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Blog › How PropertyAlert Actually Calculates Serviced Accommodation Profitability

How PropertyAlert Actually Calculates Serviced Accommodation Profitability

How PropertyAlert Actually Calculates Serviced Accommodation Profitability
Photo: Aaron Huber / Unsplash

Most serviced accommodation profitability guides give you a formula and leave you to plug in your own guesses for nightly rate and occupancy. Here's what PropertyAlert actually does differently — the real cost model and real data sources behind every SA cashflow figure on the platform.

The Core Cost Model: 12% All-In, Not a Guess

Every SA cashflow projection on PropertyAlert uses the same fixed formula:

Net monthly income = Gross monthly income × 0.88 − £150 utilities − monthly service charge

The 0.88 figure comes from a 12% all-in management fee that bundles platform costs,
day-to-day management, and cleaning into a single number, rather than listing them
separately and hoping you remember to add them all up. It's deliberately simple and
deliberately conservative — a genuinely hands-off, fully-managed setup (the realistic
case for most R2SA investors who aren't managing the property themselves) sits close to
this figure, and it doesn't vary property-by-property based on optimistic assumptions.

Where the Numbers Actually Come From

The nightly rate and occupancy figures feeding that formula aren't estimates — they're
pulled from a ranked cascade of real market data sources, checked in this priority
order for every postcode sector:

  1. airroi_live — live, current Airbnb market data (highest priority)
  2. inside_airbnb — a well-established open dataset of real Airbnb listings
  3. interpolated — a calibrated estimate built from nearby sectors with real data
  4. scrapingbee / scrapingbee_outward — raw scraped Airbnb headline prices, used
    only as a last resort

That ordering matters: raw scraped headline prices tend to be luxury-biased (they
capture the listings that show up first in a search, which skew toward premium
properties), so they're deliberately ranked below calibrated sources rather than
trusted at face value. As of today, this cache covers over 550 UK postcode sectors.

The Safeguard Most Calculators Skip: Rate Ceilings

A raw market-average nightly rate can still overstate what a typical property will
actually achieve, especially in city centres where a handful of premium listings pull
the average up. PropertyAlert applies a hard ceiling by postcode prefix at projection
time — for example, central London (EC, WC1, W1) is capped around £280–£350/night,
Manchester and Birmingham centres around £150–£180/night, and everywhere else defaults
to a £130/night ceiling unless the area has its own defined cap. This doesn't touch the
underlying cached data — it only stops an unrealistic projection from being shown to an
investor evaluating a specific deal.

Why This Matters Before You Commit to a Rent-to-SA Deal

R2SA has no mortgage to fall back on if the numbers are wrong — you're committed to a
rent payment to the landlord regardless of occupancy. A profitability check that's built
on a single optimistic nightly-rate assumption, rather than real market data with a
built-in safeguard against overstatement, is the single most common way R2SA deals go
wrong in year one. Every property on PropertyAlert's SA deals dashboard shows
this cashflow projection automatically, alongside the underlying occupancy rate and data
source, so you can see exactly which of the priority tiers above the number for a given
property is actually coming from — not just a final figure to trust blindly. For how
this compares to other SA and property-data tools on the market, see
the best UK tools for checking serviced accommodation profitability.

Related reading

PropertyAlert.uk provides market intelligence and algorithmic estimates only. Nothing on this page is formal financial, investment, or RICS-standard survey advice -- always verify figures independently and consult a qualified professional before making a property investment decision.

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