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Seasonal & Weekday/Weekend Pricing Planner

Plan weekday, weekend and peak-season pricing together and see the blended average rate and revenue it adds up to over a year.

Why price in tiers instead of one flat rate

Demand for short-term rentals isn't flat across the week or the year — weekends and peak travel seasons routinely book out at higher prices than midweek stays in the off-season. Setting a single flat rate either leaves money on the table during high-demand nights or prices you out of bookings during slow ones.

The blended rate is your real planning number

Once you mix weekday, weekend and peak pricing together across a real year of bookings, the average you actually earn per night — the blended rate — is usually different from any one of the individual rates. That blended figure, not the peak-season headline rate, is the honest number to use when budgeting.

Frequently asked questions

How do I estimate how many nights fall into each category?

Count weekday nights (Sunday–Thursday) and weekend nights (Friday–Saturday) across the months you expect to be active, then carve out whichever weeks count as your peak season — holidays, local events, or your area's high travel season — and subtract those nights from the weekday/weekend totals so they aren't double-counted.

What multiplier should I use for weekends?

There's no universal number — it depends on your market's demand pattern. A common starting point many hosts use is somewhere around 1.15× to 1.4× the weekday rate, then adjusting up or down based on how quickly weekend dates actually book relative to weekdays.

Does this tool guarantee I'll actually book all those nights?

No — the nights you enter are your own booking projection, not a guarantee. It's worth being conservative with peak and weekend night counts the first time you run this, then refining the inputs once you have a season or two of real booking data.

Can I use this for a mid-season or shoulder-season tier too?

This tool models three tiers, but you can approximate a shoulder season by blending it into either the weekday or peak-season inputs with an adjusted multiplier and night count that reflects its in-between pricing.

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