Simulador de impacto de randomização de MAC e integridade de dados

Simule como a rotação de MAC de dispositivos afeta a análise de WiFi para visitantes e modele a reconciliação de dados.

Simular o impacto da randomização de 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.

Entendendo a rotação de privacidade e a precisão dos dados

Os sistemas operacionais móveis modernos randomizam regularmente os endereços MAC para proteger a privacidade do usuário. Embora seja benéfico para a segurança, isso distorce a análise de locais físicos ao inflacionar a contagem de visitantes e reduzir o tempo de permanência. Este simulador demonstra como os dados brutos são distorcidos e como a Purple reconcilia esses sinais.

Principais parâmetros simulados

Taxa de inflação da contagem bruta de dispositivos devido à rotação de endereços.
Duplicação de visitantes recorrentes contabilizados como visitantes de primeira viagem.
Reconciliação de dados usando logins de portal cativo e associação de cookies.

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.

Talk to a WiFi expert