General about how we can help them and answer any questions.
ARM is made up of a great team of technologists we are problem solvers and solution builders. We have built the ARM solution from the ground up and we always take on client feedback in order to build a better product.
We are not marketeers so we have no Bias when it comes to the data, the data is not ARM’s it is our client’s and this allows our client’s full control over the story behind the data.
We are fully transparent, so much so that we give our clients the raw data as standard. We also ensure that clients understand what our system can and cannot do.
ARM prides itself on transparency. We recommend you have statement in the T&C for ticket holders or display a sign on your premises or on your website outlining that customer data will be passively captured while on the premises.
No, we do not build a tolerance into the data. We stand over the data that the system collects. However, within the dashboard clients have the ability to apply a multiplier themselves to the data (this will not affect the collected data). Some of our competitors automatically apply a multiplier to the data., if they do you should always ask for access to the raw data you will see clearly that the numbers will not stack up.
The data collected by the sensors is called aggregate data which means its only statistical information and no personal data is collected. This means there is no way to personally identify a person with the data collected. ARM is GDPR compliant in Europe which also means there is no privacy infringement issues based on the strict guidelines in the European Union.
The number of sensors would depend on the size and scope of the venue. If you are looking at a small retail store to a convention center the number of sensors would vary.
The sensors need to be positioned upright in a clear and unobstructed location away from metal (such as a chain link fence), microwaves, high-powered electronics (high powered speakers), high electronic area where lots of Wifi access points are available as this interferes with the signals (compete for signals)
For example, if you put the sensors in a metal box or a trunk of a car, it will dampen the signal. Sensors can be attached to a pole and although height is not
The sensors can be put in as many locations as you would like. For example, you can place them at a sponsorship event and then in stores to see how much more interest or potential clients have shown interest to your brand.
The more time you have sensors running at your locations the more accurate the reports as they will show you history over time and you can analyze and compare data across months or years.
The sensors are accurate in that they can show you proximity of close, near and far distances from the sensors. The ranges for these are approximately….
In one venue there were a total of 289,661 unique visitors for the duration of the championships. Of the 289,661 Unique Visitors, there was 15,571 who were returning visitors (they visited the championship on more than one occasion) this accounts for 5.3% of all visitors were repeat visitors. If we apply the same ratio to the box office figures of 301,837 we are within a margin of 1.3% of the box office figures.
We track movement via sensors so yes we can track phones though not to a specific location but rather to an area. These signals contain a unique identifier for the device which we then use to build a picture of movement around the event.
If the smart device is off then it is not emitting any signals. The phone doesn’t have to be connected to a wifi but it does have to be enabled. The sensors only pick up data emitted through the wifi signals. If no wifi signal is available then there is nothing for the sensors to pick up.
As we stream the data in realtime you have access to the data from the very second our system start receiving data during the live hours of your event just click here to log into your dasthboard to view your event
Dwell MAC Address from attendees phone – The MAC address is annonymised on the sensors itself. The annonymised UUID is then sent to our servers along with the following additional information.
Signal strength (RSSI) – The signal strength between the sensor and the attendee’s device.
Time stamp – The time that the packet of information was captured.
MAC Address from the sensor – MAC Address of the ARM sensor
Channel – The wifi channel that the ARM sensor and the attendees device connected on (This is where our Advanced Radio Mapping listening algorithm excels)
Although we have reports already set up for your convenience you can also customize your own reporting.
We have worked very hard to ensure the deployment of sensors is simple. It is so simple your grandparents can do it. Of course, we offer support every step of the way whether it is your first deployment or your 50th.