PaisaMaps for business
Product Platform overviewMap, signals, workspace and API in one tourLive mapSpending power for every pincode, six ways to see itWorkspaceProjects, store data, compare, reportsSignals & dataWhat we capture, from where, how oftenExpansion forecastFrom a budget to ranked sites and revenue rangesData API & exportsCSV, Excel, JSON and API keys
Solutions Retail & F&BWhere to open the next storeReal estate & hotelsCatchment demand for projects and propertiesLenders, NBFC & fintechArea-level affordability and market sizeAny businessD2C, franchises, services, SMEsAgencies & consultantsStrategy firms working for many clientsSite selectionRank candidate pincodesMarket sizingHouseholds × spend for any areaCatchment analysisWho lives around a siteCredit & affordabilityAn area input for lendingTerritory planningBalance sales territoriesPortfolio benchmarkingScore the stores you already have
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Resources How it worksBefore and after you sign inWhy PaisaMapsWhat's different, honestly comparedMethodologyHow every score is built, checked and labelledSecurityHow your account and data are protectedFAQProduct, data, pricing, securityHelp & supportGet an answer from a person
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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.

Site selection

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

  1. Paint the city

    Colour by purchasing power, income or spend and read the ranked localities.

    Paint the city
  2. Shortlist

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

    Shortlist
  3. Compare

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

    Compare
  4. Decide and share

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

    Decide and share

Worked example

Choosing two pharmacy sites from nine offers

Illustrative example, not a customer story
  1. RankAll nine pincodes ranked on purchasing power and spend.
  2. TrimThree fall in the bottom half of their city; they're dropped.
  3. Check overlapRings around existing stores rule out one more.
  4. 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

IndustryWhat 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 groupWhat it tells youThe decision it feeds
Purchasing powerHow much a typical household earns and spends, and how that ranks in its stateWhere your price point has enough customers; which sites to shortlist
VehiclesCar ownership, the car-to-two-wheeler mix, luxury and EV sharePremium vs value positioning; parking-led formats; mobility products
Banking & UPIHow banked and how digitally active an area isWhere 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.

Send us your candidate sites

We'll rank them with you on the live data.