Location data is not new. What is changing is how it can be used to provide additional context. In our recent webinar with Place Intelligence, we showed how mobility insights can move beyond counting visits and help provide insight into questions such as who is visiting, how different audiences behave, and what this may mean for planning, targeting, and performance.
By enriching aggregated mobility patterns with Experian Mosaic segmentation, you can gain a more contextual view of visitation patterns. This is not just about where people go, but the types of households and lifestyles that may be contributing to demand at different times and in different parts of a site.
During the session, we also showed how these insights can be explored interactively by filtering by time, location, and Mosaic group to help surface patterns and areas to investigate further. After the webinar, we received a great set of questions.
Prefer a quick overview?
This short video introduces how Place Intelligence mobility insights can be enriched with Experian Mosaic
to help provide insight into who may be visiting, not just how many visits occur.
Frequently asked questions
If you are wondering how the data is linked, how often it updates, and how it can be used, the FAQs below cover the most common questions from the webinar.
Q: Can you differentiate between local and non-local visitors?
A: Yes. The insights can be used to distinguish between local and non-local visitors based on travel behaviour and common overnight location patterns. This can help provide a clearer view of whether a location appears to be driven more by locals, commuters, or visitors.
Q: How is Experian Mosaic applied to mobility data, and what does the “linking” process involve?
A: Mobility patterns can be enriched with Mosaic by by linking devices to a derived likely household based on where they are typically located, then mapping that household to Mosaic segments. Outputs are provided as aggregated insights, not individual or household-level records.
Q: Can I explore how visitation and Mosaic audience mix have changed over time (month, season, year)?
A: Yes. The platform supports historical views so you can explore changes in visitation and audience mix over time, depending on location coverage and available history.
Q: What is the smallest level of detail you can analyse?
A: Analysis can be conducted at a relatively granular level, particularly in high-activity areas, and can be explored across zones, buildings, and defined site shapes. The practical level of detail depends on the location and sample strength.
Q: How frequently is the data refreshed, and how quickly do new buildings or developments appear in the platform?
A: Data can be processed on an ongoing basis, with the platform typically refreshed monthly. New activity may appear soon after a place is being visited, while map footprints depend on mapping updates.
Q: Can I find where specific Mosaic segments concentrate at certain times?
A: Yes. You can filter by Mosaic segment and time to explore where different audiences may concentrate within a location.
Q: Can the platform show how people move through a precinct, including cross-visitation between buildings or zones?
A: Yes. The platform can be used to explore movement patterns such as how visitors move between zones and buildings, where they may come from, and how long they spend on site. Results are provided as aggregated patterns.
Q: Beyond foot traffic, what other insights can I access?
A: You can also explore measures such as dwell time, visitor origins and catchments, movement flows, and before-and-after comparisons across selected time periods.
Q: Can I compare multiple locations?
A: Yes. You can compare locations using consistent measures such as visitation patterns, dwell behaviour, and Mosaic mix.
Q: How does the platform stay privacy-safe, and what safeguards exist to ensure insights are focused on patterns not people?
A: Insights are provided in aggregated form and designed to focus on patterns and trends, not individuals. The platform does not provide access to identifiable device or household-level outputs.