Why PriceLabs May Not Always Suggest the Best Price

PriceLabs is one of the most popular pricing tools used by Airbnb hosts, property managers, and short-term rental operators.

Its goal is simple:

Help hosts automate pricing decisions and react to changing market conditions.

For many users, it works well.

However, after reading discussions in Airbnb Facebook groups, Reddit communities, and host forums, one concern appears repeatedly:

Hosts do not always understand why PriceLabs recommends a particular price.

The Black Box Problem

When PriceLabs recommends a nightly rate, the host sees the result.

What is often missing is a clear explanation of how that number was determined.

For example:

• Which competitors influenced the recommendation?

• How similar are those competitors?

• Was the recommendation influenced by local events?

• How much weight was given to occupancy trends?

• Is the system prioritizing occupancy or revenue?

The recommendation may be correct.

But many hosts still want to understand the reasoning behind it before adjusting their prices.

Local Knowledge Can Beat Algorithms

Pricing software has access to large amounts of data.

But hosts often know things that software cannot easily understand.

For example:

• a popular event coming to town,

• a new attraction opening nearby,

• a recently renovated property,

• a change in local demand patterns,

• a competitor temporarily leaving the market.

These factors can significantly influence pricing decisions.

That is why many experienced hosts use pricing software as a reference rather than blindly accepting every recommendation.

The Same Price Does Not Fit Every Property

One common concern raised by hosts is that properties that appear similar on paper are not always direct competitors.

For example:

• a luxury apartment may be compared with a standard apartment,

• a private villa may be compared with smaller homes,

• a highly rated property may be compared with listings that have few reviews.

If the comparison set is not accurate, the resulting price recommendation may not reflect the true value of the property.

This is especially important for hosts operating unique or premium listings.

More Occupancy Is Not Always More Revenue

Many hosts assume that if a pricing tool increases occupancy, it must be doing its job correctly.

But pricing is more complicated than that.

Consider two scenarios:

• A property charges €100 per night and achieves very high occupancy.

• The same property charges €130 per night and achieves slightly lower occupancy.

The second scenario may generate higher revenue despite having fewer booked nights.

This is why some hosts believe pricing tools can occasionally be too conservative.

A lower price may increase bookings, but it can also reduce total earnings.

Why Many Hosts Still Check Competitors Manually

Even hosts who use professional pricing software often continue to monitor competitors themselves.

They want to understand:

• what nearby properties are charging,

• how the local market is moving,

• whether their listing is above or below market benchmarks,

• how their prices compare with similar properties.

The recommendation becomes much easier to trust when it can be verified against real market data.

Hosts Need Context, Not Just a Number

The biggest challenge with any automated pricing system is not whether the suggested price is high or low.

The challenge is understanding the market context behind that suggestion.

Before changing prices, many hosts want answers to questions such as:

• Which properties am I competing against?

• How many competitors are available?

• Am I priced above or below the market?

• What does the local market actually look like?

Without this information, it is difficult to evaluate whether a recommendation makes sense.

A Different Approach to Pricing Analysis

This is one of the reasons Corate was created.

Instead of providing automated pricing recommendations, Corate focuses on market transparency.

It helps hosts understand:

• nearby comparable properties,

• local market benchmarks,

• aggregated pricing trends,

• how many dates are priced above or below the market.

The goal is not to replace pricing software.

The goal is to provide the information hosts need to make better pricing decisions themselves.

Final Thoughts

PriceLabs is a powerful tool and has helped many hosts improve their pricing strategy.

However, no algorithm can fully understand every property and every local market.

The most successful hosts often combine:

• pricing software,

• competitor analysis,

• market benchmarks,

• local knowledge.

Automated recommendations can be valuable.

But understanding why a particular price is recommended is often just as important as the recommendation itself.

Before changing your prices, make sure you understand the market behind the number.