PaisaMaps for businessObjectivePlace a showroom or workshop
With PaisaMapsRank pincodes by income and car ownership, and check distance to the dealers you already have.
OutcomeNew outlets where buyers live, not where the last vacancy was.
For OEMs, dealer groups and vehicle financiers
Put showrooms and loans where people are ready to upgrade.
Car ownership, the car-to-two-wheeler mix, luxury and EV share, read next to what households earn and spend. Dealer networks use it to place showrooms and workshops; financiers use it to point sourcing at areas that can afford the ticket.
Districtlevel for vehicle signals, and labelled that way
The vehicle signals
How a region moves, next to what it can spend
Vehicle signals come from VAHAN registrations at district level; income and spend are pincode-level estimates. Read together, they show where a market is ready for its next vehicle.
What you can achieve
A dealer network and a loan book that follow demand
ObjectivePick the format for each area
With PaisaMapsRead luxury share and the car-to-two-wheeler mix next to purchasing power.
OutcomePremium, volume or two-wheeler formats matched to the market.
ObjectivePlan an EV roll-out
With PaisaMapsFind districts where EV share is already ahead and households have the income to follow.
OutcomeEV showrooms and charging partners placed where early buyers are.
ObjectivePoint vehicle-loan sourcing
With PaisaMapsLook for areas whose households can afford a step up while the mix is still two-wheeler-led.
OutcomeDealer tie-ups and field teams aimed at first-car and upgrade buyers.
On the live map
Find a vehicle signal, read the region
Car ownership across Delhi NCR, with the signal explorer open.
- Search the signalsType 'car' or 'EV' and switch the map to that signal.
- Average for your radiusThe signal's average across the area you're looking at, with income and spend beside it.
- Localities, rankedEvery locality in the radius, ranked by the signal, with purchasing power alongside.
- District shapesVehicle signals are district figures, so a whole district shares a colour.
- The real breaksThe legend shows the actual values behind each colour.
A business case, start to finish
A vehicle financier chooses where to launch a first-car loan
- Paint the region by incomeHousehold income for every scored pincode in the region.
- Overlay the mixDistricts with a low car-to-two-wheeler ratio but solid income are the upgrade candidates.
- Place the dealersUpload partner dealers with their monthly loan volumes to see which sit in those areas.
- Rank and phaseLaunch with the dealers in the top-ranked areas; add the rest as volumes come in.
The decision
The launch starts with dealers in the highest-ranked areas, and the area signals go into the financier's own sourcing model, reviewed under its credit policy.
What the team walks away with
- A ranked list of launch areas and dealers
- Area features joined on pincode
- An API key to refresh them
Who's involved
Who uses it, who reads it, who pays for it
Uses it every week
- Network / dealer development manager
- Regional sales manager
- Sourcing or analytics manager (financier)
Reads vehicle signals by region, places candidate outlets, uploads dealer volumes, exports areas for sourcing.
What they getA ranked list of areas for outlets and loan campaigns, in an afternoon.
Reads and decides
- Head of network development
- Regional business head
- Head of retail / vehicle lending
Signs off new outlets, formats and the regions a finance product launches in.
What they getShowroom and launch decisions backed by the same evidence.
Pays for it
- Head of sales & network (OEM)
- Dealer principal (dealer groups)
- Chief business officer (financiers)
Funds network planning or distribution analytics.
What they getOutlets and loan sourcing that follow buyers, not vacancies.
Signals that matter here
Which signal answers which question
Every plan sees purchasing power, income and spend. These are the signal groups that move this decision.
| Signal group | What it tells you | The decision it feeds |
|---|---|---|
| Vehicles | Car ownership, the car-to-two-wheeler mix, luxury and EV share | Premium vs value positioning; parking-led formats; mobility products |
| Purchasing power | How much a typical household earns and spends, and how that ranks in its state | Where your price point has enough customers; which sites to shortlist |
| Banking & UPI | How banked and how digitally active an area is | Where credit, payments or premium products will be adopted first |
Each signal's source and level (pincode, district or state) is listed on the signals page.
- Vehicle signals, already joined
- Car ownership, the car-to-two-wheeler mix, luxury and EV share from VAHAN registrations, attached to every scored pincode at district level.
- One map for dealer and financier
- The network team and the finance partner read the same areas, so a launch plan is one plan.
- Honest levels
- Vehicle signals are district figures. We say so, and we never use them to separate two pincodes in the same district.
- Into your systems
- Exports and an API key, so the signals reach your dealer-planning and sourcing models.
Getting started
How teams roll it out
No integration project. Most teams are reading their own cities on day one.
Explore
Switch on the vehicle signals for your regions on the map.
Pilot
We set up the workspace and rank one region with you.
Add your network
Upload dealers or branches with their volumes; see each against its area.
Scale
Export or pull by API for every region you plan.
Before you buy
Questions we hear
Do you have registrations by brand or model?
No. We use district-level VAHAN aggregates: car ownership, the car-to-two-wheeler ratio, luxury share and EV share. Brand and model data isn't included.
Can we see our dealers on the map?
Yes. Upload a CSV or Excel file with dealer, pincode and a performance figure; each dealer is scored against its area.
Is EV share a live feed?
No. It updates when we refresh the source, not in real time.
Can a financier use it to approve a loan?
No. Every signal is area-level and the same for everyone in it. It's for where to source and how to size, alongside your own credit data.
Keep exploring
Where to go next
Site selection
Shortlist candidate pincodes by purchasing power, check each catchment, compare up to five sites side by side and send a…
Explore →
Territory planning
Balance sales, distribution and delivery territories so each has a comparable market behind it, using pincode purchasing…
Explore →
Workspace
A shared workspace for expansion decisions: projects, location intelligence, site comparison, saved-location pipeline, your…
Explore →Name the region and the vehicle
We'll show you car ownership, EV share and spending power there, and where your dealers sit.