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.