How to Set the Perfect Price for Your Airbnb in Cleveland

How to Set the Perfect Price for Your Airbnb in Cleveland

Cleveland

Pricing your Airbnb property right can be the difference between a bustling calendar and empty rooms. Every day, week, and season brings different demand levels, making it tricky to know what rate your property can realistically achieve. In this guide, you'll find essential insights on all the factors that influence Airbnb pricing in Cleveland—from seasonal demand and local events to occupancy trends.

We’ll begin with some key data on Cleveland, followed by a breakdown of the three main pricing approaches for Airbnb properties, along with their pros and cons. Follow each section carefully to make the best pricing decisions and maximize your property’s potential.

Average Nightly Rate For Airbnb's in Cleveland by Season:

Here are the typical nightly rates for Airbnb listings in Cleveland across different seasons. Obvisouly, the price may vary hugely depending on the amenities offered and the property style as well location plays a key role.

As an experienced Airbnb advisor, I have compiled the most common nightly rates for properties in Cleveland, US, broken down by property type and season.
Property Type Room Count Season Nightly Rate (in USD)
Private Room 1 Summer 75-100
Private Room 1 Winter 60-80
Flat 2 Summer 100-150
Flat 2 Winter 80-120
House 3 Summer 150-200
House 3 Winter 120-180
Bungalow 4 Summer 200-250
Bungalow 4 Winter 180-220
Villa 5+ Summer 250-300
Villa 5+ Winter 220-280
Please note that these nightly rates are based on general averages and may vary depending on the specific location, amenities, and availability of the properties in Cleveland.

Occupancy Rate Trends in Cleveland:

Understand the occupancy patterns in Cleveland throughout the year. Recognizing peak and low-demand periods can guide your pricing adjustments.

Sure! Here is a summary of the occupancy rate trends for Airbnb in Cleveland, US, across the year:
Period Occupancy Rate Key Insights
High-Demand Periods Summer months (June to August) Occupancy rates are generally higher due to tourists, outdoor events, and warm weather.
Low-Demand Periods Winter months (January to March) Occupancy rates tend to decrease during the colder months, affecting demand for travel.
Major Events July 4th weekend, Cleveland International Film Festival (March), Cleveland Browns home games Occupancy rates peak during major events, attracting visitors and increasing demand for accommodations.
Weekends Friday-Sunday Weekends typically see higher occupancy rates as many guests prefer short getaways during this time.
This summary highlights the seasonal variations, major events, and weekend trends that impact the occupancy rates of Airbnb listings in Cleveland throughout the year.

Local Events that Impact Airbnb Prices in Cleveland:

These are the key events in Cleveland that affect Airbnb pricing and demand. Aligning your rates with these events can maximize occupancy and revenue.


Event Timing Influence on Demand
Rock and Roll Hall of Fame Induction Ceremony Usually held in April Significantly increases demand for Airbnb accommodations as fans travel to Cleveland for the ceremony. Prices tend to surge during this time.
Cleveland International Film Festival Typically in March Brings in a large number of visitors, including filmmakers, actors, and movie enthusiasts, resulting in a spike in demand for Airbnb listings in the city. Prices may rise during the festival period.
Cleveland Orchestra performances Throughout the year Major performances by the renowned Cleveland Orchestra can attract music lovers from around the world, leading to increased demand for Airbnb stays on concert nights. Prices may see a slight increase during these events.
NBA playoff games - Cleveland Cavaliers During NBA playoff season (usually April to June) Home playoff games for the Cleveland Cavaliers can draw basketball fans and tourists to the city, causing a surge in demand for accommodations. Airbnb prices tend to rise during playoffs, especially if the team advances to later rounds.

So, How to Price it Right?

As an experienced Airbnb host, I’ve learned there are three primary methods for setting prices, each with its own advantages and challenges. Here’s a practical breakdown to help you make an informed decision and maximize your rental income.

1. Manual Pricing

With manual pricing, you select a rate for each day, week, or month on your calendar. Watch this video on how to update prices on your calendar manually.

ProsCons
Full control: Over pricing for specific dates, allowing flexibility for weekends, holidays, or peak season adjustments.Time-consuming: Frequent updates are needed, especially during high-demand periods.
Risk of leaving money on the table: Missing out on peak earnings during busy times or failing to lower prices during slower periods.
Limited market insight: Without real-time data, you risk underpricing for high-demand days or overpricing during slow seasons.

Example: Setting a flat rate of $100 per night may seem easy, but it could lead to missed opportunities. A busy weekend might warrant $150, while a slower weekday could require $90 to attract bookings.

2. Airbnb Smart Pricing

Airbnb’s Smart Pricing feature automatically adjusts rates based on local demand. Learn how to enable Smart Pricing on Airbnb.

ProsCons
Easy setup: No need for third-party tools.Priced too low: Airbnb often favors higher occupancy, leading to lower prices and, consequently, lower revenue.
Automatic adjustments: Adapts to area demand, so you don’t need to constantly update prices.Reduced control: You can set minimum and maximum prices, but the algorithm’s primary focus is occupancy over earnings.

Example: Airbnb might suggest $65 for a property that typically rents for $120. This may fill up your calendar but at the expense of significant income.

3. Dynamic Pricing Tools (Best Option)

Third-party dynamic pricing tools, like Beyond Pricing, use advanced data to set daily rates based on market conditions, similar to hotels and airlines.

ProsCons
Data-driven algorithms: Factors like local events, competitor pricing, and seasonality ensure you’re optimizing rates.Cost: Typically a small commission or monthly fee (e.g., 1% of bookings or $10 monthly).
Revenue maximization: Capture peak rates during busy times while staying competitive in slower periods.Learning curve: Getting comfortable with the tool’s settings and reports takes a little time.
Automated and customizable: Set your base price, minimums, and even specific discounts. Prices update daily.

Beyond Pricing offers features like orphan gap filling and last-minute discounts to avoid leaving money on the table. If you’re earning over $2,500 monthly, their flat $10 monthly fee is generally more cost-effective than a percentage commission.

Special Offer: Beyond Pricing offers a 1-month free trial. Follow this link to sign up and give it a try to see how it can optimize your earnings.

Practical Pricing Tips

Regardless of the method you choose, here are some practical steps for setting an effective baseline:

  1. Check the local market: Look up similar properties to get a sense of the going rate. If similar listings are priced at $100 per night, start slightly higher.

  2. Start high, adjust down: Try setting a rate of $120, then reduce it by $5 every three days until bookings pick up. This strategy helps you find the ideal rate where bookings are consistent.

  3. Focus on the nightly rate: Ignore service fees and commissions when comparing, as Airbnb automatically adds these to the listing price.

Why Pricing it Right Matters

Pricing is not just about covering your costs; it’s a key factor in your property’s visibility and booking rate. Lower prices can lead to more bookings, but balancing occupancy and rate is essential for maximizing revenue.

With a dynamic pricing tool like Beyond Pricing, you get automated, data-backed rate adjustments that help you capture the highest possible earnings while keeping your calendar full. I highly recommend Beyond Pricing as a reliable, market-savvy tool that adjusts rates in real time based on demand.

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