Dan Gildoni
CEO
P
Placense
Placense provides anonymized mobile device data analytics to generate actionable insights about visitor behavior at physical locations. This technology enables businesses to understand customer journeys, foot traffic patterns, and market potential, ensuring informed decision-making while maintaining data privacy compliance.
Updated 23 months ago
Funding
Raised to date
$6.8MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Funding rounds are not available yet.
Founders
Product
Problem
Businesses lack comprehensive insights into visitor behavior at physical locations, hindering their ability to understand customer journeys, foot traffic patterns, and market potential. Traditional methods of gathering this data are often inaccurate, expensive, and difficult to scale, leading to uninformed decision-making.
Solution
Placense provides anonymized mobile device data analytics to generate actionable insights about visitor behavior at physical locations. The platform analyzes aggregated and anonymized mobile device data to reveal customer journeys, catchment areas, consumer profiles, and loyalty patterns. This enables businesses to understand where their customers come from, where they go before and after visiting a location, and what their interests are. Placense delivers real-time data, historic backlogs, and precise location data without requiring any hardware installation.
Target Audience
Placense targets retail BI analysts, real estate managers, out-of-home marketers, strategy consultants, and mobility providers who need location-based insights to make data-driven decisions.
Features
- Anonymized mobile device data analysis compliant with GDPR and privacy regulations
- Real-time data updates for up-to-date insights on visitor behavior
- Historic data access for trend analysis and performance benchmarking
- Customer journey mapping to understand visitor movement patterns
- Catchment area analysis to identify where customers originate
- Consumer profiling to understand customer interests and demographics
- Loyalty tracking to measure repeat visitation rates
- Dwell time analysis to determine how long visitors stay at a location
- Footfall analytics to measure the number of visitors to a location