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Surat Consumer Distribution

View mode

Spatial classification

Location confidence

Search

Created-at filter (validated dates only)

Column height scale

Order & outlet layers

Merchant sizing

Order status

Food-outlet category

Search outlet

Orders — operations

Population density (SMC zones)

Colour by

Zone table

Suggestion layer

Priority tier

Primary lever

Gap type

Evidence level

Minimum opportunity score

Ranked suggestions

Consumer archetype

Area profile / land use

Competitor presence (quick-commerce proxy)

Marketing shortlist

Layers

Restaurant location precision

Search

Supply vs demand by zone

Layers

Platform

Dark stores

Top-rated Surat restaurants

Prediction layer

Phase

Constraint

Primary lever

Minimum market-potential score

Ranked prediction

Meta ads campaigns

Best sellers

Live Meta ad account

Ad status filter

Campaign

Breakdown

Funnel

Coverage

Findings

Redesigned campaign structure

Ad-set changes

Competitor listing coverage

Top-viewed outlets — captured 15 Aug 2026

Platform — tick both to compare side by side

Location

Food category

Do we carry it?

Minimum discount on the dish

Location precision

Do we have their top-viewed outlets?

Category discount benchmark

What we should run — predicted

Our coupon mechanics today

Analytical dashboard

Counts reconcile with surat_consumer_geographical_analysis.xlsx and the sanitised CSV.

Dataset

Spatial classification

Top 5 consumer PIN codes

Top 5 normalised localities

Top 5 outside-coverage Surat localities

Highest 3D demand cluster

Location-confidence distribution

Directional sector (Surat demand)

Coverage vs population

Opportunity levers

Orders (order file)

Currently displayed

Legend — spatial classification

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