A New Era in Store Traffic Data: Automatic Staff Exclusion

In the retail industry, accurate visitor data is essential for making strategic decisions and objectively evaluating store performance. However, one of the biggest challenges to data accuracy is the unintentional inclusion of store staff in visitor counts.
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It’s perfectly normal for staff to step outside the store and return multiple times throughout the day. But when this happens frequently, the system may register these movements as visitor entries, leading to inflated traffic reports and misleading conversion rates, campaign evaluations, and customer behavior insights.

This is where Counttrack Matrix comes in.
With our advanced Automatic Staff Exclusion feature, we're redefining how accuracy in people counting should look.

No Extra Hardware Required: AI-Powered Real Visitor Counting
Thanks to Counttrack Matrix’s AI-driven platform, we analyze in-store behavior patterns to automatically detect and exclude staff activity from traffic data — with no need for RFID badges, wearables, or additional devices.

The system identifies staff members based on behavioral cues such as:
Standing behind the counter for extended periods
Repeating the same routes within specific store zones
Performing tasks like stocking or cleaning

This allows the system to filter out staff entries and movements in real time, ensuring your reports only reflect genuine customer activity.

Why Use Automatic Staff Exclusion?

1. Clean & Accurate Visitor Data
No more inflated counts — your reports reflect actual customer traffic.
2. Fair Staff Performance Evaluation
With staff movements excluded, KPIs like conversion rate and footfall-to-sale ratios become far more accurate.
3. True Customer Behavior Tracking
Heatmaps, journey mapping, and dwell time analytics are now based solely on real customer interactions.
4. No Manual Corrections Needed
Say goodbye to spreadsheets, edits, and guesswork. Everything runs automatically in the background.
5. No Additional Devices or Tags
All identification is done using behavior-based AI — no need to assign or manage physical identifiers.

Who Should Use This?

✔️ Retail chains
✔️ Stores inside shopping malls
✔️ Large-format stores
✔️ Locations with high staff circulation
✔️ Stores with high daily foot traffic

Clean and reliable in-store data is the foundation of powerful analytics. With Counttrack Matrix’s Automatic Staff Exclusion feature, your analytics become smarter, cleaner, and more actionable — giving you the confidence to make better decisions.

👉 Contact us for more details!