The Quibble blog
Revenue strategy, product deep-dives, and data on what actually moves rate for short-term rentals.
Revenue opportunity: prioritizing where to act
With 365 days of availability per property, a revenue manager can’t watch everything. Three ways to prioritize — and why the Revenue Opportunity Model beats chasing empty nights.
How optimization models work
Optimization means solving a function to find the point of highest expected revenue — not nudging a base price. A simple airline example shows why that distinction makes money.
Forecasting demand before it happens
By the time occupancy tells you demand shifted, the booking window has moved on. Insights forecasts the metrics that matter while you can still act.
Exploring discrete choice experiments in consumer research
Discrete choice experiments — “stated preference” research — let you test prices and derive demand curves before you change a thing. Why they’re a powerful tool for revenue management.
Does revenue management still work during COVID-19?
Forecasting assumes the past repeats — and COVID shattered that assumption. Using the 2021→2022 occupancy gap and the Omicron spike, how RM principles still guided pricing through the shock.
Customer segmentation in STR: data collection
Segmentation is only as good as the data behind it. What guest data to collect, where it comes from, and the tools — PMS, CRM, channel managers — that bring it together.
Determining seasonality in demand forecasting
Seasonality is really a data-selection problem: which slice of history best predicts what’s next. Too much data misses new trends; too little overreacts. Here’s the balance.
Revenue analytics: the right way to process revenue data
Raw reservation data isn’t built for revenue management — and the day-level pricing you need is usually lost on the way in. How sorting, proration, and real-time price capture fix it.
Demand forecasting for short-term rentals
Dynamic pricing captures 80–85% of the gains revenue management can deliver. Reaching the last 15–20% takes real demand forecasting — and that’s uniquely hard for short-term rentals.
Overcoming data availability and quality challenges
The real obstacle isn’t getting data — it’s pooling the right data and proving it works. How to handle missing data, validate with A/B testing, and keep strategies current.
Using data analytics to drive dynamic pricing
Dynamic pricing is only as good as the data behind it. How analytics — historical bookings, competitor rates, demand forecasting, and real-time signals — turns rate-setting into a science.