Dynamic apartment pricing: Why the same rate all summer doesn't work

A common question for new vacation rental hosts is: "How much should I charge per night?"

The answer is always complex: "It depends."

It depends on location, size, season, day of the week, local events, nearby competition, and a dozen other factors. A single fixed price for the entire summer almost certainly means lost revenue—one way or another.

— 01The problem with fixed pricing

Imagine a typical scenario: an apartment in Split with a fixed rate of 100 EUR per night for July and August.

• Mid-July, during the Ultra Music Festival, similar apartments in the area are booking for 150-180 EUR. By selling for 100 EUR, the host loses 50-80 EUR per night.
• Early June, when demand is lower, 100 EUR is too expensive for many potential guests. The apartment sits empty, resulting in a 100% revenue loss for those nights.

The result? Lower earnings than what the market allows. Meanwhile, fixed costs—electricity, cleaning, taxes—remain the same.

According to Hit Booker, dynamic pricing can increase annual revenue by 10-40%. This is a significant figure for any rental business.

— 02What are dynamic prices?

Instead of one price for the whole summer, dynamic pricing involves setting different rates based on multiple factors:

1. 1Season - pre-season (May-June), peak season (July-August), post-season (September-October)
2. 2Day of the week - Friday and Saturday are typically more expensive than Tuesday and Wednesday
3. 3Special dates - local festivals, holidays, sports events
4. 4Length of stay - offering discounts for 7+ nights or charging a premium for 1-2 nights

This doesn't require manual daily price changes, but it does mean establishing at least 4-5 different pricing tiers throughout the season.

— 03Step by step: How to calculate your price

1. Calculate minimum cost per night

According to C-Tourist, these are the typical costs a host needs to cover:

Assuming 100 occupied nights per year, the minimum cost per night is 25-42 EUR. Any rate below this means operating at a loss.

2. Check the competition

Open Booking.com and Airbnb. Enter the property's location and dates for each month. Analyze apartments of similar size, amenities, and distance from the center or beach.

Document the following: - Average weekday price - Average weekend price - Lowest and highest price

Avoid being the cheapest or the most expensive. Aim for the upper half of the market, but only if the property's quality and features justify it.

3. Split prices by season

Here is an example for an apartment in Dalmatia (2+2 people):

4. Add "event pricing"

Hosts should be aware of major events in their city. These are dates when prices can be raised by 30-50%:

• Ultra Music Festival (Split, July)
• Hideout Festival (Pag, June/July)
• Dubrovnik Summer Festival (July-August)
• Sinjska Alka (Sinj, August)
• Regattas and sailing competitions (various locations)
• Advent Zagreb (December)

— 04Understanding the lump-sum tax

According to the Cimerfraj calculator, the lump-sum tax amount for 2026 depends on the accommodation's location:

For an apartment with 4 beds in Split, the lump-sum tax could be 400-800 EUR per year (100-200 EUR × 4 beds). This is a key cost to factor into any pricing strategy.

— 05Tools for automatic pricing

For hosts who prefer not to manually adjust prices, several tools can automate the process:

PriceLabs - A popular choice that integrates with Booking.com and Airbnb. Its key advantage is the ability to set custom pricing rules, which is useful for locations with less market data. Price: about $20/month per unit.

Wheelhouse - Analyzes data from multiple platforms and covers over 1,500 locations in 100+ countries. Price: 1% of booking revenue.

Beyond Pricing - Known for its simplicity, making it a good option for beginners. Price: 1% of booking revenue.

All three tools connect directly to Booking.com and Airbnb profiles to update prices automatically.

— 06Trusting the data over intuition

It can be challenging to let an algorithm set prices. The initial reaction is often skepticism: "That's too low!" or "That's too high, nobody will book!"

However, the data doesn't lie. Industry analysis shows that properties using automated pricing tools consistently outperform those priced manually. For example, a common scenario is an algorithm identifying and filling 'shoulder days'—gaps between bookings that hosts might write off. By dropping the price just enough to attract last-minute guests for these specific dates, the tool increases overall occupancy and can boost revenue by over 12%.

— 07Price psychology - what guests think when they see your price

Price is more than a number; it's a signal of quality. Here is what guests often infer from different price tiers:

• Cheapest option in the results: "Something is wrong. Bad location, dirty, smells, no AC?" Most guests skip the first 2-3 cheapest listings, considering them suspicious.
• Average: "OK, a normal apartment, probably a safe choice." This price tier receives the most bookings.
• 20-30% above average: "There must be something special—either location, amenities, or a great view." Guests will click to investigate why the price is higher.
• Most expensive option: "This targets a niche market. Few guests book, but those who do have a high budget and high expectations."

Practical lesson: If an apartment's quality justifies a 95-100 EUR rate, pricing it at 89 EUR to seem "more competitive" can backfire. It may attract fewer guests by placing the property in the "suspiciously cheap" category.

— 08Last-minute strategy - when to drop the price

This is where revenue is often made or lost. If a property has empty nights 5 days out, what is the best course of action?

A recommended approach: - 5-7 days before: Drop the price by 10% to test the market response. - 3-4 days before: Implement a 20% drop for a more aggressive push. - 1-2 days before: A 30-40% drop is warranted. Half the revenue is better than none. - Same day: A maximum 50% discount from the original price can capture last-minute bookers who expect significant savings.

— 09Example pricing structure

Based on market data for a typical apartment in Dalmatia (2+2 people), a successful pricing structure might look like this:

This table is a guide, not a rigid rule. The numbers will vary based on a property's specific location, amenities, and local competition.

— 10How to track your earnings

At the end of the season, a thorough financial review is essential:

• Calculate total revenue from all overnight stays.
• Subtract all costs (taxes, electricity, cleaning, maintenance).
• Divide the result by the number of occupied nights to find the actual profit per night.

If this number is unsatisfactory, the strategy for the next season should involve raising prices, reducing costs, or a combination of both.

It is crucial to maintain records throughout the season, not retroactively in December. An Excel spreadsheet or a dedicated app works well, as long as data is entered consistently on a weekly basis.