Convenience · street-front retailIllustrative scenariosAudience · Owner-operators · HQ store development
When visits drop, was it passing traffic or walk-ins
Count the people who walked past and the people who came in separately, and the cause splits.
From problem to result
- Problem
- A single visit count cannot separate falling traffic from falling walk-ins
- Applied and measured
- Visit count alone cannot narrow down a cause. The walk-in rate analysis in saai insight separates footfall in front of the store from visitors, by time of day, and reports it as a walk-in rate. Whether to rework the storefront or revisit the catchment is the operator's call.
- Expected output
- Footfall and visitors counted apart, narrowing cause by hourly walk-in rate
saai insight
Illustrative
Walk-in rate analysis
Functions used
Illustrative
Walk-in rate (%) against passing footfall, by time of day
What it outputs
Illustrative
Illustrative: traffic -5%, walk-in rate -38%
Illustrative reading
Illustrative
Illustrative: clear the entrance sightline, rework the storefront
Decision it feeds
Evidence and scope
01 DiscoverIllustrative scenariosAudience · Owner-operators · HQ store development
A usage scenario built from product functions. Figures are hypothetical values used to aid explanation and do not guarantee deployment outcomes.