Home / Who it’s for / Proptech & Mortgage Platforms
Use case - Proptech & Mortgage Platforms

The repayment what-if is your best lead magnet.

Visitors bounce off static calculators. A live economy behind the calculator - rates, prices, stress - keeps them exploring and hands you intent data.

What you get

White-label repayment and borrowing-power scenarios on your rate feeds
Price-path overlays for listings and suburb pages
Lead capture at the moment of peak intent: scenario saved = contact gated
Priced against your cost-per-lead, not seat count

Those are enterprise deployment capabilities. What runs free at policysandbox.ai today is the full engine - 132 modelled variables, 342 causal relationships and 21 named households - on a demo baseline rather than live published series. Read the methodology or open the sandbox to see exactly what the model does and does not cover.

A working week with PolicySandbox

ScenarioA visitor on a listing drags the rate lever to see repayments at +/-100bp, then saves the scenario to compare against another suburb. That save is a qualified lead with a documented budget - routed straight to a broker.

Why it stacks up

scenario save
Conversion point
rate-feed native
Integration
CPL-anchored
Pricing

See it with your own numbers.

Enterprise deployments run on your data, your elasticities and your brand. Start in the public sandbox, then talk to us about a pilot.

Launch the sandbox