Keep your team out of the visitor numbers.
Employee movement raises your visitor numbers and lowers the measured share of visitors who make a purchase. Staff exclusion keeps your reports focused on customers, automatically and without identifying anyone.
Add-on for Counting · No individuals identified · Video stays on-site
Example: customers are counted, while uniformed staff stepping in and out are recognized and excluded.
A reliable baseline for visitor numbers.
In stores where staff and customers share the floor, employee movement distorts every figure. Staff exclusion corrects the baseline at the source.
Customer-only counts
Keep employee movement out of your visitor numbers, the share of visitors who make a purchase, and how many people are in the store at one time, so every report reflects customers rather than your own team.
A reliable purchase rate
Repeated staff movement no longer appears as visitors who never buy, so the share of visitors who make a purchase reflects genuine customer behavior.
Set once, runs automatically
Configure how staff are handled to fit your store, then let it run. There is no daily spreadsheet cleanup to perform.
An accurate count on a shared floor.
Without exclusion, a member of staff moving around the floor all day can register as many extra visits that never lead to a purchase. Exclusion removes that movement before it reaches a report.
- Visitor numbers reflect customers, not staff shifts.
- The share of visitors who make a purchase is no longer lowered by staff movement.
- This is especially useful in small, single-floor stores.
Set it once, then leave it running.
Choose how staff are handled
Select the staff-exclusion approach that fits your store, and set it once for the location.
Separate staff from customers
As people move through the store, CountPort separates staff from customers automatically. All video is processed on-site, inside your store, and CountPort does not use facial recognition.
Exclude staff from the metrics
Employee movement is kept out of your visitor numbers, the share of visitors who make a purchase, and how many people are in the store. It does not enter the figures.
Read cleaner reports
Dashboards and exports show customers only, so visitor numbers, purchase rates, and how many people are in the store become reliable.
Staff exclusion works on anonymous analytics. It separates staff from customers without identifying anyone. CountPort does not use facial recognition and does not identify individuals. All video is processed on-site, inside your store, and is never uploaded; only the metrics you choose are shared. This reduces privacy risk and simplifies data-protection review. Read privacy details ›
Correct the traffic baseline.
Add staff exclusion when employee movement is distorting your visitor reports. It runs on the cameras you already have, and no new hardware is required.
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