foot_traffic
In a world where understanding consumer behavior is crucial, foot_traffic is your ultimate solution for gaining unparalleled insights into specific locations. With over five years of historical visitation data and predictive analytics, we empower businesses to make informed decisions that drive success.
_Why foot_traffic
↳ Ground truth verified
When we talk about accuracy, we mean it. Our footfall model uses ground truth data, from stores to provide a more accurate data set than any of the competition.
↳ Historical Data
foot_traffic enhances your understanding of specific locations with unrivaled visitation data, offering over 5 years of historical data to comprehend location trends and seasonality.
↳ Enriched visitor data
Our data set includes a comprehensive supporting data set that includes demographics, psychographics, trade areas and more.
↳ Predictive
Our data doesn’t just tell you what’s happening now; it predicts future trends, helping you stay ahead of the curve.
↳ Powered by AI
Our foot traffic data is powered by cutting-edge AI and ML algorithms, providing you with faster and more accurate insights.
_Unleash the power of foot_traffic
Dive deep into the world of footfall analytics with pass_by. Our data empowers your business to effortlessly assimilate extensive insights around store and POI visitation. Delivered straight to your preferred cloud provider. This seamless integration with your current infrastructure unlocks unparalleled insights. With pass_by’s foot_traffic, you can discern and act on consumer patterns like never before.
Learn about pass_by’s data →
_foot_traffic use cases
↳ Comprehensive AI visitation data
Using pass_by's AI data, retailers can predict peak visit times and recurring customer patterns. This enables optimized stock levels, streamlined store operations, and efficient staff scheduling to meet demand.
↳ Look forward to predict sales and performance
Harness pass_by's predictive analytics to anticipate sales trends, allowing retailers to adjust store hours and craft timely marketing campaigns for maximum impact.
↳ Full competitor analysis
Leverage detailed competitor insights to identify market gaps and opportunities. By understanding customer demographics and seasonal shifts, retailers can refine their offerings and outpace competitors.
↳ Brand and chain ready for integration
For brands of all sizes, foot_traffic brings a smooth data integration experience. Whether a standalone store or a global chain, benefit from custom solutions that align with your operational needs.
_Case studies with foot_traffic
Dive into our curated selection of case studies to discover how our foot_traffic has empowered businesses across various sectors.
Alphamap
Alphamap are using our foot_traffic data to power their platform to help CRE understand inventory better and more effectively.
Scanbuy
pass_by’s scaled and accurate foot_traffic data helps Scanbuy attribute visits to CPG retail locations, complementing coupon redemption from their users.
_foot_traffic for
Analyze consumer behavior and understand performance. Build out your models and make your data science teams happy with our raw_events.
Add unique and extensive data points to your models to achieve alpha quicker. Expert signals for better yields and results in finance.
The latest on foot_traffic
Check out of latest content around foot traffic.
How Temu is Revolutionizing the Retail Landscape
Temu has revolutionized the way retail works, so much so the U.S. government is now taking steps to limit its reach. Retailers can learn some
2024 Retail Holiday Shopping Season So Far – Report
As the 2024 holiday season nears its finale, our in-store foot traffic analysis reveals a nuanced consumer landscape. While early December started off with double-digit
Black Friday 2024 – Full Report On Physical Store Visits & Category Performance
Black Friday Store Visits Dip Slightly: A -1.85% YoY Decline Black Friday store visits dipped slightly by –1.85% YoY, reflecting shifts in shopping habits as