PassBy

shopping-mall-analytics-guide

Shopping Mall Analytics: Data, AI, Benefits & How to Use It

While consumers flock to e-commerce and the struggles of brick-and-mortar stores grow, shopping malls must be more creative and decisive to increase foot traffic. Tenants inside shopping malls have long been ahead of the game when it comes to implementing analytics….

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commercial-real-estate-predictive-analytics

How to Use Predictive Analytics in Commercial Real Estate

Predictive analytics is sometimes described as a crystal ball, as it can help you predict future events or trends. But predictive analytics is far from magic – it’s a real and reliable tool that’s transforming commercial real estate. But, as these…

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model

pass_by’s Enhanced Predictive Model Brings Industry-Leading Accuracy to Future Foot Traffic

Key Takeaways: The journey Accurate foot traffic data is crucial for retailers to make informed operational decisions in today’s fast-paced retail environment. However, traditional foot traffic solutions have often relied heavily on location data, leading to noisy signals, siloed measurements, and…

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foot-traffic-data-providers

Foot traffic data providers: 9 foot traffic data sources + examples

All foot traffic data providers must measure foot traffic while complying with privacy laws by providing anonymized data without personal identifiers.  This type of data provides details such as income levels, transportation methods, education levels, and the number of visits to…

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weather-retail-analytics

Planalytics & pass_by Combine to Forecast The Future of Retail: Predictive Weather-Driven Analytics

Key takeaways: In the dynamic landscape of retail, understanding and predicting consumer behavior is more than just a competitive advantage—it’s a necessity. Today, we’re excited to unveil a transformative partnership between Planalytics and pass_by, two leaders in their respective domains. This…

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