Use case · Real estate and proptech
Turn property discovery into conversions with the right Maps APIs
Buyers and renters do not choose a property in a vacuum. They choose a location: the commute, the neighbourhood, what the street actually looks like. Portals and brokerages that surface that on the listing convert more. We pick the Google Maps APIs that get you there, and build the integration.
Get a demo →The decision
Buyers convert on location, not just on the unit
By the time a buyer or renter is looking at a listing, the question in their head has already moved past the floor plan. How far is work? What does the street actually look like? Is the metro walkable, the school close, the neighbourhood right? A listing that answers those questions on the page holds attention. A listing that does not sends the buyer off to a separate app, and many do not come back.
That is the moment a property portal or brokerage either earns the enquiry or loses it. The product job is to bring the location context onto the listing itself, so discovery and decision happen in one place.
The right APIs, not all of them
Google Maps has 50+ APIs. We pick the ones a listing needs.
The temptation is to bolt on a generic map and call it done. The conversions come from specific capabilities, matched to how people actually evaluate a home. We pick the three or four that do the work, and integrate them end to end.
- 01
Commute · Traffic-aware commute and travel time
Real-time traffic and commute data turns "how far is it?" into a number on the listing: drive time to the office, to the metro, to school, with live conditions rather than a flat distance.
- 02
Addresses · Geocoding for vague Indian addresses
Advanced geocoding resolves the kind of loosely written addresses that property inventory is full of, so a listing lands on the right point on the map instead of nowhere near it.
- 03
See it · Street View, 3D and metro overlays
Street View, 3D tiles and transit and metro overlays let a buyer walk the street and read the neighbourhood from the listing, the context that decides a shortlist.
- 04
Breadth · One ecosystem, at scale
The breadth of the Google Maps API ecosystem, and the scale to serve a national portal, means the same integration carries every listing and every city without a second mapping stack.
Why teams switch their maps layer
The reason a portal moves its location layer to Google Maps Platform is rarely the map tiles. It is the capabilities a property experience needs and the previous stack could not serve: real-time traffic and commute, geocoding that survives messy addresses, Street View and 3D, transit overlays, and the ecosystem breadth to do it all in one place at national scale.
We lead with those use cases, the ones that move conversions, and build the integration around them. The point is what a buyer can now see and do on the listing, not a comparison of providers.
How we run it
From use case to a production integration
We are the implementation partner, not a licence reseller. We start from your listing flow, match it to the Google Maps APIs that move conversions, then deliver the integration: SDK and API integration, GCP project setup with service accounts and billing, and cost engineering across SKU selection, quota management and free-tier strategy so the experience stays affordable at portal scale. Same Google pricing either way; what we add is the use-case-to-API matching and the hands-on build.
Location, resolved on the listing where the buyer decides.
Commute time, the neighbourhood, the street itself, brought onto the property page from one Google Maps integration. NoBroker saw a 30 to 40 percent conversion-rate boost from seamless navigation and enriched property details.
Proof
A portal that made the move, and what it moved
NoBroker moved its location layer to Google Maps Platform for exactly these capabilities, and Lepton did the initial onboarding: the API selection, the integration and the GCP setup behind it. The reported outcome was a conversion-rate boost of 30 to 40 percent, attributed to seamless navigation and enriched property details. The listing experience that produced it runs on three APIs, not a shelf of them.
What the lift is worth
Put the reported range on a funnel and it stops being a slogan
A conversion-rate boost is only meaningful against a funnel. Here is the reported 30 to 40 percent applied to a round, illustrative one, so you can do the same arithmetic with your own listing volumes.
The arithmetic per 100,000 listing views
| Scenario | Enquiry rate | Enquiries | Delta |
|---|---|---|---|
| Baseline listing page | 2.00% | 2,000 | · |
| At the low end of the reported lift, +30% | 2.60% | 2,600 | +600 |
| At the high end, +40% | 2.80% | 2,800 | +800 |
What the listing runs on 3 APIs, not a shelf of them
- Places The neighbourhood around the pin: what is nearby, and what kind of place it is
- Geocoding Loosely written property addresses resolved to the right point on the map
- Distance Matrix Commute time from the listing to work, to the metro, to school
What enriched listings change for the business
More enquiries per listing
When commute, neighbourhood and Street View live on the page, buyers stay and act instead of leaving to research elsewhere.
Fewer dead listings on the map
Geocoding that resolves vague addresses puts every property on the right point, so listings are findable and trustworthy.
One stack across every city
The same Google Maps integration carries the whole portfolio at national scale, with no second mapping layer to maintain.
- Use-case-to-API matching
- End-to-end integration
- GCP setup and billing
- Cost engineering at scale
- 15+ years with Google Maps
- India, ME and Singapore
Build the property experience buyers convert on.
Bring your listing flow. We will map it to the Google Maps APIs that matter and scope the integration, the same way we did for NoBroker.
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