Why Hospitality Real Estate Requires More Thoughtful Underwriting Than Most People Realize

One of the biggest mistakes I see in short-term rental investing is people treating hospitality data as static.

It isn't.

And honestly, that's one of the reasons so many people get underwriting wrong.

A lot of investors will look at a single ADR number, a single occupancy percentage, or a quick screenshot from a software platform and assume they now understand the performance potential of a property.

But hospitality doesn't behave that cleanly.

Travel is seasonal. Emotional. Event-driven. Weather-driven. School-calendar-driven. Experience-driven.

A holiday weekend at Table Rock Lake does not behave the same way as a rainy Tuesday in February. A couples-focused experiential stay behaves differently from a fishing trip. A family reunion behaves differently from a quick overnight stay.

That nuance matters.

And if you flatten all of those behaviors into one average annual number, you can miss what's really happening underneath the surface.

That's one of the reasons we've always approached underwriting differently.

Long before Victory Springs, one of the methodologies I used when helping buyers evaluate short-term rental investments was separating peak-season nights from off-peak nights rather than simply relying on one blended annual ADR. The reason is simple: not every night carries the same pricing psychology or demand profile.

Some weekends materially outperform averages. Certain experiences command premiums during very specific booking windows. Certain unit types behave differently based on trip intent.

Hospitality underwriting should reflect that reality.

Now obviously, averages and software tools still have value. They're useful for identifying broader market trends and directional movement. But I also think one of the hidden problems in the STR industry is that many platforms are ultimately purchasing or referencing similar pools of underlying data.

I've seen this firsthand.

Before Victory Springs, I served as CEO and shareholder of a short-term rental data company called Vrolio, where I worked closely with STR analytics, market reporting systems, and data aggregation methodologies. That experience taught me something important:

Data is helpful.

But context matters even more.

Because software companies cannot always understand emotional differentiation. It cannot always properly interpret unique hospitality products, highly experiential accommodations, or properties that don't fit neatly into an existing comp set.

That's where operator judgment still matters.

And honestly, I think that's one of the reasons experiential hospitality projects require a more thoughtful underwriting approach than traditional real estate.

At Victory Springs, we've focused heavily on blended comparable analysis rather than relying on a single operator, one software estimate, or one market assumption.

That means looking at:

• independent operators

• professionally managed resorts

• luxury experiential lodging

• glamping concepts

• couples-focused stays

• group travel behavior

• drive-to travel trends

• seasonal booking patterns

...and then pressure-testing those assumptions conservatively instead of simply chasing optimistic projections.

Because at the end of the day, underwriting is not about proving a deal works.

It's about understanding risks honestly.

That's a huge difference.

And frankly, I think the hospitality industry is moving toward more sophisticated underwriting because the market itself is becoming more sophisticated.

Guests are becoming more intentional. They're willing to spend on emotional value, memorable experiences, privacy, wellness, and group connection. But they're also more selective than they used to be.

That means developers and operators have to think more deeply about:

• positioning

• guest psychology

• operational consistency

• seasonality

• experience differentiation

• revenue management

• long-term brand trust

Hospitality isn't just math.

It's behavioral economics mixed with operations and emotional design.

And I think the projects that understand all three are the ones most likely to stand out over the next decade.

My final thought? Good underwriting is not about finding the highest possible projection.

It's about building a realistic understanding of how people actually travel, book, spend, and experience hospitality in the real world.

That takes more than averages.

It takes context.