Hotel Room Pricing Assistant
Hotel room pricing assistant that suggests a nightly rate from your BAR, current occupancy and days until arrival, with the reasons behind each change. Free, no sign-up, runs in your browser.
Market Context
What % of rooms are already sold for this date?
Your standard rate for this season.
Ready to price
Enter your occupancy and lead time data to get an instant recommendation.
How this pricing assistant works
This tool gives a fast pricing suggestion using three inputs you can observe without a full RMS: your base rate (BAR), how full you already are for the date (occupancy), and how close you are to arrival (lead time). The output is a directional recommendation—use it to sanity-check a rate change, not to replace your full revenue strategy.
A simple rule of thumb: if you’re filling fast and close to arrival, you can often hold or increase rate. If pickup is slow far out, consider improving value (packages, fences, channels) before discounting.
Best practices (quick checklist)
- Check comp set: rate moves work best when you understand market context.
- Use fences: prefer discounts with conditions (advance purchase, non-refundable) to protect ADR.
- Watch cancellation risk: high occupancy with flexible terms can drop suddenly—monitor net pickup daily.
- Track outcomes: after a rate change, compare pickup and ADR against the prior week for the same arrival dates.
What is a hotel room pricing assistant?
A hotel room pricing assistant is a rule-based tool that suggests a nightly rate for a future date by adjusting your best available rate (BAR) for occupancy and lead time. It measures how much demand is already on the books and how much selling time remains. Hoteliers use it to make consistent rate decisions quickly, especially without a full revenue management system (RMS).
Formula
Suggested rate = BAR × multiplier, where multiplier = 1.00 + adjustments
Occupancy above 90% adds 0.20, above 75% adds 0.10, and below 30% subtracts 0.10. One lead-time rule can also apply: +0.05 under 2 days out with occupancy above 70%, −0.05 under 7 days out with occupancy below 50%, or +0.10 more than 60 days out with occupancy above 20%.
Worked example: pricing a $120 BAR
- With the default inputs (BAR $120, occupancy 65%, 14 days until arrival) no rule applies, so the multiplier is 1.00 and the suggestion is $120, labelled "Standard".
- A date that is nearly full: occupancy 92%, 14 days out. The multiplier is 1.20, so the suggestion is $120 × 1.20 = $144 ("Premium", High confidence).
- Strong early pickup: occupancy 35%, 70 days out. Only the early-pickup rule applies: $120 × 1.10 = $132.
- A soft date close in: occupancy 25%, 5 days out. Both low-demand rules apply: $120 × (1 − 0.10 − 0.05) = $120 × 0.85 = $102 ("Discount").
Across these four scenarios the same room ranges from $102 to $144, so knowing occupancy and lead time for each date matters as much as the base rate itself.
How to read your result
- "Premium" means the multiplier is above 1.00; consider raising BAR or closing your lowest discounted rates for that date.
- "Discount" means demand is soft. A fenced offer (non-refundable, minimum stay, package) often fills rooms with less ADR loss than an open price cut.
- "Standard" means no rule fired; keep BAR and recheck as the date gets closer, because occupancy and lead time both change daily.
- Rules stack additively, so the suggestion never moves more than 30% above or 15% below BAR.
Frequently asked questions
How do I set my best available rate (BAR)?
Start from what similar nearby hotels charge for the same dates and room type, then adjust for your location, reviews and amenities. Check that BAR covers your cost per occupied room plus distribution costs such as OTA commission.
Should I lower my rate when occupancy is low?
Not automatically. Far from arrival, low occupancy may simply reflect your normal booking window. Close in, a targeted or fenced discount is usually safer than cutting the public rate for everyone.
What is lead time in hotel pricing?
Lead time is the number of days between today (or the booking date) and the arrival date. Different guest segments book at different lead times, so the same occupancy can mean different things at 60 days versus 3 days out.
How do I know if a rate change worked?
Compare pickup (rooms booked) and ADR for the affected dates in the days after the change against the same period before it. Also watch RevPAR, which combines occupancy and ADR into one figure.