optimistic modeling. For a complete walkthrough of the buying process from first market screen through closing, this step-by-step guide to buying an Airbnb property in 2026 covers the full sequence, including how to structure your due diligence so you are not circling the same questions indefinitely.

The investors in these stories all had access to the same data you have right now. What changed for each of them was the moment they stopped using research as a substitute for the decision and started using it as the instrument to make the decision.

That shift usually comes down to one number. Finding yours is the job.

We do our best to keep our content accurate and up to date, but things change and we are only human. Always verify details directly with local sources before making decisions.