Staff-Exclusion People Counting
Footfall that counts customers only — with employees filtered out at every entrance, automatically.
Your busiest door-crosser is probably an employee. Staff-Exclusion People Counting removes staff from the tally, so your footfall figure counts customers — and only customers.
Staff-Exclusion People Counting counts people crossing your counting zones while excluding employees from the total. Staff movement is the main source of error in retail and facility counting — employees cross the entrance far more often than any customer does — so every uncorrected count quietly inflates traffic and deflates the metrics built on it, conversion rate first among them.
The rule used to identify staff — such as recognizing worn name tags — is configured per site to match how your people are actually badged, and the resulting visitor-only counts can be aggregated across multiple entrances into one clean figure. The service is available through Clear Watch's Early Access program for forward-leaning sites.
What It Does
Who Uses It
If Staff Crossings Inflate Traffic by 15%, Every Store's Conversion Rate Reads Worse Than Reality.
Stores with more staff movement look unfairly weak in the cross-store ranking — not because they're underperforming, but because their traffic number is noisier. Excluding employees makes the comparison honest before it influences decisions about staffing, investment, or closures.
- Removes staff crossings from traffic counts used in conversion calculations
- Makes cross-store performance rankings fair and comparable
- Prevents high-staff-movement locations from reading as underperformers
Cart Runners and Curbside Pickers Cross the Front Doors Constantly. They're Not Customers.
A visitor-only count means labor scheduling responds to actual customer demand — not to your own staff's foot traffic inflating the number. At high-volume stores, the distortion compounds fast and the scheduling decisions it drives are wrong in exactly the same direction every time.
- Excludes cart runners, stockers, and curbside pickers from visitor counts
- Labor scheduling based on real customer demand, not staff movement
- Corrects distortion that compounds at high staff-crossing locations
Delivery Hand-Offs and Crew Breaks Through the Front Door Distort the Count at the Worst Possible Time.
Staff exclusion keeps the demand curve clean at exactly the hours it matters most — peak service windows when delivery hand-offs and crew rotations through the front door are heaviest, and when walk-in count accuracy is most critical for staffing decisions.
- Excludes delivery hand-offs and crew breaks from walk-in counts
- Keeps the demand curve accurate during peak service windows
- Staffing decisions based on customer demand, not operational noise
When Footfall Backs Percentage Rent, Tenants Have Every Right to Ask if the Numbers Are Clean.
When footfall data backs percentage rent and marketing-fund decisions, tenants have every right to ask whether the numbers include your own security and cleaning staff. Staff exclusion means the answer is no — and the footfall figures the lease is built on reflect actual shoppers.
- Removes security and cleaning staff from footfall figures used in lease calculations
- Protects tenant relationships when footfall backs percentage rent
- Gives marketing-fund decisions a visitor-only foundation
In a Branch With 80 Daily Visitors, a Few Dozen Staff Crossings Are a Rounding Disaster.
Low-traffic sites suffer the worst distortion — staff crossings represent a far larger share of the raw count, and the decisions built on that count are wrong by the same margin. Exclusion makes small counts meaningful and low-traffic benchmarks comparable to high-traffic ones.
- Critical for low-traffic sites where staff crossings are a large share of raw count
- Makes small daily visitor counts statistically meaningful
- Enables fair benchmarking between low- and high-traffic locations
How It Works
Staff-Exclusion People Counting runs on the same Clear Watch cameras that monitor your entrances for security. During business hours, it delivers a true customer count for conversion, staffing, and reporting. After close, the identical cameras feed Clear Watch's 24/7 live monitoring. One camera platform: accurate business intelligence during the day, active security at night.
FAQs
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The identification rule is configured per site — for example, recognizing staff wearing name tags. It's matched to how your employees are actually badged, so exclusion works with your existing uniform standards.
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Often more than any other counting correction. Employees cross entrances far more frequently than customers, which is why staff movement is the main source of error in retail and facility counting — and why conversion metrics built on raw counts routinely mislead.
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Yes. Visitor-only counts aggregate across multiple entrances, so a multi-door store still reports one site-wide customer figure.
Your Traffic Number Should Reflect Your Customers — Not Everyone Who Works There
GET STARTED
Staff-Exclusion People Counting runs on the same Clear Watch cameras already at your entrances. If accurate visitor counts matter to your conversion reporting, your labor scheduling, or your lease obligations, we'd like to show you what a clean number looks like.