"How many people came?" is the wrong first question. The metrics that move money are: which source drove each check-in, how many scans became check-ins, when people arrived, and how many came back. Capture those at the door and every promoter, poster and night stops being a guess.
Ask most operators how last Friday went and you'll get one number: "packed" or "dead." That number feels like data, but it's a mood, not a metric. It can't tell you why the room filled, whether the promoter you paid actually delivered, or what to do differently next week. Real door analytics answer a different question — not "how many," but "which lever worked."
Here's what's worth capturing, roughly in order of how much it'll change your decisions.
1. Check-ins by source — the one that pays for itself
This is the single most valuable number at the door, and almost nobody captures it cleanly. Every check-in should be attributed to where it came from: which poster, which promoter, which channel, which QR.
Do that and the eternal argument dissolves. You ran a poster on 104th, boosted a promoter, and printed flyers for Whyte Ave — and instead of guessing which filled the room, you see it ranked. The poster drove 96 check-ins, the promoter 74, the flyer 22. Now next week's spend picks itself, and you can pay promoters on results, not on the size of the crowd they claim in their DMs.
The goal isn't to know how busy you were. It's to know what to spend on next week — and who to stop paying.
2. Scan-to-check-in conversion
Scans are a vanity metric on their own — a poster can rack up 400 scans and still put almost nobody in the room. What matters is the drop-off between scan and actual entry:
- A source with high scans, low check-ins is generating curiosity but not commitment — maybe the offer's weak, or the crowd's wrong.
- A source with lower scans, high check-ins is punching above its weight — that's where you lean in.
Conversion is what separates a poster that looks like it worked from one that actually did.
3. Arrival timing through the night
When people show up tells you how to staff and when to promote. If check-ins spike at 11 and die by 12:30, your last-table push should fire at 10:45, not 1 a.m. If a promoter's crowd all arrives at open and leaves early, that's a different (and often less valuable) crowd than one that arrives late and stays. Timing turns your guest list into a picture of the night's shape, not just its size.
4. VIP vs. first-timer mix
A room full of regulars is a healthy business; a room full of one-time promoter walk-ins who never return is a treadmill. Tracking the mix of returning VIPs versus brand-new guests tells you whether you're building a base or just renting a crowd every weekend. Both have a place — but you want to know which you're getting.
5. Returning-guest rate
The compounding metric. What share of tonight's crowd has been in before? A rising return rate means your owned list and re-engagement are working — you're turning walk-ins into regulars. A flat or falling one means you're filling the room but not keeping anyone, and every night starts from zero.
What to ignore
Not every number deserves a place on the dashboard. A few that look important and aren't:
- Raw social reach / impressions. Impressions aren't people at your door. Attribution to check-ins is the only version of "reach" that pays rent.
- Total scans without conversion. Covered above — a big scan number with no check-ins behind it is a trap.
- Follower count. A rented audience, not an owned one. Useful for social proof, useless for filling Tuesday.
The catch: all of this is only worth anything if capturing it doesn't slow the door. That's the whole trick — the tracking has to be a byproduct of check-in, not a second job for the staffer. When each scan silently records its source, conversion and timing, you get the analytics for free. See it as a live heat-map in the demo.
Turn the numbers into moves
Metrics only matter if they change behaviour. The loop: track check-ins by source → cut the posters and promoters that don't convert → double down on the ones that do → use arrival timing to push at the right hour → grow return rate with a consented list. That's door analytics that actually run a better business, and it's the same flow we lay out in how to run a nightclub door in 2026.