Visitors, Groups & Demographics
Unique visitors, deduplicated counts, arrival groups, age and gender — what each measures and when they update.
Unique Visitors vs Deduplicated Count
Both come from the sensor's once-daily re-identification pass, and they answer slightly different questions:
- Deduplicated Count — how many distinct people were seen during the day, after the sensor merged repeat appearances of the same person. Someone who pops in three times counts once.
- Unique Visitors — the subset of those people whose entrance and exit the sensor could confidently pair into a complete visit. Only these contribute to Average Store Dwell, because only they have a measurable visit length.
Deduplicated Count is always ≥ Unique Visitors. Both update once per day after closing time — zeros during the day are expected.
Employees & Deduplicated Employee Count
Staff wearing a badge are detected by the sensor and kept out of your visitor analytics. The Employees card counts badge-wearer events during the period; Deduplicated Employee Count is the number of distinct badge-wearers in the daily deduplicated summary.
Arrival Batches, Groups & Solo Visitors
People entering within five seconds of each other count as one arrival batch:
- Arrival Batches — total arrival events (every batch, including people arriving alone).
- Groups — batches of two or more people arriving together.
- Solo Visitors — people who arrived on their own.
Groups + Solo Visitors = Arrival Batches, always. Note these count arrivals, not unique people — someone who leaves and returns is a new arrival, by design. Use the deduplicated metrics for distinct-person counts.
Adult, Children, Gender & Age
The sensor estimates an age bracket and gender for each visitor — anonymously, on-device, with no images retained:
- Adult = estimated 17 or older; Children = estimated under 17.
- The Age card breaks visitors into brackets (0–9, 10–16, 17–30, 31–45, 46–60, 60+), and Gender into male / female.
- Low-confidence readings are honestly reported as Unknown rather than guessed.
These are statistical estimates for understanding your audience mix — treat trends as meaningful, individual-day precision less so.