Traffic Counts for all Major Road Segments in Canada

Tired of municipalities with outdated or unavailable traffic studies? PiinPoint combines mobile location data with machine learning to provide accurate, consistent and always up-to-date traffic counts for all major road segments across Canada.

Observe and Understand Customer Behaviour

PiinPoint’s Location Intelligence platform provides up-to-date mobile location data, helping you learn more about your customers, competition, properties and community’s movement behaviour.

PiinPoint has partnered with Near, a leading provider of anonymized mobile location data, to draw insights from 45 million mobile devices each month across North America.

Visits Over Time

This Location

My Location Average

Frequency of Visits

This Location

My Location Average

Deep Understanding of your Customers

Mobile Location Data provides detailed visitor insights, giving you a snapshot of who your customers are, how often they visit a location and how their behaviour changes over time.

Get insight on:

Visitor Demographics
Total and Frequency of visits
Averages visits per day
Busiest time of the day or week
Visitor Trends and Projections

Geofence a Property or Market

Draw your own custom geofence around nearly any area to get more granular visitor insights. Whether it be a building footprint, a local park, or a city block, geofencing areas allows you to narrow in on visits to that area.

Average Visits to Geofence

2,792

Unique visitors per day

82,918

Total unique visitors

Visitors Demographics

$96,365

Median Household Income

30.9

Average Age

Trade Area (based on visitor homes)

60% TOTAL VISITORS

Discover the Trade Areas for your Locations

It doesn’t matter if you have access to customer data now or not, mobile location data allows you to better understand a property’s trade area, where your customers are coming from, and what kind of capture rates you have in each market.

Mobile Location Data FAQ

Where does the Mobile Location Data data come from?

PiinPoint partners with a third-party vendor called SafeGraph. Their base layer of data represents a sample size of up to 12% adjusted by geography, and is extrapolated by PiinPoint to represent 100% of the North American population. PiinPoint extrapolates by adjustments based on PiinPoint’s population statistics, compared to observed device home and work location counts. SafeGraph’s data is sourced from over 1,000 iOS and Android apps on mobile phones, which either make use of cookies or ask the user to enable access to their location settings.

How do you protect the privacy of our customers?

We take privacy seriously at PiinPoint. We have partnered with SafeGraph, a leading provider of anonymized mobile location data. The data is collected from smartphone users who have given the app developers consent to gather location data. Data is de-identified, aggregated to a Dissemination Area (DA), ensuring that home or work locations are not shown. Geofenced areas must have a minimum of 15 people within its borders to be visualized.

How often is the data updated?

Data is delivered to PiinPoint daily, and is updated into PiinPoint on a monthly basis to account for lagging observation delivery (typically 1-5 days). Mobile location data from PiinPoint captures historical data up to 2 years old, and into the present day.
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Most municipalities do not update AADT for all road segments each year. With PiinPoint’s mobile data, we are able to deliver the newest snapshot of AADT counts for any given road segment. This relieves our users from having to worry that traffic patterns haven’t changed since the latest version of AADT was created for any given area.

What is your data coverage?

PiinPoint’s Mobile Traffic data is available for all of North America. PiinPoint geofencing and Visitor Reports are available across Canada.

How does PiinPoint ensure accuracy?

PiinPoint has conducted extensive accuracy testing in order to be confident in our mobile data predictions. Using a supervised machine learning model, our accuracy measurements are currently at 81.62% for AADT predictions.

How is PiinPoint’s Mobile Data different from Annual Average Daily Traffic (AADT)?

PiinPoint’s Mobile Traffic data is not so different from AADT studies, except that it is based on a consistent set of observations (anonymized mobile devices), as opposed to a variety of collection methodologies and display options. PiinPoint’s Mobile Traffic is always displayed by road segment, as opposed to point-based locations.

How do you Calculate Visits?

Visits are calculated based on devices intersecting a geofence within a requested time frame. Any single intersection is staged as a potential visit. For each, PiinPoint assesses other factors of the device at the time frame including its GPS accuracy and velocity, in order to disqualify visits that cannot be confidently placed in the geofence.

How do you Calculate Traffic Volumes?

Traffic volumes capture all intersecting devices along a queried road segment. Similar to visits, intersecting devices are staged as a potential vehicle or pedestrian and undergo qualification tests to identify the type of traveller. Qualified devices are counted and summarized as a result of the traffic volume request.

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Traffic Counts for all Major Road Segments in Canada

AVG Vehicle Volume on Segment

Observe and Understand Customer Behaviour