You count the door.
You own what it tells you.

Total visits, dwell time, busy hours, and what crowd is walking in, from one simple count.

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CLICR
Front Entrance
Live Count
64
43%
64
Entries +1240 · Exits 1,176Live

Count them in at the door.

CLICR
Mall Entrance
Live Count
64
43%
64
Entries +1240 · Exits 1,176Live

Every entrance syncs.

CLICR
Store Traffic
Visitors today
1,240
24 minDwell
2-3 PMBusiest
64In store
Visits by hour
Visitor split
Women 57%Men 43%
Open 10 AM to 8 PMUpdated live

It becomes traffic you can read.

Clic IN on the first phone. Watch the other two.

Sound familiar?

You don’t know your real traffic.
You’re guessing.

How many came in? When were you busiest? What crowd is walking through? Most stores are guessing, or paying thousands for a sensor system.

Real foot traffic

Every visit counted, not estimated.

Dwell time

How long the store holds them.

Your busiest hours

Staff to the rush, not the guess.

What crowd walks in

Visitor split, live.

Foot-traffic intelligence

Foot traffic,
turned into a picture.

The whole story: how many came, when, how long they stayed, and what crowd they were. The analytics of a sensor system, from a Clicr.

Sample Store
Sample report · illustrative

Store traffic

One day · open 10 AM to 8 PM

1,240
Visitors in
24min
Avg dwell
2–3PM
Busiest hour
64
In store now

Visits by hour

Visitor split

Women57%
Men43%

one day of foot traffic · the picture you never got from an analog tally counter

Sample daily traffic report.

Whatever you’re running, the rest is the same.

1.75M+ guests counted< 6 min setupNo hardware
Trusted by operators and venues
TikTokGrand Central StationThe Hotel ChelseaHouse of Yes BrooklynElectric Shuffle

Logos represent pilots, partnerships, or active user testing.

The foot-traffic analytics stores pay $12K a year for.

The core of it, from a Clicr.

Give it a week.
That’s the pitch.

No commitment. We set you up in your store, you run it a week, you see the traffic.

Questions? Ask Clic.