Hi Nik, We are just starting a POC pilot for a similar solution at SFMOMA. We are still in the early stages of the project and are working on ironing out a few issues around the initial configuration and understanding the ongoing work required to maintain the solution over time (i.e. if gallery wall configurations change frequently one must resurvey the space - which requires a human being and can be time consuming).
At SFMOMA, we've started out with a series of high level questions we'd like answered by such a solution. What we've learned so far is that Wi-Fi tracking systems are really good at getting at proportionality - for example 30% of all tracked Wi-Fi devices move between gallery A on a floor 2 and gallery B on floor 3. The real value in this data comes from applying the Wi-Fi proportionality to "real" counts captured with traditional people counting systems (we've installed infra-red people counters in our gallery entrance thresholds) as well as counts of ticket sales/scans. You really need all three of these mechanisms to help understand the actual volume of people move through specific spaces in your venue. The couple of early take aways are: A single tracking solution will not give you the complete picture of how many folks are coming into your facility and the specific spaces they are moving through You'll likely need a data analyst to help aggregate information from multiple data sources in order to answer the questions your organization is seeking answers to Once our system is operational for a few months, we'll have more data to share. Cheers, Leo Leo Ballate Chief Technology Officer San Francisco Museum of Modern Art Tickets available at SFMOMA.org 415.357.4145 lball...@sfmoma.org 151 Third Street | San Francisco, CA 94103 This message, together with any and all attachments, is intended only for the use of the recipient(s) named above. It may contain information that is privileged and confidential. If you are not the intended recipient, you may not review, copy or distribute this communication. If you have received this communication in error, please notify the original sender by email and delete the message, along with any attachments. -----Original Message----- From: mcn-l-boun...@mcn.edu [mailto:mcn-l-boun...@mcn.edu] On Behalf Of Nik Honeysett Sent: Monday, December 18, 2017 4:09 PM To: mcn-l@mcn.edu Subject: [MCN-L] Detected & Connected Users versus Actual Visitors I just came across this datapoint for comparative figures for detected and connected Wi-Fi numbers against actual visitor numbers. The article is over six months old and the data is almost two years old, but would seem to suggest that you have twice as many visitors as you are detecting on your Wi-Fi network, and about 10 times as many as your connected numbers. http://www.gizmodo.co.uk/2017/04/exclusive-heres-what-museums-learn-by-tracking-your-phone/ <http://www.gizmodo.co.uk/2017/04/exclusive-heres-what-museums-learn-by-tracking-your-phone/> Mapping this to my situation in Balboa Park, it seems within the realms of possibility. What would have changed in two years? More people with a Wi-Fi enabled device would mean a lower ratio? Other thoughts? Does anyone have any similar comparative data? -nik ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Nik Honeysett | Chief Executive Officer | BPOC | www.bpoc.org M (805) 402-3326 P (619) 331-1974 E nhoneys...@bpoc.org <mailto:nhoneys...@bpoc.org> 1549 El Prado, Suite 8, San Diego, CA 92101 A technology collaboration that connects audiences to art, culture and science. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ _______________________________________________ You are currently subscribed to mcn-l, the listserv of the Museum Computer Network (http://www.mcn.edu) To post to this list, send messages to: mcn-l@mcn.edu To unsubscribe or change mcn-l delivery options visit: http://mcn.edu/mailman/listinfo/mcn-l The MCN-L archives can be found at: http://www.mail-archive.com/mcn-l@mcn.edu/
