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.

See it in your store Talk to us

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A phone counting a store's main entrance, beside a card listing the store's two Clicrs and their staff.
Two doors, two Clicrs, one count. Nothing on the ceiling. (Sample data.)

A phone is the sensor

A Clicr is CLICR on a phone your team already carries. Add one to a door in a minute.

Who is counting

Each Clicr shows the staffer on it and their last tap, so a quiet door is a question, not a mystery.

No hardware

No sensors, no installer, no maintenance contract. Two doors is two phones.

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.

Start free See it in a real venue
Data · today

Today,
as it happens.

Visits, busiest hour, average time in store and who is inside now, against the same day last week. Then the three things the count is telling you, written out, so the number turns into a decision before lunch.

The reporting screen for a store: visits, busiest hour, average time in store, inside now, visits by hour against last Tuesday, and three notes on what the count says.
Today at Maple & Co., against last Tuesday. (Sample data.)

Visits by hour

Staff the lunch hour, not the whole day. Yesterday's 1–2 PM ran three on the floor; today's ran two.

Time in store

A whole-store average from ins and outs. Nobody is tracked, nothing is on the ceiling.

By door

Which entrance carries the traffic. The side door from the lot brought 27% of today.

Data · this week

This week
against last.

Every day side by side, the busiest hours for weekdays and the weekend, and each door's share of the week. Schedule against these, not against the till: the register only sees the people who bought something.

The compare screen: this week's visits against last week's by day, busiest hours by weekday and weekend, and visits by door.
Week over week, by day, by hour, by door. (Sample data.)

Week over week

Up or down, by day, in one glance. Every day up except Wednesday.

Busiest hours

Weekday and weekend separately, because they are different stores.

Exports

CSV and PDF for the landlord, the buyer, or the schedule. On Insights and Verify.

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.

See it in your store

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

Questions? Ask Clic.