Location Analytics

Make more informed decisions powered by
location analytics
Location analytics

At a glance

Cloud4Wi’s Location Analytics Solution enables enterprises to:

  • Translate WiFi events (connect/disconnect, roam, dwell) into meaningful metrics (visits, repeat rate, traffic distribution).
  • Visualize foot traffic and visitor behaviour across locations and zones — helping marketing, operations and strategy teams make decisions.
  • Connect the analytics data with broader tech ecosystem via connectors and APIs — feed CRM, CDP, BI dashboards.
Cloud4Wi offers over 50 pre-built connectors to integrate location intelligence with existing marketing and analytics platforms, enabling effortless activation of on-site behavioural data.

Leading global enterprises rely on Cloud4Wi

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Carmila 2
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The cordish company e1746433983501
Albertsons Companies 1 e1669203393955
campari group logo 2
Carmila 2
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busitalia logo
logo Ferrovie
Guess 1
The cordish company e1746433983501

Discover new insights with location analytics

Harness the power of your WiFi
to gain actionable insights into foot traffic within your locations

Traffic classifier

Transform WiFi events into visits at your locations and gain valuable location insights to make well-informed business decisions

Traffic trend analysis

Analyze foot traffic at your locations over time to unveil trends, including traffic fluctuations and average visit duration

Timeflow traffic analysis

Analyze foot traffic distribution in your locations by day of the week and hour of the day, and discover peak hours and peak days

Zone traffic analysis

Understand foot traffic distribution across different areas within a location over a specific timeframe, and discover the most visited zones

Featured product documentation

At a glance

Gain a comprehensive view of Cloud4Wi's location analytics solution
READ THE DATA SHEET

Hardware supported

Uncover whether your WiFi network provides location analytics capabilities
SEE THE LIST

Tailored set-up

Customize the computation of traffic metrics according to your preferences
EXPLORE SETTINGS

Client success spotlight

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Cloud4Wi helped PerDormire make data-backed decisions around store reopenings and marketing

Learn more

Frequently asked questions

Location analytics involves the use of location data to gain insights into customer behavior within physical locations. It's crucial for enterprises with physical locations, such as retail stores, venues, or offices, because it helps them understand how people interact with their environment, and deliver more relevant experiences, ultimately driving better business outcomes.

Location analytics can provide a wealth of data, including foot traffic trends, dwell times, peak hours, and repeat visit rates. These insights can be used to improve business performance by personalizing marketing campaigns based on visitor behavior, identifying underperforming areas, and evaluating the impact of promotions or events on customer engagement.

Cloud4Wi's Location Analytics solution uniquely harnesses the power of the existing WiFi network to gather valuable insights. It works by transforming WiFi events into meaningful visits, allowing enterprises to understand traffic trends within their locations. This means enterprises can gain actionable data and make informed decisions without needing to deploy additional, specialized hardware.

Cloud4Wi's Location Analytics solution enables enterprises to analyze a variety of critical foot traffic trends and patterns. You can identify fluctuations and average visit durations over time, revealing how long visitors typically stay. The solution also helps enterprises understand foot traffic distribution by day and hour, allowing them to pinpoint peak times and optimize operations accordingly.

Cloud4Wi's Location Analytics solution provides the capability to analyze traffic distribution across different zones within a location. This means enterprises can define specific areas of interest within their venue (e.g., product displays, seating areas, departments) and then identify the most visited areas. This insight is invaluable for improving the overall customer journey.

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