Doorway entries
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Store entrance / storefront
StorefrontAI· Doorway entries

Of everyone who walked past the store, who came in?

We measure the flow from the sidewalk to inside the store.

Measure storefront traffic, glances, attention, and store entry as one funnel.

01 / The conversion blind spot

Foot traffic alone cannot explain storefront performance

Traffic and entry counts are usually separated, so teams cannot prove whether a shopper who saw the window display actually walked in. This setup connects that missing response into one conversion funnel.

SIDEWALK TRAFFIC01

You only know how many people passed.

WINDOW RESPONSE02

Who looked or slowed down remains unknown.

ENTRY ATTRIBUTION03

Display response and actual entry stay disconnected.

02 / Attention to entrance

Measure the moment attention becomes an entrance

Connect pass, glance, attention, and entrance as one anonymous funnel. See which screen and time block changes direction and brings a shopper through the door.

Doorway entries signal scene
Storefront conversion readout
PASS
1,284
GLANCE
38.2%
ENTRY
121
MEASURE
01

Pass · glance · attention · entry

Measure behavior from sidewalk to doorway as anonymous events.

CONNECT
02

Display response to entry

Connect attention at the screen to a real walk-in.

COMPARE
03

Creative · time · store

Compare the conditions that produce stronger entrance conversion.

IMPROVE
04

Storefront · schedule · conversion

Improve window content and entrance operations with observed behavior.

03 / Product experience

Read pass-to-entrance conversion in one operating view

See daily Pass–Glance–Attention–Entrance movement, creative-level entry conversion, and time-of-day performance in one dashboard.

Storefront funnel
Pass, glance, attention, and entrance movement
View full screen
Pass, glance, attention, and entrance movement
Compare each stage and its daily movement to locate where the storefront loses potential visitors.
Conversion detail

Attention and entry by creative

Connect campaign attention to real entrances and apply the result to the next storefront schedule.

01Find content that drives entry
02Adjust storefront schedules by time
03Compare conversion across stores
Conversion analyticsView full screen
Attention and entry by creative
04 / Business value

Storefront media and entrance performance share one number

01

Connect real traffic to real entrances

Explain observed conversion after attention instead of reading traffic and entry separately.

02

See which screen brings people inside

Compare attention and entrance by creative and time block, then repeat what performs.

03

Compare storefront investment across stores

Evaluate different locations through the same pass-to-entrance funnel.

06 / Product system

Measure conversion with entrance cameras and an AI Box

Exterior and entrance camera frames are processed and discarded inside the AI Box. Only visit-scoped events and aggregated conversion values reach the cloud.

SpaceVision AI Box
AI Box / Edge compute
SpaceVision on-device analytics hardware for local storefront processing
01INPUT

Window and entrance cameras

Connect camera views that capture storefront response and real entry.

02ON-SITE

On-device connection

Join response and entry within a single visit, without storing biometric data.

03OUTPUT

CMS and conversion dashboard

Connect content schedules to entrance conversion and produce storefront performance.

07 / Questions

What teams ask before deployment

Q01How do you know it is the same person? Are you tracking identities?+

No tracking. The link between what the storefront camera and the door camera saw holds only within that single visit. No biometric data is stored, so what is joined up is not a person but an anonymous movement.

Q02Does any video leave the store?+

None. Video is processed inside the on-site device (AI Box) and erased immediately. Only anonymous aggregate numbers leave the store — we cannot see the original footage either.

Q03How many cameras do we need?+

You can start with one. A single camera at the door reads attention in front of the signage; add a second and you follow it through to how many of the people who passed actually came in.

Q04Can it also run content and switch it?+

Yes. Content is scheduled through the system and can be set to change according to the estimated gender and age band of whoever is in front of the screen. The estimate is anonymous — no identity is created or stored.

Q05What is the minimum measurement period?+

We start with a two to three month pilot. Entry-per-passer-by conversion swings with the day of the week and the weather, so it takes about that long for a baseline to settle. Once it has, you can change the content and compare before and after.

Q06Can stores be compared when their environments differ?+

We align the metrics and measurement zones on one standard first, then correct for each store's camera view and data quality. Locations with different doorway widths or traffic directions get their own baseline in the pre-install survey.

Q07How is pricing decided?+

By the number of doorways, the measurement period and the installation work. Two cameras cover both the storefront and the entrance; one is enough if you only need entries. Send a photo or plan of the entrance and we will come back with a setup and a quote.

Turn attention into entry

See what your current entrance can measure

We scope a pass-to-entrance pilot around your window, doorway, and camera positions.

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