> Source: https://www.k-stra.com/solutions/retail-site-selection/
> Updated: 2026-10-09

Solutions · Retail site selection

# How do I choose the right location for a retail store?

Find where the opportunity is, then compare locations before you invest. The method works with any tool; K-Stra makes it a few clicks.

In short

Retail site selection means choosing where to open on evidence, by weighing demand — the residents and what they spend — against supply, the competitors already there. Shortlist a few sites where demand outweighs supply, draw the same drive-time catchment around each and compare them on people, income, spending, competitors and rents.

[Find the opportunity in your area](https://www.k-stra.com/a/?b=10&cat=markets_brands&mm=sector&src=solutions-retail-site-selection)

What makes this hard

## Why does choosing a store location by instinct go wrong?

A site that feels busy is not necessarily a site with customers. Foot traffic on a weekday morning says little about who lives ten minutes away, what they earn or how many stores already compete for them.

The choice is also wider than it looks. Before any shopfront, the real question is which suburb, which side of the highway and which corner, and every option draws a different catchment.

Most mistakes come from comparing sites on different terms: one seen on a visit, one in an agent’s brochure, one on a friend’s advice. A fair choice measures every candidate the same way, on the same data and the same travel time.

15,353

suburbs and localities in Australia, and 61,845 Statistical Areas Level 1: far more candidate areas than anyone can visit.

ABS Australian Statistical Geography Standard, 2021 edition, as loaded in K-Stra territory v5 (30 September 2026).

Method

## How do you choose a retail location, step by step?

1.  Step 01

    ### Define the customer and the trip

    Who buys from you, how often, and how far they will travel for it. A gym, a pharmacy and a furniture store need very different catchments.

2.  Step 02

    ### Fix one catchment rule

    Choose a single travel time and mode for every site, so that no candidate wins only because it was measured more generously.

3.  Step 03

    ### Scan the territory for opportunity

    Map where demand for your sector is high and supply is thin, before you open a single property listing.

4.  Step 04

    ### Shortlist candidate sites

    Keep three to five addresses that pass the first check, far enough apart not to share the same customers.

5.  Step 05

    ### Measure each catchment

    Residents, families, age, income and spending inside the same drive time around every candidate.

6.  Step 06

    ### Count the competition

    Competitors of your sector inside each catchment, and how close they sit to the door.

7.  Step 07

    ### Weigh costs and your own network

    Rents and property values nearby, and how much each site overlaps stores you already run. Then decide on the numbers.


Data

## How do you measure demand and supply around a candidate site?

Every location decision weighs two things: the demand of the people who live within reach, and the supply of the stores already serving them. Measure both the same way for every candidate, and the comparison is decided by the site, not by the source.

Demand

### Who lives there, and how much they spend

Residents, families, ages, income and spending power from ABS data, counted on 14.5 million address points.

[Sources and years](https://www.k-stra.com/product/data/#population)

Supply

### Who already sells there

More than 2 million Australian businesses and stores, searchable by sector or by brand and updated every month.

[Sources and years](https://www.k-stra.com/product/data/#markets)

**Opportunity** is where demand outweighs supply: for each consumer sector, a spending model sets the two against each other, colours the gap on the map and lists the five best locations.

Costs come last. Property values and rents, estimated from portal listings and summarised by postcode with the size of the sample, tell you what each site will cost once you know where the customers are. [Real estate data](https://www.k-stra.com/product/data/#real-estate) .

*[Image: K-Stra supermarket sector analysis on a 10-minute drive from Chapel Street, South Yarra: market gap and competitors on the map, four candidate sites, and the Site comparison table with population and families on the right.]*

A supermarket sector analysis on a 10-minute drive from Chapel Street, South Yarra: market gap and competitors on the map, four candidates taken from the best locations and compared side by side. Same saved analysis as the table below.

In K-Stra

## How do you compare sites in K-Stra?

Site selection in K-Stra starts from a sector analysis, which already knows where demand and supply sit in the area you chose.

1.  WhereChoose the area you are considering: a drive time around a point, a few postcodes or a council.

2.  WhatPick your sector in Markets & Brands. The panel splits into opportunity, demand and supply, with the five best locations for opportunity, at least 500 metres apart.

3.  CompareUnder Compare sites, place up to five candidates on the map, or take them from the best locations, and evaluate them together.

4.  DecideRead people, families, income and spending indices and competitors for each site, plus the residents any two candidates would share.


The comparison also shows who each candidate would take residents' spending from: the main competitors, named one by one, and your own network once you add your existing stores from My Data. People & Economy and Real Estate add age, families, values and rents; the comparison tabs of the KPI panel set up to four targets side by side.

K-Stra runs on a dedicated server in Sydney: your datasets, your analyses and your results stay in Australia. Map tiles, payments and sign-in never see your files. Three steps can: geocoding sends only the address text, and only after you confirm; the AI assistant reads column names and values when you ask it about a dataset; email notifications carry figures from your analysis.[Where your data lives](https://www.k-stra.com/product/coverage/#where-your-data-lives) . Mark a dataset “session only” and it is deleted 24 hours after upload.

