Case study no. 1 · A creators' summit, North Texas · 31 October 2026
37 people, 252 reasons to meet, one day: the case for owning your identity and mapping the room.
About 350 people across a day, never more than about 100 in the hall at once. More than 30 banners on the walls, 4 of them ours. Nobody there had heard of us. We'd done no marketing at all. Design, printing and setup took 48 hours, and the data came in within half a day. This is everything we counted that weekend, everything we didn't, and what it says about a people who've never been able to see each other in one room.
Counted read from our rows Inferred worked out from them Guess an educated idea to be tested
What the banners said
The idea you'd expect to win was ownership: your own address, your own name, stop paying rent. It's the founder's reading too, and it may yet be right about why people stay. It isn't what made them lift a phone. Four banners went up. During the show, one line took more scans than the other three together: "Everyone here is looking for someone". The banner about your own address took 2. Each dot below is one scan during show hours.
10 of 18
banner scans went to one banner of four. If the four were equally likely, a split this lopsided would happen by chance about 5 times in 1,000.
We don't know where each banner hung. The map may simply have had the best wall. Scans aren't fully independent either, since 19 people made 25. Next time rotate the banners halfway through the day, and this becomes proof.
Ownership wasn't really tested: only one of the four spoke to it. Both can be true. Proximity may be the hook and ownership the reason to stay. Then the order of the pitch flips: first "someone here is looking for you", and only then "and that address is yours".
Why 19 is a big small number
Nobody pays for a banner expecting action. An online display ad gets clicked about 0.46% of the time with one thumb and no effort. Here, people had to stop walking, take out a phone, aim it and wait. That comparison is loose: a click rate and a share of a crowd have different denominators, and we found no trustworthy benchmark for event banners. Vendor figures for QR codes mix definitions too much to quote.
The stronger number is what happened next. Across the weekend 9 accounts came from a scan, against 31 people who scanned, and 16 of the 22 newcomers then described themselves in about nine separate choices each, at a conference, on a phone, standing up. The median newcomer started describing themselves 2.2 minutes after making an account. Nobody had to be chased.
5.4%
scanned during the show. Plausible range 3.5 to 8.3%, and 350 is itself an estimate. A hall of about 100 at a time also means thin foot traffic past each banner.
45%
of new accounts came through a hand: a vendor's gifted card (8) or a tap (2). QR brought 9. Banners open the question, and a person often closes it.
95%
never scanned. That's the honest headline and the whole opportunity. We know nothing about them.
One day, hour by hour
Saturday, doors at 9. A brand nobody knew took 11 scans in its first hour. By 6 PM the cards were moving hand to hand: 68 of the day's taps came in the last two hours. Every one of the 6 connections made that weekend happened while the show was running. Counted
Why the evening surge? We don't know. Guess People had seen it around all day and passed it on as they were leaving, or a group did it together. Hourly scans by banner would tell us.
One person against the room
Every dot is a real person with the number shuffled, so nobody can be identified. Pick one and see how many reasons there were to meet them. Then drag the slider and watch the room fill. The value doesn't grow in a line.
The median person
20
Everyone who described themselves, by reasons to meet. Selected person lit.
Counted Nobody who described themselves got zero. The lowest was 8. The 10 who wrote nothing got zero, every one of them. In this room, invisibility was the only thing that left a person alone.
What the room asked of itself
The most-wanted people weren't investors. Sounding boards tied for first. People also offered exactly as many things as they asked for: 52 offers, 52 asks. That's partly how the form works, so don't read too much into the balance. The words are the more interesting part.
Only words held by 5 people or more are shown. Of 27 people. "Grow my network" is 48% of them, at an event full of the people they meant.
The question we can't answer yet
The founder's observation from the floor is that the overwhelming majority who signed up were women. This study can't confirm it. NexusG8 doesn't ask gender, so the snapshot has no such field. Nothing below is a finding. It's the test that would make it one.
The fix is one optional question, asked with a reason, and the event's own attendee split as a baseline. Any gender field needs a Privacy Policy line first. Research on this is thin: one study of entrepreneurs in formal networks found women saw more economic value in them than men did. It's suggestive, and it isn't about this community.
Who. Gender, age, business type and city of the 22, and of the full crowd as a baseline.
Where and when. Each banner's location, footfall, and scans by hour against the stage schedule.
Outcomes. Did a meeting lead to a client, a hire or a partner? Without one story like that, this is potential, not value.
Comparison. No second event, no control. One room can't show what's typical.
Non-scanners. Five exit interviews would teach more than every number on this page.
Why it might work on people
None of these are shown by our data. They're where a good analyst would look next.
A classic 1950 housing study by Festinger, Schachter and Back found that friendships follow physical closeness. A conference gives you the closeness, then hides everybody's needs. Test: match rates inside a room against the same people online.
Psychologists call it pluralistic ignorance. "Everyone here is looking for someone" may have won because it makes a private need feel normal. Test: A/B the line at the next event.
Granovetter's "strength of weak ties" (1973) found new opportunities tend to come through acquaintances. 245 of 252 routes went unused, which is a lot of weak ties left on the table. Test: do outcomes come more from pairs with no shared connection?
Nine choices about yourself is effort, and people tend to value what they've helped build (the "IKEA effect", Norton and colleagues, 2012). Test: do people with more items return more often?
10 of 22 accounts came through a person's hand or a tapped card. Trust moves along people. Test: retention by way in: vendor, tap, scan.
The address banner drew 2 scans of 18. Perhaps it's a truth people agree with after they've arrived, and not the thing that makes them stop. Test: ask members at 30 days why they stayed.
What this could become
We reached about 5% of one event with 48 hours of preparation and no marketing. Move the slider to see what the same 350 hold if more of them take part. Illustrative model
people visible
reasons to meet, if the room's 72% rate held. It wouldn't hold perfectly, since this crowd chose itself.
at a cautious 38%, the rate across everyone including the silent.
Thirty-seven people and 252 reasons to meet that nobody could have seen an hour before. Seven pairs met, fourteen people, in a hall that never held more than about 100. That gap is the product, and also the work still ahead of it. The people were close the whole time. They just couldn't see each other, and that part is fixable.
NexusG8 helps you claim an identity and gives you an address. Then it maps you, your communities and your networks to unlock opportunities that are invisible today, with just a tap or a scan.
Because we are...