How to Use PriceLabs to Maximise Short-Let Revenue

PriceLabs is the most widely used dynamic pricing tool among UK short-let operators, but most hosts use only a fraction of what it offers. They connect it to Airbnb, set a rough base price, and assume the algorithm will do the rest. That assumption costs real money.

PriceLabs pulls in demand data from multiple sources, including Airbnb and Booking.com listing data, local event calendars, and historical occupancy trends for your postcode area. It then suggests a nightly rate that shifts day by day based on how far out the booking window sits, what comparable listings are charging, and how many nights in your calendar remain unbooked.

The important thing to understand is that PriceLabs is not magic. It is a rules engine sitting on top of a data feed. If you feed it poor inputs, particularly a miscalibrated base price or no minimum stay logic, it will produce poor outputs. The algorithm cannot know that your Sheffield city centre apartment commands a 30% premium over the broader S1 postcode average because of its car park, its river view, or its layout that suits corporate travellers. You have to tell it, through the settings.

The base price in PriceLabs is not the price guests see. It is the anchor point the algorithm uses to calculate every other rate. Set it too low and you will fill your calendar cheaply. Set it too high and the algorithm will struggle to discount aggressively enough in slow periods. A common mistake is taking your Airbnb smart pricing suggestion as the base, which tends to be conservative and biased towards occupancy rather than revenue.

A better method is to look at your own trailing 90-day average achieved rate, stripped of any outlier event nights, and set the base around 10% below that. Then let PriceLabs push above it on high-demand dates and below it on quiet midweek nights. For a two-bedroom in central Manchester, that base might sit around £95 per night. For a similar property in central Leeds, it might be closer to £80. The gap reflects genuine demand differences that the algorithm alone cannot fully account for without a calibrated starting point. If you manage properties in Manchester, you can find more context on local rate benchmarks at Truestays Manchester management.

The Customisations tab inside PriceLabs is where experienced operators spend most of their time. These rules override or adjust the algorithm's suggestion in specific circumstances, and they are powerful.

The three most impactful rules to set up are: a weekend premium, a far-out booking floor, and a last-minute discount curve. The weekend premium ensures Friday and Saturday nights never drop below a defined threshold regardless of low demand signals, which matters because Airbnb's algorithm will sometimes suggest rates that undercut your real market position. A far-out floor prevents guests from booking six months ahead at a rate that will look very cheap once demand firms up. A last-minute curve allows the system to discount sharply in the final 72 hours to avoid dead nights.

That hard floor matters. Every property should have an absolute minimum below which it will never go, accounting for your cleaning cost, your platform fees, and your actual operating cost per night. For most UK hosts managing a one-bedroom property, that floor sits somewhere between £45 and £65 depending on location. Going below it is not a revenue strategy; it is subsidising a stay.

PriceLabs includes a Market Dashboard that shows average daily rates, occupancy rates, and booking lead times for properties similar to yours within a defined radius. This is one of the most underused features. In a city like Birmingham, where the NEC drives significant demand spikes that are entirely predictable months in advance, checking the Market Dashboard in January can tell you what weekends in October are likely to sell at a premium before the local event listings are fully confirmed. If you operate in Birmingham, the Truestays Birmingham management page covers some of the key events that affect the short-let calendar there.

One nuance worth knowing from direct operator experience: the PriceLabs Market Dashboard for UK cities tends to underrepresent higher-end properties because there are fewer of them, which means the average it shows skews towards budget and mid-tier listings. If your property is well-furnished and consistently achieves above-average ratings, you should treat the dashboard figures as a floor indicator rather than a target. Aim to sit 10 to 20% above the median for your bedroom count, not at it.

Gap nights are one of the biggest silent revenue leaks in short-let management. A gap night is a single unbooked night sitting between two reservations, which most guests will not book because it does not fit a normal stay pattern. PriceLabs has a Gap Filling feature that automatically drops the price on isolated one and two-night gaps to increase the chance they sell. It is worth enabling, but with a sensible minimum so you are not accepting a booking at a rate that barely covers your cleaning costs.

The smarter move is to pair gap filling with a minimum stay override. Rather than letting PriceLabs simply discount gap nights, set a rule that reduces the minimum stay requirement to one night for gaps of two nights or fewer. This opens those gaps to a wider pool of guests, particularly business travellers and people visiting family, who often need exactly one or two nights mid-week. In cities with strong midweek corporate demand, such as Leeds, Manchester, and Liverpool, this approach can recover six to ten otherwise-empty nights per quarter. For Liverpool-specific demand context, the Truestays Liverpool management page is a useful reference.

PriceLabs integrates directly with most major channel managers, including Guesty, Hostaway, Lodgify and Smoobu, as well as connecting natively to Airbnb and Vrbo. If you are listing on multiple platforms, the correct setup is to push prices from PriceLabs through your channel manager rather than connecting PriceLabs separately to each platform. This ensures your rates and minimum stays are consistent and that a booking on one channel instantly closes availability on all others.

A common mistake is allowing Airbnb's own smart pricing to run alongside PriceLabs. The two systems will conflict with each other and produce erratic rates. Once PriceLabs is connected, disable Airbnb smart pricing entirely inside the Airbnb host dashboard. The same applies to any native pricing tool your channel manager might offer: PriceLabs should be the single source of truth for your nightly rates.

One setting that is easy to miss: in PriceLabs, ensure you have enabled the option to also push minimum stay requirements, not just prices. By default, some integration setups only push the nightly rate. If PriceLabs is calculating that a two-night minimum should apply on a Sunday arrival but that setting is not being pushed to your listing, you will pick up the booking anyway and potentially create a gap problem elsewhere in your calendar.

If you want to see what a properly configured pricing strategy might generate for your specific property, Truestays offers a free income estimate based on real local data. Visit the Truestays pricing page to get a figure that reflects your location, property size, and the kind of occupancy a well-managed listing actually achieves.