Most Airbnb hosts price by feel. They look at a couple of nearby listings, pick a number that seems fair, and leave it there for a year. Then they wonder why the calendar is empty in February and fully booked at a discount during the one weekend the whole town sells out.
The idea: an Airbnb pricing calculator in Google Sheets that uses comparable listings and seasonal patterns to recommend a nightly rate, and lets the host layer in local events and their own strategy. It is number 16 on my list of 100 business ideas in Google Sheets.
There are dynamic pricing services that do this. Many hosts with one or two properties do not want to pay a monthly cut for a black box. They want to see the math.
The idea
Help Airbnb hosts set the best price for their listing. The raw material is data from similar listings: what comparable places nearby charge on a given night, and how that changes across the year. Once a host has that in a sheet, they can see seasonal trends instead of guessing them, and set a base price per season with some confidence.
Google Sheets is a good fit because the analysis is simple filtering and sorting. FILTER to pull comparable listings with the same bedroom count. SORT to rank them by price. QUERY to average rates by month. A host does not need machine learning to find out that three-bedroom places near them average $40 more a night in July than in November.
Then add the features that make it feel like a pricing tool rather than a research table. A dynamic pricing option that nudges the rate up when the host's own calendar is filling fast and down when it is not. An events tab where the host enters local holidays, festivals, conferences, and games, with a demand multiplier for each. When the sheet sees a date that matches an event, the recommended price goes up.
The last piece is strategy. Some hosts want to beat the market slightly and stay full. Some want the highest possible rate and accept gaps. Some want to fill weekdays and hold firm on weekends. Let the host pick a strategy and have the sheet adjust the recommendation accordingly. Giving them that control is what makes them trust the number.
How to build it in Google Sheets
- Settings tab. The host's listing details: bedrooms, location, cleaning fee, minimum nights, base price floor, and a Strategy dropdown (Fill the calendar, Maximize rate, Balanced) with the discount or premium each one applies.
- Comps tab. Comparable listings entered by hand or pasted from research: Listing, Bedrooms, Distance, Rating, and a column per month of observed nightly rate. This is the data a host collects once and updates every few months.
- Events tab. Event name, Start date, End date, Demand multiplier (1.1 for a small festival, 1.5 for the big weekend), Notes.
- Calendar tab. One row per night for the next 12 months: Date, Day of week, Season, Comp average, Event multiplier, Strategy adjustment, Recommended price, and a Booked checkbox for their own occupancy.
- Dashboard tab. Recommended price for the next 30 days, projected revenue at those prices, and occupancy so far this month.
Features that carry the load:
-
AVERAGEIFS to compute the comp average per month from the Comps tab, filtered to listings with the same bedroom count, for example
=AVERAGEIFS(Comps!G:G, Comps!B:B, Settings!B2)for the July column. - A lookup against the Events tab for each calendar date, so any night that falls inside an event window picks up that event's multiplier, and every other night gets 1.
- Checkboxes on the Calendar tab for Booked nights, which feeds the dynamic pricing: a COUNTIF of booked nights in the next 14 days sets how aggressive the recommendation gets.
- Conditional formatting on the Calendar tab so event nights glow and unbooked nights inside the next week turn amber.
- SPARKLINE on the dashboard for the 12-month recommended price curve, which shows seasonality in one cell.
- Data validation dropdowns for Strategy and Season, so formulas can rely on exact values.
Optional: a time-driven Apps Script trigger that emails the host every Sunday with the coming week's recommended prices. Hosts do not open spreadsheets on a schedule. Email does the remembering.
Who pays for it, and how to sell it
Hosts with one to three properties. Big operators already pay for pricing software. Small hosts are the ones doing it by feel, and there are a lot of them.
They pay for the calculation, and for the confidence. A host who raises their rate $25 a night for one event weekend has already paid for the sheet many times over, and that is the sentence to put on the sales page.
Pricing: $39 to $99 one-time is comfortable for a tool tied directly to revenue. A subscription version works if you supply something ongoing, such as a pre-filled Events tab for a specific city that you keep current each season. That could be $10 a month per city and is a product a host cannot easily replicate. A service on top is a one-hour setup call where you gather their comps and configure the sheet with them.
Sell it on Gumroad as the one-time template. For the city-specific, updated version, use OnlySheets to sell access to the live Google Sheet, so each host is shared on it automatically and sees new events as you add them.
First 10 customers: pick one city. Build the events tab for that city, then find hosts there in local host groups and forums, and show them a screenshot of the calendar with the event weekends marked up. A host who sees a local event they forgot about on your sheet is halfway to buying.
Related ideas from the list
- Physical Product Flipping Calculator, the same "show me the math" buyer in a different market.
- Business Decision Calculator, a general version of letting someone pick a strategy and see the numbers change.
- Local Business Deals, which uses the same city-by-city approach to a sellable sheet.
Want the other 99? This is one idea from my list of 100 business ideas you can build in Google Sheets. Get all 100 business ideas as a free Google Sheet.
And if you want to learn how to package and sell spreadsheets, my course Selling Spreadsheets walks through exactly that.