Business & Technology
Location analytics solutions have been around for a while. But despite the valuable data they can provide, they are still primarily perceived as a tool for big box retail environments, such as malls, grocery stores, and department stores.
Traditionally, location analytics is data commonly used to track consumers while they shop to help retailers do things like identify natural customer movement patterns, address congestion, identify places within a shopping environment that are less frequently visited, or place specific merchandise in high traffic areas.
But the reality is that any number of verticals can realize benefits from leveraging the sort of information that a presence analytics solution provides. Knowing where people are, where they’ve been, and how they’re moving around a location can be of key importance to a wide variety of vertical markets, including hospitality industries, transportation hubs, public venues, theme parks, and even large healthcare facilities. In fact, any business that needs to manage large numbers of people or evaluate the effectiveness of the placement of resources or services can benefit from location analytics soltions.
A locationing system can provide degrees of information, each of which provide value.
The simplest level is presence. At its most basic level, this information is highly binary in nature; either the person entered an establishment or didn’t.
The second level of location intelligence is area-based. People may be within an establishment, but you may want to also know how many of them actually travel to a specific sub-location within the site.
And finally, it can provide an actual x,y location that details where a person or device is specifically located.
Another critical piece of data that can be correlated to location is time. The addition of time expands presence, area, and location data to generate a whole new set of information. Presence by time can help an organization understand what times of day are the most popular for guests to visit an establishment. Within that location, looking at area data over time not only helps organizations determine the popularity of different destinations, but also provides transition data as people move from area to area. This allows for the correlation of visits to area A to follow-on visits to area B, for example. Location over time also allows for a walking path to be charted through a site. Even two people visiting the same four areas in the same order may look very different when one of those individuals stops to look at everything in an area while another person moves with purpose from A to C while only quickly passing through B.
The function of time can take on additional meaning when the same information is compared and contrasted across days, weeks, months, or years. This level of comparison opens up new ways to look at location data. Fortinet’s cloud-based FortiPresence solution makes all this possible by providing such data points as real-time location trends, total visitors, time spent at a location, comparison across areas or sites, and heat maps with animated flows.
It is obvious why retail was quick to adopt and use location solutions. After all, understanding and improving on the experience of shoppers on their property has high value. Guiding shoppers to specific goods or shopping areas can significantly improve sales. Further, customers with a positive experience tend to return, and in a highly competitive market, that’s a good result. However, generating positive experiences for people is not only of interest to retailers. This is something that many other industries strive for, and while some (like an airport) may not necessarily feel a need to ‘generate repeat business’, museums, theme parks, and hospitality venues certainly do. And at the end, airports still have an interest in ensuring that passengers can quickly and easily navigate the airport, as well as access food, restrooms, and shopping along the way to enhance their experience.
Taking a closer look at how retail uses location information can help other organizations imagine how they can also use that intelligence. For example:
Each of these examples has simple analogs outside of the context of retail. An airport (or other transit hub) would certainly like to know how people navigate their physical space, how long they spend waiting, and where they tend to do their waiting. Are there ‘dead’ areas that people are not frequenting that could be repurposed or redesigned to better effect?
We have already seen a theme park use this data to understand how guests move around their property and then provide targeted advertisements to encourage patrons to explore areas that are being under-visited. Similarly, if a museum adds a new exhibit, location data can be used to move patrons toward that exhibit, determine whether they actually visit that area, and if so, whether or not they spend time there.
Another valuable opportunity that an effective analytics tool can provide is a way to interact with visitors to a property. Of course, people feel differently about the use of Captive Portals, and their use may potentially require social login, so this debate may be better served by its own article at a later date. But even a simple landing page gives organizations an opportunity to interact with patrons, guests, or customers. Pushed surveys, coupons, or even a small ad for something going on at the site – especially when customized to someone’s observed patterns of behavior – can be valuable. Tying the results of such efforts to the data a locational analytics solution provides can add additional layers of information to analyze and capitalize on. For example, if new information is put on the portal page, does it cause a difference in behavior? Do specific sorts of incentives change desired behaviors? And if so, how much?
Deploying a system like this may seem complex. But the reality is that all of this can be implemented within the context of simply deploying Wi-Fi at the site. Given that most locations expect to have Wi-Fi (whether open to visitor access or not), the infrastructure is likely already there just waiting to be put to use to gain additional insights. Solutions such as Fortinet’s FortiPresence, built directly into all of Fortinet’s wireless management solutions – including FortiGate, FortiCloud, and FortiWLM – provide location analytics information in an easy-to-use and deploy web-based solution for easy data collection and analysis. And because they are fully interoperable
So what can location analytics do for you? It’s hard to know for sure unless you give it a try and see what insights it can provide. At Fortinet we try to make the process of understanding Location Analytics easy by offering a free tier of our FortiPresence analytics platform that is usable with all of our Secure Wireless Access architectures. You can create your own free account today here. Sometimes the most powerful way of convincing yourself is to start using something and see what happens.