How to Analyse a Short-Let Investment Before You Buy

Most property investors apply buy-to-let logic to short-let decisions, and that mismatch causes more failed investments than almost anything else. Short lets are an operational business layered on top of a property asset, and the analysis has to reflect both sides of that equation.

A standard buy-to-let assessment is relatively straightforward: annual rent divided by purchase price gives you gross yield, and you stress-test against void periods and interest rate changes. Short lets require a more granular model because revenue is not fixed. It varies by night, by season, by local demand, and by how well the property is managed and listed. A flat in central Manchester might generate £38,000 in gross bookings one year and £29,000 the next if a competitor building opens nearby or if platform algorithm changes reduce your visibility.

The other difference is that operating costs are substantially higher. You are paying for cleaning, linen, consumables, platform fees, management fees if applicable, and a higher rate of maintenance wear. A long-let landlord might spend 15 to 20 percent of rent on costs excluding finance. A short-let operator should budget 40 to 50 percent of gross revenue on operating costs before mortgage payments. If you are modelling on gross income and forgetting this, your numbers will not survive contact with reality.

The most reliable starting point is AirDNA or AllTheRooms data for the specific postcode or neighbourhood you are targeting. These tools pull from live listing data and give you average daily rates and occupancy figures for comparable properties. They are imperfect but directionally sound. For a two-bedroom apartment in the Digbeth area of Birmingham, for example, AirDNA was showing average daily rates of around £95 to £110 and occupancies of 68 to 74 percent across 2024, which translates to roughly £24,000 to £29,000 in gross annual revenue. That is the range you should be modelling from, not the top-performing outlier.

The mistake most first-time buyers make is finding the highest-earning property in the area on Airbnb and assuming they can match it. That top-performing listing has probably been operating for three or more years, has 200-plus reviews, Superhost status, and a host who has optimised every detail of the listing and pricing strategy. A new property launching cold will sit below that benchmark for at least six to twelve months. Model conservatively and treat the upper end of the market as a ceiling you work towards, not a starting point.

One cross-check worth doing: identify five to ten active listings in your target area that are comparable in size and quality, and look at their calendars. If you can see a pattern of consistent bookings four to six weeks out, demand is healthy. If you see lots of availability inside two weeks and very little booked ahead, that is a market where hosts are struggling to fill at their listed rates and are likely discounting heavily at the last minute. This calendar-reading approach is something experienced operators use routinely and is not something most investment guides mention.

Platform-reported occupancy figures and third-party data tools often overstate real occupancy because they include blocked dates in the denominator inconsistently. A host who blocks out three weeks a year for personal use will show a different occupancy figure depending on how the tool interprets those blocks. When you are building your own model, use available nights as the denominator and apply a realistic booking rate.

For most UK city-centre markets, a well-managed one or two-bedroom property should realistically achieve 70 to 80 percent occupancy once established. Markets with strong leisure demand, such as Edinburgh, Bath, or parts of the Cotswolds, can sustain higher rates. Markets that are primarily driven by contractors or corporate travellers, such as parts of Sheffield or Sunderland, can be more volatile and are more sensitive to a single employer leaving or a contract ending. Knowing what is driving demand in your target area is as important as knowing the occupancy number itself.

Most pre-purchase models underestimate three specific costs: cleaning, maintenance, and platform fees. Cleaning costs for a two-bedroom property in most UK cities run between £60 and £90 per turn, including laundry. At 70 percent occupancy with an average stay of three nights, that is roughly 85 cleans per year, which is £5,100 to £7,650 annually in cleaning costs alone. Add linen replacement, consumables restocking, and occasional deep cleans and you are looking at £7,000 to £9,000 per year for a two-bedroom property in most cities.

Platform fees sit at 3 percent for hosts using Airbnb's simplified pricing model, but if you are using a property manager or channel manager across multiple platforms, the blended cost including software, payment processing, and OTA fees can reach 18 to 22 percent of gross revenue. Management fees from a reputable UK short-let agency typically run between 18 and 25 percent of revenue on top of that, so if you are planning to use full management, you need to factor in a combined deduction of around 20 to 28 percent before you even touch maintenance and cleaning.

For a more detailed view of how management costs stack up, the Truestays resources section has up-to-date guidance on what different service levels typically cost and what you get for each.

Purchase price matters, but it is not the most important variable in short-let analysis. Two identical flats with identical purchase prices but different locations can produce wildly different results. The signals that actually predict short-let performance include: proximity to major transport hubs or city-centre attractions, the density of existing short-let supply relative to visitor demand, whether the area has Article 4 restrictions in place or pending, and the strength of the non-tourism demand base (universities, hospitals, corporate headquarters).

Article 4 directions, which remove permitted development rights and require planning permission to use a property as a short let, are now active in parts of Edinburgh, London, and several other cities, and are being considered in more areas as local authorities respond to housing pressure. Buying in an area where Article 4 is pending without understanding the implications can render your investment model invalid within twelve months of purchase. Always check the local planning authority's position before committing. This is a legal and planning matter, so seek professional advice for your specific situation.

Cities like Leeds and Liverpool still have relatively open short-let environments compared to London or Edinburgh, which makes them attractive for new investors, but that openness can change quickly if local authorities decide to act. Building your analysis around current conditions while stress-testing against a scenario where restrictions tighten is good practice.

A properly stress-tested short-let investment should survive three scenarios: a 20 percent drop in average daily rate, a drop in occupancy to 55 percent, and the loss of the furnished holiday lettings tax treatment if that currently forms part of your return calculation. The FHL regime was abolished in April 2025, so any model that was built around FHL tax advantages needs to be revisited under the new rules. Speak to a tax adviser about how this affects your specific position before purchasing.

The properties that survive all three stress scenarios with positive cash flow after finance costs are genuinely robust investments. Most do not pass all three. That does not necessarily mean you should not buy, but it does mean you need to be honest about what you are relying on: capital growth, operational excellence, or favourable market conditions. Each of those carries different risk profiles and different implications for how you manage the asset.

If you are looking at a specific city and want to understand what a property in your target area could realistically earn, Truestays offers a free income estimate based on live market data. It is a useful sense-check before you run your own full model. You can find out more at the Truestays pricing page.