Scaling a restaurant business: existing guests near your new venue
What the answer looks like
Illustrative output on sample data
Illustrative example: how Lexi answers this for a Korean barbecue group opening its fifth venue. It maps guests from POS, reservations and the loyalty app by home ZIP code and visit history.
- Includes guests with a visit in the past 18 months.
- Includes guests whose home ZIP code is within 3 miles of the new site.
- Splits them by the venue they visit most.
What the data shows
3,900 existing guests live within 3 miles. 2,600 of them visit the Midtown venue, a 25-minute drive away, and 1,300 visit the other three.
What it means
The new venue will take some trade from Midtown, but those guests are traveling far today and may visit more often once it is close.
What to do
Invite the 3,900 to a preview night, and track Midtown sales for three months after opening.
Want me to build the preview night audience for Klaviyo?
Why it matters
A new venue opens faster when it already has a base of guests nearby. Counting existing guests within a few miles, and which venues they use today, sizes that base, shows which sister venue could lose trade, and gives the launch a ready audience.
Frequently asked questions
How do you scale a restaurant business to new locations?
Start where demand already exists. Map your current guests by home and work location, look for clusters far from your existing venues, and open where enough of them already travel to reach you. Then invite them first when the new venue opens.
Will a new location take sales from existing venues?
Some overlap is normal. Measure how many guests near the new site already visit a sister venue, and track that venue's sales after opening. Guests who traveled far often visit more often once a closer option opens, which can offset the loss.
What data helps choose a new restaurant location?
Guest addresses or ZIP codes from reservations, loyalty and online ordering show where your current guests live. Adding visit frequency and spend shows which clusters are most valuable, and how far they already travel to reach your venues.