Optimize customer experience through AI-driven analytics
Flame Analytics helps physical businesses understand customer behavior using AI and sensor technology. It tracks foot traffic, analyzes shopping patterns, and provides insights to improve space utilization. Particularly valuable for retail chains, malls, and hospitality venues looking to boost customer loyalty and sales.
Measure foot traffic patterns to optimize space utilization
Visualize customer paths through physical locations
AI-powered sensors for accurate behavior tracking
Identify opportunities to increase customer retention
Request a demo through their website to discuss implementation
Uses HyperSensor technology and other sensors for data collection
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Recent data shows that Flame Analytics has 19.8K monthly visits (-23.6% decrease from the previous month), 33.0% bounce rate, and average 2.88 pages per visit.
Traffic is primarily driven by 6 different sources, with users from 5 countries worldwide, led by Spain contributing 80% of total traffic. SEO performance is shown by 5 tracked keywords, with "flame" being the top-performing keyword with 55.7K monthly searches. See below for more info.
Monthly Visits
19.8K
Pages per Visit
2.88
Bounce Rate
33.0%
Average Time on Site
31s
| SEO Keyword | Volume | CPC |
|---|---|---|
| flame | 55.7K | $0.74 |
| shop in shop model | 80 | - |
| wifi en los restaurantes viena | 30 | - |
| visual merchandising | 17.1K | $1.38 |
| ibeacon | 3.0K | $0.32 |
| Source | Traffic Share |
|---|---|
| Direct | 48% |
| Search | 21% |
| Social | 3% |
| Referrals | 13% |
| Paid Referrals | 15% |
| Country Name | Traffic Share |
|---|---|
 | 80% |
 | 8% |
 | 5% |
 | 4% |
 | 2% |
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