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    PROPERTY TECHNOLOGY / STRATEGY + OPERATIONS

    Selling software into real estate while transactions are slow and budgets tight

    Property technology companies sell software, payments and data services to property owners, managers, brokers, lenders and residents. They earn per-unit or per-seat subscriptions, transaction fees on rent payments and closings, and attach revenue from screening, insurance and other services.

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    P&L OPERATING MODEL

    See how commercial and operating decisions move the P&L.

    Select a sector and switch between the profit bridge and the underlying cost structure. The baseline is indexed to revenue so the economics remain comparable.

    INDUSTRY P&L BRIDGEPROPERTY TECHNOLOGY / REVENUE INDEXED TO 100
    REVENUE INDEX100.0 → 106.0Commercial growth case
    OPERATING PROFIT12.0 → 21.8+9.8 points
    MARGIN12.0% → 20.6%Combined opportunity case
    12.0Baseline profit
    +6.0Revenue growth
    +0.8Hosting + payment processing
    +1.0Customer support + implementation
    +1.0Sales + marketing
    +0.6R&D
    +0.4G&A
    21.8With Aryo profit
    Commercial growthOperational improvementResulting profit
    REVENUEPrice, mix, retention, channel, product, and market focus
    COSTProcurement, labor, throughput, footprint, complexity, and overhead
    DATACompany actuals, industry benchmarks, operating signals, and measured deltas

    HOW THE BUSINESS WORKS

    How property technology companies make money.

    The revenue streams and structural traits that decide where profit is made and lost in this sector.

    Revenue model

    • Per-unit or per-door software subscriptions
    • Payment processing fees on rent and deposits
    • Screening, renters insurance and ancillary service revenue
    • Transaction and marketplace fees

    Unit-based pricing

    Revenue grows with units under management, so customers' portfolio growth and churn flow straight into the top line.

    Payments attach

    Processing rent and fees adds revenue per unit and deepens integration with the customer's accounting, raising switching costs.

    Long sales cycles

    Large owners and managers run lengthy evaluations and data migrations before switching core property management systems.

    Transaction cyclicality

    Products tied to home sales, leasing velocity or mortgage origination rise and fall with interest rates.

    WHAT TO WATCH

    The measures and pressures that matter now.

    Five numbers management should review every month, and what is changing in the sector.

    1. 1

      Units on platform

      Shows market penetration and the base for subscription and payments revenue.

    2. 2

      Net revenue retention

      Measures expansion against churn and downgrades among existing customers.

    3. 3

      Payments and services attach rate

      Indicates revenue per unit beyond the core subscription.

    4. 4

      CAC payback

      Tests whether sales and marketing spend is earning its return by segment.

    5. 5

      Time to go-live

      Determines when signed contracts start generating revenue.

    Pressures right now

    • Low home-sale and refinancing volumes have cut revenue for proptech products that depend on transactions.
    • The federal antitrust case against RealPage and related private suits have put rent-pricing software under legal scrutiny.
    • Property owners squeezed by higher operating costs are consolidating vendors and resisting per-unit price increases.
    • AI tools for leasing, maintenance and property accounting are entering the market quickly, raising competition and customer expectations.

    WHERE THE VALUE IS

    Where property technology companies find the most value.

    The changes that usually move the P&L most in this sector, and the service that delivers each one.

    Raise payments and services attach

    Build payments, screening and insurance into the core workflow and price them so both customers and residents adopt them.

    Customer retention & expansion

    Questions leaders in property technology should be able to answer

    • How much contracted revenue is waiting on implementation?
    • What share of units use our payments and services, and what blocks adoption?
    • Which customer segments pay back acquisition cost fastest?