Simulator für die Auswirkungen von MAC-Randomisierung und Datenintegrität

Simulieren Sie, wie sich die MAC-Rotation von Geräten auf die Gäste-WiFi-Analysen auswirkt, und modellieren Sie den Datenabgleich.

Auswirkungen der MAC-Randomisierung simulieren

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.

Datenschutz-Rotation und Datengenauigkeit verstehen

Moderne mobile Betriebssysteme randomisieren regelmäßig MAC-Adressen, um die Privatsphäre der Nutzer zu schützen. Dies ist zwar vorteilhaft für die Sicherheit, verzerrt jedoch die Offline-Analysen von Standorten, indem es die Besucherzahlen künstlich erhöht und die Verweildauer verkürzt. Dieser Simulator zeigt, wie Rohdaten verzerrt werden und wie Purple diese Signale abgleicht.

Simulierte Kernparameter

Inflationsrate der rohen Gerätezahlen aufgrund von Adressrotation.
Duplizierung wiederkehrender Besucher, die als Erstbesucher gezählt werden.
Datenabgleich mithilfe von Captive Portal-Logins und 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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