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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For developers, mall operators and hotel chains

Prove the demand around a project before you build it.

Land, pricing and tenant mix are decided years before the first customer arrives. PaisaMaps shows what the households around a plot can afford today, so the project is pitched at the market that's really there.

Residential & commercialMalls & leasingHotel chains

What you can achieve

From a plot to a pitch backed by numbers

ObjectiveMatch the product to the catchment

With PaisaMapsRead estimated household income and spend for every pincode within the radius you choose.

OutcomeUnit sizes, price bands and tenant mix pitched at the households who live there.

ObjectiveChoose between candidate plots

With PaisaMapsCompare plots side by side on purchasing power, income and spend of their catchments.

OutcomeA ranked plot list with the reasons written down.

ObjectivePitch tenants with evidence

With PaisaMapsShow retailers and F&B brands the spending power around your mall, pincode by pincode.

OutcomeLeasing conversations that start with their customers, not your floor plan.

ObjectiveGive investors a case they can check

With PaisaMapsKeep plots, notes and reports in one project; share a PDF or read-only link.

OutcomeA demand story that survives due diligence.

ObjectivePlace a hotel where its guests spend

With PaisaMapsRead the affluence and vehicle ownership of the surrounding area.

OutcomeA clearer view of local demand for F&B, banqueting and business stays.

Who's involved

Who uses it, who reads it, who pays for it

Uses it every week

  • Land acquisition / BD manager
  • Leasing manager
  • Feasibility analyst

Reads catchments around plots and malls, builds comparisons and tenant pitches.

What they getA catchment readout for any plot in minutes.

Reads and decides

  • Head of land / projects
  • Investment committee
  • Hotel development head

Reviews the demand case before committing land, pricing or a brand.

What they getEvidence that holds up with investors and partners.

Pays for it

  • Head of business development
  • CFO
  • Founder / MD

Funds feasibility work across the project pipeline.

What they getProjects pitched at the market that's actually there.

The principle

A catchment is households and what they can spend, not hectares inside a ring.
Every ring is read pincode by pincode

A business case, start to finish

A developer chooses between two plots for a mid-premium project

Illustrative example, not a customer story
  1. Draw the ringsA ring around each plot at the distance buyers would realistically commute.
  2. Read the catchmentOpportunity score, income and spend for every pincode inside each ring.
  3. CompareThe two catchments side by side, with how each ranks in the city.
  4. Check the contextCar ownership and the city-level property-rate estimate frame the price band.

The decision

The plot with the smaller but more affluent catchment goes forward; the other is parked for a value-segment project.

What the team walks away with

  • Catchment readouts for both plots, saved to one project
  • A PDF for the land committee and investors
  • An export of the catchment pincodes for the sales team

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
InfrastructureNight-time activity and schooling, as a read on how developed an area isWhether a catchment is established or still emerging
PropertyA city-level estimate of property ratesRent and capex context for a city (not a valuation)

Each signal's source and level (pincode, district or state) is listed on the signals page.

Why PaisaMaps

Why property teams use it

Street-level, not city averages
City reports hide the difference between two plots a few kilometres apart. Pincodes don't.
Shareable evidence
Reports and read-only links your partners and investors can open without an account.
Labelled honestly
Property rate is a city-level estimate and says so; it's context, not a valuation.
Free viewers
Bring your partners, architects and investors in as read-only viewers at no cost.

Getting started

How teams roll it out

No integration project. Most teams are reading their own cities on day one.

  1. Before the land meeting

    Open the free map and read the area around the plot.

  2. Set up the project

    We set up your workspace; add the candidate plots.

  3. Build the case

    Rings, comparisons and notes in one place.

  4. Share

    Send the report, or add investors as free viewers.

Use cases

The decisions it supports, and how

Use caseHow real estate & hotels teams use it
Site selection →Chooses between plots and mall units on the strength of their catchments.
Market sizing →Sizes demand for a price band or a hotel segment in a city.
Catchment analysis →Reads the households around a project to set unit mix, pricing or tenant mix.

Before you buy

Questions we hear

Is the property rate based on transactions?

No. It's a city-level estimate, labelled as such, and free on every plan. Use it as context, not as a valuation.

Does it work for hotels?

Yes, for reading the spending power of the surrounding area. It doesn't include tourism, occupancy or travel data.

Can we share it with partners?

Yes. Generate a PDF report or a read-only project link, or add partners as free viewers.

Send us the plot

Share a location and your target price band; we'll read its catchment with you.