How does CountMatters support sales analytics?

CountMatters links foot traffic with conversion data to help businesses understand what drives sales, identify bottlenecks, and optimize performance.

Is sales and visitor tracking GDPR-compliant?

Yes. Our solution is fully GDPR-compliant. All data is anonymized on-device with no personal identifiers or facial recognition involved.

What types of data can I track for sales analytics?

Track real-time footfall, conversion rates, dwell time, sales by zone, and product engagement using our AI-powered sensors and analytics dashboard.

REAL-TIME STABILITY

98%

Reliable live status

Act on capacity measurement you can trust — designed for operational decisions.

STAFFING EFFICIENCY

35%

Less overstaffing

Align shifts with real capacity patterns — reduce waste at peak and off-peak.

CONGESTION CONTROL

25%

Fewer bottlenecks

Trigger routing, entrances, or service actions before queues become problems.

UTILITY OPTIMIZATION

15%

Smarter HVAC runtime

Use capacity measurement as a control signal — reduce unnecessary runtime in low-use areas.

ALERT AUTOMATION

90%

Less manual checks

Automate threshold alerts and reduce reliance on ad hoc walkthroughs.

FASTER RESPONSE

Faster operational action

Shorten time from signal to action with live triggers.

Figures shown represent typical ranges observed in operational environments. Actual outcomes depend on site layout, staffing model, and implementation scope.

Metric layer

WHAT IS MEASURED

A consistent metric model makes conversion comparable across stores, formats, and time periods.

FOOTFALL (ENTRANCES)

Verified counts of visitors entering the store.

TRANSACTIONS (POS)

Completed purchases from POS systems.

PHYSICAL CONVERSION RATE

Transactions ÷ footfall. Standardized across stores and time periods.

REVENUE PER VISITOR

Revenue ÷ footfall. Available when connected to POS systems.

VISIT DURATION

Average time spent in store. Indicates engagement and potential friction.

ZONE ENGAGEMENT

Movement patterns within store areas. Identifies high- and low-performing zones.

QUEUE IMPACT

Correlation between wait time and conversion loss.

LOCATION BENCHMARK INDEX

Normalized performance comparison across the portfolio.

Authority section

WHY MEASURING CONVERSION IS DIFFICULT

Most teams don’t fail because they lack dashboards. They fail because the underlying data is not comparable across stores, systems, and time periods.

INCONSISTENT COUNTING METHODS

What goes wrong

Different sensors and placements create non-comparable data.

CountMatters

Standardized deployment methodology and validation.

MISALIGNED DATA SOURCES

What goes wrong

Footfall and POS timestamps often do not align.

CountMatters

Structured integration and reporting windows.

FALSE UPLIFT FROM UNCONTROLLED VARIABLES

What goes wrong

Weather, campaigns, and staffing changes distort results.

CountMatters

Baseline definition and like-for-like comparison periods.

Outcome layer

WHAT IT ENABLES

When conversion is measured consistently, you can prioritize improvements and roll them out across your portfolio with confidence.

BENCHMARK PERFORMANCE ACROSS STORES

Identify underperforming locations immediately.

QUANTIFY IMPACT OF STORE CHANGES

Measure the effect of layout adjustments, signage, and checkout capacity.

REDUCE CONVERSION LOSS FROM QUEUES

Prove the ROI of queue improvements.

STANDARDIZE REPORTING FOR HQ

One comparable metric across formats and regions.

VALIDATE CAMPAIGN PERFORMANCE

Separate traffic uplift from actual conversion uplift.

Bridge to industries

USED IN

Conversion optimization applies wherever performance is measured across stores, formats, and locations.

FASHION & APPAREL CHAINS

Benchmark conversion across store formats and regions.

GROCERY & CONVENIENCE

Measure throughput and the conversion impact of queues at peak times.

ELECTRONICS RETAILERS

Quantify the effect of layout changes and assisted selling on conversion.

SHOPPING MALLS (TENANT BENCHMARKING)

Standardize reporting for tenants and zones with comparable footfall inputs.

DEPARTMENT STORES

Track zone engagement and conversion drop-offs across floors and departments.

OUTLET CENTERS

Validate campaign uplift by separating traffic spikes from conversion uplift.

Trust layer

BUILT FOR ENTERPRISE RETAIL

Procurement-grade deployments require comparability, reliability, and privacy-first design.

STANDARDIZED DEPLOYMENT

Comparable data across all sites.

PRIVACY-FIRST DESIGN

No facial recognition. GDPR-aligned architecture.

SCALABLE INFRASTRUCTURE

Supports large multi-country portfolios.

30+ YEARS OF COUNTING EXPERTISE

From hardware accuracy to enterprise analytics.

FAQ

FREQUENTLY ASKED QUESTIONS

30+ YEARS OF ACTIONABLE INSIGHTS

MAKE CONVERSION NUMBERS YOU CAN DEFEND.

New deployment or replacing an existing setup? Book a Conversion Measurement Review.

WHAT YOU RECEIVE

Review of your current setup — or a conversion measurement plan from scratch
Alignment of definitions: visits, transactions, conversion, and time windows
Risk check: matching errors, missing sales feeds, and “false conversion” scenarios
Scalable reporting across stores, regions, and retail formats

✓ No obligation
✓ Tailored to your retail use case

CONVERSION OPTIMIZATION FOR RETAIL CHAINS

Get Started With People Counting

REAL-TIME CAPACITY MEASUREMENT — OPERATIONAL IMPACT