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    SA viability scored, opex stack applied

    Find your next Serviced Accommodation deal

    2-4 bed UK properties where short-stay rental net revenue clears 1.5x vanilla BTL. Tier-ranked daily against the live regional nightly-rate market, with the full opex stack and regulatory restrictions (Article 4, listed, lease length) already applied.

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    1.5x
    Gold tier net vs vanilla BTL
    51
    UK postcode areas modelled
    52%
    typical net margin after 48% opex

    Why serviced accommodation can multiply a BTL deal

    On the right property in the right market, short-stay net revenue clears 1.5x or better what a standard buy-to-let would yield, even after the heavier opex stack (15% platform fee, 12% cleaning, 8% utilities, 8% void, 5% sundries). The catch is that not every property — or every postcode — works. Article 4 directions in city centres restrict SA use; listed buildings block alterations; short leases kill resale. We model nightly rate, occupancy and opex against the live UK regional market across 51 postcode areas, apply the regulatory gates as hard blocks, and rank Gold / Silver / Bronze on the spread between modelled SA net and the property's vanilla BTL net.

    Regional nightly rate & location signals

    Gold: regional nightly rate >=£85, has parking or under 800m to a station. Silver / Bronze tiers cover thinner rates and weaker location signals. Each listing shows the modelled SA net beside the BTL net.

    Regulatory gates applied automatically

    Listed buildings excluded. Hard Article 4 zones for short-stay use excluded. Partial A4 restrictions tier-downgrade rather than exclude. Lease lengths under 50 years filtered out (resale risk).

    Opex stack modelled per property

    Net margin defaults to 52% after the standard opex stack: 15% platform fee (Airbnb / Booking.com / etc.), 12% cleaning, 8% utilities, 8% void, 5% sundries. Parking adds +8% to nightly rate; under-800m station access adds +5%.

    Why investors use PropAI Deals

    AI analyses 2.1M+ UK listings daily for matching deals
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    How it works

    1. 1Sign up and tell us your buying box in 60 seconds.
    2. 2We match you with every UK property that fits, scored by our AI.
    3. 3Run the numbers in our calculator and push strong deals to your pipeline.
    4. 4Make faster, better offers. Close more deals.

    Frequently asked questions

    What makes a Gold-tier SA candidate?

    Gold tier requires a 2-4 bed property in a postcode area with a regional nightly rate of £85 or higher, modelled SA net revenue at least 1.5x the equivalent BTL net, not listed, not inside a hard Article 4 zone for short-stay use, and either parking on-site or under 800m walking distance to a station. Silver covers 1.2-1.5x uplift or properties with partial A4 restrictions. Bronze covers 1.0-1.2x uplift — marginal deals where execution matters more than the listing signal.

    How accurate is the nightly rate estimate?

    Rates are pulled from a 51-postcode-area UK seed dataset (median nightly rate per bedroom band, plus median occupancy) refreshed quarterly. The model adds property-level uplifts (parking +8%, walkable station +5%) and applies a per-postcode occupancy curve. Treat the headline number as a working estimate to compare across listings, not a guarantee — your actual rate depends on listing quality, pricing dynamism and seasonality.

    What about Article 4 directions?

    Article 4 directions in city centres (Bath, Edinburgh Old Town, Westminster, etc.) increasingly restrict short-stay use by removing permitted-development rights. We cross-reference every listing against the planning.data.gov.uk Article 4 dataset. Listings inside a hard A4 zone for short-stay are excluded. Listings inside a partial / use-class-specific A4 are tier-downgraded. The licensing requirement (where it applies) is flagged in the listing detail.

    What net margin should I model?

    We default to 52% net after the standard 48% opex stack (15% platform fee + 12% cleaning + 8% utilities + 8% void + 5% sundries). On a well-located city-centre flat with dynamic pricing, gross can spike to 60% in peak season but average back to 52-55% over the year. On regional / coastal properties expect 40-50% net depending on seasonality. The calculator inside each property lets you override the opex stack per deal.

    SA only works where the numbers stack — we tell you which ones

    See every UK 2-4 bed property where the modelled SA net clears the BTL alternative, with regulatory blocks applied and opex stack on every listing.

    Browse SA candidates

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    • Property alerts
    • Weekly deals
    • Below market value
    • High yield
    • New to market
    • Meet Archie
    • Archie on WhatsApp
    • Desktop app
    • Windows app (Microsoft Store)
    • Chrome extension
    Strategies & calculators+−
    • All strategies
    • BTL calculator
    • BRRR calculator
    • HMO calculator
    • Stamp duty calculator
    • BTL candidates
    • Flip candidates
    • BRRR candidates
    • HMO conversion
    • PD conversion
    • Probate sales
    • Repossessed
    • Auction properties
    • Recently reduced
    • Motivated sellers
    • Flip calculator
    • AI refurb scan
    • Auction pack analysis
    • Property finance
    Markets+−
    • All locations
    • London
    • Manchester
    • Birmingham
    • Market stats
    • Leeds
    • Liverpool
    • Glasgow
    • Edinburgh
    • Bristol
    • Newcastle
    • Cardiff
    Learn+−
    • Academy
    • How it works
    • Glossary
    • News
    • Help centre
    • Getting started
    • Buy-to-let fundamentals
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    • BRRR masterclass
    • HMO investing
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    • Auction buying
    • Lease options
    • FAQ
    • HMRC stamp duty guide
    • HM Land Registry
    • Landlord regulations
    • Buying property guide
    Company+−
    • About
    • Features
    • Pricing
    • Developers / API
    • Contact
    • Tool comparisons
    • Claude / MCP
    • Storefront for sourcers
    • For trainers
    • Affiliate programme
    • Earn 30% commission

    Data sources: HM Land Registry · EPC Open Data · Ordnance Survey · ONS and other open data.

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