ASSESSING VISITOR COMPOSITION, SUCH AS IDENTIFYING TYPES OF VISITORS TO A LOCATION
A variety of techniques for assessing visitor composition to a location in conjunction with one or more events are disclosed. Traffic associated with the presence of a set of devices at a location is received. The devices can be segmented based on a status—including into “recent” visitors and “re-engaged visitors.” A determination can be made of which additional events a given device was present at. A determination can be made as to how much time passes after an event before a given device returns to a location. A determination can be made as to the number of times a device visits a location during the event.
1 . At least one non-transitory, computer-readable medium carrying instructions, which when executed by at least one data processor, performs operations, the operations comprising:
wirelessly receiving traffic data associated with the presence of a set of mobile devices at a physical location,
wherein each mobile device in the set of mobile devices is associated with a different user,
wherein the traffic data is received via a wireless receiver located in or near the physical location, and,
wherein the physical location is an enclosed location of a building;
segmenting each mobile device of the set of mobile devices based on a status, by:
associating a first set of mobile devices with a recent status, and
associating a second set of mobile devices with a re-engaged status,
wherein the re-engaged status represents mobile devices that have visited the same location at least twice, and
wherein a current visit to the location was more than a selected number of days ago from a first visit; and
providing data associated with the segmentation as output to infer behavior of users of the mobile devices relative to the location.
2 . The computer-readable medium of claim 1 wherein individual users are identified using electronic addresses obtained or derived from wireless signals received from the mobile devices, wherein the operations further comprise determining a comparison between recent and re-engaged users, wherein the comparison comprises a ratio, and wherein the ratio is an event frequency reflecting a ratio of users recorded at an event at the location across distinct segments of time.
3 . The computer-readable medium of claim 1 wherein the operations further comprise determining a comparison between recent and re-engaged users, and providing the comparison as output for reporting, wherein the physical location is a store, and wherein the selected number of days is customizable based on customer cycles for differing types of businesses.
4 . The computer-readable medium of claim 1 wherein the operations further comprise determining a status with respect to first and second events at the physical location, and performing a comparison between visitor status breakdown at the first event and visitor status breakdown at the second event.
5 . The computer-readable medium of claim 1 wherein the operations further comprise determining a status with respect to an event at the physical location, wherein the event reflects a new marketing campaign.
6 . The computer-readable medium of claim 1 wherein the physical location is a store, wherein wirelessly receiving includes receiving WiFi or Bluetooth identification signals from mobile devices of users within or adjacent to the store, and wherein the status includes newly recognized mobile devices, recent mobile devices that have visited the physical location at least twice within the last 30 days, and mobile devices that have re-engaged with the physical location by having visited at least twice and a second visit has been over 30 days since the first visit.
7 . A computer-implementable method, comprising:
wirelessly receiving traffic data associated with the presence of a set of mobile phones at a location,
wherein each mobile phone in the set of mobile phones is associated with a different visitor, and
wherein the traffic data is received via a wireless receiver located in or near the location;
filtering the received traffic data to identify mobile phones associated with visitors to the location and mobile phones of employees or mobile phones of users walking by the location;
categorize each of the set of phones based on a status, wherein a first status is recent status and a second status is re-engaged status; and
providing a displayable report of data associated with the categorization as output to infer behavior of visitors of the mobile phones in the location.
8 . The method of claim 7 wherein the operations further comprise determining a comparison between at least the amount of recent and re-engaged visitors, and providing the comparison as output, wherein the comparison comprises a ratio.
9 . The method of claim 7 wherein the operations further comprise determining a comparison between at least the amount of recent and re-engaged visitors, and providing the comparison as output.
10 . The method of claim 7 wherein the operations further comprise determining a status with respect to first and second events at the location, and performing a comparison between visitor status breakdown at the first event and visitor status breakdown at the second event.
11 . The method of claim 7 wherein the operations further comprise determining a status with respect to an event at the location, and wherein the filtering includes employing a decision tree of rules to filter out phones as being in the location for too short or too long of a selected duration.
12 . The method of claim 7 wherein the location is a store, wherein wirelessly receiving includes receiving WiFi identification signals from mobile phones of visitors within or adjacent to the store, and wherein the status includes newly recognized mobile phones, mobile phones re-engaged with the location by having visited at least twice, and recent mobile phone that have both re-engaged with the location and have visited the location within the last 30 days.
13 . A system, comprising:
a sensor for receiving traffic data from a set of phones at a location;
a processor, coupled to the sensor, and configured to:
receive the traffic data, wherein the traffic data is associated with the presence of the set of phones at the location;
segment the phones based on a status, wherein a first status is recent status and a second status is re-engaged status; and
provide data associated with the segmentation as output; and
a memory coupled to the processor and configured to provide the processor with instructions.
14 . The system of claim 13 wherein the sensor is a Bluetooth or WiFi access point at or near the location, wherein the processor is further configured to determine a comparison between at least the amount of recent and re-engaged visitors and provide the comparison as output, and wherein the comparison comprises a ratio.
15 . The system of claim 13 wherein the processor is further configured to determine a comparison between at least the amount of recent and re-engaged visitors and provide the comparison as output.
16 . The system of claim 13 wherein the processor is further configured to determine the status with respect to an event, and wherein the event is a first event and wherein the processor is further configured to perform a comparison between a visitor status breakdown at the first event and a visitor status breakdown at the second event.
17 . The system of claim 13 wherein the processor is further configured to determine the status with respect to multiple different events and to provide displayable report data to infer success among the multiple events based on the traffic data is associated with the presence of the set of phones at the location.
18 . The system of claim 13 wherein the processor is further configured to implement data ingestors configured to handle concurrent traffic data ingestion and rewrite the traffic data into a normalized and canonical format, and wherein the processor employs parsers specific to sensor hardware manufacturers.
19 . The system of claim 13 wherein the processor is further configured to implement data ingestors to process the traffic data and store in the memory at least three of: a unique identifier or manufacturer identifier for the sensor, a flag indicating whether the sensor is an access point, a minimum signal strength for traffic data received from each phone, a sum of the signal strength squared, a first signal strength detected, a last signal strength detected, a maximum signal strength, a summation of signal strength, a sum of signal strength cubed, a timestamp of first frame received, or timestamp of last frame received.