Simulador de impacto de la aleatorización de direcciones MAC e integridad de datos

Simule cómo afecta la rotación de direcciones MAC de los dispositivos a las analíticas de WiFi para invitados y modele la conciliación de datos.

Simular el impacto de la aleatorización MAC

1. Venue profile type

Choose a template that matches your venue footprint.

Large physical footprint, high pass-by count from adjacent streets, long dwell times, high return rate.

2. Ground truth footfall

Actual number of unique human visitors entering the venue per day.

3. Visitor return rate

40%

The percentage of daily visitors who have visited this venue previously.

4. Private address rate

80%

Percentage of visitor mobile devices running iOS 14+ or Android 10+ with MAC randomization enabled.

Data distortion simulation

+62%Raw Device Count Inflation

Without deduplication, raw probe sensors count rotated MAC addresses as new unique devices. In this scenario, raw logs record 24,240 devices, inflating your actual footfall of 15,000 guests.

Raw Probe Data (Skewed)24,240

Purple Reconciled (Corrected)14,775

Ground Truth (Actual Visitors)15,000

MetricUnique VisitorsReturn RateAvg Dwell

Raw Logs24,2405%58m

Purple14,77539%89m

Operational impact of data skew

Over-budgeting staff: Planning shift patterns based on raw device counts leads to over-staffing due to duplicate counts of rotated MAC addresses.

Skewed conversion rates: If visitor counts are artificially high, retail metrics like sales conversions (transactions / footfall) appear artificially low.

Undervalued loyalty: True returning visitors are masked, leading to poor customer loyalty tracking and inaccurate lifetime value modeling.

How Purple resolves address rotation and restores data integrity

Purple mitigates MAC randomization errors at the software layer by correlating signals across multiple touchpoints. When a user logs in via the captive portal, their account is anchored to their profile. Even if the device rotates its MAC address, subsequent logins are stitched together using session variables, browser cookies, and passive RF signatures. This cross-referencing corrects the database inflation, providing venue operators with accurate footfall, return frequencies, and dwell analytics.

Comprensión de la rotación por privacidad y la precisión de los datos

Los sistemas operativos móviles modernos aleatorizan regularmente las direcciones MAC para proteger la privacidad del usuario. Aunque beneficia a la seguridad, distorsiona las analíticas de los establecimientos físicos al inflar el recuento de visitantes y acortar los tiempos de permanencia. Este simulador demuestra cómo se sesgan los datos brutos y cómo Purple concilia estas señales.

Parámetros clave simulados

Tasa de inflación del recuento de dispositivos brutos debido a la rotación de direcciones.
Duplicación de visitantes recurrentes contabilizados como invitados nuevos.
Conciliación de datos mediante inicios de sesión en el portal cautivo y asociación de cookies (cookie stitching).

Struggling with data accuracy?

Address rotation on iOS and Android can inflate raw footfall metrics. Purple reconciles guest signals through multi-source correlation, restoring analytics integrity.

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