Flame Analytics

Flame Analytics is an advanced AI-powered analytics platform for physical spaces that combines video, WiFi, and other data sources to enhance decision-making and venue performance.
Social & Email:
https://flameanalytics.com/
Flame Analytics

Product Information

Updated:Feb 16, 2025

Flame Analytics Monthly Traffic Trends

Flame Analytics experienced a 6.8% increase in visits, reaching 33.4K in January 2025. The latest updates to Flame 2025, including the Match Grain node and Lens Distortion tool, may have contributed to this slight growth, although the impact of these features on traffic is not explicitly clear.

View history traffic

What is Flame Analytics

Flame Analytics is a comprehensive location analytics and customer engagement platform designed for smart physical spaces such as retail stores, shopping malls, public venues, and hotels. It empowers businesses to understand customer behavior, measure venue performance, and connect with visitors to increase loyalty. By leveraging artificial intelligence and integrating various data sources, Flame Analytics provides actionable insights to optimize operations, improve customer experiences, and boost sales in physical locations.

Key Features of Flame Analytics

Flame Analytics is an advanced analytics platform for physical spaces that combines video, WiFi, and other sensor data with AI to provide insights on customer behavior, traffic patterns, and venue performance. It offers features like people counting, customer journey analysis, and personalized marketing capabilities to help businesses optimize their physical spaces and improve customer engagement.
Traffic Measurement: Accurately counts visitors and measures traffic at all touchpoints using people counters and existing CCTV cameras.
Customer Journey Analysis: Tracks customer movements and interactions across various touchpoints to understand behavior patterns.
Personalized Marketing: Enables targeted marketing campaigns based on customer location, interests, demographics and behavior.
HyperSensor Technology: Proprietary technology that integrates data from multiple sources like CCTV, WiFi, and Bluetooth into a unified sensor system.

Use Cases of Flame Analytics

Shopping Mall Optimization: Analyze foot traffic, dwell times, and customer flows to optimize tenant mix and improve overall mall performance.
Retail Store Analytics: Measure conversion rates, analyze in-store customer behavior, and run targeted marketing campaigns to boost sales.
Public Venue Management: Monitor visitor patterns and optimize staffing, services and space utilization in museums, airports and other public spaces.
Hotel Guest Experience: Track guest movements, preferences and engagement to personalize services and increase loyalty.

Pros

Combines multiple data sources for comprehensive insights
Offers both analytics and marketing capabilities in one platform
Integrates with existing infrastructure like CCTV cameras

Cons

May raise privacy concerns due to tracking of individual movements
Requires integration of multiple systems which could be complex

How to Use Flame Analytics

1. Set up sensors: Install Flame's people counting sensors or integrate with existing CCTV cameras, WiFi, and other data sources in your physical space.
2. Configure HyperSensor: Set up Flame's proprietary HyperSensor technology to unify data from multiple sensors and track visitor movements throughout the venue.
3. Measure traffic: Use the Traffic module to measure foot traffic at all touchpoints, including passers-by, venue visits, floors, and zones.
4. Analyze customer journey: Utilize the Customer Journey feature to understand visitor behavior, track movements across touchpoints, and improve customer experience.
5. Connect with visitors: Implement the Connect module to collect visitor contact information and send personalized marketing campaigns based on location, interests, and behavior.
6. Access analytics dashboard: Log in to Flame's analytics platform to view data visualizations, reports, and insights about your venue's performance.
7. Create conversion funnels: Use the platform to construct conversion funnels and benchmark different venues or areas to identify best practices.
8. Optimize staffing: Leverage traffic data and analytics to enhance staff planning and allocation.
9. Personalize marketing: Use collected data to segment audiences and automate personalized marketing campaigns to increase loyalty and sales.
10. Monitor KPIs: Track key performance indicators like traffic, conversion rates, dwell time, and average ticket size to measure and improve venue performance over time.

Flame Analytics FAQs

Flame Analytics is an advanced analytics platform for physical spaces that combines video and a broad range of data with AI to enhance decision-making and overall venue performance. It helps businesses understand customer behavior, measure venue performance, and connect with visitors to increase loyalty.

Analytics of Flame Analytics Website

Flame Analytics Traffic & Rankings
33.5K
Monthly Visits
#928655
Global Rank
#93
Category Rank
Traffic Trends: May 2024-Jan 2025
Flame Analytics User Insights
00:00:30
Avg. Visit Duration
2.17
Pages Per Visit
36.18%
User Bounce Rate
Top Regions of Flame Analytics
  1. ES: 84.02%

  2. US: 3.99%

  3. MX: 3.16%

  4. IN: 3.11%

  5. GB: 1.85%

  6. Others: 3.86%

Latest AI Tools Similar to Flame Analytics

TubeVoice
TubeVoice
TubeVoice is an AI-powered YouTube comment analyzer that helps content creators understand their audience by providing insights from video comments through automated analysis.
ReviewPower
ReviewPower
ReviewPower is an all-in-one platform that aggregates and analyzes trusted reviews from G2 and Capterra to help businesses gain valuable insights from customer feedback.
Insightfull
Insightfull
Insightfull is an AI-powered health tracking platform that helps users monitor symptoms, analyze health data, and receive personalized insights through symptom tracking, food logging, and medication management features.
SERPrecon
SERPrecon
SERPrecon is an advanced SEO tool that leverages vectors, machine learning, and natural language processing to help users analyze and outrank competitors by using the same methods as modern search engines.