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.

USE CASE

WHAT IS CONVERSION OPTIMIZATION?

Conversion optimization in physical retail means improving how many visitors complete a purchase — based on consistent measurement of footfall and outcomes across time and locations.

VERIFIED BASELINE

Measure footfall and outcomes consistently before making changes.

COMPARABLE METRICS

Standard definitions keep conversion comparable across stores and time.

CONTROLLED UPLIFT

Test changes and verify uplift with like-for-like comparisons.

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

WE DON'T ESTIMATE TRAFFIC.
WE MEASURE IT.

Request a Technical Measurement Review

WHAT YOU RECEIVE

Comprehensive review of your current measurement structure
Identification of risks, gaps and structural dependencies
Assessment of scalability and operational robustness
Clear, actionable recommendations

✓ No obligation
✓ Tailored to your industry

CONVERSION OPTIMIZATION FOR RETAIL CHAINS

Get Started With People Counting

VERIFIED BASELINE

COMPARABLE METRICS

CONTROLLED UPLIFT

FOOTFALL (ENTRANCES)

TRANSACTIONS (POS)

PHYSICAL CONVERSION RATE

REVENUE PER VISITOR

VISIT DURATION

ZONE ENGAGEMENT

QUEUE IMPACT

LOCATION BENCHMARK INDEX

INCONSISTENT COUNTING METHODS

MISALIGNED DATA SOURCES

FALSE UPLIFT FROM UNCONTROLLED VARIABLES

BENCHMARK PERFORMANCE ACROSS STORES

QUANTIFY IMPACT OF STORE CHANGES

REDUCE CONVERSION LOSS FROM QUEUES

STANDARDIZE REPORTING FOR HQ

VALIDATE CAMPAIGN PERFORMANCE

FASHION & APPAREL CHAINS

GROCERY & CONVENIENCE

ELECTRONICS RETAILERS

SHOPPING MALLS (TENANT BENCHMARKING)

DEPARTMENT STORES

OUTLET CENTERS

STANDARDIZED DEPLOYMENT

PRIVACY-FIRST DESIGN

SCALABLE INFRASTRUCTURE

30+ YEARS OF COUNTING EXPERTISE

What is a physical conversion rate?

Do we need POS integration?

How accurate is the data?

Can we compare different store formats?

How long does it take to establish a baseline?

Can we measure queue-related conversion loss?

Is the system GDPR compliant?

Can this be rolled out across multiple countries?

30+ YEARS OF ACTIONABLE INSIGHTS

Transforming Visitor Data into Business Success

WE DON'T ESTIMATE TRAFFIC. WE MEASURE IT.

WHAT YOU RECEIVE

Transforming Visitor Data
into Business Success

WE DON'T ESTIMATE TRAFFIC.
WE MEASURE IT.