From Excel Formulas to Market Data: How Favorent Grew Revenue by 15% With PriceLabs

About the Business

Favorent manages over 700+ vacation rental properties across Germany, handling the full operation on behalf of owners, from marketing and guest relations to on-site services.

Instead of charging a percentage of revenue, Favorent works on a fixed-fee model. Any additional revenue generated through stronger management and tools like PriceLabs stays with the property owner.

The goal is straightforward: make owning a vacation rental feel as hands-off as a financial investment, while running it with the rigor needed to maximize revenue.

The Challenge

When Favorent started, fixed seasonal price lists were still the norm across the vacation rental industry. The team knew that approach didn't reflect how quickly demand could change.

With no pricing software that matched how it wanted to work, Favorent built its own Excel-based pricing automation. Over time, the team developed its own point of view on questions like:

• How far in advance different weeks typically book
• When lowering prices helps capture demand, and when it simply leaves revenue on the table
• How seasonality, day of the week, and lead time should each affect rates

The challenge was never convincing Favorent to adopt dynamic pricing. The team was already doing it. What it needed was a platform sophisticated enough to build on the pricing logic it had developed itself.

How PriceLabs Helped

When Favorent found PriceLabs, the team recognized many of the same principles it had arrived at independently. But PriceLabs brought something the internal system couldn't: pricing technology backed by continually updated, hyper-local market data.

“We were able to implement our approaches, which have grown over the years, as a set of rules instead of submitting to someone else's logic.”

Market Data and Configuration Rules

Just as importantly, Favorent didn't have to abandon its existing approach. PriceLabs' configuration options let the team translate its proven pricing practices into rules and keep applying its own revenue management logic on top of the platform.

Customer API

For Favorent, the value also extends beyond standard pricing workflows. The team uses the PriceLabs API and works directly with PriceLabs on more complex questions and use cases as they come up.

The Results

Favorent wasn't comparing PriceLabs against static pricing. Its existing system already accounted for seasonality, day of the week, and lead time, which is what makes the improvement after switching so meaningful.

• Revenue increased by 15% after Favorent started using PriceLabs and its pricing automation capabilities
• The team kept full control of the pricing rules and philosophy it had spent years building
• Pricing decisions are now backed by continually updated, hyper-local market data, without the time-consuming daily manual adjustments the team previously had to make

For the team, the result validated the decision to move from a system it had built itself to a platform that combined its existing pricing philosophy with deeper market data and greater flexibility.

Advice for Other Operators

Favorent's experience also shapes how the team thinks about revenue-growth claims in the industry.

Operators moving from fixed or poorly calibrated pricing may see very different results than operators that already have a mature revenue management strategy.

Rather than fixating on a universal percentage increase, Favorent's experience shows that the right pricing platform can improve on your current baseline while still giving your team control over the strategies and rules that make sense for your business.