What is dynamic pricing?
Dynamic pricing is the practice of adjusting your nightly rate based on real-time market conditions. Hotels have done this for decades — charging more during peak demand and less when rooms would otherwise sit empty. The same logic applies to short-term rental.
For Airbnb hosts, dynamic pricing means: higher rates during high-demand periods (summer, holidays, major events), lower rates during low-demand periods (to maintain occupancy), and adjustments based on lead time (last-minute bookings, far-in-advance bookings).
The goal is not to maximise the nightly rate — it is to maximise total revenue across your available days. Sometimes a slightly lower rate that achieves 95% occupancy earns more than a high rate that achieves 70% occupancy. For Airbnb's own perspective on pricing strategies, see their pricing guidance.
Why it matters with the 70-day rule
The 70-day rule makes dynamic pricing especially critical for Danish hosts. You have a fixed supply of rental days — you cannot compensate for underpricing by simply adding more nights. If you rent out 70 days at 800 kr./night, you earn 56,000 kr. At 1,100 kr./night average (achievable through dynamic pricing), the same 70 days earn 77,000 kr. — a 37% revenue increase with zero extra effort.
The key insight: not all 70 days are equal. A July Saturday in Copenhagen is worth 2–3 times more than a Tuesday in February. Smart hosts concentrate their rental days during the highest-value periods and leave low-value dates blocked.
This is where many new hosts go wrong: they spread their 70 days evenly across the year at a fixed rate, rather than strategically selecting which days to rent and at what price.
Seasonal patterns in Denmark
Denmark's rental market has distinct seasonal tiers. Understanding them is the foundation of any pricing strategy.
Tier 1 — Peak (June–August, Christmas/New Year): Highest demand. Price 40–80% above your annual average. These weeks should always be available for rental — blocking them is the most expensive mistake a host can make.
Tier 2 — Shoulder (Easter, May, September, autumn half-term in week 42): Moderate demand. Price at or slightly above your annual average. Good occupancy is achievable with competitive rates.
Tier 3 — Low (January–March, November): Lowest demand. Price 20–40% below average. Only rent if you can achieve a rate that covers your turnover costs (cleaning, laundry) with meaningful margin. Otherwise, keep the property for personal use.
Events and demand spikes
Events create localised demand spikes that savvy hosts exploit for premium pricing. In Copenhagen: Distortion (June), Copenhagen Jazz Festival (July), Pride Week (August), major conferences at Bella Center, and FC Copenhagen/Brøndby derby weekends. In Aarhus: Festuge (August/September), NorthSide (June), Spot Festival (May).
During major events, nightly rates can double or triple. A flat normally priced at 1,200 kr. might command 2,500–3,500 kr. during Distortion week if positioned near the festival area.
Maintain a calendar of local events and adjust prices 2–4 weeks in advance. Early bird bookers get your regular rate; once demand builds, you raise the price for remaining availability. Learn more about how Airbnb's Smart Pricing tool works at their Help Center.
Tools and strategies
Three approaches to dynamic pricing: manual, Airbnb Smart Pricing, or third-party tools.
Manual pricing works if you have 1–2 properties and enjoy the optimisation game. Set a base rate, then manually adjust weekly based on demand signals (how many enquiries you get, what competitors charge, how far in advance bookings come). Time investment: 30–60 minutes per week.
Airbnb Smart Pricing is free and better than a static rate — but tends to underperform because it optimises for Airbnb's platform (maximising bookings) rather than your revenue (maximising nightly rate × occupancy). Most experienced hosts find it prices 10–15% too low during peak periods.
Professional co-hosts like Doorstep use proprietary pricing algorithms that combine market data, event calendars, competitor analysis and booking pace to set optimal rates daily. This consistently outperforms both manual and Smart Pricing approaches — typically by 15–25% in annual revenue.
Common pricing mistakes
Mistake 1: Setting one price and never changing it. Even small weekly adjustments based on demand signals can add 10–15% to annual revenue.
Mistake 2: Pricing too low during peak season 'to guarantee bookings.' High-demand dates will book regardless — underpricing them just means you earn less. If your listing books within hours of opening dates, your price is too low.
Mistake 3: Not adjusting minimum stay length by season. Peak-season weekends command premium rates for 1–2 night stays. In low season, requiring 3+ night minimums per booking reduces gap nights and turnover costs. Use our income calculator to see how optimised pricing affects your annual projection.
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