E-commerce knows everything. You, almost nothing.
Compare what e-commerce has vs. what you have today
E-commerce has
- How many visits (Google Analytics)
- Bounce rate
- Most viewed products
- Average time on site
- Complete conversion funnel
- Click heatmap
- User journey
- Layout A/B testing
- Demographic segmentation
- ROI of each campaign
Physical store doesn't have
- How many people entered (only knows sales)
- How many left without buying
- Products that generated most interest
- Average dwell time
- Where people stop and look
- Hot zones vs. dead zones
- Path the customer takes
- Impact of layout changes
- Profile of who enters
- ROI of window or promotion
Eagle Sight AI brings e-commerce intelligence to your physical store
20+ metrics you'll have
The same data that e-commerce has
Visitor flow
Entries and exits by hour/day
Conversion rate
Visitors vs. buyers
Store heatmap
Hot and cold zones
Dwell time
Average and by zone
Most viewed products
Real interest, not just sales
Movement peaks
Busiest hours
Customer journey
Path through the store
Window performance
Attraction rate
Real ROI examples
Sales increase
Heatmap-optimized layouts increase sales by up to 15%, according to RSVC retail optimization study.
Analytics ROI
In-store analytics solutions generate 300-500% ROI due to impact on sales and operational efficiency.
Conversion improvement
Strategic product placement in hot zones increases conversion rate by up to 20%.
8 types of stores already using it
Street stores
Optimize window, understand flow, improve conversion
Mall stores
Compare performance vs. competitors, justify rent
Chains and franchises
Compare stores, identify best practices, standardize
Supermarkets
Aisle heatmap, optimize shelves, reduce losses
Fashion stores
Most viewed products, layout testing, collection performance
Dealerships
Dwell time, interest by model, salesperson effectiveness
Home decor stores
Zones of greatest interest, customer journey, conversion by environment
Kiosks and pop-ups
Location ROI, promotion performance, flow by time
How to implement
What you need
- •IP cameras (existing or new)
- •Internet (5 Mbps per camera)
- •Strategic positioning
- •Visible notice to customers (GDPR)
Implementation time
- •Day 1: Installation and configuration
- •Day 2: Calibration and testing
- •Day 3: Team training
- •Day 7: First report
Frequently asked questions - Retail
Does it work for small stores?▼
Yes. From kiosks to large stores. We adjust the solution to your size and budget.
Do I need to notify customers?▼
Yes, for transparency and GDPR compliance. But since the data is aggregated, there is no individual identification.
How much does it cost?▼
Depends on number of cameras and features. On average, $350 to $1,200/month. Typical ROI in 3-6 months.
Can I test before hiring?▼
Yes. We offer a 14-day trial period to validate the solution in your store.
How do I compare with other stores?▼
If you have a chain/franchise, we can compare performance between stores. Aggregated and anonymous data.