Use case · Site selection
Rank sites by what people can spend.
Turn a broker's long list into a ranked shortlist, with the reasons behind every site written down.
Why it matters
A new site is a multi-year commitment of rent, fit-out and people. Demand is the part you can check before you sign; PaisaMaps makes that check fast.
How it's done
From a long list to an approved site
Paint the city
Colour by purchasing power, income or spend and read the ranked localities.

Shortlist
Save candidate pincodes to a project with notes and a status.

Compare
Line up to five sites on opportunity, income, spend, suitability and risk.

Decide and share
Mark the winners approved and send the PDF for sign-off.

Worked example
Choosing two pharmacy sites from nine offers
- RankAll nine pincodes ranked on purchasing power and spend.
- TrimThree fall in the bottom half of their city; they're dropped.
- Check overlapRings around existing stores rule out one more.
- CompareThe last five side by side on opportunity and risk.
The decision
Two sites approved, with the comparison and notes attached to the project.
What the team walks away with
- A ranked shortlist
- A comparison of the finalists
- A report for sign-off
What you walk away with
A shortlist you can defend
You get
- A ranked list of candidate pincodes
- Side-by-side comparison with a verdict
- A PDF and a read-only link for approvers
You don't need
- A GIS team
- A consultant's study
- Weeks of data assembly
By industry
How each industry uses it
| Industry | What they do with it |
|---|---|
| Retail & F&B → | Ranks a broker's offers on demand before anyone visits; checks overlap with existing stores. |
| Real estate & hotels → | Chooses between plots and mall units on the strength of their catchments. |
| Any business → | Picks the first outlet, clinic or experience store in a new city. |
| Agencies & consultants → | Builds a client's recommended site list with every reason written down. |
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 |
|---|---|---|
| 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 |
| Vehicles | Car ownership, the car-to-two-wheeler mix, luxury and EV share | Premium vs value positioning; parking-led formats; mobility products |
| 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.
Who does this



