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See Traffic. Track Engagement. Drive Conversion.
Measure every customer's journey — from walking past your store to making a purchase — with retail store analytics software powered by your existing CCTV. No new hardware required.
Built for Retail operators who want to optimize conversion rates, staff engagement, and store layout.
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See Traffic. Track Engagement. Drive Conversion.
The Retail Conversion Challenge
Staff-Traffic Misalignment
Staff schedules don't match customer traffic patterns. Peak hours understaffed, lulls overstaffed.
Misalignment costs 5-10% in lost conversion
No Conversion Visibility
Sales are down, but you can't see where customers drop off in the visit → interaction → buy funnel.
80% of retailers can't see their conversion funnel in real time
Customer Neglect
Shoppers browse without being greeted or helped. No data on whether staff are engaging.
Lack of staff engagement costs 3-5% in conversion
The Retail Conversion Challenge
Staff-Traffic Misalignment
Staff schedules don't match customer traffic patterns. Peak hours understaffed, lulls overstaffed.
Misalignment costs 5-10% in lost conversion
No Conversion Visibility
Sales are down, but you can't see where customers drop off in the visit → interaction → buy funnel.
80% of retailers can't see their conversion funnel in real time
Customer Neglect
Shoppers browse without being greeted or helped. No data on whether staff are engaging.
Lack of staff engagement costs 3-5% in conversion
Three Steps to Live Performance Management
Connect Existing CCTV
No new hardware. AI processes your current camera feeds across all store locations
Define KPIs & Targets
Set interaction rate, greeting, conversion standards per store and category
Monitor & Benchmark
Compare performance across stores in real time. Drill into outliers instantly.
Three Steps to Live Performance Management
Connect Existing CCTV
No new hardware. AI processes your current camera feeds across all store locations
Define KPIs & Targets
Set interaction rate, greeting, conversion standards per store and category
Monitor & Benchmark
Compare performance across stores in real time. Drill into outliers instantly.
Three Steps to Live Performance Management
Connect Existing CCTV
No new hardware. AI processes your current camera feeds across all store locations
Define KPIs & Targets
Set interaction rate, greeting, conversion standards per store and category
Monitor & Benchmark
Compare performance across stores in real time. Drill into outliers instantly.
See It in Action
Watch how Store Analytics transforms conversion optimization in real stores.
Powerful Capabilities for Retail Optimization
Full Sales Funnel Visibility
Track every customer from entry to purchase. Accurate traffic counting with staff/non-customer filtering and group shopper identification.
Zone & Category Heatmaps
Evaluate zone performance with footfall, dwell time, and conversion metrics. Identify underperforming categories and optimize store layout.
Service Excellence Scoring
Quantify key conversion drivers: staff interaction rate, greeting speed, customer dwell time, and bounce rate from CCTV.
Staff-Traffic Alignment
Optimize staffing levels during peak periods. Alert when staff positioning misaligns with customer traffic.
Powerful Capabilities for Retail Optimization
Full Sales Funnel Visibility
Track every customer from entry to purchase. Accurate traffic counting with staff/non-customer filtering and group shopper identification.
Service Excellence Scoring
Quantify key conversion drivers: staff interaction rate, greeting speed, customer dwell time, and bounce rate from CCTV.
Zone & Category Heatmaps
Evaluate zone performance with footfall, dwell time, and conversion metrics. Identify underperforming categories and optimize store layout.
Staff-Traffic Alignment
Optimize staffing levels during peak periods. Alert when staff positioning misaligns with customer traffic.
Proven Results in Retail Performance
+10.2%
Conversion Rate YoY
SuperSports, 100+ stores
+9.7%
Sales per visitor YoY
Maison Fashion, 150+ stores
+12.5%
Sales per Sqm
CellphoneS, 150+ stores
Store Analytics FAQs
What is retail store analytics software?
Retail store analytics software measures customer behavior inside physical stores — including foot traffic, conversion rates, staff interactions, zone performance, and dwell time. It helps multi-location retailers understand why some stores outperform others and identify specific actions to improve results.
When should a retail chain invest in store analytics?
Most chains invest in store analytics when they notice inconsistent performance across locations but can’t identify why. Common triggers include declining conversion rates, inability to measure staff engagement, or reliance on POS data alone — which shows what sold but not why customers didn’t buy.
Does store analytics require new hardware?
Not always. Some platforms, including Palexy, work with existing CCTV cameras — even limited-bandwidth ones. Others require proprietary sensors or dedicated hardware. If you already have cameras in your stores, ask whether the platform can process your existing feeds before purchasing new equipment.
Who uses retail store analytics?
Store analytics is typically used by retail operations directors, regional managers, and store managers in multi-location chains. Operations teams use it to benchmark performance across stores, identify conversion gaps, and align staffing to customer traffic patterns.
How is camera-based store analytics different from traditional people counters?
Traditional people counters measure door entries only. Camera-based analytics uses AI to track the full customer journey — filtering out staff and non-customers, identifying group shoppers, measuring interaction rates, and mapping zone-level behavior. This gives you conversion data, not just headcounts.
Palexy FAQ Reference
What is retail store analytics software?
Retail store analytics software measures customer behavior inside physical stores — including foot traffic, conversion rates, staff interactions, zone performance, and dwell time. It helps multi-location retailers understand why some stores outperform others and identify specific actions to improve results.
Who uses retail store analytics?
Store analytics is typically used by retail operations directors, regional managers, and store managers in multi-location chains. Operations teams use it to benchmark performance across stores, identify conversion gaps, and align staffing to customer traffic patterns.
When should a retail chain invest in store analytics?
Most chains invest in store analytics when they notice inconsistent performance across locations but can’t identify why. Common triggers include declining conversion rates, inability to measure staff engagement, or reliance on POS data alone — which shows what sold but not why customers didn’t buy.
How is camera-based store analytics different from traditional people counters?
Traditional people counters measure door entries only. Camera-based analytics uses AI to track the full customer journey — filtering out staff and non-customers, identifying group shoppers, measuring interaction rates, and mapping zone-level behavior. This gives you conversion data, not just headcounts.
Does store analytics require new hardware?
Not always. Some platforms, including Palexy, work with existing CCTV cameras — even limited-bandwidth ones. Others require proprietary sensors or dedicated hardware. If you already have cameras in your stores, ask whether the platform can process your existing feeds before purchasing new equipment.