ANALYTICS & INSIGHTS

25+ metrics of real behavior

Objective, aggregated, and anonymous data. Understand flow, engagement, and conversion like never before.

16available metrics
85–95%estimated accuracy
100%GDPR & LGPD compliant
Flow

People count

Total number of people detected per period

Engagement

Dwell time

Average duration people stay in each zone

Engagement

Visual engagement

Level of attention and focus on products/speakers

Spatial

Attention heatmap

Heat map showing hot and cold zones

Flow

Movement peaks

Peak and low traffic hours

Performance

Conversion rate

Estimate of visitors vs. buyers/engaged

Analysis

Comparisons

Before/after, day/week, product A vs B

Spatial

Customer journey

Path traveled within the space

Performance

Attraction rate

Percentage of passersby who enter

Temporal

Seasonality

Patterns by day of week, hour, month

Performance

Window performance

Effectiveness in attracting visitors

Events

Speaker ranking

Objective comparison of engagement

Spatial

Interest zones

Areas that generate the most attention

Retail

Most viewed products

Items that generate the most visual interest

Engagement

Emotional reactions

Sentiment estimate (positive/neutral/negative)

Demographics

Demographic profile

Estimated age and gender breakdown (aggregated)

HOW IT WORKS

How we generate insights

01

People detection

Deep learning algorithms detect and track people in real time. No individual identification — only counting and movement.

02

Behavior analysis

We measure dwell time, gaze direction, body posture, and movement patterns to estimate engagement.

03

Aggregation and anonymization

Data is aggregated into collective metrics. Impossible to track individuals. 100% GDPR & LGPD compliant.

04

Visualization and reports

Interactive dashboard + executive PDF reports + CSV export for custom analysis.

About data accuracy

We work with estimates and trends, not absolute numbers. Accuracy ranges from 85–95% depending on the metric and lighting conditions.

The value lies in identifying patterns and comparing scenarios, not in counting every person with millimeter precision. It's like Google Analytics: you use it to understand trends, not to count every exact click.

NEXT STEP

Want to see these insights in practice?

Schedule a demo and see real report examples with metrics from your industry.