Crowd of people inside a shopping mall, with some waiting in line at an Apple store and others browsing electronic devices, illuminated by skylights.

People Counting

Footfall by hour, by door, by site — the number every retail decision depends on.

Traffic is the number every other retail metric depends on — conversion, labor planning, marketing ROI. Clear Watch People Counting measures it continuously, accurately, from the cameras already over your door.

People Counting measures the flow of people through a main area — a store entrance, a concourse, a lobby — and tracks the trend over time, which is what actually matters for footfall analysis. Counting lines and directions are configured per camera, so you count people coming in, going out, or both, exactly where you draw the line.

For sites with more than one way in, counts from multiple areas and entrances are summed automatically, so a store with three doors or a facility with several access points reports as one clean site-wide figure. That gives operations teams a single number to compare day over day, store over store — the foundation for conversion rates, staffing schedules, and lease negotiations.

What It Does

A lobby with a women sitting at a front desk, and people highlighted in the background.

Who Uses It

Retail Chains

Is a Slow Tuesday a Traffic Problem or a Selling Problem?

Conversion rate is meaningless without an accurate denominator. Footfall by hour and by door tells you which stores deserve more labor hours — and which ones have a selling problem, not a traffic problem.

  • Footfall by hour and by door across every location
  • Accurate denominator for conversion rate calculations
  • Identifies which stores need more labor vs. better selling
Retail chain
Grocery & Big-Box

Staff to Actual Traffic Curves. Not Last Year's Schedule.

Knowing the 4–6 p.m. surge is 22% bigger on Fridays changes how you roster cashiers and cart crews. Match front-end staffing to real traffic instead of historical assumptions.

  • Hourly traffic curves by day of week and season
  • Staffing decisions backed by actual entry data
  • Covers every entrance into one site-wide figure
Grocery store
Malls & Shopping Centers

Prove Footfall to Prospective Tenants. Settle Rent Conversations With Data.

Aggregate counts across every entrance into one center-wide traffic figure — then use it to prove footfall to prospective tenants and settle percentage-rent and marketing-fund conversations with data instead of estimates.

  • Center-wide footfall aggregated from every entrance
  • Data for tenant prospecting and lease negotiations
  • Per-entrance detail alongside the site-wide total
Mall
Banks & Branch Networks

Declining Footfall Shows Up in the Data Long Before It Shows Up in Revenue.

Compare branch traffic across a network to right-size hours, staffing, and the branch footprint itself. Footfall data supports consolidation decisions with evidence before revenue makes them unavoidable.

  • Traffic comparison across every branch in the network
  • Supports hours and staffing adjustments based on real usage
  • Early indicator for consolidation and footprint decisions
Bank branch
Transit & Public Facilities

Plan Cleaning, Staffing, and Capacity Around Real Usage — Not Estimates.

Measure passenger and visitor flow through concourses and gates to make cleaning schedules, staffing plans, and capacity investments based on how the facility is actually used.

  • Continuous flow measurement through concourses and gates
  • Usage patterns for staffing and cleaning schedules
  • Capacity investment decisions backed by real data
Transit station
QSR Operators

Spot the Customers Who Came In, Saw the Line, and Left Before Ordering.

Correlate walk-in traffic with sales data to find the gap — the demand that arrived but didn't convert because of wait time. That gap is revenue you can recover with better staffing and queue management.

  • Walk-in traffic correlated against sales to surface lost demand
  • Identifies peak periods where queue length is costing orders
  • Data to justify staffing changes at high-traffic hours
QSR fast food line

How It Works

People Counting runs on the same Clear Watch cameras that guard your property. During business hours, the AI counts every entry and exit and rolls the totals into trends your operations team can act on. After close, those identical cameras feed Clear Watch's 24/7 live monitoring for intrusion and loss prevention. One camera system, one vendor: security after hours, business intelligence during the day.

Four business professionals walking through a doorway, there are three women and one man, all dressed in formal business attire, walking towards the camera with their shadows cast on the white tiled floor, near glass doors and a potted plant.

FAQs

Know Exactly How Many People Walked In

GET STARTED

Talk to a Clear Watch specialist about adding People Counting to your existing cameras — and turning foot traffic into a number your operations team can actually use.