For restaurants and retail: your branch data decides where to open next
The decision to open a branch is usually made on instinct, after the owner drives through an area they liked. Your existing data holds a sharper answer: your customers tell you where they order from every day, and you are not reading the message.
Start with the simplest data you own: delivery addresses
Your orders carry addresses. Plot them on a map as points and you will immediately see clusters you did not know about: a neighborhood ordering heavily while your nearest branch is twenty minutes away. That is a clearer signal than any paid market study, and it comes from your own data. Try Map Studio with your orders table and shortcut the path.
Density alone deceives
A neighborhood with many orders may already be well served by a nearby branch. The more important number is not order count but order count divided by distance or delivery time. Look for areas with high demand and long delivery times: that is where delay is costing you customers you do not know you lost.
Data you do not own but can access
Population and establishment data is freely available from the General Authority for Statistics and from OpenStreetMap. Layering it over your orders gives a fuller picture: where people live who do not order from you at all, which is the real growth opportunity rather than the areas you already serve.
Test before you sign a lease
Before a lease, run extended delivery to the candidate area for a month and measure demand for real. The test costs far less than a branch in the wrong place, and the resulting data settles an argument that has run on opinions for months.
Frequently asked questions
We have no delivery data, we are a local dine-in restaurant
Use any source carrying a location: loyalty signups, phone number prefixes, or even a short customer survey about their neighborhood. The principle holds: any geographic data beats instinct.
How many orders are enough for analysis?
A few hundred give a clear signal on clusters. Do not wait for thousands, since the geographic pattern appears early and holds steady.
Is this a complete feasibility study?
No, it is one layer of it, and the most important one for location. Rent, competition, and licensing remain, but this layer narrows your options to areas demand actually supports.