[Open this setup in the app](https://www.k-stra.com/a/?b=10&cat=markets_brands&mm=sector&src=solutions-retail-site-selection)

Example

## What does a comparison of candidate sites look like?

Four candidate sites for a supermarket in a 10-minute drive from Chapel Street, South Yarra, Melbourne VIC, each with its own 10-minute catchment, in the order the app ranks them. The two strongest share more than nine residents in ten: open both and they would compete with each other. Spend captured is the residents' spending each site would draw under the sector model, not a turnover forecast: it is for comparing sites in the same sector and area, and it leaves out workers, commuters and visitors, so CBD and station sites read low.

Comparison of four candidate supermarket sites on catchment population, families, income and spending indices, residents' supermarket spend, competitors, spend captured and overlap with the other candidates

Indicator

Auburn Road 482, Boroondara

Kaikoura Avenue 21, Boroondara

Forrest Hill 1, Stonnington

Faircroft Avenue 2A, Boroondara

Residents within 10 minutes

348,984

355,881

435,508

268,582

Families

79,057

80,544

87,622

62,591

Income index (100 = Australia)

120.9

120.3

113.5

121.5

Spending index (100 = Australia)

119.6

119.1

112.7

120.2

Supermarket spend of the residents (A$ m a year)

789.8

803.9

960.5

609.1

Supermarkets in the catchment

80

79

132

53

Spend the new site would capture (A$ m a year)

6.23

6.20

5.72

5.02

Residents also in another candidate’s catchment

93.1% (Kaikoura Avenue 21)

91.3% (Auburn Road 482)

50.2% (Auburn Road 482)

97.7% (Kaikoura Avenue 21)

Sources: ABS population 2024 (families: 2021 Census); income and spending indices, 100 = Australian average; supermarket spend of the residents from ABS household spending 2025 and the K-Stra sector model; competitors from the K-Stra places catalogue 2026. All four sites assessed as opening together. K-Stra analysis of 7 October 2026.

Cost

## How much does it cost to compare store locations?

The sector analysis costs 40 credits on any area, however large. Each candidate in the comparison adds 20 credits, so comparing 3 sites costs 100 credits in total.

Adding Real Estate brings it to 120 credits, and five People & Economy topics on top make a full study of 130 credits, within the Single report pack of 150. A free account starts with 40 credits, enough to run the sector analysis and see the best locations. No subscription required.

[How credits work](https://www.k-stra.com/pricing/how-credits-work/)

-   One Markets & Brands sectorOpportunity, demand, supply and the five best locations

    40 credits
-   Site comparison, 3 candidates20 credits per candidate site

    60 credits
-   Map, opportunity layer, tables and exports

    Free
-   Sector + 3 candidates\= 100 credits

Optional, not in the total

-   Real Estate around the sitesValues and rents · every indicator included

    \+ 20 credits

Every action shows its estimate first, with your balance after it, and runs only when you confirm.

FAQ

## What else do people ask about choosing a store location?

### How many sites should I compare at once?

Three to five is a practical number. K-Stra compares up to five candidates in one run, and each is judged on its own against today’s market, because you are choosing between alternatives rather than opening them all.

### What if I do not have a candidate address yet?

Start from the map of opportunity. A sector analysis colours the area by where demand outweighs supply and lists the five best locations, each at least 500 metres from the others; any of them becomes a candidate with one click.

### Can I check a single address instead of several?

Yes. A comparison can hold just one candidate: it measures the people, the spending and the competitors in that address’s catchment against the market as it is today.

### Should rent decide the location?

Rent is a cost to weigh against demand, not the place to start. A cheap site in a thin catchment is usually cheap for a reason, so read rents and values from Real Estate once you know where the customers are. Real Estate costs 20 credits per analysis.

### Does every site need the same travel time?

For a fair comparison, yes. In K-Stra the candidates share the catchment of the sector analysis, and you can change it from 1 to 30 minutes for all of them at once.

### Can the AI assistant set up the comparison for me?

Yes, inside the app. Without an account it can prepare and price the analysis in its first 2 free answers; with a free account it also runs it. It can set up the sector analysis and place the candidates, and it asks before running anything that costs credits. Each answer costs 0.5 credits. [How the assistant works](https://www.k-stra.com/product/ai-assistant/) .

Related pages

-   [Catchment area analysis](https://www.k-stra.com/solutions/catchment-area-analysis/)
-   [Cannibalisation analysis](https://www.k-stra.com/solutions/cannibalisation-analysis/)
-   [All solutions](https://www.k-stra.com/solutions/)
-   [The data in K-Stra](https://www.k-stra.com/product/data/)
-   [AI assistant](https://www.k-stra.com/product/ai-assistant/)
-   [Pricing](https://www.k-stra.com/pricing/)
-   [Free trial](https://www.k-stra.com/pricing/free-trial/)

Before you sign a lease

## Compare locations before you invest.

Open the map, pick your sector and see where demand is still waiting for a store. Exploring costs nothing.

[Open the app — free to explore](https://www.k-stra.com/a/?b=10&cat=markets_brands&mm=sector&src=solutions-retail-site-selection)

A sector analysis runs only after you confirm the estimate
