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Benchmark traffic, entry, and dwell across every store

Compare storefront traffic, entry rate, front-end attention, foodservice dwell, and daypart patterns under one standard.

Benchmark traffic, entry, and dwell across every store

Operating questions

Questions for network and store-operations teams

  1. 01

    Which stores have low entry or category dwell relative to storefront traffic?

  2. 02

    Which front-end, new-product, and promotional displays create real attention?

  3. 03

    Can the merchandising and daypart pattern of top stores scale across the network?

POS records inside transactions, basket size, and sales. Storefront traffic, entry, category dwell, and display attention need a common behavior baseline.

The camera setup depends on whether you measure signage, the storefront, or the full store. The pilot checks camera angles and data quality.

01

Slim Camera + AI Box

Attention at close range, including signage and shelves

02

SpaceVision IP Camera + AI Box

New camera coverage for storefront, zone and journey measurement

03

Existing IP Camera + video processor

Traffic, dwell and spatial analysis using store CCTV

The setup, unit count and measurable area are confirmed after checking camera angle and resolution, occlusion, lighting and the store network.

How it's measured
Pass → attention → dwell & engagement
01
100%
Storefront pass
Passed through the measured storefront area.
02
38%
Storefront glance
Looked toward the storefront or signage.
03
17%
Storefront attention
Looked at the storefront content for a sustained threshold.
04
9.4%
Store entry
Crossed the boundary into the store.
05
6.9%
Category dwell
Stayed at a category fixture for a measured period.
06
2.3%
Product engagement
Approached, stayed, or showed an observable interaction near a product.
Storefront traffic & entry rate

Pass-by traffic and the share that crosses into the store

Front-end & promo attention

Attention at checkout, new-product, and promotional displays

Category dwell

Stops and dwell at coolers, foodservice, ready-meal, and promo fixtures

In-store retail-media exposure

Opportunity-to-see, attention, and audience mix for in-store screens

Traffic by daypart

Traffic patterns across morning, lunch, evening, and late-night periods

Shopper mix by store

Broad shopper composition, de-identified and aggregated

Use standardized behavior metrics for store benchmarking, retail media, and planogram standards.

Store benchmarking

Compare storefront traffic, entry, and dwell on one definition

Retail-media inventory

Support screen inventory with opportunity-to-see and attention data

Planogram & display standards

Scale the category layouts and display patterns of top stores

Example applications. Actual outcomes vary by store and operation.

Compare it across your store network

Start with a 2–3 month pilot configured for your site.