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Crosscan

by Crosscan · Since 2003
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Active1+ countriesCloud
Quick facts
VendorCrosscan
Year launched2003
StatusActive
LocationGermany Crosscan Ruhrstraße 48 58452 Witten
Countries served1+
Languages2
Integrations
Free tier
Free trial
Contact salesYES

About Crosscan

Crosscan is an analytics platform from Crosscan that supports digital change in retail and building management. It provides Retail Index, Retail Analytics, Store Analytics, Customer Analytics, and Personenfüllstand so businesses can make data-driven decisions based on visitor frequency measurements and foot traffic patterns. This platform enables retailers to gain insights into customer behavior and improve store layouts for better engagement. Additionally, it offers advanced analysis capabilities to track and interpret data effectively. Key capabilities: Retail Index Retail Analytics Store Analytics Customer Analytics Personenfüllstand Best for: retailers and building managers that need to analyze visitor patterns and improve their space usage.

Crosscan is a versatile Customer Data Platform designed to help businesses effectively manage and analyze customer data. With its advanced features and capabilities, Crosscan stands out as a powerful tool for businesses looking to improve customer engagement and drive growth. The user interface of Crosscan is intuitive and user-friendly, making it easy for users to navigate and access key functionalities. The design is clean and streamlined, with customizable dashboards that allow users to tailor their view based on their specific needs. This enhances user experience and ensures that users can quickly access the information they need to make informed decisions. One of the core functionalities that sets Crosscan apart from its competitors is its advanced data analytics capabilities. The software provides robust data processing and analysis tools that enable businesses to gain valuable insights into customer behavior and preferences. This allows businesses to personalize their marketing efforts and improve customer satisfaction. In terms of performance, Crosscan excels in speed, efficiency, and reliability.

Pros & Cons

What users like
  • +High Accuracy in Data Collection: Utilizes 3D sensor technology for 99% accurate visitor counting and differentiation, providing reliable data for decision-making.
  • +Comprehensive Retail Insights: Offers deep understanding of customer behavior, from footfall tracking and path analysis to dwell times and conversion rates, enabling effective store optimization.
  • +Real-Time Cloud Platform: Provides immediate access to vital data and KPIs via the Crosscan Connect platform, allowing managers to make quick, informed decisions.
  • +Multi-Source Data Integration: Combines sensor data with external factors (like weather) and internal systems (like POS) for richer, more contextual analytics.
  • +GDPR Compliance & Privacy: Ensures that visitor frequency tracking is carried out in a fully GDPR-compliant manner, addressing privacy concerns.
What users flag
  • Hardware Dependency: Requires physical installation of sensors, which might involve initial setup costs and logistical considerations.
  • Lack of Public Pricing: The absence of transparent pricing plans online means potential customers must engage directly with sales, which can be time-consuming.
  • Limited Public Reviews: Comprehensive third-party reviews detailing specific user experiences, potential pain points, or comparisons with competitors are not widely available in public search results.
  • Specific Niche Focus: While its retail and public facility analytics are strong, it may not be suitable for businesses outside these specific domains.
  • Data Quality Reliance: Effectiveness depends on the proper installation and calibration of sensors, as well as the quality of integrated external data sources.

Features

Key features

Accurate Visitor Frequency Measurement (3D Sensors)
Utilizes highly accurate 2D and 3D sensor technology (99% accuracy) for precise people counting, including the ability to differentiate between adults and children, ensuring privacy compliance (GDPR).
Cloud-Based Crosscan Connect Platform
A real-time, cloud-based platform that collects, analyzes, and processes data from various sources to provide actionable insights into customer behavior in brick-and-mortar stores.
Comprehensive Customer Behavior Analysis
Tracks foot traffic, analyzes visitor paths (hotspots), measures dwell times, and provides data for optimizing queue management and cash desk operations.
Store Performance & Optimization
Enables retailers to determine conversion rates, benchmark performance against industry standards, and leverage individual store KPIs to optimize store layouts, product placement, and staff scheduling based on actual visitor flows.
Data Integration & Enhancement
Combines visitor data with complementary information from other sources such as weather forecasts, cash desk data, RFID, and Electronic Shelf Labels (ESL) for more comprehensive evaluations and strategic guidance.
Building & Public Facility Management
Extends its people flow tracking capabilities to optimize operations in office buildings, hospitals, train stations, and other public facilities for security, resource allocation, and visitor information.

Additional features

Cloud-based Crosscan Connect platform
A central online platform for data collection, analysis, and reporting.
Comprehensive evaluations for strategic guidance
Offers detailed reports and insights to aid business decision-making.
Store comparisons and individual store KPIs
Allows benchmarking performance across different store locations and tracking key metrics for each.
Conversion rate determination
Calculates the percentage of visitors who make a purchase.
Benchmarking capabilities for industry comparison
Compares a store's performance against industry averages.
Staff scheduling based on actual visitor requirements
Optimizes employee timetables according to anticipated customer traffic.
Queue management
Provides data and tools to optimize waiting lines.
Cash desk management
Helps improve the efficiency of checkout processes.
Shelf gap analysis
Identifies empty spots on shelves to ensure product availability.
Optimizing sales area based on customer movement
Arranges store layouts to maximize sales potential based on how customers move.
Increasing service level
Uses insights to improve customer service quality.
Integration of complementary data
Combines visitor data with external information like weather, sales data, RFID, and electronic shelf labels for deeper analysis.
Publication of retail indices
Provides industry-specific performance benchmarks (e.g., for Germany).
Research into modern machine learning methods
Continuously explores and applies AI to generate new data and predictive insights.
AI-driven recommendations
Offers intelligent suggestions to enhance store performance and attract customers.
Sustainability support
Helps stores operate more efficiently and reduce waste using data.

Pricing

Free trial
Free version
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Countries & Languages

1
Countries served
2
Interface languages
5
Billing currencies

Available in

All Countries.

Interface languages

EnglishGerman

Billing currencies

🇦🇺AUD🇨🇦CAD🇪🇺EUR🇬🇧GBP🇺🇸USD

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