What the answer looks like
Illustrative output on sample data
Illustrative example: how Lexi answers this for a neighborhood bistro group with six venues. It counts guests with six or more visits in the past 12 months as regulars, matched across POS, reservations and loyalty.
- Venue 1: regulars are 9% of guests and 46% of revenue
- Venue 2: regulars are 6% of guests and 31% of revenue
- Venue 3: regulars are 12% of guests and 61% of revenue
What the data shows
Venue 3 leans on regulars the most. A group of 480 guests brings in three-fifths of its revenue.
What it means
Venue 3 is stable while those guests stay, and exposed if a few dozen drift away. Venue 2 depends on one-off guests and feels every quiet week.
What to do
Track Venue 3's regulars monthly and flag anyone who misses their usual visit. Build a second-visit journey for Venue 2.
Want me to show which regulars at Venue 3 are already overdue?
Why it matters
A reliable base of regulars keeps a venue open through quiet weeks. Knowing what share of each venue's revenue they carry shows which venues are resilient, which depend on a small group that could drift away, and which still rely on one-off guests.
Frequently asked questions
How many visits make a guest a regular?
There is no fixed number. Set it from your own visit patterns, such as six or more visits in 12 months for a neighborhood restaurant, or weekly visits for a cafe. Use one definition across all venues so the shares can be compared.
Is it risky for a venue to rely on regulars?
Reliance is healthy while the regulars stay, but a small group carrying most of the revenue leaves little buffer. Watch for regulars who miss their usual visit, since losing a few dozen of them can move a venue's monthly sales.
How do you turn more guests into regulars?
Look at what current regulars did early on: how soon they made a second visit, what they ordered and how they booked. Then encourage first-time guests to follow the same path, for example with a reason to return within three weeks.