Average Daily First-time Visitors
Average daily first-time visitors is the mean number of new guests a restaurant attracts per day — guests with no prior recorded visit. Tracked through WiFi-based identity resolution, it measures acquisition velocity and, paired with returning-visitor data, shows whether a restaurant is genuinely growing its guest base or simply recycling the same regulars.
Average daily first-time visitors
Average daily first-time visitors is the mean number of new guests a restaurant attracts per day. Tracked through WiFi identity resolution — which recognizes whether a device has been seen before — it’s a direct measure of acquisition velocity: how fast you’re bringing genuinely new people through the door.
Acquisition without the blind spot
Total traffic can’t tell you whether you’re growing or treading water; first-time visitor counts can. Pair the metric with retention and you get the full picture: a healthy restaurant attracts new guests and keeps them. A high first-time count with weak retention signals a discovery engine that works and an experience or follow-up that doesn’t — guests find you once and never return.
Watching this number against your win-back and retention efforts shows whether marketing spend is buying durable growth or just renting one-time visits.
Frequently asked questions
How does a restaurant identify first-time visitors?
Through WiFi identity resolution, which recognizes whether a guest's device has connected before. New devices register as first-time visitors, letting the restaurant measure acquisition automatically rather than guessing from total counts.
Why track first-time visitors separately from total traffic?
Because total traffic blends new and returning guests into one number that can't tell you whether you're growing. Isolating first-timers measures acquisition velocity directly — and pairing it with retention reveals whether new guests are sticking or slipping away.
Bloom turns guest data into recovered revenue — an average of $53,000+ per location a year.
See your restaurant's data